National Healthcare Establishment and Workforce Statistics ...

National Healthcare Establishment & Workforce Statistics Hospital 2012 -2013

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National Healthcare Establishment and Workforce Statistics (Hospital) 2012-2013

January 2015©Ministry of Health Malaysia

Published by:The National Healthcare Statistics Initiative (NHSI) National Clinical Research CentreMinistry of Health3rd Floor, MMA House 124, Jalan Pahang53000 Kuala LumpurMalaysia

Tel. : (603) 40439300/400Fax : (603) 40439500E-mail : [email protected] : http://www.crc.gov.my/nhsi/

This report is copyrighted. Reproduction and dissemination of its contents- in part or in whole, for research, educational or non-commercial purposes is authorised without any prior written permission; provided the source is fully acknowledged. The suggested citation is ‘National Clinical Research Centre. National Healthcare Establishment & Workforce Statistics (Hospital) 2012-2013. Kuala Lumpur 2015’.

This report is also available electronically on the website of the National Healthcare Statistics Initiative at: http://www.crc.gov.my/nhsi/

Funding:The National Healthcare Statistics Initiative was funded by a grant from the Ministry of Health Malaysia (MRG Grant No. NMRR-09-842-4718)

Please note that there is potential for minor corrections of data in this report. Please check the online version at http://www.crc.gov.my/nhsi/ for any amendments. We welcome any suggestions or further enquiries. Please contact us via the channels stated above.


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CONTENTS

ACKNOWLEDGEMENTS iv

ABOUT NATIONAL HEALTHCARE ESTABLISHMENT AND WORKFORCE SURVEY (NHEWS) – HOSPITAL

v

MEMBERS OF NHEWS (HOSPITAL) PROJECT TEAM vii

MEMBERS OF NHEWS (HOSPITAL) EXPERT PANEL viii

SUMMARY OF STUDY PROCESS ix

STUDY METHODOLOGY x

CONSORT DIAGRAM

Consort Diagram NHEWS 2012 (Acute Curative Hospitals) xviii

Consort Diagram NHEWS 2013 (Acute Curative Hospitals) xix

SURVEY RESPONSE RATE xx

ABBREVIATIONS & SYMBOLS xxi

EXECUTIVE SUMMARY 1

CHAPTER 1 | HOSPITAL FACILITIES IN MALAYSIA 6

Table 1.1 Acute Curative Hospitals 8

Table 1.1 1 Categories of Acute Curative Hospitals 10

Table 1.2 Total Inpatient Beds 12

Table 1.2.1 Inpatient Beds in Specialist Hospitals 14

Table 1.2.2 Inpatient Beds in Non-specialist Hospitals 16

Table 1.2.3 Inpatient Beds in Maternity Centres 18

CHAPTER 2 | HOSPITAL MEDICAL DEVICE IN MALAYSIA 22

Table 2.1 Mammogram Machines 26

Table 2.2 Total Mammography and Screening Mammography Performed 28

Table 2.3 Estimated Screening Mammography Performed for Women Aged 40-74 Years, 2012

30

Table 2.4 Estimated Screening Mammography Performed for Women Aged 40-74 Years, 2013

31

CHAPTER 3 | HOSPITAL ACTIVITIES IN MALAYSIA 34

Table 3.1 Hospital Admissions, and Rate of Admissions per Day 36

Table 3.2 Average Length of Stay (ALOS), Bed Occupancy Rate (BOR) and Turnover Interval (TOI)

38

Table 3.3 Average Length of Stay (ALOS) by Categories of Acute Curative Hospitals 40

Table 3.4 Bed Occupancy Rate (BOR) by Categories of Acute Curative Hospitals 42

Table 3.5 Turnover Interval (TOI) by Categories of Acute Curative Hospitals 44

Table 3.6 Emergency Department Visits, General Outpatient Department Visits and Specialist Clinic Visits

46

Table 3.7 Public Specialist Clinic Visits (Medicine, General Surgery, Orthopaedics and Obstetrics & Gynaecology)

48

Table 3.8 Public Specialist Clinic Visits (Paediatrics, Otorhinolaryngology (ENT), Ophthalmology, Psychiatry and Oncology)

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CHAPTER 4 | HOSPITAL HEALTH WORKFORCE IN MALAYSIA 52

Table 4.1 Medical Practitioners 54

Table 4.1.1 Specialists and Medical Officers 56

Table 4.1.2 Internal Medicine Specialists 58

Table 4.1.3 Cardiologists, Respiratory Medicine Specialists and Nephrologists 60

Table 4.1.4 Endocrinologists, Neurologists and Rheumatologists 62

Table 4.1.5 Gastroenterologists, Hepatologists and Clinical Haematologists 64

Table 4.1.6 Geriatricians, Infectious Disease Specialists and Dermatologists 66

Table 4.1.7 General Surgeons 68

Table 4.1.8 Colorectal Surgeons, Hepatobiliary Surgeons and Urologists 70

Table 4.1.9 Vascular Surgeons, Cardiothoracic Surgeons and Neurosurgeons 72

Table 4.1.10 Breast & Endocrine Surgeons and Breast Surgeons 74

Table 4.1.11 Plastic & Reconstructive Surgeons and Paediatric Surgeons 76

Table 4.1.12 Obstetricians & Gynaecologists and Paediatricians 78

Table 4.1.13 Emergency Medicine Specialists and Anaesthesiologists 80

Table 4.1.14 Ophthalmologists and Otorhinolaryngologists 82

Table 4.1.15 Orthopaedic Surgeons, Sports Medicine Specialists and Rehabilitation Medicine Specialists

84

Table 4.1.16 Psychiatrists and Oncologists 86

Table 4.1.17 Radiologists and Nuclear Medicine Specialists 88

Table 4.1.18 Pathologists and Forensic Pathologists 90

Table 4.2 Staff Nurses and Staff Nurses with Post-Basic Training 92

Table 4.3 Assistant Medical Officers (AMO) and Assistant Medical Officers with Post-Basic Training

94

Table 4.4 Radiographers and Radiographers with Post-Basic Training in Mammography / Computer Tomography (CT) Scan

96

APPENDICES

APPENDIX 1 | DEFINITION OF NHEWS (HOSPITAL) TERMINOLOGY 100

APPENDIX 2 | PARTICIPANTS OF NHEWS (HOSPITAL)

Participants of NHEWS (Hospital) 2012 105

Hospital Sector: Public/ Ministry Of Health 105

Hospital Sector: Public/ Ministry Of Health/Psychiatric Institution 107

Hospital Sector: Public/ University 108

Hospital Sector: Public/ Ministry of Defence 108

Hospital Sector: Private 109

Participants of NHEWS (Hospital) 2013 112

Hospital Sector: Public/ Ministry Of Health 112

Hospital Sector: Public/ Ministry Of Health/Psychiatric Institution 114

Hospital Sector: Public/ University 114

Hospital Sector: Public/ Ministry of Defence 114

Hospital Sector: Private 115


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APPENDIX 3 | MALAYSIAN POPULATION, 2010-2013 119

Table A3.1 Total Population in Malaysia by State, 2010-2013 119

Table A3.2 Female Population in Malaysia by State 2010, 2011, 2013 119

Table A3.3 Female Population (aged 50-69 years old) in Malaysia by State, 2012-2013 120









Table A3.12 Paediatric (0-14 years old) Population in Malaysia by State, 2010, 2011, 2013 124

Table A3.13 Geriatric (60 years old and above) Population in Malaysia by State, 2010, 2011, 2013

125

APPENDIX 4 | DATA QUALITY STATEMENT 126

APPENDIX 5 | SURVEY PROFILE & RESPONSE RATE ANALYSIS 130

Table A5.1 Survey Profile of NHEWS (Hospital) 2012 & 2013: Public Hospitals 130

Table A5.2 Survey Profile of NHEWS (Hospital) 2012 & 2013: Private Hospitals 131

Table A5.3 Response Rate of NHEWS (Hospital) 2011, 2012 & 2013 132


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ACKNOWLEDGEMENTS

The National Healthcare Statistics Initiative team would like to thank the Director General of Health Malaysia for his continuous support towards this survey and permission to publish the report.

Also, our sincere appreciation to the following for their participation, assistance, support and contributions:

• Deputy Director General of Health (Research and Technical Support), MOH

• Deputy Director General of Health (Medical), MOH

• Deputy Director General of Health (Public Health), MOH

• Director, National Clinical Research Centre (NCRC), National Institutes of Health (NIH)

• Director, Medical Development Division, MOH

• Director, Medical Practice Division, MOH

• Health Informatics Centre, MOH

• Private Medical Practice Control Section (National level)

• Private Medical Practice Control Unit (State level)

• The Association of Private Hospitals of Malaysia (APHM)

• All participating Ministry of Health, private, university and Ministry of Defence hospitals which provided or allowed access to their establishment and workforce data.

• KPJ Healthcare Berhad

• Pantai Holdings Berhad

• Columbia Asia Sdn Bhd

• Ramsay Sime Darby Healthcare Group

• Malaysian Medical Council

• Training Division, MOH

• Members of the NHEWS- Hospital Expert Panel

• All medical doctors and support personnel who participated in the NHEWS- Hospital • All those who have supported or contributed to the success of the NHEWS- Hospital and

publication of this report

Thank you.

National Healthcare Statistics Initiative (NHSI)Ministry of Health, Malaysia


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ABOUT NATIONAL HEALTHCARE ESTABLISHMENTS AND WORKFORCE STATISTICS (HOSPITAL)

Background

National Healthcare Establishment and Workforce Statistics (NHEWS) Hospital is an initiative that gathers information on hospitals in the country concerning their services- with emphasis on specialised clinical services, facilities, medical devices, and health workforce. The NHEWS survey covers all acute curative hospitals and related specialty services for both public and private sectors. (The definition of acute curative care is provided in Appendix 1).

However, unlike the NHEWS (Hospital) surveys of previous years (2008/09, 2010, 2011), the current survey reports only acute curative hospitals without distinguishing the specialty services, except when reporting the public hospital specialist clinic visits. Further, only one medical device is reported here compared to several devices in the previous reports.

Besides that, the hospital population frame also has differed between the current and the past NHEWS (Hospital) surveys. Revision of inclusion criteria has led to the Ministry of Defence (MOD) hospitals being included in the 2012-2013 survey compared to the previous surveys.

Objectives

General Objective

To document the availability and distribution of hospitals/facilities, services, medical devices, and health workforce in the country.

Specific Objectives

• To estimate the number and density (number per population) of hospitals/facilities, services, and health workforce in Malaysia by geographical areas.

• To map out trends in the number and density of hospitals/facilities, services, and health workforce through consistent and reliable data collection.

Structure of Report

This fourth NHEWS (Hospital) report provides overall statistics on the acute curative hospitals in Malaysia during 2012-2013. It consists of four chapters:

• Chapter 1: Hospital Facilities

• Chapter 2: Hospital Medical Device (Mammogram Machine)

• Chapter 3: Hospital Activities

• Chapter 4: Hospital Health Workforce

Data prepared for this report has been reviewed by an expert panel of hospital services. This review process is identical to that of the previous NHEWS (Hospital) reports. Previously, each chapter within the report was written by an expert panel of the respective service. Meanwhile for the current report, all chapters were written by members of the NHEWS (Hospital) project team.

Data will first feature the national picture, and then followed by a drill-down report of sectors within states. We have also included data from the 2010/2011 survey in this report; to serve in presenting patterns/ trends within the datasets across multiple time points, wherever the data is available.


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However, data from the 2010/2011 survey that appears in this report may be dissimilar to data found in the NHEWS (Hospital) 2010 and NHEWS (Hospital) 2011 reports. Several reasons contribute to this:

• The data may have been corrected following information that we received from the data source providers.

• Revision of “acute curative care” definition for this current report has led us to reclassify two hospitals that were labelled as “chronic curative care” in the 2011 report as “acute curative care” in the 2012-2013 report. These two hospitals were included in all re-analyses of the 2011 survey data presented in this report. We did so in order to minimise disharmony among these datasets, and therefore facilitate the three-year comparison.

• Rerun of non-response analysis of the 2011 survey data to standardise the statistical method to that of the NHEWS (Hospital) 2012-2013.

• Revision of calculation method of mean average length of stay (ALOS), mean bed occupancy rate (BOR), and mean turnover interval (TOI). Please refer to study methodology for further details (page xi).

• Referring specifically to the doctor workforce data:

- Continuing and periodic data cleaning based on updated sources of data verification e.g. from the MMC, NSR, and Medical Development Division MOH.

- The current NHEWS (Hospital) 2012-2013 features only acute curative services, whereas the previous NHEWS (Hospital) featured selected specialty services, which took into account long term care hospitals, therefore included the workforce within these hospitals as well for the count of doctor workforce. Thus in this report we present current (2013) and past (2010 & 2011) workforce data that have been standardised to include only doctors working in acute curative hospitals.

A specific example pertaining to this is the psychiatrist workforce. For the NHEWS

(Hospital) 2010 & 2011 survey, data included psychiatrists who were working in the psychiatric institutions. However in this report we only highlight the 2010 & 2011 data on psychiatrists working in acute curative hospitals.

The scenario above would have applied to the rehabilitation medicine specialist workforce as well, except that in 2010 & 2011, there were no rehabilitation medicine specialists working in the long term care hospitals being surveyed.

The NHEWS (Hospital) data was collected based on the needs of our stakeholders. Other data users are advised that the inclusion and exclusion criteria, and data definitions used in this report may differ from other sources. Any interpretation or comparison should be made with caution. The Health Informatics Centre, Ministry of Health Malaysia is the official source of health data in the country. Harmonisation of health data for the purpose of international comparisons should preferably be obtained from this official source.


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MEMBERS OF NHEWS (HOSPITAL) PROJECT TEAM

PRINCIPAL INVESTIGATOR DATUK DR. JEYAINDRAN TAN SRI SINNADURAI

PRINCIPAL CO-INVESTIGATORS

DR. SHEAMINI SIVASAMPU

DR. GOH PIK PIN

CO-INVESTIGATORS

DATO’ DR. NOORAINI BABA

DR. MD KHADZIR SHEIKH AHMAD

MR. ZAMANE ABDUL RAHMAN

PROJECT LIASON OFFICERS

DR. LAILI MURNI MOKHTAR

DR. AFIDAH ALI

PROJECT MANAGERS

DR. YEO SIEW LIAN

DR. FOO CHEE YOONG

DR. AIMI NADIAH JAMEL

SURVEY COORDINATORS

MRS. FATIHAH MAHMUD

MS. KAMILAH DAHIAN

MS. KASTURI MANOHARAN

ASSISTANT SURVEY COORDINATOR MS. SITI HASLINA OTHMAN

DATA ANALYST DR. FOO CHEE YOONG

DATABASE DEVELOPER/ADMINISTRATOR

ALTUS SOLUTIONS SDN. BHD.


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MEMBERS OF THE NHEWS (HOSPITAL) EXPERT PANEL

EXPERT PANEL INSTITUTION

Datin Dr. Nor Akma Yusuf Medical Development Division, Ministry of Health

Dr. Laili Murni Mokhtar Medical Development Division, Ministry of Health

Dr. Khalid Ibrahim Hospital Sungai Buloh

Matron Rosena Abd Ghani Nursing Division, Ministry of Health

Mrs. Jasintha SangarapillaiDepartment of Diagnostic Imaging,Hospital Kuala Lumpur

Ms. Lim Jew Heang Medical Record Department, Hospital Selayang

Tuan Haji Wan Azmi MohdMedical Assistant Board, Medical Practice Division, Ministry of Health


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SUMMARY OF STUDY PROCESS

Survey Population Framework Development

Survey Structure Development

Case Report Form (CRF) Development & Pilot Testing

CRF Distribution

Data Collection & Data Entry

Data Processing (Cleaning, Verification, Exploration)

Data Analysis & Estimation Procedures

Finalising of Dataset & Locking

Report Writing & Publication

QUERIES


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STUDY METHODOLOGY

Survey Population Framework Development

To determine the total hospital and related healthcare establishment population, we first matched the records of hospitals in the existing National Healthcare Establishment and Workforce Survey (NHEWS) Hospital database against other independent data sources : the Private Medical Practice Control Division, MOH (for private hospitals), and the Medical Development Division, MOH (for public hospitals). Both the matched and unmatched records were then reviewed. Verification was conducted by contacting each unmatched site to confirm their operational status and establishment details as of 31st December 2012 and 2013. These processes were performed for both the private and the public hospital lists. All verified changes were updated to our database. (Figure 1)

2012 & 2013Public

Hospital List(MDD)

2012 & 2013Private

Hospital List(CKAPS)

2011NHEWSHospitalDatabase

RecordMatching

MatchedRecords

RecordAccepted

Recordsupdated

Recordsupdated

Recordsaccepted

Recordsrejected

Verified withrespective

establishmentor authorities

Verified withthe unmatched

hospitals byphone

Details updated& accepted into

NHEWSdatabase

Verified withMDD/CKAPS

and/or theunmatchedHospitals

Unmatcheddetails e.g.

Phonenumber,Address

UnmatchedHospital Name

DoubtfulRecords

UnmatchedRecords

Figure 1 Process of Determining the Total Hospital & Maternity Centre Population


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The NHEWS (Hospital) 2012-2013 survey collected data from all related healthcare establishments in Malaysia. Inclusion and exclusion criteria for the survey are as shown below:

Table 1: Inclusion and Exclusion Criteria of NHEWS (Hospital) 2012-2013

Inclusion criteria Exclusion criteria

All general and specialised hospitals providing acute curative care1 from both sectors:

• Public sector - MOH - University - Ministry of Defence (MOD)

• Private sector

• Hospital units of institution, such as prison hospitals.

• Non-governmental Organisation (NGO) hospitals.

• Long term care hospitals e.g. rehabilitation and palliative care centres, nursing homes, leprosy centres and psychiatric institutions.

• Maternity homes.

• Hospitals that were non-operational in 2012 or 2013 (where applicable).

1 Acute curative care comprises health care contacts during which the principal intent is to relieve symptoms of illness or injury, to reduce the severity of an illness or injury, or to protect against exacerbation and/or complication of an illness that could threaten life or normal function. Other functions of care such as rehabilitative care, long-term care and palliative care are excluded. (OECD Health Statistics 2014)

Case Report Form (CRF) Development and Pilot Testing

Both the project team and expert panel of NHEWS (Hospital) developed the CRFs.

The CRFs were made available in printed and electronic versions; written in English (with Malay translation). Survey variables were grouped by sections: establishment details, facilities, activities and services, medical device, and workforce.

Definition of NHEWS (Hospital) terminology was provided alongside each of the terms used in the CRFs. A list of such definition may be found in Appendix 1. Radio buttons and/or numeric textboxes with pre-defined spaces were provided for each question in both versions of CRF. Where applicable, the unit (e.g. in days, %) of variables in question would be specified. To facilitate data submission for the doctor (specialist) workforce, a list of specialties and their corresponding code was provided with the printed CRFs, and respondents were required to fill in the code accordingly. Meanwhile for the electronic CRFs (eCRF), a similar set of specialties was listed in a drop-down menu from which to choose, and the code would be auto-generated by the system.

The eCRFs had unique features of automated validation rules, auto-calculation, and historical data view. Validation rules would apply automatically at the time of data entry; violating the rules would result in failure to submit the data and consequently prevent from proceeding to the next section(s). These rules were set after ascertaining their distribution and characteristics from previous NHEWS (Hospital) data. Auto-calculation would apply to certain variables (marked “to be auto-calculated”) and required no input from the respondents. Historical data view was provided to assist in consistency check between data for the current survey with data submitted in the past years of NHEWS (Hospital) survey. Such measures would facilitate immediate action upon inconsistent pattern of data.

Data verification procedures were implemented for both versions of CRF. The first part of the CRF would identify the contact person of an establishment with whom the NHEWS (Hospital) team would correspond should any queries regarding the submitted data arise. In addition, verification


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by the highest authority (i.e. Director or CEO) of an establishment was a pre-requisite for data submission. For printed CRFs, signature of the Director or CEO was required at the end of the CRF. For eCRFs, the Director or CEO was required to log in through a different username and password, and then review the data that has been entered for his/her hospital prior to verifying it for submission to us (by clicking on a “verify” button).

The CRFs were pilot-tested with a convenient sample of public and private hospitals. Feedbacks from this pilot test informed revisions and improvements of the CRFs prior to its use in the actual survey.

CRF Distribution

A survey pack containing the following documents were distributed via express mail to all target hospitals:

• Survey instruction manual

• An endorsement letter from the State Health Directors- for the public hospitals, or from the Association of Private Hospital Malaysia (APHM)- for the private hospitals.

• Username and password access details for eCRF

• A copy of the NHEWS (Hospital) 2011 report

Within three days after the postage, the first follow-up call was made to each hospital to confirm receipt of the survey pack, and to establish the first point of contact. Subsequent follow-up calls were made after two weeks of the initial call, to serve as reminders and/or monitoring of progress. Question and doubts concerning the survey were answered by trained NHEWS (Hospital) team members. Numerous follow-up calls were made until the response or non-response status of each hospital was confirmed. The list of hospitals that participated in this survey is available in Appendix 2.

Data Collection

Respondents had the option between two modes of data collection and submission:

1. Paper data submission via hard copy CRF (printed CRF) 2. Electronic data submission via NHSI web application (eCRF)

Data collection for the workforce section, particularly for the doctor workforce involved relevant details (e.g. qualification and specialty) of each doctor working in the hospital. Datasets containing the list of doctors for each hospital, which was obtained from its participation in the past NHEWS (Hospital) surveys, were pre-uploaded to the eCRFs of 2013. This aimed at minimising the need for manual data entry of the current survey. In comparison, data obtained for the remaining workforce category involved only the total count of the workforce.

Data Entry

Data from paper submissions were screened manually and reviewed for their completeness and logical consistency before data entry into the NHEWS (Hospital) database by trained members. Data submissions through electronic CRFs were entered directly into the NHEWS (Hospital) database by the data providers. Quality of data entry was inspected and maintained by several built-in features such as a compulsory data checking, consistency checks, auto-calculations and auto-default data from the previous NHEWS (Hospital) surveys. Activities performed in the database were recorded by an audit trail system.


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Data Processing

Data cleaning was performed in parallel with data entry and based on the results of edit checks. An edit check is a checking procedure for tracing doubtful data being entered. The editing was performed by NHEWS (Hospital) team members who are familiar with hospital settings. Any queries were then attended to by contacting the data entry personnel or any authorised representative at the participant’s site to seek further clarification or verification.

Exploratory data analysis was performed before database locking to ensure that the data was acceptable for analysis. Data duplication, range and consistency checks were performed to detect outliers and data that deviated. In cases where the data were not verifiable with the source(s), cross checks were done against other sources such as the Health Information Management System Reports, Malaysian Medical Council (MMC) Doctor Database, professional societies, National Specialist Register (NSR) and Registry Central Surveys.

Statistical and Estimation Procedures

NHEWS (Hospital) uses the census of all hospitals that are listed in the population frame (as provided by the MDD and CKAPS of MOH) to derive its estimates of the total facility, devices, activity and workforce of related healthcare services within the country. As participation is voluntary, non-response was anticipated and two sources of non-response were accounted for:

Unit non-response – occurs as a result of the healthcare establishment not responding to the survey.Item non-response – occurs as some respondents return partially completed survey forms.

A survey unit will be considered as non-response if the answers to key questions were missing.

Imputation techniques were used to account for item non-response, and weighting was used for unit non-response.

Imputation: Estimating Item Non-Response

The imputation process consisted of two stages. First, the missing values were imputed with reasonable assumptions (logical/ conditional imputation). For example, hospitals without any mammogram machines will have zero mammography performed.

The remaining missing values after the first step was further assessed for its suitability of other imputation techniques. Deterministic regression imputation was used in cases where appropriate predictor(s) was/were available. One fundamental assumption of our missing data imputation is that missing data occured at random i.e. missing completely at random (MCAR) or missing at random (MAR).

Weighting: Estimating Unit Non-Response

Each survey unit was assigned a weight in order to compensate the missing value of unit non-response and to estimate each variable for the whole population. The weight was calculated by dividing the number of hospitals in the population to the number of respondent hospitals in a stratified manner. This procedure also assumes similar characteristics of both respondents and non-respondents by each stratum.

To achieve this, multivariable response propensity model was used. We regressed hospital characteristics (X) that are known for the whole population e.g. size and state/region; to the response status i.e. the outcome (Y). We then computed the propensity score using the model and stratified all hospitals into five strata. Through this method, hospitals with similar characteristics will be grouped within a stratum, and the weight of each of the five stratum will then be calculated as per above description.


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We estimated the sum of each variable for each state and for the whole country: we first modelled the response propensity for each state that has less than full response using the method described above, to adjust for the non-respondents for each state. Then we obtained the estimates for the whole country for each variable by summing all states’ estimates. Some variables are reported as means, and the method for estimating these is described under the heading “list of formula” below.

An estimate of the sum of variables within Facilities/ Device/ Activities/ Workforce chapter (T) is represented as:

T = ∑ WiTi

Where: Ti is the number of facilities/devices/activities/workforce available in the ith facility

in the year,

Wi is the calculated weight of the ith facility

Limitation of the Estimating Procedures

Standard error is not a suitable mean to gauge variability in our setting since the respondents are not from a random sample.

The fundamental purpose of imputation and weighting is to adjust for bias in the responding units and produce less biased estimates. However, these procedures can only account for and adjust to known population characteristics that impact the response propensity and survey estimates. Should unknown characteristics exist (and there is no means to consider them), adjustment may be ineffective.

Furthermore, an assumption of similarity between respondents and non-respondents within the same propensity strata must be made when imputing for missing data and weighting for non-respondents. Therefore, a certain degree of bias may exist should the assumption not hold i.e. if the non-respondents were different from the respondents. The level of bias in the estimates will not be quantifiable without a further study of the non-respondents.

List of Formula

Facilities, devices, activities and workforce of related healthcare establishment and services are expressed as absolute count, and density by state, sector, and year. The absolute count refers to the count within a year’s duration for each survey year i.e. 2012 and 2013.

Calculations of density and calculations pertinent to each survey chapter are as follows:(The Malaysian population statistics used for density calculations may be found in Appendix 3.)

Hospital Facilities

i) Number of hospitals per 100,000 population =

ii) Number of beds per 1,000 population =

T× 100,000

P

T× 1,000

P


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Where: T is an estimate of the total quantity (sum) of the variable available in the

country in the year under consideration.

P is the midyear total population of Malaysia or the relevant geographic region where the survey was conducted, in the year under consideration.

Hospital Medical Device (Mammogram Machine)

i) Number of mammogram machines per million = (women aged 50-69 years) population

ii) Number of mammogram machines per million = (women aged 40-74 years) population

iii) Percentage of screening mammography =



Pw1 is the midyear population of women aged 50-69 years of Malaysia or the relevant geographic region where the survey was conducted, in the year under consideration.

Pw2 is the midyear population of women aged 40-74 years of Malaysia or the relevant geographic region where the survey was conducted, in the year under consideration.

T× 1,000,000

Pw1

T× 1,000,000

Pw2

Number of screening mammography performed

× 100Number of total mammography

performed

iv) Calculation for estimated number and density of screening mammography by age group of female population (40-74 years) will be described in Chapter 2, alongside the results.

Hospital Activities

i) Number of admissions per 1,000 population =

ii) Rate of admissions per day =

iii) Number of emergency department visits/ general outpatient department visits/ = specialist clinic visits per 1,000 population

T× 1,000

P

T× 1,000

P

T365 days


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iv) Mean average length of stay (ALOS), mean bed occupancy rate (BOR), and mean turnover interval (TOI):

• Calculation for these means has been revised from calculation of previous reports.

• Previously they were calculated by averaging the sum of each hospital statistic within a state to the total number of hospitals in the state.

• In contrast, for current calculation, we first pool the values of variables involved in the calculation of ALOS, BOR, and TOI for all hospitals within each state, and then run the calculation i.e. taking the state as a unit of analysis. Similarly, in calculating the national mean, the country is taken as a unit of analysis.

• The two methods of calculation is illustrated below, with the example of mean ALOS calculation:

Previous calculation: Mean ALOS for each state =

Mean ALOS for the country =




Sum of ALOS for all hospitals within a state

Total number of hospitals in the state

Sum of ALOS for all states

Total number of states in the country

Where: ALOS =

Total length of stay of discharged patients for a given period (TLOS)

Total number of discharged patients in the same period (TD)

Current calculation: Mean ALOS for each state =

Mean ALOS for the country =

∑ (TLOSi ×Wi) within a state

∑ (TDi ×Wi) within the state

∑ (TLOSi ×Wi) within the country

∑ (TDi ×Wi) within the country

Where: TLOSi is the TLOS for the ith facility in the year under consideration.

TDi is the total number of discharged patients for the ith facility in the year under consideration.

W i is the calculated weight of the ith facility


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Hospital Workforce

i) Number of medical doctors/ staff nurses/ assistant medical officers/ radiographers = per 100,000 population

T× 100,000

P

Data-Set Finalisation and Locking

All processed data were reviewed by the project team and all members of the expert panel to ensure validity and accuracy before the finalisation. The decision to lock the data set was made by the project team only after the finalisation. No further amendments to the data set were allowed except for rectifying errors that are supported by valid evidence as determined by the project team and/or expert panel. All amendments of data set, if any, must be approved by the co-investigator(s).

Data Security

The NHEWS (Hospital) 2012-2013 data collection was authorised under the Private Healthcare Facilities and Services Act 1998. However, participation was voluntary. Data collected in this NHEWS (Hospital) survey is regulated by the Personal Data Protection Act 2010 where applicable. All information collected is held in the strictest confidence and according to legal and research ethics guidelines.

Data Quality

A full description of NHEWS (Hospital) 2012-2013 data quality may be found in Appendix 4.


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n Ke

bajik

an

Ora

ng

Asli

(Abo

rigin

es W

elfa

re D

epar

tmen

t). E

ffect

ive

sinc

e 20

12,

the

hosp

ital

is c

urre

ntly

und

er t

he a

dmin

istra

tion

of

MO

H.

**N

ot f

unct

ioni

ng a

s ho

spita

ls:

not

prov

idin

g in

patie

nt

serv

ices

Analy

sis

Exclu

ded,

n =

1

1.

Long

-term

car

e, n

= 1

a.

Col

umbi

a As

ia E

xten

ded

Car

e H

ospi

tal –

Sha

h Al

am

Tota

l num

ber o

f hos

pita

ls in

Mala

ysia

n

= 36

2

Nu

mbe

r of h

ospi

tals

(ope

ratio

nal)

n =

353

Tota

l in-s

cope

hos

pita

ls

n =

345

MOD

n =

4

Unive

rsity

n =

3

MOH

n =

139

Priva

te

n =

207

Esta

blish

men

ts th

at h

ave c

ease

d to

op

erat

e sin

ce 20

12, n

= 4

a.

Im

ran

Ear,

Nos

e &

Thro

at S

peci

alis

t H

ospi

tal

b.

TMC

Wom

en's

Spe

cial

ist (

Kuan

tan)

Sd

n. B

hd.

c.

Sela

sih

Spec

ialis

t Cen

tre S

dn. B

hd.

d.

Trop

ican

a M

edic

al C

entre

(Pen

ang)

Sd

n. B

hd.

Esta

blish

men

ts th

at w

ere n

ot fu

nctio

ning

as

hos

pita

ls** i

n 20

12-2

013,

n= 5

a.

N

g Sp

ecia

list M

ater

nity

Cen

tre

b.

Kenc

ana

Mat

erni

ty C

entre

Sdn

Bhd

c.

O

ptim

ax E

ye S

peci

alis

t Hos

pita

l (P

enan

g)

d.

HSC

Che

ras

Spec

ialis

ts C

entre

e.

H

ospi

tal P

akar

Scu

dai

Exclu

ded,

n =

7

1. Z

ero

beds

, n =

1

a. H

ospi

tal T

uara

n

2. L

ong-

term

car

e, n

= 6

a.

Lep

rosy

, n =

1

i. R

ajah

Cha

rles

Broo

ke M

emor

ial

Hos

pita

l

b. P

sych

iatri

c in

stitu

tions

, n =

4

i. H

ospi

tal M

esra

Buk

it Pa

dang

ii.

Hos

pita

l Bah

agia

Ulu

Kin

ta

iii. H

ospi

tal P

erm

ai

iv.

Hos

pita

l Sen

tosa

c. R

ehab

ilitat

ion

Cen

tre, n

=1

i.

Hos

pita

l Reh

abilit

asi,

Che

ras

Ne

w ho

spita

ls in

2012

, n =

9

, n =

8

1.

MO

H, n

= 2

a. H

ospi

tal R

ehab

ilitas

i, C

hera

s b.

Hos

pita

l Ora

ng A

sli G

omba

k*

2.

Pr

ivat

e, n

= 7

a.

Beve

rly W

ilshi

re M

edic

al C

entre

b.

C

olum

bia

Asia

Hos

pita

l – S

etap

ak

c.

Hos

pita

l Sun

gai L

ong

d.

Opt

imax

Eye

Spe

cial

ist H

ospi

tal

(Pen

ang)

e.

H

SC C

hera

s Sp

ecia

lists

Cen

tre

f. KP

J Kl

ang

Spec

ialis

t Hos

pita

l

g.

Sim

e D

arby

Med

ical

Cen

tre A

ra

Dam

ansa

ra

Priva

te

n =

207

Publ

ic

n =

146

Inclu

ded

n =

132

Inclu

ded

n =

4

Inclu

ded

n =

206

Inclu

ded

n =

3

CO

NSO

RT D

IAG

RA

M N

HEW

S 20

12 (

AC

UTE

CU

RAT

IVE

HO

SPIT

ALS

)


xix

NAT

ION

AL H

EALT

HC

ARE

ESTA

BLIS

HM

ENT

& W

OR

KFO

RC

E ST

ATIS

TIC

S 20

12-2

013

HO

SPIT

AL

xix

CONS

ORT

DIAG

RAM

NHEW

S 20

13 (A

CUTE

CUR

ATIV

E HO

SPIT

ALS)

Exclu

ded,

n =

1

1. L

ong-

term

car

e, n

= 1

a.

C

olum

bia

Asia

Ext

ende

d C

are

Hos

pita

l –

Shah

Ala

m

Esta

blish

men

t tha

t has

ceas

ed to

ope

rate

in

2013

, n =

1

a. P

enan

g Sp

ecia

list M

ater

nity

Cen

tre

New

hosp

itals

in 20

13, n

= 7

, n =

8

1.

MO

H, n

= 1

a.

Nat

iona

l Can

cer I

nstit

ute,

Pu

traja

ya

2.

M

OD

, n=

1 a.

H

ospi

tal A

ngka

tan

Tent

era

Wila

yah

Kota

Kin

abal

u

3.

Priv

ate,

n=

5 a.

C

arl C

oryn

ton

Med

ical

Cen

tre

b.

Glo

bal D

octo

rs C

entre

c.

KP

J Pa

sir G

udan

g Sp

ecia

list

Hos

pita

l d.

Bo

rneo

Med

ical

Cen

tre

e.

Park

City

Med

ical

Cen

tre

Analy

sis

Tota

l in-s

cope

hos

pita

ls

n =

351

Inclu

ded

n =

133

Inclu

ded

n =

5

Inclu

ded

n =

210

Inclu

ded

n =

3

Num

ber o

f hos

pita

ls (o

pera

tiona

l)

n =

359

Unive

rsity

n =

3

MOH

n =

140

Tota

l num

ber o

f hos

pita

ls in

Mala

ysia

n

= 36

0

Priva

te

n =

211

MOD

n =

5

Priva

te

n =

211

n =

148

Publ

ic

Exclu

ded,

n =

7

1.

Zero

bed

s, n

= 1

a.

Hos

pita

l Tua

ran

2.

Lon

g-te

rm c

are,

n =

6

a. L

epro

sy, n

= 1

i.

Raj

ah C

harle

s Br

ooke

Mem

oria

l H

ospi

tal

b.

Psy

chia

tric

inst

itutio

ns, n

= 4

i.

Hos

pita

l Mes

ra B

ukit

Pada

ng

ii. H

ospi

tal B

ahag

ia U

lu K

inta

iii.

Hos

pita

l Per

mai

iv

. H

ospi

tal S

ento

sa

c

. Reh

abilit

atio

n C

entre

, n=1

i. H

ospi

tal R

ehab

ilitas

i, C

hera

s

CO

NSO

RT D

IAG

RA

M N

HEW

S 20

13 (

AC

UTE

CU

RAT

IVE

HO

SPIT

ALS

)


xx

SURVEY RESPONSE RATE

We recorded an improvement in response rate for this round of NHEWS (Hospital) survey. There was a 13% increase in response rate of the maternity centres for the 2012-2013 survey (63.8%) compared with that of 2011 survey (50.8%). Private specialist hospitals also responded well; improving their response rate by 12.6% to 83.6% compared with 71% in 2011. In addition, most large chain private hospitals responded favourably, with a response rate of more than 90%.

A detailed analysis of the survey’s response rate by state and sector may be found in Table A5.2 of Appendix 5.

Factors leading to an improved response rate include:

• Strengthened networking between the NHEWS (Hospital) project team and relevant bodies/establishments of the private health sector.

• Maturity in experience of the NHEWS (Hospital) project team in obtaining response from the survey participants.

• Brief CRFs compared to those of previous NHEWS (Hospital) surveys.


xxi

ABBREVIATIONS

ALOS Average Length of StayAMO Assistant Medical OfficerAPHM Association of Private Hospitals MalaysiaBOR Bed Occupancy RateCEO Chief Executive OfficerCKAPS Cawangan Kawalan Amalan Perubatan Swasta (Private Medical Practice Control Section)CPG Clinical Practice GuidelineCRF Case Report FormCT Computer TomographyDOS Department of StatisticseCRF Electronic Case Report FormED Emergency DepartmentENT Ear, Nose & ThroatMDD Medical Development DivisionMMA Malaysian Medical Association MMC Malaysian Medical CouncilMOD Ministry of DefenceMOH Ministry of HealthMRG Malaysian Research GrantNHEWS National Healthcare Establishment and Workforce StatisticsNHMS National Health and Morbidity SurveyNHSI National Healthcare Statistics InitiativeNIH National Institute of HealthNMRR National Medical Research RegisterNSR National Specialist RegisterOECD Organisation For Economic Co-operation and DevelopmentOPD Outpatient DepartmentPMP Per Million PopulationQA Quality AssuranceTOI Turn Over IntervalWHO World Health OrganizationWP Wilayah PersekutuanWPKL Wilayah Persekutuan Kuala Lumpur SYMBOLS

na not applicable- not available

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1

EXECUTIVE SUMMARY

The NHEWS (Hospital) survey is a provider-based survey, and is essentially a census on relevant hospital services in Malaysia. In this fourth NHEWS (Hospital) report, we feature the country’s hospital statistics for two consecutive years (2012-2013). The statistics report on hospital facilities, activities, selected medical device and health workforce in the delivery of acute curative care services. Besides that, we also aim to highlight patterns / trends in the hospital services. Therefore where applicable, we have also displayed data for the NHEWS (Hospital) 2010/2011 survey in this report for the purpose of comparison.

Chapter 1: Hospital Facilities

• In 2012, there were 345 acute curative hospitals in the country; 40.3% (139/345) were public hospitals, while 59.7% (206/345) were private hospitals.

• In 2013, there were 6 additions to the acute curative hospitals count; 2 were public hospitals, and 4 were private hospitals.

• However for both years, proportion of total inpatient bed capacity was higher in the public hospitals (~74%: 37,8575/ 51,457 in 2012, and 38,641/ 52,436 in 2013); compared with the private hospitals (~26%: 13,600/ 51,457 in 2012, and 13,795/ 52,436 in 2013).

• The number of total inpatient beds increased by 1.9% (979/ 52,436) from 2012 to 2013 compared with an increase of 1.1% (543/ 51,457) from 2011 to 2012. However the bed-to-population ratio remained unchanged (1.76 per 1,000 population) throughout 2011-2013; indicating that the growth in bed capacity was just sufficient to sustain population growth.

• Out of the total inpatient beds, the proportion of functioning inpatient beds grew larger over time: 93.3% (47,521/ 50,914) in 2011, 96.2% (49,485/ 51,457) in 2012, and 96.8% (50,766/52,436) in 2013.

• Functioning inpatient beds showed a promising pattern in which the bed-to-population ratio kept increasing over the three years (1.64 per 100,000 population in 2011, 1.69 per 100,000 population in 2012, and 1.71 per 100,000 population in 2013).

• The major contributor of the growing number of hospitals and beds was from the hospital category of specialist hospitals compared with the other two categories (non-specialist hospitals and maternity centres).

Chapter 2: Hospital Medical Device (Mammogram Machine)

• There were 146 mammogram machines in 2012, and 150 in 2013.

• About two thirds of hospital mammogram machines in the country were found in the private hospitals: 63.7% (93/ 146) in 2012, and 65.3% (98/ 150) in 2013.

• Both years saw a density of about 72 mammogram machines per million population of women aged 50-69 years in the country. In comparison, developed countries observed a higher ratio e.g 144 in Singapore, 226 in Japan, and 228 in New Zealand (reference year: 2010).

• A total of 175,597 and 202,074 mammographies were performed in 2012 and 2013 respectively- an increase of 26,477 (15%) within the time frame.

• The private hospitals performed almost four times more mammographies than the public hospitals (137,832 versus 37,765 in 2012, and 161,302 versus 40,772 in 2013).

• Majority of mammographies performed in the private hospitals were screening in nature: 75% (103,451/ 137,832) in 2012, and 77% (123,624/ 161,302) in 2013.

• Meanwhile, screening mammographies comprised of a minority of the total number of mammographies performed in the public hospitals: 20% (7,463/ 37,765) in 2012, and 22% (9,109/ 40,772) in 2013.


2

Chapter 3: Hospital Activities

Inpatient Activities

• The year 2012 and 2013 each observed approximately 3.4-3.5 million hospital admissions per year; demonstrating an increase of 2.3% (83,029/ 3,542,997) within the two-year period.

• Admission-to-population ratio also grew (1.1%) from 2012 to 2013.

• For both years, the public hospitals saw a higher load of admissions (~71%: 2,454,698/ 3,459,968 in 2012, and 2,507,151/ 3,542,997 in 2013); compared with the private hospitals (~29%: 1,005,270/ 3,459,968 in 2012, and 1,035,846/ 3,542,997 in 2013).

• On a daily basis, the public hospitals received 2.5 times more admissions than the private hospitals.

• Over the years, mean average length of stay (ALOS) for the country has kept at 3.5 days. Mean ALOS for the public hospitals was a day longer than the private hospitals (3.8 days versus 2.8 days).

• Mean bed occupancy rate (BOR) was highest in the specialist hospitals among the three hospital categories (~71% in the specialist hospitals, ~46% in the non-specialist hospitals, and ~34% in the maternity centres).

• Interestingly, mean BOR of public specialist hospitals remained almost unchanged over time while that of public non-specialist hospitals demonstrated a decreasing pattern; highlighting underutilisation of public non-specialist hospitals.

• Consistent with BOR, mean turnover interval (TOI) was shortest for the specialist hospitals (~1.5 days) compared with the non-specialist hospitals (~3 days) and the maternity centres (3.5-4.5 days).

Outpatient Activities

• Hospital outpatient activities for 2012 and 2013 each amounted to 32-33 million visits per year; outnumbering inpatient activities (admissions) by nine times.

• In both years, the highest proportion of outpatient visits was observed in the specialist clinics (~49%: 15,836,155/ 32,268,454 in 2012, and 16,090,011/ 32,933,967 in 2013), followed by emergency departments (~28%: 9,147,144/ 32,268,454 in 2012, and 9,362,209/ 32,933,967 in 2013), and general outpatient departments (~23%: 7,285,155/ 32,268,454 in 2012, and 7,481,747/ 32,933,967 in 2013).

• Majority of the emergency department visits occurred in the public hospitals (~82%: 7,585,804/ 9,147,144 in 2012, and 7,632,331/ 9,362,209 in 2013).

• Similarly, most of the general outpatient department visits happened in the public hospitals (~73%: 5,359,471/ 7285,155 in 2012, and 5,413,101/ 7,481,747 in 2013)

Chapter 4: Hospital Health Workforce

Doctors (Specialists and Medical Officers)

• In 2013, there were 19,927 doctors working in acute curative hospitals (67.1 doctors per 100,000 population).

• Most doctors were working in the public hospitals (79.9%: 15,913/ 19,927); while the rest were working in the private hospitals (20.1%: 4,014/ 19,927).

• Over the past four years (2010-2013), the number of doctors has increased by 25% (5,022/ 19,927); the majority of which were public hospital doctors i.e. 87.8% (4,407/ 5,022), while the remaining 12.2% (615/ 5,022) were private hospital doctors.


3

• Majority of doctors were working in the West Coast region of Peninsular Malaysia. The highest doctor-to-population ratio was seen in Klang Valley* (99.6 per 100,000 population). Meanwhile, the lowest ratios were recorded by Sabah & WP Labuan (9.1 per 100,000 population), Terengganu (12.9 per 100,000 population), and Sarawak (14.8 per 100,000 population).

• The doctor workforce in 2013 consisted of 39% specialists (7,788/ 19.927), and 61% (12,139/ 19,927) medical officers.

• Over the four-year period, the number of medical officers increased at a higher rate (32.2%: 3,910/ 12,139) than that of the specialists (14.3%: 1,112/ 7,788).

* Klang Valley refers to Selangor, WP Putrajaya, and WP Kuala Lumpur

Staff Nurses

• There were 68,121 staff nurses (229 per 100,000 population) working in acute curative hospitals in 2013.

• Staff nurses in the public hospitals made up the majority: 74.2% (50,541/ 68,121), while the remaining 25.8% (17, 580/ 68,121) consisted of staff nurses in the private hospitals.

• There was also a higher proportion of staff nurses with post-basic training qualification within the public hospital staff nurse workforce (35.4%: 17,885/ 50,541) versus the private hospital staff nurse workforce (19.0%: 3,342/17,580).

• Pulau Pinang, Melaka, and the states within Klang Valley had around 300 staff nurses per 100,000 population, while Sarawak, Terengganu, Sabah, WP Labuan, and Johor had less than 200 staff nurses per 100,000 population.

Assistant Medical Officers (AMO)

• In 2013, 6,568 AMOs (22 per 100,000 population) were working in acute curative hospitals.

• A large majority of AMOs were working in the public hospitals (98.8%: 6,488/ 6,568), while the remaining 1.2% were working in the private hospitals (80/ 6,568).

• Out of all AMOs in the public hospitals, 41.3% (2,680/ 6,488) held post-basic training; while only 17.5% (14/ 80) of the total number of AMOs in the private hospitals had similar training.

• Most states recorded AMO-to-population ratio of around 22-27 per 100,000 population i.e. approximating the national average. However Perlis recorded the highest with 44 AMOs per 100,000 population; while Klang Valley, and Johor each recorded about 17 AMOs per 100,000 population.

Radiographers

• In 2013, there were 3,258 radiographers working in acute curative hospitals; 2,419 (74.2%) in the public hospitals, and 839 (25.8%) in the private hospitals.

• The national average of radiographer-to-population ratio was 11 per 100,000 population. The highest ratios were recorded by Pulau Pinang, Perlis, and Klang Valley (12-15 per 100,000 population). Meanwhile the lowest ratios were observed in Kedah, Terengganu, and Sabah & WP Labuan (7-8 per 100,000 population).

• Radiographers with post-basic qualification can only be reported for the public hospitals. There were more radiographers with post-basic training in CT scan (5.3%: 128/ 2,419) compared with radiographers with post-basic training in mammogram (1.3%: 31/ 2,419).

Chapter 1 :

Hospital Facilities

6


CHAPTER 1 | HOSPITAL FACILITIESThere were 345 acute curative hospitals (51,457 beds) in Malaysia in 2012; of which 139 were public hospitals (37,857 beds), and 206 were private hospitals (13,600 beds). In 2013, the total number of acute curative hospitals in the country increased to 351 hospitals (52,436 beds). Out of these, 141 were public hospitals (38,641 beds), and 210 were private hospitals (13,795 beds). [Table 1.1 and Table 1.2]

The public sector saw an increased number of acute curative hospitals from 2011 to 2013 compared with that of the private sector i.e. six public hospitals (898 beds) versus four private hospitals (88 beds) [Table 1.1]. Such finding in the public sector is contributed by revision of the hospital population frame whereby the 2012 and 2013 survey included the MOD hospitals whereas for 2011 these hospitals were excluded from the population frame. There were five MOD hospitals (646 beds), and all but one MOD hospital (40 beds) was established before the year 2012. The number of acute curative MOH hospitals grew by one hospital in three years (2011-2013), and the number of University hospitals remained the same during the three-year duration.

Specialist hospitals observed an increasing pattern in number, over three years (2011-2013), while maternity centres experienced a decreasing pattern, and the number of non-specialist hospitals were almost unchanged [Table 1.1.1]. Growth in number of specialist hospitals was consistent with their increase in number of beds: 62 specialist hospitals (43,556 beds) in 2011, 65 specialist hospitals (44,091 beds) in 2012, and 67 specialist hospitals (45,024 beds) in 2013. Specialist hospitals bed capacity increased by 1.2% from 2011 to 2012, and by 2.1% from 2012 to 2013 [Table 1.1.1 and Table 1.2.1]. The number of beds in non-specialist hospitals and maternity centres did not show substantial differences over the three-year period [Table 1.2.2 and Table 1.2.3]. Nonetheless, bed-to-population ratio for all three categories of hospital remained similar in 2011, 2012 and 2013 [Table 1.2.1, Table 1.2.2, and Table 1.2.3].

Net change of the country’s total acute curative bed capacity amounted to an increase of 1.9% from the year 2012 to 2013 compared with an increase of 1.1% from 2011 to 2012. However this total inpatient bed capacity growth has only managed to keep pace with population growth, as demonstrated by similar bed-to-population ratio in all three years. We take note that the actual acute curative bed count of 2011 would be higher if the MOD hospitals were included. However we gathered that the difference would not have affected the bed-to-population ratio substantially, based on our observation of the 2012 and 2013 data in which only 1.2% of the total acute curative hospital beds were situated in the MOD hospitals.

Looking at the public-private distribution, we saw a net increase of total inpatient beds in the public sector of 2.0% in the period of 2012-2013 versus a net increase of only 0.5% from 2011 to 2012. Nonetheless we reiterate that caution has to be exercised in interpreting this observation given the different public hospital population frame for 2012-2013 versus 2011. The private sector showed a reverse pattern to that of the public sector. Total inpatient bed capacity rose by only 1.4% from 2012 to 2013; showing a decreasing pattern compared to the period of 2011-2012 whereby the private hospital beds increased by 2.5%. [Table 1.2]

Meanwhile, the number of functioning inpatient beds increased by 2.5% from 2012 to 2013; with higher percentage of increase in the public hospitals (3.0%) compared with the private hospitals (1.3%). Furthermore the proportion of functioning inpatient beds out of total inpatient beds also observed an increasing pattern during the three-year period: 93.3% in 2011, 96.2% in 2012, and 96.8% in 2013. Encouragingly, a growing pattern of bed-to-population ratio of functioning inpatient beds was observed during the two-year period, unlike the plateauing bed-to-population ratio of total inpatient beds. [Table 1.2]

7

CHAP

TER

1: H

OSPI

TAL

FACI

LITI

ES


Limitation:

1. Inclusion of MOD hospitals into this survey (while being excluded in the previous NHEWS (Hospital) surveys) necessitates caution to be exercised when interpreting trend over the years.

2. Data presented here is at the national and state level. Therefore it does not illustrate intrastate

facility distribution.

8


Tabl

e 1.

1: N

umbe

r &

Den

sity

of A

cute

Cur

ativ

e H

ospi

tals

in M

alay

sia

by S

tate

and

Sec

tor,

2011

-201

3.

Stat

eSe

ctor

*Ye

ar 2

011

Year

201

2Ye

ar 2

013

Num

ber

Per

100,

000

popu

lati

onN

umbe

rPe

r 10

0,00

0 po

pula

tion

Num

ber

Per

100,

000

popu

lati

onM

alay

sia

Publ

ic13

5 -

13

9 -

14

1 -

M

alay

sia

Priv

ate

206

-

206

-

210

-

Mal

aysi

aTo

tal

341

1.1

8 34

5 1

.18

351

1.1

8 Pe

rlis

Publ

ic1

-

1 -

1

-

Perl

isPr

ivat

e0

-

0 -

0

-

Perl

isTo

tal

1 0

.42

1 0

.42

1 0

.41

Keda

hPu

blic

9 -

9

-

9 -

Ke

dah

Priv

ate

9 -

8

-

8 -

Ke

dah

Tota

l18

0.9

1 17

0.8

5 17

0.8

4 Ke

dah

& P

erlis

Publ

ic10

-

10 -

10

-

Keda

h &

Per

lisPr

ivat

e0

-

0 -

0

-

Keda

h &

Per

lisTo

tal

10 0

.45

10 0

.45

10 0

.44

Pula

u Pi

nang

Publ

ic6

-

6 -

6

-

Pula

u Pi

nang

Priv

ate

22 -

21

-

21 -

Pu

lau

Pina

ngTo

tal

28 1

.73

27 1

.68

27 1

.66

Pera

kPu

blic

14 -

15

-

15 -

Pe

rak

Priv

ate

16 -

16

-

16 -

Pe

rak

Tota

l30

1.2

5 31

1.2

8 31

1.2

7 Se

lang

orPu

blic

11 -

11

-

11 -

Se

lang

orPr

ivat

e49

-

53 -

53

-

Sela

ngor

Tota

l60

1.0

8 64

1.1

3 64

1.1

2 W

P Pu

traj

aya

Publ

ic1

-

1 -

2

-

WP

Putr

ajay

aPr

ivat

e0

-

0 -

0

-

WP

Putr

ajay

aTo

tal

1 1

.31

1 1

.26

2 2

.42

WP

Kual

a Lu

mpu

rPu

blic

4 -

5

-

5 -

W

P Ku

ala

Lum

pur

Priv

ate

37 -

37

-

39 -

W

P Ku

ala

Lum

pur

Tota

l41

2.4

2 42

2.5

1 44

2.6

0 Se

lang

or &

WP

Putr

ajay

a &

WP

Kau

ala

Lum

pur

Publ

ic16

-

17 -

18

-

Sela

ngor

& W

P Pu

traj

aya

& W

P K

aual

a Lu

mpu

rPr

ivat

e86

-

90 -

92

-

Sela

ngor

& W

P Pu

traj

aya

& W

P Ku

ala

Lum

pur

Tota

l10

2 1

.39

107

1.4

5 11

0 1

.47

Abb

revi

atio

n: -

not

ava

ilabl

eSe

lang

or &

WP

Putr

ajay

a &

WPK

L ar

e al

so c

olle

ctiv

ely

refe

rred

to a

s K

lang

Val

ley.

*P

ublic

sec

tor

in 2

011

refe

rs to

MO

H a

nd U

nive

rsity

hos

pita

ls, w

hile

pub

lic s

ecto

r in

201

2 &

201

3 re

fers

to M

OH

, Uni

vers

ity, a

nd M

OD

hos

pita

ls.

Fo

r po

pula

tion

data

, ple

ase

refe

r App

endi

x 3:

Tab

le A

3.1

9

CHAP

TER

1: H

OSPI

TAL

FACI

LITI

ES


Tabl

e 1.

1 [c

onti

nued

]: N

umbe

r &

Den

sity

of A

cute

Cur

ativ

e H

ospi

tals

in M

alay

sia

by S

tate

and

Sec

tor,

2011

-201

3.

Abb

revi

atio

n: -

not

ava

ilabl

eSe

lang

or &

WP

Putr

ajay

a &

WPK

L ar

e al

so c

olle

ctiv

ely

refe

rred

to a

s K

lang

Val

ley.

*P

ublic

sec

tor

in 2

011

refe

rs to

MO

H a

nd U

nive

rsity

hos

pita

ls, w

hile

pub

lic s

ecto

r in

201

2 &

201

3 re

fers

to M

OH

, Uni

vers

ity, a

nd M

OD

hos

pita

ls.

Fo

r po

pula

tion

data

, ple

ase

refe

r App

endi

x 3:

Tab

le A

3.1

Stat

eSe

ctor

*Ye

ar 2

011

Year

201

2Ye

ar 2

013

Num

ber

Per

100,

000

popu

lati

onN

umbe

rPe

r 10

0,00

0 po

pula

tion

Num

ber

Per

100,

000

popu

lati

onN

eger

i Sem

bila

nPu

blic

6 -

7

-

7 -

N

eger

i Sem

bila

nPr

ivat

e9

-

9 -

9

-

Neg

eri S

embi

lan

Tota

l15

1.4

4 16

1.5

1 16

1.5

0 M

elak

aPu

blic

3 -

4

-

4 -

M

elak

aPr

ivat

e4

-

4 -

4

-

Mel

aka

Tota

l7

0.8

4 8

0.9

5 8

0.9

4 Jo

hor

Publ

ic11

-

11 -

11

-

Joho

rPr

ivat

e30

-

28 -

29

-

Joho

rTo

tal

41 1

.21

39 1

.13

40 1

.15

Paha

ngPu

blic

10 -

10

-

10 -

Pa

hang

Priv

ate

9 -

9

-

9 -

Pa

hang

Tota

l19

1.2

5 19

1.2

3 19

1.2

1 Te

reng

ganu

Publ

ic6

-

6 -

6

-

Tere

ngga

nuPr

ivat

e1

-

1 -

1

-

Tere

ngga

nuTo

tal

7 0

.65

7 0

.64

7 0

.63

Kela

ntan

Publ

ic10

-

10 -

10

-

Kela

ntan

Priv

ate

3 -

3

-

3 -

Ke

lant

anTo

tal

13 0

.82

13 0

.79

13 0

.78

Sara

wak

Publ

ic20

-

20 -

20

-

Sara

wak

Priv

ate

12 -

12

-

13 -

Sa

raw

akTo

tal

32 1

.27

32 1

.26

33 1

.28

Saba

hPu

blic

22 -

22

-

23 -

Sa

bah

Priv

ate

5 -

5

-

5 -

Sa

bah

Tota

l27

0.8

1 27

0.8

0 28

0.8

2 W

P La

buan

Publ

ic1

-

1 -

1

-

WP

Labu

anPr

ivat

e0

-

0 -

0

-

WP

Labu

anTo

tal

1 1

.11

1 1

.09

1 1

.07

Saba

h &

WP

Labu

anPu

blic

23 -

23

-

24 -

Sa

bah

& W

P La

buan

Priv

ate

5 -

5

-

5 -

Sa

bah

& W

P La

buan

Tota

l28

0.8

2 28

0.8

1 29

0.8

2

10


Tabl

e 1.

1.1:

Num

ber

& D

ensi

ty o

f Cat

egor

ies

of A

cute

Cur

ativ

e H

ospi

tals

in M

alay

sia

by S

tate

and

Sec

tor,

2011

-201

3

Stat

eSe

ctor

*

Spec

ialis

t H

ospi

tal

Non

Spe

cial

ist

Hos

pita

lM

ater

nity

Cen

tre

2011

2012

2013

2011

2012

2013

2011

2012

2013

Number

Per 100,000 population

Number


Number


Number


Number


Number


Number


Number


Number


Mal

aysi

aPu

blic

62-

65-

67-

73-

74-

74-

0-

0-

0-

Mal

aysi

aPr

ivat

e13

5-

136

-14

1-

1-

1-

1-

70-

69-

68-

Mal

aysi

aTo

tal

197

0.6

8 20

1 0

.69

208

0.7

0 74

0.2

6 75

0.2

6 75

0.2

5 70

0.2

4 69

0.2

4 68

0.2

3 Pe

rlis

Publ

ic1

-1

-1

-0

-0

-0

-na

-na

-na

-Pe

rlis

Priv

ate

0-

0-

0-

0-

0-

0-

0-

0-

0-

Perl

isTo

tal

1 0

.42

1 0

.42

1 0

.41

00.

000

0.00

00.

000

0.00

00.

00na

0.00

Keda

hPu

blic

4-

4-

4-

5-

5-

5-

na-

na-

na-

Keda

hPr

ivat

e5

-6

-6

-0

-0

-0

-4

-2

-2

-Ke

dah

Tota

l9

0.4

6 10

0.5

0 10

0.4

9 5

0.2

5 5

0.2

5 5

0.2

5 4

0.2

0 2

0.1

0 2

0.1

0 Ke

dah

& P

erlis

Publ

ic5

-5

-5

-5

-5

-5

-0

-0

-0

-Ke

dah

& P

erlis

Priv

ate

5-

6-

6-

0-

0-

0-

4-

2-

2-

Keda

h &

Per

lisTo

tal

10 0

.45

11 0

.49

11 0

.49

5 0

.23

5 0

.22

5 0

.22

4 0

.18

2 0

.09

2 0

.09

Pula

u Pi

nang

Publ

ic4

-4

-4

-2

-2

-2

-na

-na

-na

-Pu

lau

Pina

ngPr

ivat

e15

-14

-15

-0

-0

-0

-7

-7

-6

-Pu

lau

Pina

ngTo

tal

19 1

.19

18 1

.12

19 1

.17

2 0

.13

2 0

.12

2 0

.12

7 0

.44

7 0

.43

6 0

.37

Pera

kPu

blic

5-

6-

6-

9-

9-

9-

na-

na-

na-

Pera

kPr

ivat

e12

-12

-12

-0

-0

-0

-4

-4

-4

-Pe

rak

Tota

l17

0.7

1 18

0.7

4 18

0.7

4 9

0.3

8 9

0.3

7 9

0.3

7 4

0.1

7 4

0.1

7 4

0.1

6 Se

lang

orPu

blic

7-

7-

7-

4-

4-

4-

na-

na-

na-

Sela

ngor

Priv

ate

34-

36-

36-

0-

0-

0-

15-

17-

17-

Sela

ngor

Tota

l41

0.7

4 43

0.7

6 43

0.7

5 4

0.0

7 4

0.0

7 4

0.0

7 15

0.2

7 17

0.3

0 17

0.3

0 W

P Pu

traj

aya

Publ

ic1

-1

-2

-0

-0

-0

-na

-na

-na

-W

P Pu

traj

aya

Priv

ate

0-

0-

0-

0-

0-

0-

0-

0-

0-

WP

Putr

ajay

aTo

tal

1 1

.31

1 1

.26

2 2

.42

00.

000

0.00

00.

000

0.00

00.

000

0.00

WPK

LPu

blic

4-

5-

5-

0-

0-

0-

na-

na-

na-

WPK

LPr

ivat

e24

-24

-26

-0

-0

-0

-13

-13

-13

-W

PKL

Tota

l28

1.6

5 29

1.7

5 31

1.8

5 0

0.00

00.

000

0.00

13 0

.77

13 0

.76

13 0

.75

Sela

ngor

& W

P Pu

traj

aya

& W

PKL

Publ

ic12

-13

-14

-4

-4

-4

-na

-0

-na

-Se

lang

or &

WP

Putr

ajay

a &

WPK

LPr

ivat

e58

-60

-62

-0

-0

-0

-28

-30

-30

-Se

lang

or &

WP

Putr

ajay

a &

WPK

LTo

tal

70 4

.13

73 4

.32

76 4

.45

4 0

.24

4 0

.23

4 0

.23

28 1

.65

30 1

.75

30 1

.73

Abb

revi

atio

n: -

not

ava

ilabl

e; n

a -

not a

pplic

able

Sela

ngor

& W

P Pu

traj

aya

& W

PKL

are

also

col

lect

ivel

y re

ferr

ed to

as

Kla

ng V

alle

y.

*

Publ

ic s

ecto

r in

201

1 re

fers

to M

OH

and

Uni

vers

ity h

ospi

tals

, whi

le p

ublic

sec

tor

in 2

012

& 2

013

refe

rs to

MO

H, U

nive

rsity

, and

MO

D h

ospi

tals

.

Fo

r po

pula

tion

data

, ple

ase

refe

r App

endi

x 3:

Tab

le A

3.1

11

CHAP

TER

1: H

OSPI

TAL

FACI

LITI

ES


Tabl

e 1.

1.1

[con

tinu

ed]:

Num

ber

& D

ensi

ty o

f Cat

egor

ies

of A

cute

Cur

ativ

e H

ospi

tals

in M

alay

sia

by S

tate

and

Sec

tor,

2011

-201

3

Stat

eSe

ctor

*

Spec

ialis

t H

ospi

tal

Non

Spe

cial

ist

Hos

pita

lM

ater

nity

Cen

tre

2011

2012

2013

2011

2012

2013

2011

2012

2013

Number


Number


Number


Number


Number


Number


Number


Number


Number


Neg

eri S

embi

lan

Publ

ic3

-3

-3

-3

-4

-4

-na

-na

-na

-N

eger

i Sem

bila

nPr

ivat

e7

-7

-7

-0

-0

-0

-2

-2

-2

-N

eger

i Sem

bila

nTo

tal

10 0

.96

10 0

.95

10 0

.93

3 0

.29

4 0

.38

4 0

.37

2 0

.19

2 0

.19

2 0

.19

Mel

aka

Publ

ic1

-2

-2

-2

-2

-2

-na

-na

-na

-M

elak

aPr

ivat

e4

-4

-4

-0

-0

-0

-0

-0

-0

-M

elak

aTo

tal

5 0

.60

6 0

.71

6 0

.70

2 0

.24

2 0

.24

2 0

.23

00.

000

0.00

00.

00Jo

hor

Publ

ic6

-6

-6

-5

-5

-5

-na

-na

-na

-Jo

hor

Priv

ate

13-

12-

13-

1-

1-

1-

16-

15-

15-

Joho

rTo

tal

19 0

.56

18 0

.52

19 0

.55

6 0

.18

6 0

.17

6 0

.17

16 0

.47

15 0

.44

15 0

.43

Paha

ngPu

blic

4-

4-

4-

6-

6-

6-

na-

na-

na-

Paha

ngPr

ivat

e5

-5

-5

-0

-0

-0

-4

-4

-4

-Pa

hang

Tota

l9

0.5

9 9

0.5

8 9

0.5

7 6

0.3

9 6

0.3

9 6

0.3

8 4

0.2

6 4

0.2

6 4

0.2

5 Te

reng

ganu

Publ

ic2

-2

-2

-4

-4

-4

-na

-na

-na

-Te

reng

ganu

Priv

ate

1-

1-

1-

0-

0-

0-

0-

0-

0-

Tere

ngga

nuTo

tal

3 0

.28

3 0

.27

3 0

.27

4 0

.37

4 0

.37

4 0

.36

00.

000

0.00

00.

00Ke

lant

anPu

blic

4-

4-

4-

6-

6-

6-

na-

na-

na-

Kela

ntan

Priv

ate

3-

3-

3-

0-

0-

0-

0-

0-

0-

Kela

ntan

Tota

l7

0.4

3 7

0.4

3 7

0.4

2 6

0.3

7 6

0.3

7 6

0.3

6 0

0.00

00.

000

0.00

Sara

wak

Publ

ic8

-8

-8

-12

-12

-12

-na

-na

-na

-Sa

raw

akPr

ivat

e9

-9

-10

-0

-0

-0

-3

-3

-3

-Sa

raw

akTo

tal

17 0

.68

17 0

.67

18 0

.70

12 0

.48

12 0

.47

12 0

.47

3 0

.12

3 0

.12

3 0

.12

Saba

hPu

blic

7-

7-

8-

15-

15-

15-

na-

na-

na-

Saba

hPr

ivat

e3

-3

-3

-0

-0

-0

-2

-2

-2

-Sa

bah

Tota

l10

0.3

0 10

0.3

0 11

0.3

2 15

0.4

5 15

0.4

4 15

0.4

4 2

0.0

6 2

0.0

6 2

0.0

6 W

P La

buan

Publ

ic1

-1

-1

-0

-0

-0

-na

-na

-na

-W

P La

buan

Priv

ate

0-

0-

0-

0-

0-

0-

0-

0-

0-

WP

Labu

anTo

tal

1 1

.11

1 1

.09

1 1

.07

00.

000

0.00

00.

000

0.00

00.

000

0.00

Saba

h &

WP

Labu

anPu

blic

8-

8-

9-

15-

15-

15-

0-

0-

na-

Saba

h &

WP

Labu

anPr

ivat

e3

-3

-3

-0

-0

-0

-2

-2

-2

-Sa

bah

& W

P La

buan

Tota

l11

1.3

2 11

1.3

1 12

1.4

1 15

1.7

6 15

1.7

8 15

1.7

6 2

0.2

4 2

0.2

4 2

0.2

3

Abb

revi

atio

n: -

not

ava

ilabl

e; n

a -

not a

pplic

able

Sela

ngor

& W

P Pu

traj

aya

& W

PKL

are

also

col

lect

ivel

y re

ferr

ed to

as

Kla

ng V

alle

y.

*

Publ

ic s

ecto

r in

201

1 re

fers

to M

OH

and

Uni

vers

ity h

ospi

tals

, whi

le p

ublic

sec

tor

in 2

012

& 2

013

refe

rs to

MO

H, U

nive

rsity

, and

MO

D h

ospi

tals

.

For

popu

latio

n da

ta, p

leas

e re

fer A

ppen

dix

3: T

able

A3.

1

12


Tabl

e 1.

2 : N

umbe

r &

Den

sity

of T

otal

Inp

atie

nt B

eds

& F

unct

ioni

ng I

npat

ient

Bed

s in

Acu

te C

urat

ive

Hos

pita

ls in

Mal

aysi

a by

Sta

te &

Sec

tor,

2011

-201

3

Stat

eSe

ctor

*

Tota

l Inp

atie

nt B

eds

Func

tion

ing

Inpa

tien

t B

eds

2011

2012

2013

2011

2012

2013

Number


Number


Number


Number


Number


Number


Mal

aysi

aPu

blic

37,6

59

-37

,857

-

38,6

41

-35

,581

-

36,3

72

-37

,487

-

Mal

aysi

aPr

ivat

e13

,255

-

13,6

00

- 13

,795

-

11,9

40

- 13

,113

-

13,2

79

- M

alay

sia

Tota

l50

,914

1

.76

51,4

57

1.7

5 52

,436

1

.76

47,5

21

1.6

4 49

,485

1

.69

50,7

66

1.7

1 Pe

rlis

Publ

ic 4

04

- 4

04

- 4

04

- 3

90

- 4

04

- 4

04

- Pe

rlis

Priv

ate

na

- n

a -

na

- n

a -

na

- n

a -

Perl

isTo

tal

404

1

.70

404

1

.69

404

1

.67

390

1

.64

404

1

.69

404

1

.67

Keda

hPu

blic

2,3

90

- 2

,404

-

2,4

30

- 2

,294

-

2,3

43

- 2

,369

-

Keda

hPr

ivat

e 5

42

- 5

29

- 5

33

- 5

37

- 5

29

- 5

33

- Ke

dah

Tota

l 2

,932

1

.49

2,9

33

1.4

7 2

,963

1

.47

2,8

31

1.4

3 2

,872

1

.44

2,9

02

1.4

4 Ke

dah

& P

erlis

Publ

ic 2

,794

-

2,8

08

- 2

,834

-

2,6

84

- 2

,747

-

2,7

73

- Ke

dah

& P

erlis

Priv

ate

542

-

529

-

533

-

537

-

529

-

533

-

Keda

h &

Per

lisTo

tal

3,3

36

1.5

1 3

,337

1

.49

3,3

67

1.4

9 3

,221

1

.46

3,2

76

1.4

6 3

,306

1

.46

Pula

u Pi

nang

Publ

ic 1

,947

-

1,9

47

- 1

,947

-

1,9

47

- 1

,947

-

1,9

47

- Pu

lau

Pina

ngPr

ivat

e 1

,920

-

1,9

96

- 2

,037

-

1,6

93

- 1

,986

-

2,0

14

- Pu

lau

Pina

ngTo

tal

3,8

67

2.4

3 3

,943

2

.45

3,9

84

2.4

5 3

,640

2

.28

3,9

33

2.4

4 3

,961

2

.43

Pera

kPu

blic

3,5

80

- 3

,724

-

3,7

24

- 3

,324

-

3,5

04

- 3

,568

-

Pera

kPr

ivat

e 8

60

- 1

,023

-

1,0

23

- 7

94

- 1

,015

-

1,0

15

- Pe

rak

Tota

l 4

,440

1

.85

4,7

47

1.9

6 4

,747

1

.95

4,1

18

1.7

2 4

,519

1

.87

4,5

83

1.8

8 Se

lang

orPu

blic

4,7

65

- 4

,684

w

- 4

,684

-

4,2

79

- 4

,325

-

4,4

03

- Se

lang

orPr

ivat

e 3

,267

-

3,4

01

- 3

,417

-

2,9

92

- 3

,278

-

3,3

22

- Se

lang

orTo

tal

8,0

32

1.4

4 8

,085

1

.43

8,1

01

1.4

2 7

,271

1

.30

7,6

03

1.3

5 7

,725

1

.35

WP

Putr

ajay

aPu

blic

278

-

341

-

593

-

278

-

310

-

548

-

WP

Putr

ajay

aPr

ivat

e n

a -

na

- n

a -

na

- n

a -

na

- W

P Pu

traj

aya

Tota

l 2

78

3.6

4 3

41

4.2

9 5

93

7.1

9 2

78

3.6

4 3

10

3.9

0 5

48

6.6

4 W

P Ku

ala

Lum

pur

Publ

ic 4

,651

-

4,6

50

- 4

,681

-

4,0

75

- 4

,267

-

4,3

99

- W

P Ku

ala

Lum

pur

Priv

ate

3,0

15

- 3

,188

-

3,2

71

- 2

,584

-

2,9

37

- 2

,982

-

WP

Kual

a Lu

mpu

rTo

tal

7,6

66

4.5

2 7

,838

4

.57

7,9

52

4.5

9 6

,659

3

.93

7,2

04

4.2

0 7

,381

4

.26

Sela

ngor

& W

P Pu

traj

aya

& W

P Ku

ala

Lum

pur

Publ

ic 9

,694

-

9,6

75

- 9

,958

-

8,6

32

- 8

,902

-

9,3

50

- Se

lang

or &

WP

Putr

ajay

a &

WP

Kual

a Lu

mpu

rPr

ivat

e 6

,282

-

6,5

89

- 6

,689

-

5,5

76

- 6

,215

-

6,3

04

- Se

lang

or &

WP

Putr

ajay

a &

WP

Kual

a Lu

mpu

rTo

tal

15,

976

2.1

7 1

6,26

4 2

.18

16,

647

2.2

1 1

4,20

8 1

.93

15,

117

2.0

3 1

5,65

4 2

.08

Abb

revi

atio

n: -

not

ava

ilabl

e; n

a -

not a

pplic

able

Sela

ngor

& W

P Pu

traj

aya

& W

PKL

are

also

col

lect

ivel

y re

ferr

ed to

as

Kla

ng V

alle

y.

*

Publ

ic s

ecto

r in

201

1 re

fers

to M

OH

and

Uni

vers

ity h

ospi

tals

, whi

le p

ublic

sec

tor

in 2

012

& 2

013

refe

rs to

MO

H, U

nive

rsity

, and

MO

D h

ospi

tals

.

Fo

r po

pula

tion

data

, ple

ase

refe

r App

endi

x 3:

Tab

le A

3.1

13

CHAP

TER

1: H

OSPI

TAL

FACI

LITI

ES


Tabl

e 1.

2 [c

onti

nued

]: N

umbe

r &

Den

sity

of T

otal

Inp

atie

nt B

eds

& F

unct

ioni

ng I

npat

ient

Bed

s in

Acu

te C

urat

ive

Hos

pita

ls in

Mal

aysi

a by

Sta

te &

Sec

tor,

2011

-201

3

Stat

eSe

ctor

*

Tota

l Inp

atie

nt B

eds

Func

tion

ing

Inpa

tien

t B

eds

2011

2012

2013

2011

2012

2013

Number


Number


Number


Number


Number


Number


Neg

eri S

embi

lan

Publ

ic 1

,527

-

1,5

63

- 1

,563

-

1,5

13

- 1

,549

-

1,5

49

- N

eger

i Sem

bila

nPr

ivat

e 5

17

- 5

47

- 5

59

- 5

17

- 5

47

- 5

59

- N

eger

i Sem

bila

nTo

tal

2,0

44

1.9

6 2

,110

2

.00

2,1

22

1.9

8 2

,030

1

.95

2,0

96

1.9

8 2

,108

1

.97

Mel

aka

Publ

ic 1

,006

-

1,2

90

- 1

,339

-

1,0

06

- 1

,290

-

1,3

39

- M

elak

aPr

ivat

e 8

13

- 6

97

- 7

25

- 7

16

- 6

76

- 7

04

- M

elak

aTo

tal

1,8

19

2.1

8 1

,987

2

.36

2,0

64

2.4

2 1

,722

2

.07

1,9

66

2.3

3 2

,043

2

.40

Joho

rPu

blic

3,6

34

- 3

,634

-

3,8

36

- 3

,578

-

3,5

68

- 3

,770

-

Joho

rPr

ivat

e 1

,062

-

1,2

26

- 1

,230

-

968

-

1,1

76

- 1

,170

-

Joho

rTo

tal

4,6

96

1.3

8 4

,860

1

.41

5,0

66

1.4

6 4

,546

1

.34

4,7

44

1.3

8 4

,940

1

.42

Paha

ngPu

blic

2,0

30

- 1

,996

-

2,0

46

- 1

,962

-

1,9

62

- 2

,046

-

Paha

ngPr

ivat

e 3

40

- 2

82

- 2

82

- 3

38

- 2

77

- 2

77

- Pa

hang

Tota

l 2

,370

1

.55

2,2

78

1.4

7 2

,328

1

.48

2,3

00

1.5

1 2

,239

1

.45

2,3

23

1.4

8 Te

reng

ganu

Publ

ic 1

,342

-

1,3

42

- 1

,342

-

1,3

42

- 1

,342

-

1,3

42

- Te

reng

ganu

Priv

ate

33

- 3

3 -

33

- 3

3 -

33

- 3

3 -

Tere

ngga

nuTo

tal

1,3

75

1.2

8 1

,375

1

.26

1,3

75

1.2

4 1

,375

1

.28

1,3

75

1.2

6 1

,375

1

.24

Kela

ntan

Publ

ic 2

,399

-

2,4

75

- 2

,485

-

2,3

99

- 2

,475

-

2,4

85

- Ke

lant

anPr

ivat

e 1

62

- 1

76

- 1

76

- 1

62

- 1

64

- 1

69

- Ke

lant

anTo

tal

2,5

61

1.5

9 2

,651

1

.62

2,6

61

1.6

0 2

,561

1

.59

2,6

39

1.6

1 2

,654

1

.59

Sara

wak

Publ

ic 3

,453

-

3,4

33

- 3

,449

-

3,3

10

- 3

,338

-

3,4

13

- Sa

raw

akPr

ivat

e 4

75

- 3

73

- 3

75

- 4

49

- 3

73

- 3

75

- Sa

raw

akTo

tal

3,9

28

1.5

6 3

,806

1

.50

3,8

24

1.4

8 3

,759

1

.49

3,7

11

1.4

6 3

,788

1

.47

Saba

hPu

blic

4,1

44

- 3

,861

-

4,0

09

- 3

,775

-

3,6

39

- 3

,796

-

Saba

hPr

ivat

e 2

49

- 1

30

- 1

34

- 1

57

- 1

23

- 1

27

- Sa

bah

Tota

l 4

,393

1

.32

3,9

91

1.1

8 4

,143

1

.21

3,9

32

1.1

9 3

,762

1

.12

3,9

23

1.1

4 W

P La

buan

Publ

ic 1

09

- 1

09

- 1

09

- 1

09

- 1

09

- 1

09

- W

P La

buan

Priv

ate

na

- n

a -

na

- n

a -

na

- n

a -

WP

Labu

anTo

tal

109

1

.21

109

1

.19

109

1

.17

109

1

.21

109

1

.19

109

1

.17

Saba

h &

WP

Labu

anPu

blic

4,2

53

- 3

,970

-

4,1

18

- 3

,884

-

3,7

48

- 3

,905

-

Saba

h &

WP

Labu

anPr

ivat

e 2

49

- 1

30

- 1

34

- 1

57

- 1

23

- 1

27

- Sa

bah

& W

P La

buan

Tota

l 4

,502

1

.32

4,1

00

1.1

8 4

,252

1

.21

4,0

41

1.1

9 3

,871

1

.12

4,0

32

1.1

5

Abb

revi

atio

n: -

not

ava

ilabl

e; n

a -

not a

pplic

able

Sela

ngor

& W

P Pu

traj

aya

& W

PKL

are

also

col

lect

ivel

y re

ferr

ed to

as

Kla

ng V

alle

y.

*

Publ

ic s

ecto

r in

201

1 re

fers

to M

OH

and

Uni

vers

ity h

ospi

tals

, whi

le p

ublic

sec

tor

in 2

012

& 2

013

refe

rs to

MO

H, U

nive

rsity

, and

MO

D h

ospi

tals

.

Fo

r po

pula

tion

data

, ple

ase

refe

r App

endi

x 3:

Tab

le A

3.1

14


Tabl

e 1.

2.1

: Num

ber

& D

ensi

ty o

f Tot

al I

npat

ient

Bed

s an

d Fu

ncti

onin

g B

eds

in (

Acu

te C

urat

ive)

Spe

cial

ist

Hos

pita

ls in

Mal

aysi

a by

Sta

te &

Sec

tor,

2011

-201

3

Stat

eSe

ctor

*

Tota

l Inp

atie

nt B

eds

Func

tion

ing

Inpa

tien

t B

eds

2011

2012

2013

2011

2012

2013

Number


Number


Number


Number


Number


Number


Mal

aysi

aPu

blic

31,0

66-

31,2

99-

32,0

34-

29,4

34-

30,0

62-

31,1

10-

Mal

aysi

aPr

ivat

e12

,490

-12

,792

-12

,990

-11

,219

-12

,317

-12

,485

- M

alay

sia

Tota

l43

,556

1.50

44,0

911.

5045

,024

1.52

40,6

531.

4042

,379

1.44

43,5

951.

47Pe

rlis

Publ

ic40

4-

404

- 40

4-

390

- 40

4-

404

- Pe

rlis

Priv

ate

na -

na -

na -

na -

na -

na-

Perl

isTo

tal

404

1.70

404

1.69

404

1.67

390

1.64

404

1.69

404

1.67

Keda

hPu

blic

1,83

0-

1,84

4-

1,87

0-

1,77

7-

1,82

6-

1,85

2-

Keda

hPr

ivat

e48

5 -

501

-50

5 -

480

-50

1 -

505

- Ke

dah

Tota

l2,

315

1.17

2,34

51.

172,

375

1.18

2,25

71.

142,

327

1.17

2,35

71.

17Ke

dah

& P

erlis

Publ

ic1,

830

- 1,

844

- 1,

870

- 2,

167

- 2,

230

- 2,

256

- Ke

dah

& P

erlis

Priv

ate

485

-50

1 -

505

-48

0 -

501

-50

5-

Keda

h &

Per

lisTo

tal

2,31

51.

052,

345

1.05

2,37

51.

052,

647

1.20

2,73

11.

222,

761

1.22

Pula

u Pi

nang

Publ

ic1,

771

- 1,

771

- 1,

771

- 1,

771

- 1,

771

- 1,

771

- Pu

lau

Pina

ngPr

ivat

e1,

810

-1,

893

-1,

959

-1,

583

-1,

883

-1,

936

- Pu

lau

Pina

ngTo

tal

3,58

12.

253,

664

2.27

3,73

02.

293,

354

2.10

3,65

42.

273,

707

2.28

Pera

kPu

blic

2,66

6-

2,81

0-

2,81

0-

2,55

6-

2,65

0-

2,69

6-

Pera

kPr

ivat

e83

9 -

1,00

4 -

1,00

4 -

773

-99

6 -

996

- Pe

rak

Tota

l3,

505

1.46

3,81

41.

583,

814

1.57

3,32

91.

393,

646

1.51

3,69

21.

52Se

lang

orPu

blic

4,24

2-

4,23

4-

4,23

4-

3,79

6-

3,87

5-

3,95

3-

Sela

ngor

Priv

ate

3,04

8 -

3,18

6 -

3,19

0 -

2,77

3 -

3,06

4 -

3,09

5-

Sela

ngor

Tota

l7,

290

1.31

7,42

01.

317,

424

1.30

6,56

91.

186,

939

1.23

7,04

81.

23W

P Pu

traj

aya

Publ

ic27

8-

341

- 59

3-

278

- 31

0-

548

- W

P Pu

traj

aya

Priv

ate

na -

na -

na -

na -

na -

na-

WP

Putr

ajay

aTo

tal

278

3.64

341

4.29

593

7.19

278

3.64

310

3.90

548

6.64

WP

Kual

a Lu

mpu

rPu

blic

4,65

1-

4,65

0-

4,68

1-

4,07

5-

4,26

7-

4,39

9-

WP

Kual

a Lu

mpu

rPr

ivat

e2,

926

-3,

045

-3,

132

-2,

526

-2,

800

-2,

848

- W

P Ku

ala

Lum

pur

Tota

l7,

577

4.47

7,69

54.

497,

813

4.51

6,60

13.

907,

067

4.12

7,24

74.

18Se

lang

or &

WP

Putr

ajay

a &

WP

Kual

a Lu

mpu

rPu

blic

9,17

1-

9,22

5-

9,50

8-

8,14

9-

8,45

2-

8,90

0-

Sela

ngor

& W

P Pu

traj

aya

& W

P Ku

ala

Lum

pur

Priv

ate

5,97

4 -

6,23

1 -

6,32

1 -

5,29

9 -

5,86

4 -

5,94

3-

Sela

ngor

& W

P Pu

traj

aya

& W

P Ku

ala

Lum

pur

Tota

l15

,145

2.06

15,4

562.

0815

,829

2.10

13,4

481.

8314

,316

1.92

14,8

431.

97

Abb

revi

atio

n: -

not

ava

ilabl

e; n

a -

not a

pplic

able

Sela

ngor

& W

P Pu

traj

aya

& W

PKL

are

also

col

lect

ivel

y re

ferr

ed to

as

Kla

ng V

alle

y.

*

Publ

ic s

ecto

r in

201

1 re

fers

to M

OH

and

Uni

vers

ity h

ospi

tals

, whi

le p

ublic

sec

tor

in 2

012

& 2

013

refe

rs to

MO

H, U

nive

rsity

, and

MO

D h

ospi

tals

.

For

popu

latio

n da

ta, p

leas

e re

fer A

ppen

dix

3: T

able

A3.

1

15

CHAP

TER

1: H

OSPI

TAL

FACI

LITI

ES


Tabl

e 1.

2.1

[con

tinu

ed]:

Num

ber

& D

ensi

ty o

f Tot

al I

npat

ient

Bed

s an

d Fu

ncti

onin

g B

eds

in (

Acu

te C

urat

ive)

Spe

cial

ist

Hos

pita

ls in

Mal

aysi

a by

Sta

te &

Sec

tor,

2011

-201

3

Stat

eSe

ctor

*

Tota

l Inp

atie

nt B

eds

Func

tion

ing

Inpa

tien

t B

eds

2011

2012

2013

2011

2012

2013

Number


Number


Number


Number


Number


Number


Neg

eri S

embi

lan

Publ

ic1,

258

- 1,

258

- 1,

258

- 1,

248

- 1,

258

- 1,

258

- N

eger

i Sem

bila

nPr

ivat

e51

7 -

538

-55

0 -

517

-53

8 -

550

- N

eger

i Sem

bila

nTo

tal

1,77

51.

701,

796

1.70

1,80

81.

691,

765

1.69

1,79

61.

701,

808

1.69

Mel

aka

Publ

ic90

1-

1,18

5-

1,18

5-

901

- 1,

185

- 1,

185

- M

elak

aPr

ivat

e81

3 -

697

-72

5 -

716

-67

6 -

704

- M

elak

aTo

tal

1,71

42.

061,

882

2.23

1,91

02.

241,

617

1.94

1,86

12.

211,

889

2.22

Joho

rPu

blic

3,13

9-

3,13

9-

3,34

1-

3,08

3-

3,07

3-

3,27

5-

Joho

rPr

ivat

e86

4 -

1,01

0 -

1,00

5 -

783

-96

0 -

945

- Jo

hor

Tota

l4,

003

1.18

4,14

91.

214,

346

1.25

3,86

61.

144,

033

1.17

4,22

01.

21Pa

hang

Publ

ic1,

573

- 1,

573

- 1,

623

- 1,

539

- 1,

539

- 1,

623

- Pa

hang

Priv

ate

312

-25

2 -

252

-31

0 -

252

-25

2-

Paha

ngTo

tal

1,88

51.

241,

825

1.18

1,87

51.

191,

849

1.21

1,79

11.

161,

875

1.19

Tere

ngga

nuPu

blic

937

- 93

7-

937

- 93

7-

937

- 93

7-

Tere

ngga

nuPr

ivat

e33

-33

-33

-33

-33

-33

- Te

reng

ganu

Tota

l97

00.

9097

00.

8997

00.

8797

00.

9097

00.

8997

00.

87Ke

lant

anPu

blic

1,93

7-

1,95

7-

1,96

7-

1,93

7-

1,95

7-

1,96

7-

Kela

ntan

Priv

ate

162

-17

6 -

176

-16

2 -

164

-16

9-

Kela

ntan

Tota

l2,

099

1.30

2,13

31.

302,

143

1.29

2,09

91.

302,

121

1.29

2,13

61.

28Sa

raw

akPu

blic

2,70

5-

2,70

5-

2,72

1-

2,61

6-

2,61

6-

2,69

1-

Sara

wak

Priv

ate

450

-35

6 -

359

-42

4 -

356

-35

9-

Sara

wak

Tota

l3,

155

1.25

3,06

11.

203,

080

1.20

3,04

01.

212,

972

1.17

3,05

01.

18Sa

bah

Publ

ic2,

665

- 2,

382

- 2,

530

- 2,

421

- 2,

285

- 2,

442

- Sa

bah

Priv

ate

231

-10

1 -

101

-13

9 -

94 -

94-

Saba

hTo

tal

2,89

60.

872,

483

0.74

2,63

10.

772,

560

0.77

2,37

90.

712,

536

0.74

WP

Labu

anPu

blic

109

- 10

9-

109

- 10

9-

109

- 10

9-

WP

Labu

anPr

ivat

ena

-na

-na

-na

-na

-na

- W

P La

buan

Tota

l10

91.

2110

91.

1910

91.

1710

91.

2110

91.

1910

91.

17Sa

bah

& W

P La

buan

Publ

ic2,

774

- 2,

491

- 2,

639

- 2,

530

- 2,

394

- 2,

551

- Sa

bah

& W

P La

buan

Priv

ate

231

-10

1 -

101

-13

9 -

94 -

94-

Saba

h &

WP

Labu

anTo

tal

3,00

50.

882,

592

0.75

2,74

00.

782,

669

0.78

2,48

80.

722,

645

0.75

Abb

revi

atio

n: -

not

ava

ilabl

e; n

a -

not a

pplic

able

Sela

ngor

& W

P Pu

traj

aya

& W

PKL

are

also

col

lect

ivel

y re

ferr

ed to

as

Kla

ng V

alle

y.

*

Publ

ic s

ecto

r in

201

1 re

fers

to M

OH

and

Uni

vers

ity h

ospi

tals

, whi

le p

ublic

sec

tor

in 2

012

& 2

013

refe

rs to

MO

H, U

nive

rsity

, and

MO

D h

ospi

tals

.

For

popu

latio

n da

ta, p

leas

e re

fer A

ppen

dix

3: T

able

A3.

1

16


Tabl

e 1.

2.2:

Num

ber

& D

ensi

ty o

f Tot

al I

npat

ient

Bed

s an

d Fu

ncti

onin

g B

eds

in (

Acu

te C

urat

ive)

Non

-Spe

cial

ist

Hos

pita

ls in

Mal

aysi

a by

Sta

te &

Sec

tor,

2011

-201

3

Stat

eSe

ctor

*

Tota

l Inp

atie

nt B

eds

Func

tion

ing

Inpa

tien

t B

eds

2011

2012

2013

2011

2012

2013

Number


Number


Number


Number


Number


Number


Mal

aysi

aPu

blic

6,59

3-

6,55

8-

6,60

7-

6,14

7-

6,31

0-

6,37

7-

Mal

aysi

aPr

ivat

e51

- 48

- 54

- 51

- 48

- 54

- M

alay

sia

Tota

l6,

644

0.23

6,60

60.

236,

661

0.22

6,19

80.

216,

358

0.22

6,43

10.

22Pe

rlis

Publ

icna

- na

- na

- na

- na

- na

- Pe

rlis

Priv

ate

na-

na-

na-

na-

na-

na-

Perl

isTo

tal

nana

nana

nana

nana

nana

nana

Keda

hPu

blic

560

- 56

0-

560

- 51

7-

517

- 51

7-

Keda

hPr

ivat

ena

- na

- na

- na

- na

- na

- Ke

dah

Tota

l56

00.

2856

00.

2856

00.

2851

70.

2651

70.

2651

70.

26Ke

dah

& P

erlis

Publ

ic56

0-

560

- 56

0-

517

- 51

7-

517

- Ke

dah

& P

erlis

Priv

ate

na-

na-

na-

na-

na-

na-

Keda

h &

Per

lisTo

tal

560

0.25

560

0.25

560

0.25

517

0.23

517

0.23

517

0.23

Pula

u Pi

nang

Publ

ic17

6-

176

- 17

6-

176

- 17

6-

176

- Pu

lau

Pina

ngPr

ivat

ena

- na

- na

- na

- na

- na

- Pu

lau

Pina

ngTo

tal

176

0.11

176

0.11

176

0.11

176

0.11

176

0.11

176

0.11

Pera

kPu

blic

914

- 91

4-

914

- 76

8-

854

- 87

2-

Pera

kPr

ivat

ena

- na

- na

- na

- na

- na

- Pe

rak

Tota

l91

40.

3891

40.

3891

40.

3876

80.

3285

40.

3587

20.

36Se

lang

orPu

blic

523

- 45

0-

450

- 48

3-

450

- 45

0-

Sela

ngor

Priv

ate

na-

na-

na-

na-

na-

na-

Sela

ngor

Tota

l52

30.

0945

00.

0845

00.

0848

30.

0945

00.

0845

00.

08W

P Pu

traj

aya

Publ

icna

- na

- na

- na

- na

- na

- W

P Pu

traj

aya

Priv

ate

na-

na-

na-

na-

na-

na-

WP

Putr

ajay

aTo

tal

nana

nana

nana

nana

nana

nana

WP

Kual

a Lu

mpu

rPu

blic

na-

na-

na-

na-

na-

na-

WP

Kual

a Lu

mpu

rPr

ivat

ena

- na

- na

- na

- na

- na

- W

P Ku

ala

Lum

pur

Tota

lna

nana

nana

na0.

000.

000.

00Se

lang

or &

WP

Putr

ajay

a &

WP

Kual

a Lu

mpu

rPu

blic

523

- 45

0-

450

- 48

3-

450

- 45

0-

Sela

ngor

& W

P Pu

traj

aya

& W

P Ku

ala

Lum

pur

Priv

ate

na-

na-

na-

na-

na-

na-

Sela

ngor

& W

P Pu

traj

aya

& W

P Ku

ala

Lum

pur

Tota

l52

30.

0745

00.

0645

00.

0648

30.

0745

00.

0645

00.

06

Abb

revi

atio

n: -

not

ava

ilabl

e; n

a -

not a

pplic

able

Sela

ngor

& W

P Pu

traj

aya

& W

PKL

are

also

col

lect

ivel

y re

ferr

ed to

as

Kla

ng V

alle

y.

*

Publ

ic s

ecto

r in

201

1 re

fers

to M

OH

and

Uni

vers

ity h

ospi

tals

, whi

le p

ublic

sec

tor

in 2

012

& 2

013

refe

rs to

MO

H, U

nive

rsity

, and

MO

D h

ospi

tals

.

Fo

r po

pula

tion

data

, ple

ase

refe

r App

endi

x 3:

Tab

le A

3.1

17

CHAP

TER

1: H

OSPI

TAL

FACI

LITI

ES


Tabl

e 1.

2.2

[con

tinu

ed]:

Num

ber

& D

ensi

ty o

f Tot

al I

npat

ient

Bed

s an

d Fu

ncti

onin

g B

eds

in (

Acu

te C

urat

ive)

Non

-Spe

cial

ist

Hos

pita

ls in

Mal

aysi

a by

Sta

te &

Sec

tor,

2011

-201

3

Stat

eSe

ctor

*

Tota

l Inp

atie

nt B

eds

Func

tion

ing

Inpa

tien

t B

eds

2011

2012

2013

2011

2012

2013

Number


Number


Number


Number


Number


Number


Neg

eri S

embi

lan

Publ

ic26

9-

305

- 30

5-

265

- 29

1-

291

- N

eger

i Sem

bila

nPr

ivat

ena

- na

- na

- na

- na

- na

- N

eger

i Sem

bila

nTo

tal

269

0.26

305

0.29

305

0.29

265

0.25

291

0.28

291

0.27

Mel

aka

Publ

ic10

5-

105

- 15

4-

105

- 10

5-

154

- M

elak

aPr

ivat

ena

- na

- na

- na

- na

- na

- M

elak

aTo

tal

105

0.13

105

0.12

154

0.18

105

0.13

105

0.12

154

0.18

Joho

rPu

blic

495

- 49

5-

495

- 49

5-

495

- 49

5-

Joho

rPr

ivat

e51

- 48

- 54

- 51

- 48

- 54

- Jo

hor

Tota

l54

60.

1654

30.

1654

90.

1654

60.

1654

30.

1654

90.

16Pa

hang

Publ

ic45

7-

423

- 42

3-

423

- 42

3-

423

- Pa

hang

Priv

ate

na-

na-

na-

na-

na-

na-

Paha

ngTo

tal

457

0.30

423

0.27

423

0.27

423

0.28

423

0.27

423

0.27

Tere

ngga

nuPu

blic

405

- 40

5-

405

- 40

5-

405

- 40

5-

Tere

ngga

nuPr

ivat

ena

- na

- na

- na

- na

- na

- Te

reng

ganu

Tota

l40

50.

3840

50.

3740

50.

3640

50.

3840

50.

3740

50.

36Ke

lant

anPu

blic

462

- 51

8-

518

- 46

2-

518

- 51

8-

Kela

ntan

Priv

ate

na-

na-

na-

na-

na-

na-

Kela

ntan

Tota

l46

20.

2951

80.

3251

80.

3146

20.

2951

80.

3251

80.

31Sa

raw

akPu

blic

748

- 72

8-

728

- 69

4-

722

- 72

2-

Sara

wak

Priv

ate

na-

na-

na-

na-

na-

na-

Sara

wak

Tota

l74

80.

3072

80.

2972

80.

2869

40.

2872

20.

2872

20.

28Sa

bah

Publ

ic14

79-

1479

- 14

79-

1354

- 13

54-

1354

- Sa

bah

Priv

ate

na-

na-

na-

na-

na-

na-

Saba

hTo

tal

1479

0.45

1479

0.44

1479

0.43

1354

0.41

1354

0.40

1354

0.39

WP

Labu

anPu

blic

na-

na-

na-

na-

na-

na-

WP

Labu

anPr

ivat

ena

- na

- na

- na

- na

- na

- W

P La

buan

Tota

lna

nana

nana

nana

nana

nana

naSa

bah

& W

P La

buan

Publ

ic14

79-

1479

- 14

79-

1354

- 13

54-

1354

- Sa

bah

& W

P La

buan

Priv

ate

na-

na-

na-

na-

na-

na-

Saba

h &

WP

Labu

anTo

tal

1479

0.43

1479

0.43

1479

0.42

1354

0.40

1354

0.39

1354

0.38

Abb

revi

atio

n: -

not

ava

ilabl

e; n

a -

not a

pplic

able

Sela

ngor

& W

P Pu

traj

aya

& W

PKL

are

also

col

lect

ivel

y re

ferr

ed to

as

Kla

ng V

alle

y.

*

Publ

ic s

ecto

r in

201

1 re

fers

to M

OH

and

Uni

vers

ity h

ospi

tals

, whi

le p

ublic

sec

tor

in 2

012

& 2

013

refe

rs to

MO

H, U

nive

rsity

, and

MO

D h

ospi

tals

.

Fo

r po

pula

tion

data

, ple

ase

refe

r App

endi

x 3:

Tab

le A

3.1

18


Tabl

e 1.

2.3

: Num

ber

& D

ensi

ty o

f Tot

al I

npat

ient

Bed

s an

d Fu

ncti

onin

g B

eds

in (

Acu

te C

urat

ive)

Mat

erni

ty C

entr

es in

Mal

aysi

a by

Sta

te &

Sec

tor,

2011

-201

3

Stat

eSe

ctor

*

Tota

l Inp

atie

nt B

eds

Func

tion

ing

Inpa

tien

t B

eds

2011

2012

2013

2011

2012

2013

Number


Number


Number


Number


Number


Number


Mal

aysi

aPu

blic

na-

na-

na-

na-

na-

na-

Mal

aysi

aPr

ivat

e71

3-

760

- 75

2-

670

- 74

9-

741

- M

alay

sia

Tota

l71

30.

0276

00.

0375

20.

0367

00.

0274

90.

0374

10.

02Pe

rlis

Publ

icna

- na

- na

- na

- na

- na

- Pe

rlis

Priv

ate

na-

na-

na-

na-

na-

na-

Perl

isTo

tal

nana

nana

nana

nana

nana

nana

Keda

hPu

blic

na-

na-

na-

na-

na-

na-

Keda

hPr

ivat

e57

- 28

- 28

- 57

- 28

- 28

- Ke

dah

Tota

l57

0.03

280.

0128

0.01

570.

0328

0.01

280.

01Ke

dah

& P

erlis

Publ

icna

- na

- na

- na

- na

- na

- Ke

dah

& P

erlis

Priv

ate

57-

28-

28-

57-

28-

28-

Keda

h &

Per

lisTo

tal

570.

0328

0.01

280.

0157

0.03

280.

0128

0.01

Pula

u Pi

nang

Publ

icna

- na

- na

- na

- na

- na

- Pu

lau

Pina

ngPr

ivat

e11

0-

103

- 78

- 11

0-

103

- 78

- Pu

lau

Pina

ngTo

tal

110

0.07

103

0.06

780.

0511

00.

0710

30.

0678

0.05

Pera

kPu

blic

na-

na-

na-

na-

na-

na-

Pera

kPr

ivat

e21

- 19

- 19

- 21

- 19

- 19

- Pe

rak

Tota

l21

0.01

190.

0119

0.01

210.

0119

0.01

190.

01Se

lang

orPu

blic

na-

na-

na-

na-

na-

na-

Sela

ngor

Priv

ate

219

- 21

4-

228

- 21

9-

214

- 22

8-

Sela

ngor

Tota

l21

90.

0421

40.

0422

80.

0421

90.

0421

40.

0422

80.

04W

P Pu

traj

aya

Publ

icna

- na

- na

- na

- na

- na

- W

P Pu

traj

aya

Priv

ate

na-

na-

na-

na-

na-

na-

WP

Putr

ajay

aTo

tal

nana

nana

nana

nana

nana

nana

WP

Kual

a Lu

mpu

rPu

blic

na-

na-

na-

na-

na-

na-

WP

Kual

a Lu

mpu

rPr

ivat

e89

- 14

3-

140

- 58

- 13

7-

134

- W

P Ku

ala

Lum

pur

Tota

l89

0.05

143

0.08

140

0.08

580.

0313

70.

0813

40.

08Se

lang

or &

WP

Putr

ajay

a &

WP

Kual

a Lu

mpu

rPu

blic

na-

na-

na-

na-

na-

na-

Sela

ngor

& W

P Pu

traj

aya

& W

P Ku

ala

Lum

pur

Priv

ate

308

- 35

8-

367

- 27

6-

351

- 36

1-

Sela

ngor

& W

P Pu

traj

aya

& W

P Ku

ala

Lum

pur

Tota

l30

80.

0435

80.

0536

70.

0527

60.

0435

10.

0536

10.

05

Abb

revi

atio

n: -

not

ava

ilabl

e; n

a -

not a

pplic

able

Sela

ngor

& W

P Pu

traj

aya

& W

PKL

are

also

col

lect

ivel

y re

ferr

ed to

as

Kla

ng V

alle

y.

*

Publ

ic s

ecto

r in

201

1 re

fers

to M

OH

and

Uni

vers

ity h

ospi

tals

, whi

le p

ublic

sec

tor

in 2

012

& 2

013

refe

rs to

MO

H, U

nive

rsity

, and

MO

D h

ospi

tals

.

For

popu

latio

n da

ta, p

leas

e re

fer A

ppen

dix

3: T

able

A3.

1

19

CHAP

TER

1: H

OSPI

TAL

FACI

LITI

ES


Tabl

e 1.

2.3

[con

tinu

ed]:

Num

ber

& D

ensi

ty o

f Tot

al I

npat

ient

Bed

s an

d Fu

ncti

onin

g B

eds

in (

Acu

te C

urat

ive)

Mat

erni

ty C

entr

es in

Mal

aysi

a by

Sta

te &

Sec

tor,

2011

-201

3

Stat

eSe

ctor

*

Tota

l Inp

atie

nt B

eds

Func

tion

ing

Inpa

tien

t B

eds

2011

2012

2013

2011

2012

2013

Number


Number


Number


Number


Number


Number


Neg

eri S

embi

lan

Publ

icna

- na

- na

- na

- na

- na

- N

eger

i Sem

bila

nPr

ivat

e0

- 9

- 9

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- 9

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eger

i Sem

bila

nTo

tal

00.

009

0.01

90.

010.

009

0.01

90.

01M

elak

aPu

blic

na-

na-

na-

na-

na-

na-

Mel

aka

Priv

ate

na-

na-

na-

na-

na-

na-

Mel

aka

Tota

lna

nana

nana

nana

nana

nana

naJo

hor

Publ

icna

- na

- na

- na

- na

- na

- Jo

hor

Priv

ate

146

- 16

8-

171

- 13

4-

168

- 17

1-

Joho

rTo

tal

146

0.04

168

0.05

171

0.05

134

0.04

168

0.05

171

0.05

Paha

ngPu

blic

na-

na-

na-

na-

na-

na-

Paha

ngPr

ivat

e28

- 30

- 30

- 28

- 25

- 25

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hang

Tota

l28

0.02

300.

0230

0.02

280.

0225

0.02

250.

02Te

reng

ganu

Publ

icna

- na

- na

- na

- na

- na

- Te

reng

ganu

Priv

ate

na-

na-

na-

na-

na-

na-

Tere

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nuTo

tal

nana

nana

nana

nana

nana

nana

Kela

ntan

Publ

icna

- na

- na

- na

- na

- na

- Ke

lant

anPr

ivat

ena

- na

- na

- na

- na

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- Ke

lant

anTo

tal

nana

nana

nana

nana

nana

nana

Sara

wak

Publ

icna

- na

- na

- na

- na

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raw

akPr

ivat

e25

- 17

- 16

- 25

- 17

- 16

- Sa

raw

akTo

tal

250.

0117

0.01

160.

0125

0.01

170.

0116

0.01

Saba

hPu

blic

na-

na-

na-

na-

na-

na-

Saba

hPr

ivat

e18

- 29

- 33

- 18

- 29

- 33

- Sa

bah

Tota

l18

0.01

290.

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0.01

180.

0129

0.01

330.

01W

P La

buan

Publ

icna

- na

- na

- na

- na

- na

- W

P La

buan

Priv

ate

na-

na-

na-

na-

na-

na-

WP

Labu

anTo

tal

nana

nana

nana

nana

nana

nana

Saba

h &

WP

Labu

anPu

blic

na-

na-

na-

na-

na-

na-

Saba

h &

WP

Labu

anPr

ivat

e18

- 29

- 33

- 18

- 29

- 33

- Sa

bah

& W

P La

buan

Tota

l18

0.01

290.

0133

0.01

180.

0129

0.01

330.

01

Abb

revi

atio

n: -

not

ava

ilabl

e; n

a -

not a

pplic

able

Sela

ngor

& W

P Pu

traj

aya

& W

PKL

are

also

col

lect

ivel

y re

ferr

ed to

as

Kla

ng V

alle

y.

*

Publ

ic s

ecto

r in

201

1 re

fers

to M

OH

and

Uni

vers

ity h

ospi

tals

, whi

le p

ublic

sec

tor

in 2

012

& 2

013

refe

rs to

MO

H, U

nive

rsity

, and

MO

D h

ospi

tals

.

Fo

r po

pula

tion

data

, ple

ase

refe

r App

endi

x 3:

Tab

le A

3.1

Chapter 2 :

HospitalMedical Device(Mammogram

Machine)

22


CHAPTER 2 | HOSPITAL MEDICAL DEVICE (MAMMOGRAM MACHINE)For this NHEWS (Hospital) report, we feature mammogram machines in discussing the availability of hospital medical devices. There were 146 mammogram machines in 2012, and 150 in 2013; the overall increase of four machines was contributed by an addition of five machines in the private sector, minus one machine from the public sector. About two thirds of hospital mammogram machines in the country were found in the private hospitals. [Table 2.1]

Both years saw a density of about 72 mammogram machines per million population of women aged 50-69 years in the country [Table 2.1]. The population denominator for this density calculation was adopted from the World Health Organization (WHO)1 and Organisation for Economic Co-operation and Development (OECD)2 reporting standard, indicating their target population for breast cancer screening programme. We feature this age group of female population in the interest of comparing our data with relevant international data. The latest available WHO data on mammogram machines density in most countries around the world is for the year 2010 1. Our neighbour Thailand, which shares similar economic status to us, had 30.8 mammogram machines per million women aged 50-69 years; meanwhile Singapore, of high income economy had 143.9. Other high income countries such as Japan and New Zealand, observed a ratio of 225.9 and 227.9 each1.

Besides the 50-69 years age group, we are also reporting our data in reference to the female population of 40-74 years. Malaysian Management of Breast Cancer Clinical Practice Guideline (CPG)3 recommends screening mammography for women from the age 50-74 years. In addition, the CPG3 also recommends that women aged 40-49 years should not be denied screening mammography if they so desire. Furthermore, female breast cancer incidence in Malaysia demonstrates a higher increase from 40 years and above4,5. Overall age-standardised incidence of female breast cancer was 46.2 per 100,000 population in 2003 4, and 39.3 per 100,000 population in 2006 5. Age specific incidence for both years saw a higher incidence starting from the age group 40-49 years (111.9 per 100,000 population in 2003, and 88.1 per 100,000 population in 2006), with a peak in 50-59 years age group (159.8 per 100,000 population in 2003, and 142.7 per 100,000 population in 2006) 4,5. We also speculate that higher health-seeking behaviour may be a factor in promoting screening mammography in the 40-49 years age group. Going by the aforementioned arguments, we conclude that the 40-74 years age group would be a better suited target population for our local context.

Predictably, we observed density of mammogram machines per women aged 40-74 years to be lower than the density per women aged 50-69 years. For both 2012 and 2013, there were 37 mammogram machines per million women aged 40-74 years. This demonstrates reduced availability of such facility to the population by almost half than the earlier density per women aged 50-69 years [Table 2.1]. Hence, shortage of facility availability may in reality be more substantial than such shortage that is highlighted through comparison with international standards (which is limited by dissimilarities in demography, morbidity, and health systems).

Over the two-year period, availability of mammogram machine consistently surpassed the national average of 37 per million women aged 40-74 years in three locations i.e. Klang Valley (54-57), Negeri Sembilan (50-51), and Melaka (54-55). Meanwhile, two other locations consistently recorded values well below the national average i.e. Kelantan (13), and Sabah &WP Labuan (11-12). Density of mammogram machines differed by 1-3 PMP from 2012 to 2013 for most states/locations; except for Pulau Pinang- differing by 6 PMP (from 38 to 44 PMP). [Table 2.1]

Although data on the number of mammography (total and screening) performed were captured within the ‘Activities’ chapter of the NHEWS (Hospital) survey, we shall present the findings here to allow fluidity of discussion regarding the topic. Total number of mammography increased by 26,477 (15%) from 2012 to 2013. For both years, almost four times more mammographies were performed in the private sector compared with the public sector; consistent with the higher availability of mammogram machines in the private sector i.e. almost twice the amount in the public sector. Overall, screening mammography amounted to about two thirds of total mammography performed in both 2012 and 2013; largely contributed by the private sector. Majority (75%-77%) of mammographies performed in the private sector were screening in nature. Meanwhile in the public sector, most (78%-80%) mammographies were diagnostic. Such observation is uniform across all states in the country except for Terengganu, which had zero screening mammography in its sole

23

CHAP

TER

2: H

OSPI

TAL

MED

ICAL

DEV

ICE

(MAM

MOG

RAM

MAC

HINE

)


private hospital. [Table 2.2]

We attempted to estimate the rate of screening mammography performed for our selected target population (women aged 40-74 years). Data on screening mammography that we captured were outputs of hospitals, therefore patient details of each mammography were not gathered. As such we cannot be certain that all screening mammographies being reported were indeed performed for only women who fell into the specific age group. However we employ the assumption that most screening mammographies would be performed for said population of women and a negligible number would be contributed by screening mammographies of women out of the age range. This assumption shares common ground with observations made by the National Health and Morbidity Survey (NHMS) 2011 6,7. In NHMS 2011, a sample population of women aged 40 years and above were surveyed via a face-to-face individual interview to determine the prevalence of screening mammography in said population within 12 months prior to the survey6. The findings7 are presented below:

Table 2: Estimated Number and Proportion of Women Aged 40 Years and Above Who Underwent Screening Mammography Within 12 Months Prior to the NHMS 2011.

Age GroupNumber of Women Who

Reported to Have Undergone Screening Mammography

Estimated Population*

Proportion of Estimated Population Out of the Total Estimated Population (%)‡

40-44 81 73,426 27.2

45-49 85 64,859 24.1

50-54 73 57,800 21.4

55-59 52 30,490 11.3

60-64 20 15,079 5.6

65-69 7 6,886 2.6

70-74 12 16,321 6.1

75+ 6 4,637 1.7

40-74 330 264,861 98.3

40-75+ (Total) 336 269,498 100

*Refers to estimated number of women who underwent screening mammography in the population based on the number of women who reported to have undergone screening mammography.‡ These proportions were not reported in the NHMS, but we calculated them by dividing the estimated population within each age group by 269, 498 (the total number of estimated population for all age groups)Source: NHMS 2011 Vol III 7. Adapted from Table 2.22: Promotive and preventive activities by sociodemographic characteristics (Page 117-118).

From the proportions stated above, we estimated that 98.3% of screening mammographies captured in NHEWS (Hospital) 2012-2013 survey would have been performed for women aged 40-74 years. Furthermore, the NHMS 2011 findings appear to reciprocate with our earlier discussion regarding screening mammography in women aged 40-49 years.

In this report, we applied the proportion of each age group to our screening mammography data, and tabulated the estimated number and estimated density (per 1,000 female population) within the respective age group, by state [Table 2.3 and Table 2.4]. The density was calculated by dividing the estimated number of screening mammography by the female population of each age group in each state.

In accordance with the NHMS 2011 observation, the estimated number of screening mammography decreased with increasing age (categorised into five-year intervals within the 40-74 years age group). However, an exception applies to the last five-year interval (70-74 years) for which the number increased from that of the preceding five-year interval. Nonetheless, this pattern did not necessarily hold for the estimated density of screening mammography. Our estimation showed that on average, screening occurred at almost similar rates across the 40-44 year, 45-49 years, and 50-54 years age groups (~33 per 1,000 women of respective age group in 2012, and ~39 per 1,000 women

24


of respective age group in 2013). For subsequent age groups, the pattern observed in estimated number of screening mammography also held true for the estimated density. Overall, we estimated screening mammography rate per 1,000 women aged 40-74 years to be 28 women for 2012, and 32 women for 2013. From this, a 16.4% increase of screening rate over two years can be observed. [Table 2.3 and Table 2.4]

A general observation that we noticed is that the higher the density of mammogram machines; the higher the density of screening mammography. This may translate into: the more available mammogram machines are to the population; the higher the screening rate is. We observed higher estimated screening rates than the national average for both years in Klang Valley, Negeri Sembilan, Melaka, Pulau Pinang, and Sarawak (34-62 per 1,000 women aged 40-74 years in 2012, and 39-67 women aged 40-74 years in 2013) [Table 2.3 and Table 2.4]. Except for Sarawak, in which availability of mammogram machines was near that of the national average; each of the remaining states recorded mammogram machine availability that was higher than the national average [Table 2.1]. In contrast, over the two-year period, four states (Kelantan, Sabah & WP Labuan, Perlis, and Terengganu) consistently showed estimated screening rates of below 10 per 1,000 women aged 40-74 years [Table 2.3 and Table 2.4]. Kelantan and Sabah & WP Labuan each reported low availability of mammogram machines compared with the national average, while Perlis and Terengganu each observed availability that was approximate to the national average [Table 2.1].

Nonetheless, we acknowledge that influences on the screening rate are multifactorial. For example, in areas that are more urbanised, and have denser population; health promotion can more effectively reach the masses; therefore may encourage a higher uptake of screening mammography. Moreover, areas with higher population density and urbanisation level may lead to higher mammogram machine availability due to higher health demands, and in turn promote higher screening rates. Besides that, cultural influences also exist, which may affect receptiveness of certain populations to screening mammography. We take note that Selangor, WP Putrajaya, WPKL, Pulau Pinang, and Melaka are among the most densely populated areas (493-6,891 persons per square kilometre) with urbanisation level of each state exceeding the national average of 71% 8. In contrast, Kelantan, Sabah, and Terengganu are among the least densely populated areas (44-102 persons per square kilometre) with urbanisation level below 71% each8.

In principle, the rate of screening mammography increased over time (2012-2013); although we noted a few states that observed dissimilar pattern. For example, Pulau Pinang saw a decrease in screening mammography (from 62 to 49 per 1, 000 women aged 40-74 years), despite an increasing availability of mammogram machines. We also found Negeri Sembilan to observe decreasing screening rate (from 55 to 47 per 1, 000 women aged 40-74 years), however with mammogram machine availability remaining almost unchanged. An interesting finding is that Kelantan observed a four-fold increase in screening rate with similar mammogram machine availability over the two years; notwithstanding its low availability of mammogram machines compared with the national average. [Table 2.1, Table 2.3, and Table 2.4]

Internationally, screening rate for mammography is reported as percentage of women aged 50-69 years screened. OECD countries reported an average of 61.5% of women aged 50-69 years screened in 20112. Most developed nations have population-based screening mammography programmes, for which target screening rates are set. According to the European Union9 guidelines, the desirable target screening rate of such programmes is 75%, and the acceptable target is 70%. In Malaysia, population-based screening mammography programme is not yet available, therefore such target screening rate would be inapplicable. However, our attempt in estimating the screening rate for our target population under current practice may provide a baseline assessment for future planning.

Limitation:

1. Our data features mammography facilities and activities specific to hospital settings, thereby may not represent the national scenario. The country has stand-alone diagnostic centres and screening programmes running outside the hospital settings e.g.

a. The subsidised screening mammography programme organised by the National Population and Family Development Board (Lembaga Penduduk dan Pembangunan Keluarga Negara

25

CHAP

TER

2: H

OSPI

TAL

MED

ICAL

DEV

ICE

(MAM

MOG

RAM

MAC

HINE

)


(LPPKN)), which may involve hospital and non-hospital settings10

b. Mobile breast screening programme organised by the National Cancer Council (Majlis Kanser Negara (MAKNA))11

c. Screening mammography services offered by the Cancer & Health Screening Clinic of the National Cancer Society Malaysia (NCSM)12

References:

1. World Health Organization. Global Health Observatory Data Repository, Total density per million females aged from 50 to 69 years old: Mammography units [Internet]. Geneva: World Health Organization; 2014 [cited 2014 Oct 16]. Available from: http://apps.who.int/gho/data/node.main.510?lang=en.

2. Organisation for Economic Cooperation and Development. Health at a Glance 2013: OECD Indicators., Mammography screening in women aged 50-69, 2001 to 2011 (or nearest year) [Internet]. Organisation for Economic Cooperation and Development; 2013 [cited 2014 Oct 16]. Available from: http://www.oecd-ilibrary.org/social-issues-migration-health/health-at-a-glance-2013/mammography-screening-in-women-aged-50-69-2001-to-2011-or-nearest-year_health_glance-2013-graph117-en.

3. Ministry of Health Malaysia, Academy of Medicine Malaysia. Clinical Practice Guidelines Management of Breast Cancer. 2nd ed. Putrajaya; 2010 [cited 2014 Oct 16]. Available from: http://www.acadmed.org.my/index.cfm?&menuid=67.

4. GCC Lim, Y Halimah, editors. Second Report of the National Cancer Registry. Cancer Incidence in Malaysia 2003. National Cancer Registry. Kuala Lumpur 2004. [cited 2015 Jan 29]. Available from http://www.crc.gov.my/wp-content/uploads/documents/report/2nd%20National%20Cancer%20Registry.pdf

5. Omar ZA, Mohd Ali Z, Ibrahim Tamin NS, editors. Malaysian Cancer Statistics- Data and Figure Peninsular Malaysia 2006. National Cancer Registry, Ministry of Health Malaysia. Putrajaya 2006. [cited 2015 Jan 29]. Available from http://www.moh.gov.my/images/gallery/Report/Cancer/MalaysiaCancerStatistics_2006.pdf

6. Institute for Public Health (IPH). National Health and Morbidity Survey 2011 (NHMS 2011). Vol. 1: Methodology and General Findings. Kuala Lumpur; 2011 [cited 2015 Jan 29].

7. Institute for Public Health (IPH). National Health and Morbidity Survey 2011 (NHMS 2011). Vol. III: Healthcare Demand And Out-of-Pocket Health Expenditure. Kuala Lumpur; 2011 [cited 2015 Jan 29].

8. Department of Statistics Malaysia. Population Distribution and Basic Demographic Characteristics 2010. Putrajaya; 2010 [cited 2015 Feb 2]. Available from http://www.statistics.gov.my/portal/download_Population/files/census2010/Taburan_Penduduk_dan_Ciri-ciri_Asas_Demografi.pdf

9. Perry N, Broeders M, de Wolf C, Tornberg S, Holland T, von Karsa L, editors. European Guidelines for Quality Assurance in Breast Cancer Screening and Diagnosis. 4th ed. Luxembourg: Office for Official Publications of the European Communities; 2006 [cited 2014 Dec 08]. Available from http://www.euref.org/european-guidelines.

10. National Population and Family Development Board. Garis Panduan Pelaksanaan Program Subsidi Ujian Mamogram LPPKN. Kuala Lumpur; 2007 [cited 2015 Jan 29]. Available from http://www.lppkn.gov.my/index.php?view=download&alias=92-garis-panduan-pelaksanaan-program-subsidi-ujian-mamogram-lppkn&category_slug=emamogram&option=com_docman&Itemid=558&lang=en

11. Majlis Kanser Negara [Internet]. Kuala Lumpur: Majlis Kanser Negara; [cited 2015 Feb 2]. Available from http://makna.org.my/services/mobile-screening/

12. National Cancer Society Malaysia [Internet]. Kuala Lumpur: National Cancer Society Malaysia; [cited 2015 Feb 2]. Available from http://www.cancer.org.my/centres/cancer-health-screening-clinic/

Special Acknowledgement:

We would like to express our utmost appreciation to Dr. Evelyn Ho (Consultant Clinical Radiologist) who provided us with invaluable insights during the revision process of this chapter.

26


Tabl

e 2.

1: N

umbe

r &

Den

sity

of M

amm

ogra

m M

achi

nes

in A

cute

Cur

ativ

e H

ospi

tals

in M

alay

sia

by S

tate

& S

ecto

r, 20

12-2

013

Abb

revi

atio

n: -

not

ava

ilabl

e; n

a -

not a

pplic

able

; PM

P -

Per

Mill

ion

Pop

ulat

ion

Sela

ngor

& W

P Pu

traj

aya

& W

PKL

are

also

col

lect

ivel

y re

ferr

ed to

as

Kla

ng V

alle

y.

*

Publ

ic s

ecto

r re

fers

to M

OH

, Uni

vers

ity a

nd M

OD

hos

pita

ls.

Fo

r po

pula

tion

data

, ple

ase

refe

r App

endi

x 3:

Tab

le A

3.3

& T

able

A3.

4

Stat

eSe

ctor

*

Tota

l Mam

mog

ram

Mac

hine

s

2012

2013

Num

ber

PMP

(wom

en a

ged

50-6

9 ye

ars)

PMP

(wom

en a

ged

40-7

4 ye

ars)

Num

ber

PMP

(wom

en a

ged

50-6

9 ye

ars)

PMP

(wom

en a

ged

40-7

4 ye

ars)

Mal

aysi

aPu

blic

53-

- 52

- -

Mal

aysi

aPr

ivat

e93

- -

98-

- M

alay

sia

Tota

l14

6 7

2.22

3

6.85

15

0 7

1.51

3

6.93

Pe

rlis

Publ

ic1

- -

1-

- Pe

rlis

Priv

ate

na-

- na

- -

Perl

isTo

tal

1 4

9.26

2

7.03

1

48.

54

27.

03

Keda

hPu

blic

5-

-

5 -

-

Keda

hPr

ivat

e4

- -

4

--

Keda

hTo

tal

9 5

6.07

2

9.69

9

54.

12

29.

13

Keda

h &

Per

lisPu

blic

6-

-

6 -

-

Keda

h &

Per

lisPr

ivat

e4

- -

4

- -

Ke

dah

& P

erlis

Tota

l10

55.

31

29.

40

10 5

3.50

2

8.90

Pu

lau

Pina

ngPu

blic

2-

-

2 -

-

Pula

u Pi

nang

Priv

ate

8-

-

10 -

-

Pula

u Pi

nang

Tota

l10

72.

89

38.

37

12 8

3.27

4

4.15

Pe

rak

Publ

ic6

- -

6

- -

Pera

kPr

ivat

e6

- -

6

- -

Pera

kTo

tal

12 5

4.55

3

0.50

12

53.

12

30.

21

Sela

ngor

Publ

ic8

- -

8

-

-Se

lang

orPr

ivat

e22

- -

22

-

-Se

lang

orTo

tal

30 8

8.85

4

2.58

30

84.

04

40.

68

WP

Putr

ajay

aPu

blic

2-

-2

-

-

WP

Putr

ajay

aPr

ivat

ena

- -

na

- -

WP

Putr

ajay

aTo

tal

2 7

14.2

9 3

22.5

8 2

666

.67

303

.03

WPK

LPu

blic

6-

-5

- -

W

PKL

Priv

ate

17-

-20

- -

W

PKL

Tota

l23

191

.11

91.

99

25 2

01.5

2 9

8.36

Se

lang

or &

WP

Putr

ajay

a &

WPK

LPu

blic

16-

-

15-

-Se

lang

or &

WP

Putr

ajay

a &

WPK

LPr

ivat

e39

- -

42-

-Se

lang

or &

WP

Putr

ajay

a &

WPK

LTo

tal

55 1

19.3

8 5

3.78

57

118

.17

57.

30

27

CHAP

TER

2: H

OSPI

TAL

MED

ICAL

DEV

ICE

(MAM

MOG

RAM

MAC

HINE

)


Tabl

e 2.

1 [c

onti

nued

]: N

umbe

r &

Den

sity

of M

amm

ogra

m M

achi

nes

in A

cute

Cur

ativ

e H

ospi

tals

in M

alay

sia

by S

tate

& S

ecto

r, 20

12-2

013

Abb

revi

atio

n: -

not

ava

ilabl

e; n

a -

not a

pplic

able

; PM

P -

Per

Mill

ion

Pop

ulat

ion

Sela

ngor

& W

P Pu

traj

aya

& W

PKL

are

also

col

lect

ivel

y re

ferr

ed to

as

Kla

ng V

alle

y.

*

Publ

ic s

ecto

r re

fers

to M

OH

, Uni

vers

ity a

nd M

OD

hos

pita

ls.

Fo

r po

pula

tion

data

, ple

ase

refe

r App

endi

x 3:

Tab

le A

3.3

& T

able

A3.

4

Stat

eSe

ctor

*

Tota

l Mam

mog

ram

Mac

hine

s

2012

2013

Num

ber

PMP

(wom

en a

ged

50-6

9 ye

ars)

PMP

(wom

en a

ged

40-7

4 ye

ars)

Num

ber

PMP

(wom

en a

ged

50-6

9 ye

ars)

PMP

(wom

en a

ged

40-7

4 ye

ars)

Neg

eri S

embi

lan

Publ

ic2

- -

2-

- N

eger

i Sem

bila

nPr

ivat

e6

- -

6-

- N

eger

i Sem

bila

nTo

tal

8 9

4.12

5

1.31

8

90.

60

50.

31

Mel

aka

Publ

ic2

- -

2-

- M

elak

aPr

ivat

e5

- -

5-

- M

elak

aTo

tal

7 1

04.0

1 5

4.90

7

100

.86

54.

01

Joho

rPu

blic

5-

- 5

- -

Joho

rPr

ivat

e10

- -

9-

- Jo

hor

Tota

l15

61.

93

31.

78

14 5

6.17

2

9.15

Pa

hang

Publ

ic3

- -

3-

- Pa

hang

Priv

ate

3-

- 3

- -

Paha

ngTo

tal

6 5

5.00

2

9.75

6

52.

86

29.

11

Tere

ngga

nuPu

blic

3-

- 3

- -

Tere

ngga

nuPr

ivat

e1

- -

1-

- Te

reng

ganu

Tota

l4

56.

26

28.

96

4 5

4.20

2

8.39

Ke

lant

anPu

blic

2-

- 2

- -

Kela

ntan

Priv

ate

1-

- 1

- -

Kela

ntan

Tota

l3

24.

47

13.

02

3 2

3.66

1

2.78

Sa

raw

akPu

blic

4-

- 4

- -

Sara

wak

Priv

ate

8-

- 9

- -

Sara

wak

Tota

l12

69.

20

35.

33

13 7

3.86

3

7.89

Sa

bah

Publ

ic2

- -

2-

- Sa

bah

Priv

ate

2-

- 2

- -

Saba

hTo

tal

4 2

7.17

1

2.10

4

25.

66

11.

55

WP

Labu

anPu

blic

0-

- 0

- -

WP

Labu

anPr

ivat

ena

- -

na-

- W

P La

buan

Tota

l0

00

00

0Sa

bah

& W

P La

buan

Publ

ic2

- -

2-

- Sa

bah

& W

P La

buan

Priv

ate

2-

- 2

- -

Saba

h &

WP

Labu

anTo

tal

4 2

6.44

1

1.76

4

24.

97

11.

23

28


Tabl

e 2.

2: N

umbe

r &

Den

sity

of T

otal

Mam

mog

raph

y Pe

rfor

med

, and

Num

ber

& P

erce

ntag

e of

Scr

eeni

ng M

amm

ogra

phy

Perf

orm

ed in

Acu

te C

urat

ive

Hos

pita

ls in

M

alay

sia

by S

tate

& S

ecto

r, 20

12-2

013

Abb

revi

atio

n: -

not

ava

ilabl

e; n

a- n

ot a

pplic

able

; PM

P- P

er M

illio

n Po

pula

tion

Sela

ngor

& W

P Pu

traj

aya

& W

PKL

are

also

col

lect

ivel

y re

ferr

ed to

as

Kla

ng V

alle

y.

* Pu

blic

sec

tor

refe

rs to

MO

H, U

nive

rsity

and

MO

D h

ospi

tals

.

For

popu

latio

n da

ta, p

leas

e re

fer A

ppen

dix

3: T

able

A3.

4

Stat

eSe

ctor

*

Tot

al M

amm

ogra

phy

Perf

orm

ed

Scre

enin

g M

amm

ogra

phy

Perf

orm

ed

2012

2013

2012

2013

Num

ber

Per

1,00

0 po

pula

tion

(wom

en a

ged

40-7

4 ye

ars)

Num

ber

Per

1,00

0 po

pula

tion

(wom

en a

ged

40-7

4 ye

ars)

Num

ber

Perc

enta

ge

out

of t

otal

m

amm

ogra

phy

perf

orm

ed (

%)

Num

ber

Perc

enta

ge

out

of t

otal

m

amm

ogra

phy

perf

orm

ed (

%)

Mal

aysi

aPu

blic

37,

765

-

40,

772

-

7,4

63

19.7

6 9

,109

22

.34

Mal

aysi

aPr

ivat

e 1

37,8

32

-

161

,302

-

1

03,4

51

75.0

6 1

23,6

24

76.6

4M

alay

sia

Tota

l 1

75,5

97

44.

38

202

,074

4

9.69

1

10,9

14

63.1

6 1

32,7

33

65.6

8Pe

rlis

Publ

ic 4

25

-

486

-

1

55

36.4

7 2

12

43.6

2Pe

rlis

Priv

ate

na

-

na

-

na

na

na

na

Perl

isTo

tal

425

1

1.49

4

86

13.

14

155

36

.47

212

43

.62

Keda

hPu

blic

1,8

51

-

2,0

14

-

863

46

.62

1,0

35

51.3

9Ke

dah

Priv

ate

7,6

23

-

9,1

19

-

5,5

38

72.6

5 6

,504

71

.32

Keda

hTo

tal

9,4

74

31.

26

11,

133

36.

03

6,4

01

67.5

6 7

,539

67

.72

Keda

h &

Per

lisPu

blic

2,2

76

-

2,5

00

-

1,0

18

44.7

3 1

,247

49

.88

Keda

h &

Per

lisPr

ivat

e 7

,623

-

9

,119

-

5

,538

72

.65

6,5

04

71.3

2Ke

dah

& P

erlis

Tota

l 9

,899

2

9.11

1

1,61

9 3

3.58

6

,556

66

.23

7,7

51

66.7

1Pu

lau

Pina

ngPu

blic

2,4

98

-

2,6

40

-

247

9.

89 2

76

10.4

5Pu

lau

Pina

ngPr

ivat

e 2

1,11

8 -

1

8,59

0 -

1

6,20

5 76

.74

13,

217

71.1

0Pu

lau

Pina

ngTo

tal

23,

616

90.

62

21,

230

79.

42

16,

452

69.6

6 1

3,49

3 63

.56

Pera

kPu

blic

3,0

18

-

3,2

22

-

424

14

.03

449

13

.94

Pera

kPr

ivat

e 8

,081

-

1

1,15

9 -

6

,919

85

.62

9,3

94

84.1

8Pe

rak

Tota

l 1

1,09

9 2

8.21

1

4,38

1 3

6.21

7

,343

66

.15

9,8

43

68.4

4Se

lang

orPu

blic

5,4

80

-

6,5

03

-

1,6

15

29.4

7 2

,114

32

.51

Sela

ngor

Priv

ate

19,

327

-

26,

191

-

12,

530

64.8

3 1

7,43

1 66

.55

Sela

ngor

Tota

l 2

4,80

7 3

5.34

3

2,69

4 4

4.68

1

4,14

5 57

.02

19,

545

59.7

8W

P Pu

traj

aya

Publ

ic 1

,141

-

1

,251

-

3

60

31.5

5 4

00

31.9

7W

P Pu

traj

aya

Priv

ate

na

-

na

-

na

na

na

na

WP

Putr

ajay

aTo

tal

1,1

41

184

.03

1,2

51

189

.55

360

31

.55

400

31

.97

WPK

LPu

blic

10,

192

-

9,8

16

-

1,0

61

10.4

1 1

,174

11

.96

WPK

LPr

ivat

e 2

6,95

5 -

3

1,28

3 -

1

9,80

0 73

.46

23,

728

75.8

5W

PKL

Tota

l 3

7,14

7 1

49.0

1 4

1,09

9 1

60.1

0 2

0,86

1 56

.16

24,

902

60.5

9Se

lang

or &

WP

Putr

ajay

a &

WPK

LPu

blic

16,

813

-

17,

570

-

3,0

36

18.0

6 3

,688

20

.99

Sela

ngor

& W

P Pu

traj

aya

& W

PKL

Priv

ate

46,

282

-

57,

474

-

32,

330

69.8

6 4

1,15

9 71

.61

Sela

ngor

& W

P Pu

traj

aya

& W

PKL

Tota

l 6

3,09

5 6

1.89

7

5,04

4 7

5.42

3

5,36

6 56

.05

44,

847

59.7

6

29

CHAP

TER

2: H

OSPI

TAL

MED

ICAL

DEV

ICE

(MAM

MOG

RAM

MAC

HINE

)


Tabl

e 2.

2 [c

onti

nued

]: N

umbe

r &

Den

sity

of T

otal

Mam

mog

raph

y Pe

rfor

med

, and

Num

ber

& P

erce

ntag

e of

Scr

eeni

ng M

amm

ogra

phy

Perf

orm

ed in

Acu

te C

urat

ive

Hos

pita

ls in

Mal

aysi

a by

Sta

te &

Sec

tor,

2012

-201

3

Abb

revi

atio

n: -

not

ava

ilabl

e; n

a- n

ot a

pplic

able

; PM

P- P

er M

illio

n Po

pula

tion

Sela

ngor

& W

P Pu

traj

aya

& W

PKL

are

also

col

lect

ivel

y re

ferr

ed to

as

Kla

ng V

alle

y.

* Pu

blic

sec

tor

refe

rs to

MO

H, U

nive

rsity

and

MO

D h

ospi

tals

.

For

popu

latio

n da

ta, p

leas

e re

fer A

ppen

dix

3: T

able

A3.

4

Stat

eSe

ctor

*

Tot

al M

amm

ogra

phy

Perf

orm

ed

Scre

enin

g M

amm

ogra

phy

Perf

orm

ed

2012

2013

2012

2013

Num

ber

Per

1,00

0 po

pula

tion

(wom

en a

ged

40-7

4 ye

ars)

Num

ber

Per

1,00

0 po

pula

tion

(wom

en a

ged

40-7

4 ye

ars)

Num

ber

Perc

enta

ge

out

of t

otal

m

amm

ogra

phy

perf

orm

ed (

%)

Num

ber

Perc

enta

ge

out

of t

otal

m

amm

ogra

phy

perf

orm

ed (

%)

Neg

eri S

embi

lan

Publ

ic 1

,628

-

1

,686

-

2

60

15.9

6 3

36

19.9

1N

eger

i Sem

bila

nPr

ivat

e 9

,055

-

8

,299

-

8

,477

93

.62

7,2

89

87.8

3N

eger

i Sem

bila

nTo

tal

10,

683

68.

53

9,9

85

62.

80

8,7

37

81.7

8 7

,625

76

.36

Mel

aka

Publ

ic 1

,368

-

1

,445

-

3

56

26.0

2 3

27

22.6

3M

elak

aPr

ivat

e 7

,844

-

1

1,57

9 -

4

,577

58

.35

8,5

14

73.5

3M

elak

aTo

tal

9,2

12

72.

25

13,

024

100

.49

4,9

33

53.5

5 8

,841

67

.88

Joho

rPu

blic

3,2

56

-

3,6

11

-

335

10

.30

365

10

.12

Joho

rPr

ivat

e 1

3,05

8 -

2

0,29

0 -

8

,188

62

.71

14,

616

72.0

3Jo

hor

Tota

l 1

6,31

4 3

4.56

2

3,90

1 4

9.26

8

,523

52

.25

14,

981

62.6

8Pa

hang

Publ

ic 1

,268

-

1

,408

-

3

40

26.8

1 4

42

31.3

9Pa

hang

Priv

ate

5,2

15

-

6,5

97

-

5,1

02

97.8

3 6

,475

98

.15

Paha

ngTo

tal

6,4

83

32.

14

8,0

05

38.

84

5,4

42

83.9

4 6

,917

86

.41

Tere

ngga

nuPu

blic

1,2

64

-

1,4

91

-

899

71

.12

1,1

60

77.8

0Te

reng

ganu

Priv

ate

47

-

444

-

-

-

-

-

Te

reng

ganu

Tota

l 1

,311

9

.49

1,9

35

13.

73

899

68

.57

1,1

60

59.9

5Ke

lant

anPu

blic

573

-

1

,126

-

1

02

17.7

8 3

74

33.2

0Ke

lant

anPr

ivat

e 2

64

-

907

-

1

37

51.8

9 7

33

80.8

2Ke

lant

anTo

tal

837

3

.63

2,0

33

8.6

6 2

39

28.5

4 1

,107

54

.44

Sara

wak

Publ

ic 3

,418

-

3

,683

-

3

57

10.4

4 3

73

10.1

3Sa

raw

akPr

ivat

e 1

6,21

2 -

1

4,05

9 -

1

3,72

4 84

.65

13,

662

97.1

7Sa

raw

akTo

tal

19,

630

57.

79

17,

742

50.

74

14,

081

71.7

3 1

4,03

5 79

.11

Saba

hPu

blic

385

-

3

90

-

89

23.0

3 7

2 18

.46

Saba

hPr

ivat

e 3

,033

-

2

,785

-

2

,254

74

.31

2,0

61

73.9

9Sa

bah

Tota

l 3

,418

1

0.34

3

,175

9

.17

2,3

43

68.5

3 2

,133

67

.17

WP

Labu

anPu

blic

na

na

na

na

na

na

na

na

WP

Labu

anPr

ivat

e n

a n

a n

a n

a n

a n

a n

a n

a W

P La

buan

Tota

l n

a n

a n

a n

a n

a n

a n

a n

a Sa

bah

& W

P La

buan

Publ

ic 3

85

-

390

-

8

9 23

.03

72

18.4

6Sa

bah

& W

P La

buan

Priv

ate

3,0

33

-

2,7

85

-

2,2

54

74.3

1 2

,061

73

.99

Saba

h &

WP

Labu

anTo

tal

3,4

18

10.

05

3,1

75

8.9

1 2

,343

68

.53

2,1

33

67.1

7

30


Tabl

e 2.

3: E

stim

ated

Num

ber

& D

ensi

ty o

f Scr

eeni

ng M

amm

ogra

phy

Perf

orm

ed fo

r W

omen

Age

d 40

-74

Year

s, in

Acu

te C

urat

ive

Hos

pita

ls in

Mal

aysi

a by

Sta

te, 2

012

‡

Abb

revi

atio

n: -

not

ava

ilabl

e; n

a- n

ot a

pplic

able

Se

lang

or &

WP

Putr

ajay

a &

WPK

L ar

e al

so c

olle

ctiv

ely

refe

rred

to a

s K

lang

Val

ley.

*Ref

ers

to th

e to

tal n

umbe

r of

scr

eeni

ng m

amm

ogra

phy

as c

aptu

red

via

the

NH

EWS

(Hos

pita

l) 20

12-2

013

surv

ey.

‡

Ref

ers

to th

e es

timat

ed n

umbe

r of

scr

eeni

ng m

amm

ogra

phy

perf

orm

ed o

n w

omen

of t

he r

espe

ctiv

e ag

e gr

oups

, out

of t

he th

e to

tal s

cree

ning

mam

mog

raph

y; h

avin

g ap

plie

d th

e pr

opor

tion

obse

rved

in th

e N

HM

S 20

11 (p

leas

e re

fer

to th

e te

xt fo

r fu

rthe

r de

scri

ptio

n).

For

popu

latio

n da

ta, p

leas

e re

fer A

ppen

dix

3: T

able

A3.

4 un

til T

able

A3.

11

Stat

e

Scre

enin

g M

amm

ogra

phy

Perf

orm

ed, 2

012

Number*

Age

Gro

up o

f Fem

ale

Popu

lati

on

40-7

4 ye

ars

40-4

4 ye

ars

45-4

9 ye

ars

50-5

4 ye

ars

55-5

9 ye

ars

60-6

4 ye

ars

65-6

9 ye

ars

70-7

4 ye

ars

Estimated number in female population ‡

Per 1,000 female population















Mal

aysi

a11

0,91

4 10

9,02

8 2

7.55

30

,169

3

3.27

26

,730

3

2.75

23

,736

3

3.64

12

,533

2

2.06

6,

211

14.

05

2,8

84

9.5

0 6,

766

31.

50

Perl

is 1

55

152

4.1

2 42

6

.02

37

5.1

2 33

4

.95

18

3.0

2 9

1.8

9 4

1

.26

9 3

.94

Keda

h 6

,401

6,

292

20.

76

1,74

1 2

7.42

1,

543

25.

67

1,37

0 2

5.00

72

3 1

5.56

35

8 1

0.10

1

66

7.0

2 39

0 2

0.55

Keda

h &

Per

lis 6

,556

6,

445

18.

95

1,78

3 2

5.29

1,

580

23.

44

1,40

3 2

2.81

74

1 1

4.17

36

7 9

.16

170

6

.34

400

18.

69

Pula

u Pi

nang

16,

452

16,1

72

62.

06

4,47

5 7

8.92

3,

965

78.

20

3,52

1 7

8.76

1,

859

48.

54

921

29.

06

428

1

9.01

1,

004

62.

72

Pera

k 7

,343

7,

218

18.

35

1,99

7 2

7.74

1,

770

24.

24

1,57

1 2

2.81

83

0 1

3.56

41

1 7

.79

191

5

.15

448

15.

77

Sela

ngor

14,

145

13,9

04

19.

81

3,84

7 2

0.84

3,

409

22.

38

3,02

7 2

4.69

1,

598

17.

30

792

10.

65

368

7

.82

863

30.

17

WP

Putr

ajay

a 3

60

354

57.

08

98

54.

40

87

57.

84

77

51.

36

41

45.

20

20

67.

20

9

93.

60

22

219.

60

WPK

L 2

0,86

1 20

,506

8

2.26

5,

674

90.

64

5,02

8 9

1.24

4,

464

105.

04

2,35

7 6

8.73

1,

168

45.

63

542

3

0.82

1,

273

109.

70

Sela

ngor

& W

P Pu

traj

aya

&

WPK

L 3

5,36

6 34

,765

3

4.10

9,

620

38.

63

8,52

3 4

0.80

7,

568

45.

43

3,99

6 3

1.32

1,

981

19.

75

920

1

4.21

2,

157

53.

53

Neg

eri S

embi

lan

8,7

37

8,58

9 5

5.09

2,

377

76.

66

2,10

6 6

8.37

1,

870

63.

38

987

39.

65

489

26.

45

227

1

8.77

53

3 5

8.57

Mel

aka

4,9

33

4,84

9 3

8.03

1,

342

49.

88

1,18

9 4

6.26

1,

056

47.

55

557

29.

97

276

17.

71

128

1

1.77

30

1 3

9.59

Joho

r 8

,523

8,

379

17.

75

2,31

8 2

1.45

2,

054

21.

40

1,82

4 2

1.71

96

3 1

3.90

47

7 8

.97

222

6

.21

520

20.

23

Paha

ng 5

,442

5,

349

26.

52

1,48

0 3

6.02

1,

312

32.

46

1,16

5 3

0.57

61

5 2

0.23

30

5 1

2.49

1

41

8.7

3 33

2 2

9.91

Tere

ngga

nu 8

99

884

6.4

0 24

5 8

.21

217

7.4

5 19

2 7

.40

102

5.0

8 50

3

.50

23

2.1

8 55

6

.77

Kela

ntan

239

23

5 1

.02

65

1.3

7 58

1

.23

51

1.1

9 27

0

.79

13

0.5

1 6

0

.32

15

1.0

7

Sara

wak

14,

081

13,8

41

40.

75

3,83

0 4

9.10

3,

393

49.

11

3,01

3 5

0.47

1,

591

32.

67

789

20.

92

366

1

3.41

85

9 4

4.74

Saba

h 2

,343

2,

303

6.9

6 63

7 6

.80

565

7.4

7 50

1 8

.41

265

6.3

8 13

1 4

.93

61

3.1

2 14

3 1

0.07

WP

Labu

an n

a n

a n

a n

a n

a n

a n

a n

a n

a n

a n

a n

a n

a n

a n

a n

a n

a

Saba

h &

WP

Labu

an 2

,343

2,

303

6.7

7 63

7 6

.61

565

7.2

5 50

1 8

.18

265

6.2

0 13

1 4

.81

61

3.0

5 14

3 9

.86

31

CHAP

TER

2: H

OSPI

TAL

MED

ICAL

DEV

ICE

(MAM

MOG

RAM

MAC

HINE

)


Tabl

e 2.

4: E

stim

ated

Num

ber

& D

ensi

ty o

f Scr

eeni

ng M

amm

ogra

phy

Perf

orm

ed fo

r W

omen

Age

d 40

-74

Year

s, in

Acu

te C

urat

ive

Hos

pita

ls in

Mal

aysi

a by

Sta

te, 2

013

‡

Abb

revi

atio

n: -

not

ava

ilabl

e; n

a- n

ot a

pplic

able

Se

lang

or &

WP

Putr

ajay

a &

WPK

L ar

e al

so c

olle

ctiv

ely

refe

rred

to a

s K

lang

Val

ley.

*Ref

ers

to th

e to

tal n

umbe

r of

scr

eeni

ng m

amm

ogra

phy

as c

aptu

red

via

the

NH

EWS

(Hos

pita

l) 20

12-2

013

surv

ey.

‡

Ref

ers

to th

e es

timat

ed n

umbe

r of

scr

eeni

ng m

amm

ogra

phy

perf

orm

ed o

n w

omen

of t

he r

espe

ctiv

e ag

e gr

oups

, out

of t

he th

e to

tal s

cree

ning

mam

mog

raph

y; h

avin

g ap

plie

d th

e pr

opor

tion

obse

rved

in th

e N

HM

S 20

11 (p

leas

e re

fer

to th

e te

xt fo

r fu

rthe

r de

scri

ptio

n).

For

popu

latio

n da

ta, p

leas

e re

fer A

ppen

dix

3: T

able

A3.

4 un

til T

able

A3.

11

Stat

e

Scre

enin

g M

amm

ogra

phy

Perf

orm

ed, 2

013

Number*

Age

Gro

up o

f Fem

ale

Popu

lati

on

40-7

4 ye

ars

40-4

4 ye

ars

45-4

9 ye

ars

50-5

4 ye

ars

55-5

9 ye

ars

60-6

4 ye

ars

65-6

9 ye

ars

70-7

4 ye

ars

Estimated number in female

population ‡



population ‡



population ‡



population ‡



population ‡



population ‡



population ‡



population ‡


Mal

aysi

a 1

32,7

33

130

,477

3

2.08

3

6,10

3 3

9.44

3

1,98

9 3

8.22

2

8,40

5 3

9.29

1

4,99

9 2

5.22

7

,433

1

6.30

3

,451

1

0.56

8

,097

3

7.80

Perl

is 2

12

208

5

.63

58

8.6

1 5

1 6

.90

45

6.7

7 2

4 4

.06

12

2.5

3 6

1

.67

13

5.6

2

Keda

h 7

,539

7

,411

2

3.98

2

,051

3

2.34

1

,817

2

9.69

1

,613

2

9.07

8

52

17.

60

422

1

1.38

1

96

7.7

5 4

60

25.

41

Keda

h &

Per

lis 7

,751

7

,619

2

2.02

2

,108

3

0.08

1

,868

2

7.23

1

,659

2

6.67

8

76

16.

13

434

1

0.38

2

02

7.0

5 4

73

23.

18

Pula

u Pi

nang

13,

493

13,

263

49.

62

3,6

70

63.

94

3,2

52

62.

41

2,8

87

63.

46

1,5

25

38.

60

756

2

3.25

3

51

14.

50

823

5

1.12

Pera

k 9

,843

9

,675

2

4.36

2

,677

3

8.03

2

,372

3

2.23

2

,106

3

0.35

1

,112

1

7.74

5

51

10.

30

256

6

.35

600

2

1.99

Sela

ngor

19,

545

19,

212

26.

26

5,3

16

27.

80

4,7

10

29.

81

4,1

83

32.

73

2,2

09

22.

58

1,0

94

14.

52

508

9

.55

1,1

92

42.

13

WP

Putr

ajay

a 4

00

393

5

9.58

1

09

57.

26

96

60.

25

86

57.

07

45

41.

09

22

74.

67

10

104

.00

24

244

.00

WPK

L 2

4,90

2 2

4,47

9 9

5.36

6

,773

1

11.7

7 6

,001

1

02.2

4 5

,329

1

21.9

5 2

,814

7

8.16

1

,395

5

2.03

6

47

34.

44

1,5

19

125

.54

Sela

ngor

& W

P Pu

traj

aya

& W

PKL

44,

847

44,

085

44.

31

12,

198

48.

08

10,

808

49.

51

9,5

97

55.

48

5,0

68

37.

57

2,5

11

24.

50

1,1

66

16.

17

2,7

36

67.

55

Neg

eri S

embi

lan

7,6

25

7,4

95

47.

14

2,0

74

66.

90

1,8

38

59.

66

1,6

32

54.

94

862

3

3.14

4

27

21.

90

198

1

5.13

4

65

52.

26

Mel

aka

8,8

41

8,6

91

67.

06

2,4

05

92.

14

2,1

31

80.

10

1,8

92

84.

09

999

5

1.76

4

95

31.

53

230

1

9.32

5

39

71.

91

Joho

r 1

4,98

1 1

4,72

7 3

0.35

4

,075

3

7.35

3

,611

3

6.51

3

,206

3

7.54

1

,693

2

3.35

8

39

15.

17

390

1

0.09

9

14

35.

98

Paha

ng 6

,917

6

,799

3

2.99

1

,881

4

5.12

1

,667

4

1.47

1

,480

3

8.15

7

82

24.

43

387

1

5.62

1

80

10.

05

422

3

9.43

Tere

ngga

nu 1

,160

1

,140

8

.09

316

1

0.59

2

80

9.5

7 2

48

9.3

0 1

31

6.1

8 6

5 4

.33

30

2.7

7 7

1 8

.74

Kela

ntan

1,1

07

1,0

88

4.6

4 3

01

6.4

1 2

67

5.6

6 2

37

5.4

0 1

25

3.4

7 6

2 2

.31

29

1.4

3 6

8 4

.89

Sara

wak

14,

035

13,

797

39.

45

3,8

18

48.

14

3,3

82

47.

84

3,0

04

48.

60

1,5

86

31.

72

786

2

0.05

3

65

12.

85

856

4

2.17

Saba

h 2

,133

2

,096

6

.05

580

5

.98

514

6

.54

456

7

.34

241

5

.34

119

4

.19

55

2.7

6 1

30

8.7

3

WP

Labu

an n

a n

a n

a n

a n

a n

a n

a n

a n

a n

a n

a n

a n

a n

a n

a n

a n

a

Saba

h &

WP

Labu

an 2

,133

2

,096

5

.89

580

5

.81

514

6

.35

456

7

.13

241

5

.20

119

4

.08

55

2.6

9 1

30

8.5

6

Chapter 3 :

Hospital Activities

34


CHAPTER 3 | HOSPITAL ACTIVITIESInpatient Activities

There were around 3.5 million hospital admissions per year in 2012 and 2013 each. The number of hospital admissions observed an increasing pattern over time; although the increase between 2011 and 2012 was higher (4.7%) than the increase between 2012 and 2013 (2.3%). Hospital admission density observed an overall increase of 1.1% between 2012 and 2013 (117.94 to 119.23 per 1,000 population). Terengganu, Kelantan, Negeri Sembilan, and Johor saw the highest increase (4.5%-5.8%) of admissions per population. However seven states showed a decreasing pattern of admission density (Perlis, Kedah, Pulau Pinang, Perak, WP Putrajaya, Melaka, and Sarawak). Admissions to the public hospitals held a proportion of 72.3% out of total admissions in 2011. In subsequent years, the proportion dropped to 70.9% in 2012, and 70.8% in 2013. Generally, the public hospitals experienced 2.5 times more admissions per day than the private hospitals. [Table 3.1]

Mean average length of stay (ALOS) over the past three years has maintained at 3.5 days. Overall, ALOS was a day longer in the public hospitals (3.8 days) than in the private hospitals (2.8 days). Top three states with the longest mean ALOS were WP Putrajaya (4.4 days), WP Kuala Lumpur (4.2 days), and Sarawak (3.9 days); main contribution being from the public hospitals in each state i.e. 4.4 days, 4.9 days, and 4.2 days respectively [Table 3.2]. As would be expected, specialist hospitals recorded the longest mean ALOS (around 3.6 days) while maternity centres recorded the shortest mean ALOS (around 2.3 days) [Table 3.3].

On average, bed occupancy rate (BOR) during 2011-2013 period remained at 67%-68%. Over the time frame of 2012-2013, the public hospitals had an increase of 0.6% in mean BOR, while the private hospitals showed an increase of 2.3%. Between 2012 and 2013, three states had the highest increment of mean BOR: Negeri Sembilan (6.9%), Pahang (6.0%), and Terengganu (5.4%). The remaining states observed an increase of mean BOR ranging from 0.2% to 2.7% [Table 3.2]. Specialist hospitals especially from the public sector had the highest mean BOR compared with other hospital types. An interesting observation is that mean BOR of public specialist hospitals remained almost unchanged over time (2011-2013) while that of public non-specialist hospitals demonstrated a decreasing pattern. Once again, we highlight the finding of underutilisation of public non-specialist hospitals; reiterating our past reports. Kedah tops the list with the highest public specialist hospitals mean BOR for both 2012 (88.1%) and 2013 (90.1%). Public specialist hospitals of five other states (Pulau Pinang, Selangor, Melaka, Johor, and Terengganu) also observed mean BORs above national average for two consecutive years (2012-2013). [Table 3.4]

Overall turnover interval (TOI) remained unchanged (around 1.7 days) for the past three years. Mean TOI for the public hospitals was shorter (around 1.6 days) compared with the private hospitals (around 2.0 days) [Table 3.2]. This reflects on the higher number of admissions, and longer ALOS in the public hospitals. Among the three hospital categories, maternity centres had the longest mean TOI (3.5 days in 2012, and 4.5 days in 2013) compared with non-specialist hospitals (about 3 days), and specialist hospitals (about 1.5 days). Public specialist hospitals of six states recorded mean TOIs below national average for both 2012 and 2013 (Perlis, Kedah, Pulau Pinang, Selangor, Johor, and Terengganu) [Table 3.5]. Consistently, five out of those six states also recorded mean BORs above national average.

Outpatient Activities

Under this section of hospital activity, we gathered data on total visits per year in different hospital outpatient settings: emergency department (ED), general outpatient department (OPD), and specialist clinic. Overall, outpatient activities surpassed inpatient activities ninefold in 2012 and 2013. The year 2012 and 2013 each reported a total of 32-33 million hospital outpatient visits per year. We observed that in both years, nearly half (49%) of all hospital outpatient visits were made to the specialist clinics. The remaining half showed a slightly higher proportion of ED visits (28%) over

35

CHAP

TER

3: H

OSPI

TAL A

CTIV

ITIE

S


general OPD visits (23%). Such observation may be explained by follow-up visits. Although EDs and general OPDs do see patients repeatedly for similar bouts of illness (e.g. for a repeat full blood count in dengue fever); follow-up visits for chronic diseases are unique to specialist clinics, hence may be the contributory factor to the larger volume of outpatient visits received by such a setting. Nonetheless, we saw an apparent strain on public hospital EDs and general OPDs for both 2012 and 2013, in that most ED visits (81.5-82.9%) and general OPD visits (72.4-73.6%) occurred in the public hospitals. However, sector distribution of specialist clinic visits showed that both public and private hospitals shared almost equal proportions i.e. around 53.0% versus 47.0%. Over the two-year duration, general OPD visits increased the highest (2.6%), followed by ED visits (2.3%), and then specialist clinic visits (1.6%). [Table 3.6]

With regards to ratio of ED visits to population; Pulau Pinang, WP Labuan, and Negeri Sembilan topped the list with about 400-525 visits per 1,000 population for both years. Meanwhile, the states with bottom three ED visits were Sarawak, Terengganu, and Sabah with around 240-260 visits per 1,000 population. We noted WP Putrajaya to have an outlier value of about 780 ED visits per 1,000 population although the federal territory had only one ED in its sole hospital. An explanation to this is that the proximity of the three states (Selangor, WP Putrajaya, and WP Kuala Lumpur) that make up the central region of Peninsular Malaysia may lead to WP Putrajaya covering a population much larger than its own. Accounting for this factor, we demonstrated that ED visits per 1,000 population in the central region amounted to 310-320 i.e. close to national average of 310-315. However our data highlights that mismatch of resources and utilisation may be a concern in WP Putrajaya. [Table 3.6]

National average of general-OPD-visits-to-population was around 250 per 1,000 population for 2012 and 2013. The top three visits per 1,000 population (ranging 330-500) were observed in Perak, Pulau Pinang, and Sarawak [Table 3.6]. Most of these general OPD visits occurred in the public hospitals as most private hospitals did not offer general OPD service. Some public hospitals also did not provide general OPD service e.g seven out of 11 public hospitals in Johor; and all public hospitals in Perlis, WP Putrajaya, and WP Labuan. Nonetheless, such a service was available in public primary care centres, although such output is not captured in this survey.

Overall, the number of specialist clinic visits was higher in the public hospitals than the private hospitals. However the private hospitals received a larger share of visits compared to the public hospitals in Pulau Pinang, Melaka, and the collective states of Selangor, WP Putrajaya and WP Kuala Lumpur. These states also saw the highest specialist clinic visits per 1,000 population. [Table 3.6]

We attempted to illustrate specialist clinic visits by the breakdown of specialties but can only do so for the public hospitals [Table 3.7 and Table 3.8]. Private hospitals were unable to provide such data. We found that a miscellaneous group of subspecialty clinics (e.g. nephrology, respiratory, urology, neurology etc) made up 31.0% of the public specialist clinic visits. Discounting this, we observed that general medicine, orthopaedic and ophthalmology clinics made up the largest proportion of public specialist clinic visits i.e. 19.0%, 15.0%, and 15.0% respectively. General surgery and O&G clinics had equal share of 12.0%, followed by ENT clinic at 9.0%. Paediatric and psychiatry clinics each contributed 8.0%, while oncology clinic had the smallest share (2.0%) of all public specialist clinic visits.

Limitation:

1. Only interstate comparison is made available, and this does not necessarily reflect the intrastate scenario. A state that fared lesser than the national average may have some hospitals performing on par with said average, and vice versa.

2. Interpretation of activities-to-population ratio should be made with caution as service provision in one state is utilised not exclusively by its population, rather may also cater to other population. A case in point is WP Putrajaya, as we have discussed earlier.

3. A large proportion of private hospitals does not record breakdown of specialist clinic visits by specialty, therefore this data could not be captured.

36


Stat

eSe

ctor

*

Adm

issi

ons

2011

2012

2013

Number

per 1,000 population

Rate per Day

Number


Rate per Day

Number


Rate per Day

Mal

aysi

aPu

blic

2,3

82,5

40

- 6

,523

.04

2,4

54,6

98

- 6

,720

.60

2,5

07,1

51

- 6

,864

.21

Mal

aysi

aPr

ivat

e91

4,77

8-

2,5

04.5

2 1

,005

,270

-

2,7

52.2

8 1

,035

,846

-

2,8

35.9

9 M

alay

sia

Tota

l3,

297,

318

113

.84

9,0

27.5

6 3

,459

,968

1

17.9

4 9

,472

.88

3,5

42,9

97

119

.23

9,7

00.2

0 Pe

rlis

Publ

ic 2

9,72

1 -

81.

37

32,

653

- 8

9.40

3

1,32

4 -

85.

76

Perl

isPr

ivat

e n

a -

na

-

na

-

na

- n

a Pe

rlis

Tota

l 2

9,72

1 1

25.1

4 8

1.37

3

2,65

3 1

36.4

0 8

9.40

3

1,32

4 1

29.7

6 8

5.76

Ke

dah

Publ

ic 1

86,1

24

- 5

09.5

8 1

91,9

32

- 5

25.4

8 1

92,1

69

- 5

26.1

3 Ke

dah

Priv

ate

44,

620

- 1

22.1

6 4

3,79

7 -

119

.91

43,

639

- 1

19.4

8 Ke

dah

Tota

l 2

30,7

44

116

.94

631

.74

235

,729

1

18.0

5 6

45.3

9 2

35,8

08

116

.67

645

.61

Keda

h &

Per

lisPu

blic

215

,845

-

590

.95

224

,585

-

614

.88

223

,493

-

611

.89

Keda

h &

Per

lisPr

ivat

e 4

4,62

0 -

122

.16

43,

797

- 1

19.9

1 4

3,63

9 -

119

.48

Keda

h &

Per

lisTo

tal

260

,465

1

17.8

3 7

13.1

1 2

68,3

82

120

.02

734

.79

267

,132

1

18.0

7 7

31.3

7 Pu

lau

Pina

ngPu

blic

140

,929

-

385

.84

137

,875

-

377

.48

131

,812

-

360

.88

Pula

u Pi

nang

Priv

ate

119

,272

-

326

.55

158

,225

-

433

.20

147

,822

-

404

.72

Pula

u Pi

nang

Tota

l 2

60,2

01

163

.28

712

.39

296

,100

1

83.7

9 8

10.6

8 2

79,6

34

171

.72

765

.60

Pera

kPu

blic

224

,969

-

615

.93

229

,786

-

629

.12

226

,838

-

621

.05

Pera

kPr

ivat

e 5

9,52

7 -

162

.97

81,

442

- 2

22.9

7 8

4,61

2 -

231

.65

Pera

kTo

tal

284

,496

1

18.6

6 7

78.9

1 3

11,2

28

128

.78

852

.09

311

,450

1

27.8

3 8

52.7

0 Se

lang

orPu

blic

310

,249

-

849

.42

326

,322

-

893

.42

331

,260

-

906

.94

Sela

ngor

Priv

ate

244

,568

-

669

.59

259

,585

-

710

.71

275

,995

-

755

.63

Sela

ngor

Tota

l 5

54,8

17

99.

48

1,5

19.0

1 5

85,9

07

103

.69

1,6

04.1

3 6

07,2

55

106

.07

1,6

62.5

7 W

P Pu

traj

aya

Publ

ic 2

4,47

6 -

67.

01

25,

112

- 6

8.75

2

4,60

6 -

67.

37

WP

Putr

ajay

aPr

ivat

e n

a -

na

na

- n

a n

a -

na

WP

Putr

ajay

aTo

tal

24,

476

320

.37

67.

01

25,

112

316

.27

68.

75

24,

606

298

.25

67.

37

WP

Kual

a Lu

mpu

rPu

blic

205

,994

-

563

.98

214

,347

-

586

.85

215

,736

-

590

.65

WP

Kual

a Lu

mpu

rPr

ivat

e 1

77,2

91

- 4

85.4

0 1

67,4

45

- 4

58.4

4 1

74,7

78

- 4

78.5

2 W

P Ku

ala

Lum

pur

Tota

l 3

83,2

85

226

.19

1,0

49.3

8 3

81,7

92

222

.83

1,0

45.2

9 3

90,5

14

225

.47

1,0

69.1

7 Se

lang

or &

WP

Putr

ajay

a &

WP

Kual

a Lu

mpu

rPu

blic

540

,719

-

1,4

80.4

1 5

65,7

81

- 1

,549

.02

571

,602

-

1,5

64.9

6 Se

lang

or &

WP

Putr

ajay

a &

WP

Kual

a Lu

mpu

rPr

ivat

e 4

21,8

59

- 1

,154

.99

427

,030

-

1,1

69.1

5 4

50,7

73

- 1

,234

.15

Sela

ngor

& W

P Pu

traj

aya

& W

P Ku

ala

Lum

pur

Tota

l 9

62,5

78

130

.99

2,6

35.4

0 9

92,8

11

133

.38

2,7

18.1

7 1

,022

,375

1

35.6

0 2

,799

.11

Tabl

e 3.

1: N

umbe

r &

Den

sity

of A

dmis

sion

s, a

nd R

ate

of A

dmis

sion

Per

Day

in A

cute

Cur

ativ

e H

ospi

tals

in M

alay

sia

by S

tate

& S

ecto

r, 20

11-2

013

Abb

revi

atio

n: -

not

ava

ilabl

e; n

a -

not a

pplic

able

Sela

ngor

& W

P Pu

traj

aya

& W

PKL

are

also

col

lect

ivel

y re

ferr

ed to

as

Kla

ng V

alle

y.

*

Publ

ic s

ecto

r in

201

1 re

fers

to M

OH

and

Uni

vers

ity h

ospi

tals

, whi

le p

ublic

sec

tor

in 2

012

& 2

013

refe

rs to

MO

H, U

nive

rsity

, and

MO

D h

ospi

tals

.

Fo

r po

pula

tion

data

, ple

ase

refe

r App

endi

x 3:

Tab

le A

3.1

37

CHAP

TER

3: H

OSPI

TAL A

CTIV

ITIE

S


Tabl

e 3.

1 [c

onti

nued

]: N

umbe

r &

Den

sity

of A

dmis

sion

s, a

nd R

ate

of A

dmis

sion

Per

Day

in A

cute

Cur

ativ

e H

ospi

tals

in M

alay

sia

by S

tate

& S

ecto

r, 20

11-2

013

Stat

eSe

ctor

*

Adm

issi

ons

2011

2012

2013

Number


Rate per Day

Number


Rate per Day

Number


Rate per Day

Neg

eri S

embi

lan

Publ

ic 1

03,0

34

- 2

82.0

9 1

01,2

62

- 2

77.2

4 1

05,0

81

- 2

87.7

0 N

eger

i Sem

bila

nPr

ivat

e 4

6,97

7 -

128

.62

49,

678

- 1

36.0

1 5

5,50

6 -

151

.97

Neg

eri S

embi

lan

Tota

l 1

50,0

11

143

.84

410

.71

150

,940

1

42.9

0 4

13.2

5 1

60,5

87

150

.07

439

.66

Mel

aka

Publ

ic 7

9,44

1 -

217

.50

85,

844

- 2

35.0

3 8

6,88

9 -

237

.89

Mel

aka

Priv

ate

52,

399

- 1

43.4

6 5

8,50

5 -

160

.18

59,

016

- 1

61.5

8 M

elak

aTo

tal

131

,840

1

58.2

7 3

60.9

6 1

44,3

49

171

.33

395

.21

145

,905

1

71.1

7 3

99.4

7 Jo

hor

Publ

ic 2

81,3

88

- 7

70.4

0 2

85,2

78

- 7

81.0

5 3

00,5

48

- 8

22.8

6 Jo

hor

Priv

ate

91,

507

- 2

50.5

3 1

03,1

90

- 2

82.5

2 1

10,5

37

- 3

02.6

3 Jo

hor

Tota

l 3

72,8

95

109

.62

1,0

20.9

3 3

88,4

68

112

.94

1,0

63.5

7 4

11,0

85

118

.22

1,1

25.4

9 Pa

hang

Publ

ic 1

29,5

37

- 3

54.6

5 1

36,6

02

- 3

74.0

0 1

43,3

82

- 3

92.5

6 Pa

hang

Priv

ate

18,

147

- 4

9.68

1

9,65

2 -

53.

80

20,

269

- 5

5.49

Pa

hang

Tota

l 1

47,6

84

96.

85

404

.34

156

,254

1

00.9

1 4

27.8

0 1

63,6

51

104

.06

448

.05

Tere

ngga

nuPu

blic

110

,374

-

302

.19

115

,732

-

316

.86

124

,750

-

341

.55

Tere

ngga

nuPr

ivat

e 2

,774

-

7.5

9 3

,095

-

8.4

7 3

,647

-

9.9

8 Te

reng

ganu

Tota

l 1

13,1

48

105

.35

309

.78

118

,827

1

08.7

3 3

25.3

3 1

28,3

97

115

.41

351

.53

Kela

ntan

Publ

ic 1

51,1

02

- 4

13.6

9 1

55,6

42

- 4

26.1

2 1

65,6

15

- 4

53.4

3 Ke

lant

anPr

ivat

e 1

4,61

1 -

40.

00

15,

425

- 4

2.23

1

6,85

1 -

46.

14

Kela

ntan

Tota

l 1

65,7

13

102

.60

453

.70

171

,067

1

04.2

8 4

68.3

6 1

82,4

66

109

.53

499

.56

Sara

wak

Publ

ic 1

73,4

83

- 4

74.9

7 1

85,2

54

- 5

07.2

0 1

87,0

35

- 5

12.0

7 Sa

raw

akPr

ivat

e 3

3,03

0 -

90.

43

34,

800

- 9

5.28

3

2,45

3 -

88.

85

Sara

wak

Tota

l 2

06,5

13

82.

07

565

.40

220

,054

8

6.44

6

02.4

8 2

19,4

88

85.

22

600

.92

Saba

hPu

blic

225

,512

-

617

.42

224

,711

-

615

.23

233

,636

-

639

.66

Saba

hPr

ivat

e 1

0,05

5 -

27.

53

10,

431

- 2

8.56

1

0,72

1 -

29.

35

Saba

hTo

tal

235

,567

7

1.03

6

44.9

5 2

35,1

42

69.

74

643

.78

244

,357

7

1.28

6

69.0

1 W

P La

buan

Publ

ic 6

,207

-

16.

99

6,3

46

- 1

7.37

6

,470

-

17.

71

WP

Labu

anPr

ivat

e n

a -

na

na

- n

a n

a -

na

WP

Labu

anTo

tal

6,2

07

69.

12

16.

99

6,3

46

69.

28

17.

37

6,4

70

69.

35

17.

71

Saba

h &

WP

Labu

anPu

blic

231

,719

-

634

.41

231

,057

-

632

.60

240

,106

-

657

.37

Saba

h &

WP

Labu

anPr

ivat

e 1

0,05

5 -

27.

53

10,

431

- 2

8.56

1

0,72

1 -

29.

35

Saba

h &

WP

Labu

anTo

tal

241

,774

7

0.98

6

61.9

4 2

41,4

88

69.

73

661

.16

250

,827

7

1.23

6

86.7

3

Abb

revi

atio

n: -

not

ava

ilabl

e; n

a -

not a

pplic

able

Sela

ngor

& W

P Pu

traj

aya

& W

PKL

are

also

col

lect

ivel

y re

ferr

ed to

as

Kla

ng V

alle

y.

*

Publ

ic s

ecto

r in

201

1 re

fers

to M

OH

and

Uni

vers

ity h

ospi

tals

, whi

le p

ublic

sec

tor

in 2

012

& 2

013

refe

rs to

MO

H, U

nive

rsity

, and

MO

D h

ospi

tals

.

Fo

r po

pula

tion

data

, ple

ase

refe

r App

endi

x 3:

Tab

le A

3.1

38


Tabl

e 3.

2: M

ean

of A

vera

ge L

engt

h of

Sta

y (A

LOS)

, Bed

Occ

upan

cy R

ate(

BO

R),

and

Tur

nove

r In

terv

al (

TOI)

in A

cute

Cur

ativ

e H

ospi

tals

in M

alay

sia

by S

tate

& S

ecto

r, 20

11-2

013

Stat

eSe

ctor

*M

ean

ALO

S (D

ays)

Mea

n B

OR

(%

)M

ean

TOI

(Day

s)

2011

2012

2013

2011

2012

2013

2011

2012

2013

Mal

aysi

aPu

blic

3.8

3.8

3.8

70.5

70.2

70.8

1.6

1.6

1.6

Mal

aysi

aPr

ivat

e2.

72.

72.

857

.256

.658

.92.

02.

11.

9

Mal

aysi

aTo

tal

3.53

3.48

3.52

67.1

266

.59

67.6

51.

731.

741.

68

Perl

isPu

blic

3.4

3.4

3.6

71.0

75.0

75.9

1.4

1.1

1.1

Perl

isPr

ivat

ena

nana

nana

nana

nana

Perl

isTo

tal

3.40

3.39

3.57

70.9

975

.05

75.9

11.

391.

131.

13

Keda

hPu

blic

3.5

3.5

3.6

77.4

78.0

80.7

1.0

1.0

0.9

Keda

hPr

ivat

e2.

62.

42.

560

.054

.557

.11.

82.

01.

9

Keda

hTo

tal

3.32

3.27

3.43

74.1

073

.64

76.3

31.

161.

171.

06

Keda

h &

Per

lisPu

blic

3.5

3.5

3.6

76.5

77.5

80.0

1.1

1.0

0.9

Keda

h &

Per

lisPr

ivat

e2.

62.

42.

560

.054

.557

.11.

82.

01.

9

Keda

h &

Per

lisTo

tal

3.33

3.29

3.45

73.7

373

.81

76.2

81.

191.

171.

07

Pula

u Pi

nang

Publ

ic4.

14.

24.

281

.380

.577

.50.

91.

01.

2

Pula

u Pi

nang

Priv

ate

3.2

3.2

3.3

61.0

70.3

65.4

2.0

1.4

1.7

Pula

u Pi

nang

Tota

l3.

673.

653.

6971

.87

75.3

571

.39

1.44

1.19

1.48

Pera

kPu

blic

3.4

3.5

3.5

63.5

62.0

60.7

2.0

2.1

2.3

Pera

kPr

ivat

e2.

82.

62.

658

.057

.560

.42.

01.

91.

7

Pera

kTo

tal

3.30

3.23

3.25

62.4

261

.01

60.6

01.

992.

072.

12

Sela

ngor

Publ

ic3.

83.

83.

875

.977

.979

.11.

21.

11.

0

Sela

ngor

Priv

ate

2.6

2.5

2.6

59.0

54.8

58.5

1.8

2.1

1.8

Sela

ngor

Tota

l3.

303.

223.

2668

.93

67.9

570

.24

1.49

1.52

1.38

WP

Putr

ajay

aPu

blic

4.2

3.9

4.4

101.

387

.081

.1-0

.10.

61.

0

WP

Putr

ajay

aPr

ivat

ena

nana

nana

nana

nana

WP

Putr

ajay

aTo

tal

4.20

3.92

4.44

101.

3187

.00

81.0

7-0

.05

0.59

1.04

WP

Kual

a Lu

mpu

rPu

blic

5.2

5.0

4.9

71.6

69.2

66.5

2.0

2.2

2.5

WP

Kual

a Lu

mpu

rPr

ivat

e3.

03.

13.

356

.949

.153

.32.

33.

32.

9

WP

Kual

a Lu

mpu

rTo

tal

4.18

4.20

4.22

65.9

061

.00

61.1

82.

162.

692.

68

Sela

ngor

& W

P Pu

traj

aya

& W

P Ku

ala

Lum

pur

Publ

ic4.

44.

34.

374

.774

.073

.11.

51.

51.

6

Sela

ngor

& W

P Pu

traj

aya

& W

P Ku

ala

Lum

pur

Priv

ate

2.8

2.8

2.9

58.0

52.1

56.0

2.0

2.5

2.2

Sela

ngor

& W

P Pu

traj

aya

& W

P Ku

ala

Lum

pur

Tota

l3.

673.

613.

6668

.15

65.0

366

.17

1.72

1.94

1.87

Abb

revi

atio

n: -

na

- no

t app

licab

leSe

lang

or &

WP

Putr

ajay

a &

WPK

L ar

e al

so c

olle

ctiv

ely

refe

rred

to a

s K

lang

Val

ley.

* Pu

blic

sec

tor

in 2

011

refe

rs to

MO

H a

nd U

nive

rsity

hos

pita

ls, w

hile

pub

lic s

ecto

r in

201

2 &

201

3 re

fers

to M

OH

, Uni

vers

ity, a

nd M

OD

hos

pita

ls.

39

CHAP

TER

3: H

OSPI

TAL A

CTIV

ITIE

S


Tabl

e 3.

2 [c

onti

nued

]: M

ean

of A

vera

ge L

engt

h of

Sta

y (A

LOS)

, Bed

Occ

upan

cy R

ate

(BO

R),

and

Tur

nove

r In

terv

al (

TOI)

in A

cute

Cur

ativ

e H

ospi

tals

in M

alay

sia

by

Stat

e &

Sec

tor,

2011

-201

3

Stat

eSe

ctor

*M

ean

ALO

S (D

ays)

Mea

n B

OR

(%

)M

ean

TOI

(Day

s)

2011

2012

2013

2011

2012

2013

2011

2012

2013

Neg

eri S

embi

lan

Publ

ic3.

53.

53.

866

.163

.470

.01.

82.

01.

6

Neg

eri S

embi

lan

Priv

ate

2.5

2.7

2.8

61.2

68.0

75.5

1.6

1.3

0.9

Neg

eri S

embi

lan

Tota

l3.

203.

273.

4364

.87

64.5

671

.49

1.74

1.80

1.37

Mel

aka

Publ

ic3.

84.

14.

183

.174

.873

.20.

81.

41.

5

Mel

aka

Priv

ate

2.7

2.7

2.8

53.8

63.3

65.4

2.3

1.5

1.5

Mel

aka

Tota

l3.

383.

523.

6170

.90

70.8

270

.55

1.39

1.45

1.51

Joho

rPu

blic

3.4

3.4

3.4

72.7

74.7

73.8

1.3

1.2

1.2

Joho

rPr

ivat

e2.

12.

02.

154

.948

.253

.81.

72.

21.

8

Joho

rTo

tal

3.07

3.04

3.03

68.9

368

.12

69.0

41.

381.

421.

36

Paha

ngPu

blic

3.9

3.5

3.8

71.4

66.0

72.3

1.6

1.8

1.4

Paha

ngPr

ivat

e3.

02.

82.

943

.754

.457

.93.

82.

32.

1

Paha

ngTo

tal

3.83

3.38

3.66

67.3

264

.57

70.5

61.

861.

851.

53

Tere

ngga

nuPu

blic

3.1

3.1

3.1

70.9

72.5

77.8

1.3

1.2

0.9

Tere

ngga

nuPr

ivat

e3.

03.

03.

069

.177

.190

.81.

30.

90.

3

Tere

ngga

nuTo

tal

3.14

3.07

3.05

70.8

872

.62

78.0

61.

291.

160.

86

Kela

ntan

Publ

ic4.

14.

03.

970

.069

.771

.41.

71.

81.

6

Kela

ntan

Priv

ate

2.5

2.5

2.4

63.0

64.2

66.0

1.5

1.4

1.2

Kela

ntan

Tota

l3.

933.

913.

7769

.59

69.3

571

.02

1.72

1.73

1.54

Sara

wak

Publ

ic4.

14.

24.

258

.463

.463

.42.

92.

42.

4

Sara

wak

Priv

ate

2.1

2.0

1.9

42.7

50.9

43.9

2.8

1.9

2.4

Sara

wak

Tota

l3.

763.

833.

8756

.56

62.1

661

.43

2.89

2.33

2.43

Saba

hPu

blic

3.9

3.7

3.8

64.2

63.1

64.3

2.2

2.2

2.1

Saba

hPr

ivat

e2.

82.

72.

749

.262

.461

.52.

91.

61.

7

Saba

hTo

tal

3.88

3.68

3.73

63.6

263

.08

64.1

62.

222.

162.

08

WP

Labu

anPu

blic

2.8

3.1

3.1

43.4

50.1

50.0

3.6

3.1

3.1

WP

Labu

anPr

ivat

ena

nana

nana

nana

nana

WP

Labu

anTo

tal

2.78

3.14

3.08

43.3

750

.14

50.0

53.

633.

133.

07

Saba

h &

WP

Labu

anPu

blic

3.9

3.7

3.8

63.6

62.7

63.9

2.2

2.2

2.1

Saba

h &

WP

Labu

anPr

ivat

e2.

82.

72.

749

.262

.461

.52.

91.

61.

7

Saba

h &

WP

Labu

anTo

tal

3.85

3.67

3.71

63.0

762

.72

63.7

82.

252.

182.

11

Abb

revi

atio

n: -

na

- no

t app

licab

leSe

lang

or &

WP

Putr

ajay

a &

WPK

L ar

e al

so c

olle

ctiv

ely

refe

rred

to a

s K

lang

Val

ley.

* Pu

blic

sec

tor

in 2

011

refe

rs to

MO

H a

nd U

nive

rsity

hos

pita

ls, w

hile

pub

lic s

ecto

r in

201

2 &

201

3 re

fers

to M

OH

, Uni

vers

ity, a

nd M

OD

hos

pita

ls.

40


Tabl

e 3.

3: M

ean

of A

vera

ge L

engt

h of

Sta

y (A

LOS)

in M

alay

sia

by C

ateg

orie

s of

Acu

te C

urat

ive

Hos

pita

ls, b

y St

ate

& S

ecto

r, 20

11-2

013

Stat

eSe

ctor

*

Mea

n A

LOS

(Day

s)

Spec

ialis

t H

ospi

tal

Non

Spe

cial

ist

Hos

pita

l M

ater

nity

Cen

tre

2011

2012

2013

2011

2012

2013

2011

2012

2013

Mal

aysi

aPu

blic

4.0

4 4

.00

4.0

6 2

.82

2.7

0 2

.70

na

na

na

Mal

aysi

aPr

ivat

e 2

.73

2.7

1 2

.77

1.0

0 1

.00

1.0

0 2

.41

2.2

1 2

.29

Mal

aysi

aTo

tal

3.6

4 3

.59

3.6

4 2

.82

2.7

0 2

.70

2.4

1 2

.21

2.2

9 Pe

rlis

Publ

ic 3

.40

3.3

9 3

.57

na

na

na

na

na

na

Perl

isPr

ivat

e n

a n

a n

a n

a n

a n

a n

a n

a n

a Pe

rlis

Tota

l 3

.40

3.3

9 3

.57

na

na

na

na

na

na

Keda

hPu

blic

3.7

2 3

.70

3.8

7 2

.39

2.4

1 2

.54

na

na

na

Keda

hPr

ivat

e 2

.67

2.4

2 2

.56

na

na

na

2.1

8 2

.05

2.0

3 Ke

dah

Tota

l 3

.49

3.4

3 3

.59

2.3

9 2

.41

2.5

4 2

.18

2.0

5 2

.03

Keda

h &

Per

lisPu

blic

3.6

6 3

.64

3.8

2 2

.39

2.4

1 2

.54

na

na

na

Keda

h &

Per

lisPr

ivat

e 2

.67

2.4

2 2

.56

na

na

na

2.1

8 2

.05

2.0

3 Ke

dah

& P

erlis

Tota

l 3

.48

3.4

2 3

.59

2.3

9 2

.41

2.5

4 2

.18

2.0

5 2

.03

Pula

u Pi

nang

Publ

ic 4

.14

4.1

6 4

.19

3.5

9 4

.01

4.0

0 n

a n

a n

a Pu

lau

Pina

ngPr

ivat

e 3

.24

3.2

8 3

.28

na

na

na

1.8

7 1

.92

2.1

6 Pu

lau

Pina

ngTo

tal

3.7

2 3

.68

3.7

0 3

.59

4.0

1 4

.00

1.8

7 1

.92

2.1

6 Pe

rak

Publ

ic 3

.66

3.7

1 3

.77

2.6

4 2

.59

2.5

5 n

a n

a n

a Pe

rak

Priv

ate

2.8

4 2

.62

2.6

5 n

a n

a n

a 1

.68

1.6

5 1

.64

Pera

kTo

tal

3.4

5 3

.37

3.4

1 2

.64

2.5

9 2

.55

1.6

8 1

.65

1.6

4 Se

lang

orPu

blic

3.8

4 3

.81

3.8

9 3

.51

3.0

6 3

.13

na

na

na

Sela

ngor

Priv

ate

2.6

1 2

.53

2.5

7 n

a n

a n

a 3

.23

2.5

6 2

.65

Sela

ngor

Tota

l 3

.29

3.2

4 3

.28

3.5

1 3

.06

3.1

3 3

.23

2.5

6 2

.65

WP

Putr

ajay

aPu

blic

4.2

0 3

.92

4.4

4 n

a n

a n

a n

a n

a n

a W

P Pu

traj

aya

Priv

ate

na

na

na

na

na

na

na

na

na

WP

Putr

ajay

aTo

tal

4.2

0 3

.92

4.4

4 n

a n

a n

a n

a n

a n

a W

P Ku

ala

Lum

pur

Publ

ic 5

.17

5.0

3 4

.95

na

na

na

na

na

na

WP

Kual

a Lu

mpu

rPr

ivat

e 3

.03

3.1

5 3

.33

na

na

na

2.4

1 3

.04

3.1

4 W

P Ku

ala

Lum

pur

Tota

l 4

.19

4.2

2 4

.23

na

na

na

2.4

1 3

.04

3.1

4 Se

lang

or &

WP

Putr

ajay

a &

WP

Kual

a Lu

mpu

rPu

blic

4.3

9 4

.29

4.3

3 3

.51

3.0

6 3

.13

na

na

na

Sela

ngor

& W

P Pu

traj

aya

& W

P Ku

ala

Lum

pur

Priv

ate

2.7

9 2

.77

2.8

6 n

a n

a n

a 3

.12

2.7

6 2

.80

Sela

ngor

& W

P Pu

traj

aya

& W

P Ku

ala

Lum

pur

Tota

l 3

.68

3.6

4 3

.68

3.5

1 3

.06

3.1

3 3

.12

2.7

6 2

.80

Abb

revi

atio

n: -

na

- no

t app

licab

leSe

lang

or &

WP

Putr

ajay

a &

WPK

L ar

e al

so c

olle

ctiv

ely

refe

rred

to a

s K

lang

Val

ley.

* Pu

blic

sec

tor

in 2

011

refe

rs to

MO

H a

nd U

nive

rsity

hos

pita

ls, w

hile

pub

lic s

ecto

r in

201

2 &

201

3 re

fers

to M

OH

, Uni

vers

ity, a

nd M

OD

hos

pita

ls.

41

CHAP

TER

3: H

OSPI

TAL A

CTIV

ITIE

S


Tabl

e 3.

3 [c

onti

nued

]: M

ean

of A

vera

ge L

engt

h of

Sta

y (A

LOS)

in M

alay

sia

by C

ateg

orie

s of

Acu

te C

urat

ive

Hos

pita

ls, b

y St

ate

& S

ecto

r, 20

11-2

013

Stat

eSe

ctor

*

Mea

n A

LOS

(Day

s)

Spec

ialis

t H

ospi

tal

Non

Spe

cial

ist

Hos

pita

l M

ater

nity

Cen

tre

2011

2012

2013

2011

2012

2013

2011

2012

2013

Neg

eri S

embi

lan

Publ

ic 3

.63

3.6

9 3

.93

3.0

2 2

.66

2.7

8 n

a n

a n

a N

eger

i Sem

bila

nPr

ivat

e 2

.46

2.7

5 2

.79

na

na

na

na

1.8

2 1

.79

Neg

eri S

embi

lan

Tota

l 3

.23

3.3

5 3

.50

3.0

2 2

.66

2.7

8 n

a 1

.82

1.7

9 M

elak

aPu

blic

3.9

3 4

.20

4.2

7 3

.05

3.1

3 2

.88

na

na

na

Mel

aka

Priv

ate

2.6

8 2

.67

2.8

5 n

a n

a n

a n

a n

a n

a M

elak

aTo

tal

3.4

0 3

.54

3.6

6 3

.05

3.1

3 2

.88

na

na

na

Joho

rPu

blic

3.5

8 3

.62

3.5

8 2

.38

2.3

1 2

.24

na

na

na

Joho

rPr

ivat

e 2

.15

2.0

2 2

.09

1.0

0 1

.00

1.0

0 1

.62

1.7

9 1

.89

Joho

rTo

tal

3.1

9 3

.17

3.1

5 2

.38

2.3

1 2

.24

1.6

2 1

.79

1.8

9 Pa

hang

Publ

ic 4

.29

3.6

7 4

.08

2.7

2 2

.71

2.6

8 n

a n

a n

a Pa

hang

Priv

ate

3.0

5 2

.83

2.9

2 n

a n

a n

a 1

.38

2.1

2 2

.23

Paha

ngTo

tal

4.1

1 3

.54

3.9

1 2

.72

2.7

1 2

.68

1.3

8 2

.12

2.2

3 Te

reng

ganu

Publ

ic 3

.31

3.3

6 3

.32

2.7

5 2

.29

2.3

6 n

a n

a n

a Te

reng

ganu

Priv

ate

3.0

0 3

.00

3.0

0 n

a n

a n

a n

a n

a n

a Te

reng

ganu

Tota

l 3

.30

3.3

4 3

.31

2.7

5 2

.29

2.3

6 n

a n

a n

a Ke

lant

anPu

blic

4.5

0 4

.48

4.3

1 2

.71

2.6

8 2

.72

na

na

na

Kela

ntan

Priv

ate

2.5

5 2

.49

2.4

1 n

a n

a n

a n

a n

a n

a Ke

lant

anTo

tal

4.2

8 4

.25

4.0

8 2

.71

2.6

8 2

.72

na

na

na

Sara

wak

Publ

ic 4

.33

4.4

5 4

.48

2.8

3 2

.79

2.8

4 n

a n

a n

a Sa

raw

akPr

ivat

e 2

.08

2.0

1 1

.87

na

na

na

7.6

1 1

.01

1.0

0 Sa

raw

akTo

tal

3.9

1 4

.01

4.0

4 2

.83

2.7

9 2

.84

7.6

1 1

.01

1.0

0 Sa

bah

Publ

ic 4

.31

4.1

0 4

.17

3.1

5 2

.98

2.9

7 n

a n

a n

a Sa

bah

Priv

ate

2.8

7 3

.11

3.1

2 n

a n

a n

a 2

.00

1.6

3 1

.49

Saba

hTo

tal

4.2

3 4

.05

4.1

2 3

.15

2.9

8 2

.97

2.0

0 1

.63

1.4

9 W

P La

buan

Publ

ic 2

.78

3.1

4 3

.08

na

na

na

na

na

na

WP

Labu

anPr

ivat

e n

a n

a n

a n

a n

a n

a n

a n

a n

a W

P La

buan

Tota

l 2

.78

3.1

4 3

.08

na

na

na

na

na

na

Saba

h &

WP

Labu

anPu

blic

4.2

5 4

.06

4.1

2 3

.15

2.9

8 2

.97

na

na

na

Saba

h &

WP

Labu

anPr

ivat

e 2

.87

3.1

1 3

.12

na

na

na

2.0

0 1

.63

1.4

9 Sa

bah

& W

P La

buan

Tota

l 4

.18

4.0

2 4

.08

3.1

5 2

.98

2.9

7 2

.00

1.6

3 1

.49

Abb

revi

atio

n: -

na

- no

t app

licab

leSe

lang

or &

WP

Putr

ajay

a &

WPK

L ar

e al

so c

olle

ctiv

ely

refe

rred

to a

s K

lang

Val

ley.

* Pu

blic

sec

tor

in 2

011

refe

rs to

MO

H a

nd U

nive

rsity

hos

pita

ls, w

hile

pub

lic s

ecto

r in

201

2 &

201

3 re

fers

to M

OH

, Uni

vers

ity, a

nd M

OD

hos

pita

ls.

42


Tabl

e 3.

4: M

ean

Bed

Occ

upan

cy R

ate(

BO

R)

in M

alay

sia

by C

ateg

orie

s of

Acu

te C

urat

ive

Hos

pita

ls, b

y St

ate

& S

ecto

r, 20

11-2

013

Stat

eSe

ctor

*

Mea

n B

OR

(%

)

Spec

ialis

t H

ospi

tal

Non

Spe

cial

ist

Hos

pita

l M

ater

nity

Cen

tre

2011

2012

2013

2011

2012

2013

2011

2012

2013

Mal

aysi

aPu

blic

74.

93

75.

41

75.

21

49.

03

45.

38

46.

71

na

na

na

Mal

aysi

aPr

ivat

e 5

9.07

5

8.34

6

1.02

0

.63

0.4

0 0

.33

29.

59

31.

48

27.

70

Mal

aysi

aTo

tal

70.

55

70.

45

71.

15

48.

64

45.

04

46.

32

32.

38

38.

52

33.

78

Perl

isPu

blic

70.

99

75.

05

75.

91

na

na

na

na

na

na

Perl

isPr

ivat

e n

a n

a n

a n

a n

a n

a n

a n

a n

a Pe

rlis

Tota

l 7

0.99

7

5.05

7

5.91

n

a n

a n

a n

a n

a n

a Ke

dah

Publ

ic 8

7.81

8

8.06

9

0.10

4

1.64

4

2.27

4

6.81

n

a n

a n

a Ke

dah

Priv

ate

63.

48

55.

76

58.

68

na

na

na

30.

97

32.

44

28.

93

Keda

hTo

tal

82.

64

81.

11

83.

37

41.

64

42.

27

46.

81

30.

97

32.

44

28.

93

Keda

h &

Per

lisPu

blic

84.

78

85.

70

87.

56

41.

64

42.

27

46.

81

na

na

na

Keda

h &

Per

lisPr

ivat

e 6

3.48

5

5.76

5

8.68

n

a n

a n

a 3

0.97

3

2.44

2

8.93

Ke

dah

& P

erlis

Tota

l 8

0.92

8

0.21

8

2.28

4

1.64

4

2.27

4

6.81

3

0.97

3

2.44

2

8.93

Pu

lau

Pina

ngPu

blic

83.

61

82.

49

79.

87

57.

85

60.

87

54.

03

na

na

na

Pula

u Pi

nang

Priv

ate

63.

05

72.

28

66.

95

na

na

na

32.

18

33.

45

28.

28

Pula

u Pi

nang

Tota

l 7

3.90

7

7.23

7

3.12

5

7.85

6

0.87

5

4.03

3

2.18

3

3.45

2

8.28

Pe

rak

Publ

ic 6

7.87

6

7.81

6

6.58

4

8.84

4

4.09

4

2.37

n

a n

a n

a Pe

rak

Priv

ate

59.

15

58.

23

61.

19

na

na

na

16.

26

19.

11

17.

87

Pera

kTo

tal

65.

85

65.

19

65.

13

48.

84

44.

09

42.

37

16.

26

19.

11

17.

87

Sela

ngor

Publ

ic 8

0.07

8

2.67

8

3.64

4

2.87

3

6.73

3

9.42

n

a n

a n

a Se

lang

orPr

ivat

e 6

0.22

5

6.47

6

0.34

n

a n

a n

a 4

3.61

3

1.47

3

2.81

Se

lang

orTo

tal

71.

69

71.

10

73.

41

42.

87

36.

73

39.

42

43.

61

31.

47

32.

81

WP

Putr

ajay

aPu

blic

101

.31

87.

00

54.

66

na

na

na

na

na

na

WP

Putr

ajay

aPr

ivat

e n

a n

a n

a n

a n

a n

a n

a n

a n

a W

P Pu

traj

aya

Tota

l 1

01.3

1 8

7.00

5

4.66

n

a n

a n

a n

a n

a n

a W

P Ku

ala

Lum

pur

Publ

ic 7

1.64

6

9.17

6

6.50

n

a n

a n

a n

a n

a n

a W

P Ku

ala

Lum

pur

Priv

ate

57.

69

49.

55

54.

46

na

na

na

20.

22

40.

69

29.

21

WP

Kual

a Lu

mpu

rTo

tal

66.

30

61.

39

61.

77

na

na

na

20.

22

40.

69

29.

21

Sela

ngor

& W

P Pu

traj

aya

& W

P Ku

ala

Lum

pur

Publ

ic 7

6.58

7

6.01

7

3.38

4

2.87

3

6.73

3

9.42

n

a n

a n

a Se

lang

or &

WP

Putr

ajay

a &

WP

Kual

a Lu

mpu

rPr

ivat

e 5

9.02

5

3.16

5

7.53

n

a n

a n

a 3

8.72

3

5.06

3

1.48

Se

lang

or &

WP

Putr

ajay

a &

WP

Kual

a Lu

mpu

rTo

tal

69.

66

66.

65

67.

03

42.

87

36.

73

39.

42

38.

72

35.

06

31.

48

Abb

revi

atio

n: -

na

- no

t app

licab

leSe

lang

or &

WP

Putr

ajay

a &

WPK

L ar

e al

so c

olle

ctiv

ely

refe

rred

to a

s K

lang

Val

ley.

* Pu

blic

sec

tor

in 2

011

refe

rs to

MO

H a

nd U

nive

rsity

hos

pita

ls, w

hile

pub

lic s

ecto

r in

201

2 &

201

3 re

fers

to M

OH

, Uni

vers

ity, a

nd M

OD

hos

pita

ls.

43

CHAP

TER

3: H

OSPI

TAL A

CTIV

ITIE

S


Tabl

e 3.

4 [c

onti

nued

]: M

ean

Bed

Occ

upan

cy R

ate

(BO

R)

in M

alay

sia

by C

ateg

orie

s of

Acu

te C

urat

ive

Hos

pita

ls, b

y St

ate

& S

ecto

r, 20

11-2

013

Stat

eSe

ctor

*

Mea

n B

OR

(%

)

Spec

ialis

t H

ospi

tal

Non

Spe

cial

ist

Hos

pita

l M

ater

nity

Cen

tre

2011

2012

2013

2011

2012

2013

2011

2012

2013

Neg

eri S

embi

lan

Publ

ic 7

0.07

6

9.24

7

7.48

4

7.44

3

7.90

3

7.90

n

a n

a n

a N

eger

i Sem

bila

nPr

ivat

e 6

1.24

6

8.46

7

6.04

n

a n

a n

a n

a 4

0.61

4

1.31

N

eger

i Sem

bila

nTo

tal

67.

48

69.

00

77.

04

47.

44

37.

90

37.

90

na

40.

61

41.

31

Mel

aka

Publ

ic 8

5.24

7

5.85

7

6.49

6

4.56

6

2.80

4

8.25

n

a n

a n

a M

elak

aPr

ivat

e 5

3.79

6

3.26

6

5.42

n

a n

a n

a n

a n

a n

a M

elak

aTo

tal

71.

32

71.

27

72.

36

64.

56

62.

80

48.

25

na

na

na

Joho

rPu

blic

74.

31

77.

36

76.

25

62.

84

58.

10

57.

26

na

na

na

Joho

rPr

ivat

e 6

5.03

5

4.65

6

2.93

0

.63

0.4

0 0

.33

16.

69

24.

75

20.

37

Joho

rTo

tal

72.

43

71.

96

73.

27

57.

03

53.

00

51.

70

16.

69

24.

75

20.

37

Paha

ngPu

blic

77.

40

69.

89

76.

61

49.

49

51.

87

55.

67

na

na

na

Paha

ngPr

ivat

e 4

6.66

5

7.77

6

1.47

n

a n

a n

a 1

1.04

2

0.25

2

1.40

Pa

hang

Tota

l 7

2.25

6

8.18

7

4.57

4

9.49

5

1.87

5

5.67

1

1.04

2

0.25

2

1.40

Te

reng

ganu

Publ

ic 7

6.26

8

3.07

8

7.19

5

8.57

4

8.09

5

5.91

n

a n

a n

a Te

reng

ganu

Priv

ate

69.

09

77.

09

90.

83

na

na

na

na

na

na

Tere

ngga

nuTo

tal

76.

02

82.

86

87.

32

58.

57

48.

09

55.

91

na

na

na

Kela

ntan

Publ

ic 7

2.44

7

4.11

7

4.32

5

9.96

5

3.01

6

0.15

n

a n

a n

a Ke

lant

anPr

ivat

e 6

2.99

6

4.20

6

5.96

n

a n

a n

a n

a n

a n

a Ke

lant

anTo

tal

71.

71

73.

34

73.

66

59.

96

53.

01

60.

15

na

na

na

Sara

wak

Publ

ic 6

5.00

7

1.81

7

1.71

3

3.73

3

3.00

3

2.23

n

a n

a n

a Sa

raw

akPr

ivat

e 4

4.01

5

3.01

4

5.45

n

a n

a n

a 2

0.29

7

.92

9.4

4 Sa

raw

akTo

tal

62.

07

69.

56

68.

62

33.

73

33.

00

32.

23

20.

29

7.9

2 9

.44

Saba

hPu

blic

73.

18

74.

01

73.

59

48.

19

44.

69

45.

82

na

na

na

Saba

hPr

ivat

e 5

2.64

6

6.53

6

9.88

n

a n

a n

a 2

2.74

4

8.59

3

7.61

Sa

bah

Tota

l 7

2.07

7

3.72

7

3.46

4

8.19

4

4.69

4

5.82

2

2.74

4

8.59

3

7.61

W

P La

buan

Publ

ic 4

3.37

5

0.14

5

0.05

n

a n

a n

a n

a n

a n

a W

P La

buan

Priv

ate

na

na

na

na

na

na

na

na

na

WP

Labu

anTo

tal

43.

37

50.

14

50.

05

na

na

na

na

na

na

Saba

h &

WP

Labu

anPu

blic

71.

90

72.

93

72.

59

48.

19

44.

69

45.

82

na

na

na

Saba

h &

WP

Labu

anPr

ivat

e 5

2.64

6

6.53

6

9.88

n

a n

a n

a 2

2.74

4

8.59

3

7.61

Sa

bah

& W

P La

buan

Tota

l 7

0.90

7

2.69

7

2.49

4

8.19

4

4.69

4

5.82

2

2.74

4

8.59

3

7.61

Abb

revi

atio

n: -

na

- no

t app

licab

leSe

lang

or &

WP

Putr

ajay

a &

WPK

L ar

e al

so c

olle

ctiv

ely

refe

rred

to a

s K

lang

Val

ley.

* Pu

blic

sec

tor

in 2

011

refe

rs to

MO

H a

nd U

nive

rsity

hos

pita

ls, w

hile

pub

lic s

ecto

r in

201

2 &

201

3 re

fers

to M

OH

, Uni

vers

ity, a

nd M

OD

hos

pita

ls.

44


Tabl

e 3.

5: M

ean

Turn

Ove

r In

terv

al (

TOI)

in M

alay

sia

by C

ateg

orie

s of

Acu

te C

urat

ive

Hos

pita

ls, b

y St

ate

& S

ecto

r, 20

11-2

013

Stat

eSe

ctor

*

Mea

n Tu

rnov

er I

nter

val (

Day

s)

Spec

ialis

t H

ospi

tal

Non

Spe

cial

ist

Hos

pita

l M

ater

nity

Cen

tre

2011

2012

2013

2011

2012

2013

2011

2012

2013

Mal

aysi

aPu

blic

1.35

1.31

1.34

2.93

3.25

3.08

nana

naM

alay

sia

Priv

ate

1.89

1.94

1.77

157.

7024

7.86

303.

175.

744.

815.

97M

alay

sia

Tota

l1.

521.

511.

482.

983.

293.

135.

043.

534.

48Pe

rlis

Publ

ic1.

391.

131.

13na

nana

nana

naPe

rlis

Priv

ate

nana

nana

nana

nana

naPe

rlis

Tota

l1.

391.

131.

13na

nana

nana

naKe

dah

Publ

ic0.

520.

500.

433.

353.

292.

89na

nana

Keda

hPr

ivat

e1.

541.

921.

81na

nana

4.87

4.28

4.99

Keda

hTo

tal

0.73

0.80

0.72

3.35

3.29

2.89

4.87

4.28

4.99

Keda

h &

Per

lisPu

blic

0.66

0.61

0.54

3.35

3.29

2.89

nana

naKe

dah

& P

erlis

Priv

ate

1.54

1.92

1.81

nana

na4.

874.

284.

99Ke

dah

& P

erlis

Tota

l0.

820.

840.

773.

353.

292.

894.

874.

284.

99Pu

lau

Pina

ngPu

blic

0.81

0.88

1.06

2.61

2.57

3.41

nana

naPu

lau

Pina

ngPr

ivat

e1.

901.

261.

62na

nana

3.95

3.83

5.47

Pula

u Pi

nang

Tota

l1.

321.

091.

362.

612.

573.

413.

953.

835.

47Pe

rak

Publ

ic1.

731.

761.

892.

763.

293.

46na

nana

Pera

kPr

ivat

e1.

961.

881.

68na

nana

8.64

6.97

7.52

Pera

kTo

tal

1.79

1.80

1.82

2.76

3.29

3.46

8.64

6.97

7.52

Sela

ngor

Publ

ic0.

960.

800.

764.

675.

274.

80na

nana

Sela

ngor

Priv

ate

1.72

1.95

1.69

nana

na4.

185.

575.

42Se

lang

orTo

tal

1.30

1.32

1.19

4.67

5.27

4.80

4.18

5.57

5.42

WP

Putr

ajay

aPu

blic

-0.0

50.

593.

69na

nana

nana

naW

P Pu

traj

aya

Priv

ate

nana

nana

nana

nana

naW

P Pu

traj

aya

Tota

l-0

.05

0.59

3.69

nana

nana

nana

WP

Kual

a Lu

mpu

rPu

blic

2.05

2.24

2.49

nana

nana

nana

WP

Kual

a Lu

mpu

rPr

ivat

e2.

223.

212.

78na

nana

9.52

4.43

7.60

WP

Kual

a Lu

mpu

rTo

tal

2.13

2.65

2.62

nana

na9.

524.

437.

60Se

lang

or &

WP

Putr

ajay

a &

WP

Kual

a Lu

mpu

rPu

blic

1.34

1.36

1.57

4.67

5.27

4.80

nana

naSe

lang

or &

WP

Putr

ajay

a &

WP

Kual

a Lu

mpu

rPr

ivat

e1.

942.

442.

11na

nana

4.93

5.11

6.09

Sela

ngor

& W

P Pu

traj

aya

& W

P Ku

ala

Lum

pur

Tota

l1.

601.

821.

814.

675.

274.

804.

935.

116.

09

Abb

revi

atio

n: -

na

- no

t app

licab

leSe

lang

or &

WP

Putr

ajay

a &

WPK

L ar

e al

so c

olle

ctiv

ely

refe

rred

to a

s K

lang

Val

ley.

* Pu

blic

sec

tor

in 2

011

refe

rs to

MO

H a

nd U

nive

rsity

hos

pita

ls, w

hile

pub

lic s

ecto

r in

201

2 &

201

3 re

fers

to M

OH

, Uni

vers

ity, a

nd M

OD

hos

pita

ls.

45

CHAP

TER

3: H

OSPI

TAL A

CTIV

ITIE

S


Tabl

e 3.

5 [c

onti

nued

]: M

ean

Turn

Ove

r In

terv

al (

TOI)

in M

alay

sia

by C

ateg

orie

s of

Acu

te C

urat

ive

Hos

pita

ls, b

y St

ate

& S

ecto

r, 20

11-2

013

Stat

eSe

ctor

*

Mea

n Tu

rnov

er I

nter

val (

Day

s)

Spec

ialis

t H

ospi

tal

Non

Spe

cial

ist

Hos

pita

l M

ater

nity

Cen

tre

2011

2012

2013

2011

2012

2013

2011

2012

2013

Neg

eri S

embi

lan

Publ

ic1.

551.

641.

143.

344.

374.

56na

nana

Neg

eri S

embi

lan

Priv

ate

1.56

1.26

0.88

nana

nana

2.66

2.55

Neg

eri S

embi

lan

Tota

l1.

551.

501.

043.

344.

374.

56na

2.66

2.55

Mel

aka

Publ

ic0.

681.

341.

311.

681.

853.

09na

nana

Mel

aka

Priv

ate

2.30

1.55

1.51

nana

nana

nana

Mel

aka

Tota

l1.

371.

431.

401.

681.

853.

09na

nana

Joho

rPu

blic

1.24

1.06

1.12

1.41

1.67

1.67

nana

naJo

hor

Priv

ate

1.16

1.68

1.23

157.

7024

7.86

303.

178.

065.

437.

39Jo

hor

Tota

l1.

221.

231.

151.

792.

052.

098.

065.

437.

39Pa

hang

Publ

ic1.

251.

581.

252.

772.

512.

13na

nana

Paha

ngPr

ivat

e3.

482.

071.

83na

nana

11.1

68.

348.

21Pa

hang

Tota

l1.

581.

651.

332.

772.

512.

1311

.16

8.34

8.21

Tere

ngga

nuPu

blic

1.03

0.68

0.49

1.95

2.47

1.86

nana

naTe

reng

ganu

Priv

ate

1.34

0.89

0.30

nana

nana

nana

Tere

ngga

nuTo

tal

1.04

0.69

0.48

1.95

2.47

1.86

nana

naKe

lant

anPu

blic

1.71

1.56

1.49

1.81

2.38

1.80

nana

naKe

lant

anPr

ivat

e1.

501.

391.

25na

nana

nana

naKe

lant

anTo

tal

1.69

1.54

1.46

1.81

2.38

1.80

nana

naSa

raw

akPu

blic

2.33

1.75

1.77

5.55

5.66

5.96

nana

naSa

raw

akPr

ivat

e2.

641.

782.

24na

nana

29.8

911

.71

9.59

Sara

wak

Tota

l2.

391.

751.

855.

555.

665.

9629

.89

11.7

19.

59Sa

bah

Publ

ic1.

581.

441.

503.

393.

693.

51na

nana

Saba

hPr

ivat

e2.

581.

571.

35na

nana

6.80

1.73

2.47

Saba

hTo

tal

1.64

1.44

1.49

3.39

3.69

3.51

6.80

1.73

2.47

WP

Labu

anPu

blic

3.63

3.13

3.07

nana

nana

nana

WP

Labu

anPr

ivat

ena

nana

nana

nana

nana

WP

Labu

anTo

tal

3.63

3.13

3.07

nana

nana

nana

Saba

h &

WP

Labu

anPu

blic

1.66

1.51

1.56

3.39

3.69

3.51

nana

naSa

bah

& W

P La

buan

Priv

ate

2.58

1.57

1.35

nana

na6.

801.

732.

47Sa

bah

& W

P La

buan

Tota

l1.

711.

511.

553.

393.

693.

516.

801.

732.

47

Abb

revi

atio

n: -

na

- no

t app

licab

leSe

lang

or &

WP

Putr

ajay

a &

WPK

L ar

e al

so c

olle

ctiv

ely

refe

rred

to a

s K

lang

Val

ley.

* Pu

blic

sec

tor

in 2

011

refe

rs to

MO

H a

nd U

nive

rsity

hos

pita

ls, w

hile

pub

lic s

ecto

r in

201

2 &

201

3 re

fers

to M

OH

, Uni

vers

ity, a

nd M

OD

hos

pita

ls.

46


Tabl

e 3.

6 : N

umbe

r &

Den

sity

of E

mer

genc

y D

epar

tmen

t, G

ener

al O

utpa

tien

t D

epar

tmen

t an

d Sp

ecia

list

Clin

ic V

isit

s in

Acu

te C

urat

ive

Hos

pita

ls in

Mal

aysi

a by

St

ate

& S

ecto

r, 20

12-2

013

Stat

eSe

ctor

*

Tota

l Em

erge

ncy

Dep

artm

ent V

isit

sTo

tal G

ener

al O

utpa

tien

t D

epar

tmen

t Vis

its

Tota

l Spe

cial

ist

Out

pati

ent

Dep

artm

ent V

isit

s

2012

2013

2012

2013

2012

2013

Number


Number


Number


Number


Number


Number


Mal

aysi

aPu

blic

7,5

85,8

04

- 7

,632

,331

-

5,3

59,4

71

- 5

,413

,101

-

8,3

87,4

48

- 8

,567

,888

-

Mal

aysi

aPr

ivat

e 1

,561

,340

-

1,7

29,8

78

- 1,

925,

684

- 2,

068,

646

- 7

,448

,707

- 7

,522

,123

-

Mal

aysi

aTo

tal

9,14

7,14

4 3

11.8

0 9,

362,

209

315

.07

7,28

5,15

5 2

48.3

3 7,

481,

747

251

.79

15,8

36,1

55 5

39.8

1 16

,090

,011

5

41.4

8 Pe

rlis

Publ

ic 9

2,41

0 -

97,

438

- -

-

-

- 1

07,3

81

- 1

12,1

09

- Pe

rlis

Priv

ate

na

- n

a -

na

- n

a -

na

- n

a -

Perl

isTo

tal

92,

410

386

.01

97,

438

403

.64

-

-

-

-

107

,381

4

48.5

4 1

12,1

09

464

.41

Keda

hPu

blic

593

,476

-

599

,959

-

321

,119

-

321

,165

-

539

,401

-

587

,777

-

Keda

hPr

ivat

e 7

3,39

8 -

94,

742

- 6

7,32

1 -

74,

405

- 3

35,8

57

- 3

22,4

06

- Ke

dah

Tota

l 6

66,8

74

333

.97

694

,701

3

43.7

2 3

88,4

40

194

.53

395

,570

1

95.7

2 8

75,2

58

438

.33

910

,183

4

50.3

4 Ke

dah

& P

erlis

Publ

ic 6

85,8

86

- 6

97,3

97

- 3

21,1

19

- 3

21,1

65

- 6

46,7

82

- 6

99,8

86

- Ke

dah

& P

erlis

Priv

ate

73,

398

- 9

4,74

2 -

67,

321

- 7

4,40

5 -

335

,857

-

322

,406

-

Keda

h &

Per

lisTo

tal

759

,284

3

39.5

4 7

92,1

39

350

.12

388

,440

1

73.7

1 3

95,5

70

174

.84

982

,639

4

39.4

2 1

,022

,292

4

51.8

4 Pu

lau

Pina

ngPu

blic

450

,886

-

443

,608

-

485

,287

-

521

,405

-

569

,177

-

564

,480

-

Pula

u Pi

nang

Priv

ate

395

,925

-

387

,837

-

51,

414

- 6

6,07

4 -

1,4

57,8

62

- 1

,566

,015

-

Pula

u Pi

nang

Tota

l 8

46,8

11

525

.61

831

,445

5

10.5

9 5

36,7

01

333

.13

587

,479

3

60.7

7 2

,027

,039

1,

258.

17

2,1

30,4

95

1,30

8.34

Pe

rak

Publ

ic 7

82,6

50

- 7

99,3

46

- 1

,104

,937

-

1,1

80,4

99

- 7

61,0

08

- 7

88,1

82

- Pe

rak

Priv

ate

72,

677

- 6

8,21

4 -

51,

007

- 5

1,30

3 -

442

,263

-

435

,700

-

Pera

kTo

tal

855

,327

3

53.9

2 8

67,5

60

356

.08

1,1

55,9

44

478

.32

1,2

31,8

02

505

.58

1,2

03,2

71

497

.90

1,2

23,8

82

502

.33

Sela

ngor

Publ

ic 1

,083

,437

-

1,0

91,5

27

- 2

00,1

81

- 1

97,1

06

- 1

,059

,756

-

1,1

52,8

33

- Se

lang

orPr

ivat

e 3

86,4

95

- 4

75,3

74

- 7

93,3

53

- 8

98,5

76

- 2

,102

,751

-

2,0

11,2

42

- Se

lang

orTo

tal

1,46

9,93

2 2

60.1

3 1,

566,

901

273

.68

993

,534

1

75.8

2 1

,095

,682

1

91.3

8 3

,162

,507

5

59.6

6 3

,164

,075

5

52.6

5 W

P Pu

traj

aya

Publ

ic 6

2,22

0 -

64,

128

- -

-

-

- 1

55,4

21

- 1

64,1

91

- W

P Pu

traj

aya

Priv

ate

na

- n

a -

na

- n

a -

na

- n

a -

WP

Putr

ajay

aTo

tal

62,

220

783

.63

64,

128

777

.31

-

-

-

-

155

,421

1,

957.

44

164

,191

1,

990.

19

WP

Kual

a Lu

mpu

rPu

blic

514

,542

-

476

,688

-

434

,579

-

382

,438

-

1,5

44,2

67

- 1

,466

,877

-

WP

Kual

a Lu

mpu

rPr

ivat

e 2

83,2

93

- 3

02,8

05

- 3

67,7

97

- 4

10,3

31

- 1

,106

,863

-

1,2

31,9

72

- W

P Ku

ala

Lum

pur

Tota

l 7

97,8

35

465

.64

779

,493

4

50.0

5 8

02,3

76

468

.29

792

,769

4

57.7

2 2

,651

,130

1,

547.

29

2,6

98,8

49

1,55

8.23

Se

lang

or &

WP

Putr

ajay

a &

WP

Kual

a Lu

mpu

rPu

blic

1,6

60,1

99

- 1

,632

,343

-

634

,760

-

579

,544

-

2,7

59,4

44

- 2

,783

,901

-

Sela

ngor

& W

P Pu

traj

aya

& W

P Ku

ala

Lum

pur

Priv

ate

669

,788

-

778

,179

-

1,1

61,1

50

- 1

,308

,907

-

3,20

9,61

4-

3,2

43,2

14

- Se

lang

or &

WP

Putr

ajay

a &

WP

Kual

a Lu

mpu

rTo

tal

2,32

9,98

7 3

13.0

2 2,

410,

522

319

.71

1,7

95,9

10

241

.27

1,8

88,4

51

250

.46

5,96

9,05

8 8

01.9

0 6

,027

,115

7

99.3

7

Abb

revi

atio

n: -

not

ava

ilabl

e; n

a -

not a

pplic

able

Sela

ngor

& W

P Pu

traj

aya

& W

PKL

are

also

col

lect

ivel

y re

ferr

ed to

as

Kla

ng V

alle

y.

*

Publ

ic s

ecto

r in

201

1 re

fers

to M

OH

and

Uni

vers

ity h

ospi

tals

, whi

le p

ublic

sec

tor

in 2

012

& 2

013

refe

rs to

MO

H, U

nive

rsity

, and

MO

D h

ospi

tals

.

For

popu

latio

n da

ta, p

leas

e re

fer A

ppen

dix

3: T

able

A3.

1

47

CHAP

TER

3: H

OSPI

TAL A

CTIV

ITIE

S


Tabl

e 3.

6 [c

onti

nued

]: N

umbe

r &

Den

sity

of E

mer

genc

y D

epar

tmen

t, G

ener

al O

utpa

tien

t D

epar

tmen

t an

d Sp

ecia

list

Clin

ic V

isit

s in

Acu

te C

urat

ive

Hos

pita

ls in

M

alay

sia

by S

tate

& S

ecto

r, 20

12-2

013

Stat

eSe

ctor

*

Tota

l Em

erge

ncy

Dep

artm

ent V

isit

sTo

tal G

ener

al O

utpa

tien

t D

epar

tmen

t Vis

its

Tota

l Spe

cial

ist

Out

pati

ent

Dep

artm

ent V

isit

s

2012

2013

2012

2013

2012

2013

Number


Number


Number


Number


Number


Number


Neg

eri S

embi

lan

Publ

ic 3

53,0

65

- 3

57,2

82

- 9

8,96

4 -

113

,450

-

289

,879

-

307

,778

-

Neg

eri S

embi

lan

Priv

ate

71,

186

- 9

9,50

8 -

11,

831

- 8

,520

-

264

,107

-

271

,784

-

Neg

eri S

embi

lan

Tota

l 4

24,2

51

401

.64

456

,790

4

26.8

7 1

10,7

95

104

.89

121

,970

1

13.9

8 5

53,9

86

524

.46

579

,562

5

41.6

0 M

elak

aPu

blic

255

,022

-

265

,804

-

73,

001

- 8

5,43

4 -

305

,572

-

324

,050

-

Mel

aka

Priv

ate

66,

664

- 7

6,52

1 -

129

,397

-

133

,381

-

464

,630

-

482

,479

-

Mel

aka

Tota

l 3

21,6

86

381

.82

342

,325

4

01.6

0 2

02,3

98

240

.24

218

,815

2

56.7

0 7

70,2

02

914

.19

806

,529

9

46.1

9 Jo

hor

Publ

ic 7

89,7

27

- 7

93,0

79

- 1

42,0

89

- 1

46,6

81

- 8

97,7

22

- 9

10,9

21

- Jo

hor

Priv

ate

106

,603

-

141

,892

-

89,

772

- 1

07,7

29

- 7

69,3

30

- 7

13,4

35

- Jo

hor

Tota

l 8

96,3

30

260

.59

934

,971

2

68.8

9 2

31,8

61

67.

41

254

,410

7

3.17

1

,667

,052

4

84.6

6 1

,624

,356

4

67.1

4 Pa

hang

Publ

ic 4

18,3

87

- 4

33,1

49

- 2

44,7

69

- 2

44,4

82

- 3

51,4

57

- 3

56,4

98

- Pa

hang

Priv

ate

14,

794

- 1

5,09

7 -

89,

863

- 3

2,18

0 -

135

,824

-

124

,665

-

Paha

ngTo

tal

433

,181

2

79.7

6 4

48,2

46

285

.02

334

,632

2

16.1

1 2

76,6

62

175

.92

487

,281

3

14.7

0 4

81,1

63

305

.95

Tere

ngga

nuPu

blic

254

,173

-

268

,836

-

249

,820

-

240

,548

-

268

,323

-

269

,920

-

Tere

ngga

nuPr

ivat

e 9

,405

-

10,

487

- -

-

-

- 1

3,65

6 -

13,

656

- Te

reng

ganu

Tota

l 2

63,5

78

241

.17

279

,323

2

51.0

8 2

49,8

20

228

.58

240

,548

2

16.2

2 2

81,9

79

258

.01

283

,576

2

54.9

0 Ke

lant

anPu

blic

439

,782

-

436

,052

-

260

,588

-

231

,728

-

460

,960

-

439

,955

-

Kela

ntan

Priv

ate

5,5

60

- 5

,998

-

86,

856

- 9

3,18

8 -

9,9

29

- 1

0,65

4 -

Kela

ntan

Tota

l 4

45,3

42

271

.48

442

,050

2

65.3

5 3

47,4

44

211

.80

324

,916

1

95.0

4 4

70,8

89

287

.06

450

,609

2

70.4

9 Sa

raw

akPu

blic

580

,735

-

578

,182

-

733

,777

-

726

,838

-

432

,345

-

467

,280

-

Sara

wak

Priv

ate

63,

553

- 3

8,20

2 -

134

,597

-

144

,017

-

210

,236

-

202

,505

-

Sara

wak

Tota

l 6

44,2

88

253

.08

616

,384

2

39.3

3 8

68,3

74

341

.10

870

,855

3

38.1

3 6

42,5

81

252

.41

669

,785

2

60.0

6 Sa

bah

Publ

ic 8

71,2

01

- 8

82,5

15

- 1

,010

,360

-

1,0

21,3

27

- 6

25,5

27

- 6

24,1

40

- Sa

bah

Priv

ate

11,

787

- 1

3,20

1 -

52,

476

- 4

8,94

2 -

135

,399

-

135

,610

-

Saba

hTo

tal

882

,988

2

61.8

8 8

95,7

16

261

.29

1,0

62,8

36

315

.22

1,0

70,2

69

312

.21

760

,926

2

25.6

8 7

59,7

50

221

.63

WP

Labu

anPu

blic

44,

091

- 4

4,73

8 -

-

- -

-

19,

252

- 3

0,89

7 -

WP

Labu

anPr

ivat

e n

a -

na

- n

a -

na

- n

a -

na

- W

P La

buan

Tota

l 4

4,09

1 4

81.3

4 4

4,73

8 4

79.5

1 -

-

-

-

1

9,25

2 2

10.1

7 3

0,89

7 3

31.1

6 Sa

bah

& W

P La

buan

Publ

ic 9

15,2

92

- 9

27,2

53

- 1

,010

,360

-

1,0

21,3

27

- 6

44,7

79

- 6

55,0

37

- Sa

bah

& W

P La

buan

Priv

ate

11,

787

- 1

3,20

1 -

52,

476

- 4

8,94

2 -

135

,399

-

135

,610

-

Saba

h &

WP

Labu

anTo

tal

927

,079

2

67.6

9 9

40,4

54

267

.08

1,0

62,8

36

306

.89

1,0

70,2

69

303

.94

780

,178

2

25.2

7 7

90,6

47

224

.53

Abb

revi

atio

n: -

not

ava

ilabl

e; n

a -

not a

pplic

able

Sela

ngor

& W

P Pu

traj

aya

& W

PKL

are

also

col

lect

ivel

y re

ferr

ed to

as

Kla

ng V

alle

y.

*

Publ

ic s

ecto

r in

201

1 re

fers

to M

OH

and

Uni

vers

ity h

ospi

tals

, whi

le p

ublic

sec

tor

in 2

012

& 2

013

refe

rs to

MO

H, U

nive

rsity

, and

MO

D h

ospi

tals

.

Fo

r po

pula

tion

data

, ple

ase

refe

r App

endi

x 3:

Tab

le A

3.1

48


Tabl

e 3.

7: N

umbe

r of

Spe

cial

ist

Clin

ic V

isit

s (M

edic

ine,

Gen

eral

Sur

gery

, Ort

hopa

edic

s an

d O

bste

tric

s &

Gyn

aeco

logy

) in

Acu

te C

urat

ive

Hos

pita

ls

(Pub

lic H

ospi

tals

Onl

y) in

Mal

aysi

a by

Sta

te, 2

012-

2013

Stat

eG

ener

al M

edic

ine

Clin

icSu

rgic

al C

linic

Ort

hopa

edic

Clin

icO

bste

tric

Clin

icG

ynae

colo

gy C

linic

2012

2013

2012

2013

2012

2013

2012

2013

2012

2013

Mal

aysi

a 1

,209

,050

1

,259

,418

7

73,6

24

783

,765

9

89,6

05

1,0

35,3

43

508

,483

4

87,7

86

342

,558

3

41,2

07

Perl

is 1

6,79

7 1

8,19

8 1

2,59

9 1

2,79

1 1

4,85

1 1

6,00

7 4

,883

5

,225

3

,024

3

,299

Keda

h 8

7,35

0 9

2,42

0 7

4,29

5 8

2,92

3 6

8,87

6 7

4,91

5 3

9,24

9 3

9,80

9 2

7,55

0 2

7,11

5

Keda

h &

Per

lis 1

04,1

47

110

,618

8

6,89

4 9

5,71

4 8

3,72

7 9

0,92

2 4

4,13

2 4

5,03

4 3

0,57

4 3

0,41

4

Pula

u Pi

nang

78,

032

78,

642

51,

130

49,

829

76,

599

69,

652

26,

074

23,

344

20,

723

19,

399

Pera

k 9

8,97

1 1

03,2

84

85,

568

88,

792

106

,801

1

07,9

43

45,

829

41,

238

34,

048

35,

430

Sela

ngor

157

,987

1

85,5

65

83,

771

93,

812

134

,774

1

43,4

36

67,

747

71,

397

50,

117

50,

774

WP

Putr

ajay

a 4

4,28

8 4

4,46

7 1

8,70

9 2

0,58

2 1

7,46

4 1

9,72

1 1

9,51

6 1

9,10

3 8

,336

6

,637

WPK

L 2

41,6

16

219

,688

1

10,5

54

90,

096

149

,922

1

46,8

39

108

,752

1

10,2

72

42,

899

42,

707

Sela

ngor

& W

P Pu

traj

aya

& W

PKL

443

,891

4

49,7

20

213

,034

2

04,4

90

302

,160

3

09,9

96

196

,015

2

00,7

72

101

,352

1

00,1

18

Neg

eri S

embi

lan

32,

978

40,

794

30,

120

30,

557

39,

483

43,

904

16,

194

15,

655

12,

571

12,

739

Mel

aka

47,

685

50,

973

31,

391

34,

792

45,

332

49,

176

19,

783

20,

834

13,

231

14,

976

Joho

r 1

16,0

66

117

,127

7

7,47

0 8

2,58

7 1

02,4

96

115

,449

7

6,46

4 5

3,35

6 3

4,61

5 3

4,22

6

Paha

ng 4

4,74

9 4

9,06

9 3

1,17

7 3

3,62

8 3

8,36

1 4

6,41

0 1

0,05

2 1

2,85

7 9

,794

1

0,60

3

Tere

ngga

nu 5

2,36

9 5

6,89

5 2

7,80

2 2

9,17

7 2

8,19

4 2

8,28

0 9

,764

1

0,88

4 1

2,57

8 1

2,95

2

Kela

ntan

51,

879

53,

291

40,

849

34,

735

58,

132

56,

120

23,

374

22,

030

16,

174

15,

887

Sara

wak

71,

908

75,

293

47,

391

49,

621

51,

460

52,

521

12,

013

12,

663

23,

540

21,

984

Saba

h 6

0,12

8 6

6,09

3 4

8,56

0 4

6,71

2 5

4,11

8 6

1,35

4 2

7,58

9 2

8,07

9 3

2,03

8 3

1,28

9

WP

Labu

an 6

,247

7

,619

2

,238

3

,131

2

,742

3

,616

1

,200

1

,040

1

,320

1

,190

Saba

h &

WP

Labu

an 6

6,37

5 7

3,71

2 5

0,79

8 4

9,84

3 5

6,86

0 6

4,97

0 2

8,78

9 2

9,11

9 3

3,35

8 3

2,47

9

Sela

ngor

& W

P Pu

traj

aya

& W

PKL

are

also

col

lect

ivel

y re

ferr

ed to

as

Kla

ng V

alle

y. v

49

CHAP

TER

3: H

OSPI

TAL A

CTIV

ITIE

S


Tabl

e 3.

8: N

umbe

r of

Spe

cial

ist

Clin

ic V

isit

s (P

aedi

atri

cs, O

torh

inol

aryn

golo

gy (

ENT)

, Oph

thal

mol

ogy,

Psy

chia

try

and

Onc

olog

y) in

Acu

te C

urat

ive

Hos

pita

ls

(Pub

lic H

ospi

tals

Onl

y) in

Mal

aysi

a by

Sta

te, 2

012-

2013

Stat

ePa

edia

tric

Clin

icEN

T C

linic

Oph

thal

mol

ogy

Clin

icPs

ychi

atry

Clin

icO

ncol

ogy

Clin

ic

2012

2013

2012

2013

2012

2013

2012

2013

2012

2013

Mal

aysi

a 5

59,9

92

572

,681

56

9,82

860

8,98

698

9,88

51,

017,

084

569,

442

549,

657

138,

194

13,1

081

Perl

is 8

,201

7

,999

7,

752

8,32

112

,033

12,4

858,

380

8,02

60

0

Keda

h 5

7,13

5 5

4,98

1 48

,673

52,6

2460

,569

74,9

7237

,742

39,5

0911

,628

11,5

60

Keda

h &

Per

lis 6

5,33

6 6

2,98

0 56

,425

60,9

4572

,602

87,4

5746

,122

47,5

3511

,628

11,5

60

Pula

u Pi

nang

25,

701

25,

882

50,9

1754

,498

76,3

0975

,577

28,8

3128

,404

10,2

7410

,598

Pera

k 6

1,40

7 6

0,45

6 55

,813

57,1

9111

1,65

211

8,63

174

,152

87,4

893,

126

2,66

6

Sela

ngor

78,

021

86,

955

73,1

3288

,524

140,

721

152,

122

40,5

4645

,381

00

WP

Putr

ajay

a 1

0,06

4 1

2,00

5 10

,298

10,6

3414

,140

14,4

303,

370

3,02

60

0

WPK

L 9

6,74

8 8

6,42

5 86

,147

83,0

1214

0,08

213

2,46

377

,955

68,9

2769

,394

59,8

49

Sela

ngor

& W

P Pu

traj

aya

& W

PKL

184

,833

1

85,3

85

169,

577

182,

170

294,

943

299,

015

121,

871

117,

334

69,3

9459

,849

Neg

eri S

embi

lan

18,

484

19,

038

17,4

0217

,775

48,3

3949

,978

22,1

5521

,688

00

Mel

aka

17,

314

16,

850

28,6

1128

,667

39,2

4640

,774

19,4

6720

,169

612

497

Joho

r 5

0,55

9 5

1,94

1 50

,767

59,3

1096

,461

87,6

2845

,876

47,0

8415

,803

17,4

19

Paha

ng 2

3,97

2 2

7,67

0 23

,687

26,5

8736

,619

42,9

5069

,371

44,5

6344

353

9

Tere

ngga

nu 1

5,74

9 1

6,11

1 16

,435

16,4

6626

,829

28,3

9069

,461

61,4

840

0

Kela

ntan

28,

264

29,

653

37,6

9637

,172

53,9

8253

,227

31,0

4528

,579

7,66

68,

227

Sara

wak

34,

847

37,

839

32,1

5736

,800

67,8

4769

,932

26,7

1428

,643

14,2

6114

,497

Saba

h 3

2,68

0 3

7,61

6 29

,877

30,9

4261

,560

60,5

1013

,901

16,0

714,

987

5,22

9

WP

Labu

an 8

46

1,2

60

464

463

3,49

63,

015

476

614

00

Saba

h &

WP

Labu

an 3

3,52

6 3

8,87

6 30

,341

31,4

0565

,056

63,5

2514

,377

16,6

854,

987

5,22

9

Sela

ngor

& W

P Pu

traj

aya

& W

PKL

are

also

col

lect

ivel

y re

ferr

ed to

as

Kla

ng V

alle

y.

Chapter 4 :

Hospital Health

Workforce

52


CHAPTER 4 | HOSPITAL HEALTH WORKFORCEDoctors

In this report, we focus on fully-registered medical practitioners i.e. the specialists and medical officers, hence house officers are excluded. In 2013, there were 19,927 doctors working in acute curative hospitals in the country; 79.9% in the public hospitals, and 20.1% in the private hospitals. This sector distribution of doctor workforce is consistent with the proportion of bed capacity between the sectors. Over the past four years (2010-2013), the number of doctors has increased by 25% (5,022/ 19,927); the public hospitals contributed to a majority of 87.8% (4,407/ 5,022), and the remaining 12.2% (615/ 5,022) was from the private hospitals. Consistently, the public hospitals experienced a higher percentage of increase in the doctor workforce (27.7%) compared with the private hospitals (15.3%). In total, the country had 67.1 doctors per 100,000 population for the year 2013. Many were working in the West Coast region of Peninsular Malaysia. The highest doctor-to-population ratio was seen in Klang Valley (99.6 per 100,000 population), and three other states held a ratio well above national average i.e. Pulau Pinang (93.3 per 100,000 population), Melaka (87.8 per 100,000 population), and Negeri Sembilan (75.2 per 100,000 population). On the other hand, the top five states with the least number of doctors per 100,000 population were Sabah & WP Labuan (33.4), Sarawak (46.1), Johor (47.1), Terengganu (52.8), and Pahang (53.7). [Table 4.1]

With regards to specialists, the year 2013 saw 7,788 specialists working in acute curative hospitals in Malaysia. There were more specialists in the public hospitals (4,368; 56.1%) as opposed to the private hospitals (3,420; 43.9%). In the four-year period, the total number of specialists grew by 1,112 (14.3%). Out of such, 621 specialists (55.8%) were from the public hospitals, and 491 specialists (44.2%) were from the private hospitals. In addition, specialist workforce growth within the public hospitals (14.2%) was comparable to that of the private hospitals (14.4%). Overall, the number of specialists per 100,000 population in the country stood at 26.2 for the year 2013. Klang Valley, Pulau Pinang, and Melaka held the top three highest ratios; 47.6, 40.1, and 34.6 respectively. In contrast, three states had the lowest ratios i.e. Sabah & WP Labuan (9.1), Terengganu (12.9), and Sarawak (14.8). [Table 4.1.1]

Specialties that topped the list for highest specialist-to-population ratio remained similar throughout the four-year period (paediatrics, obstetrics and gynaecology, anaesthesiology, orthopaedics, internal medicine, and general surgery). Meanwhile specialties with the lowest ratio include sports medicine, nuclear medicine, rehabilitation medicine, and forensic pathology. [Table 4.1.2- Table 4.1.18]

In 2013, medical officers working in acute curative hospitals in the country numbered 12,139; a majority of 95% (11,545) being in the public hospitals while the remaining were in the private hospitals (594). Over the past four years, the number has increased by 3,910 (32.2%); out of which 3,786 (96.8%) medical officers were working in the public hospitals, and only 124 (3.2%) were working in the private hospitals. Furthermore, medical officer workforce of the public hospitals observed a higher increase (32.8%) compared with that of the private hospitals (20.9%). The national average of medical officers per 100,000 population was 40.9 for the year 2013. Melaka, Pulau Pinang, Perlis, and Klang Valley reported ratios well above the national average (53.1, 52.7, 52.2, and 52.1 medical officers per 100,000 population respectively); while Sabah & WP Labuan, Johor, and Sarawak recorded ratios well below the national average (24.3, 31.0, and 31.2 medical officers per 100,000 population respectively). [Table 4.1.1]

Staff Nurses

Total hospital staff nurses in 2013 numbered 68,121; with 50,541 staff nurses (74.2%) in the public hospitals, and 17,580 staff nurses (25.8%) in the private hospitals. There was an overall increase of 6.6% from the total number of hospital staff nurses in 2012. Both sectors experienced comparable increase in workforce over the two-year period; 6.4% in the public hospitals, and 7.2% in the private hospital. The country observed a staff-nurses-to-population ratio of 229 per 100,000 population in

53

CHAP

TER

4: H

OSPI

TAL

HEAL

TH W

ORKF

ORCE


2013. The highest ratio of 305-308 per 1,000 population was seen in Pulau Pinang, Melaka, and Klang Valley (consisting the collective states of Selangor, WP Putrajaya, and WP Kuala Lumpur). Meanwhile Sarawak, Terengganu, Sabah, WP Labuan, and Johor had the ratio of below 200 per 100,000 population. [Table 4.2]

Staff nurses with post-basic training grew in number by 12.8% from 2012 to 2013; again with the private hospitals showing higher increase (14.0%) than the public hospitals (12.6%). However, 35.4% of all staff nurses in the public hospitals had post-basic training versus 19.0% of all staff nurses in the private. Public hospitals in Melaka had the highest proportion of post-basic trained staff nurses out of total staff nurses (50.2%), while those in Sabah had the lowest (23.7%). [Table 4.2]

Assistant Medical Officers (AMO)

There were 6,568 AMOs working in Malaysian hospitals in 2013. Most (98.8%) AMOs were working in the public hospitals. The number of AMOs grew by 3.9% from 2012 to 2013; maintaining the AMO-to-population ratio of 22 per 100,000 population in both years. Perlis recorded AMO density well above national average at 44 per 100,000 population. Meanwhile Klang Valley, and Johor recorded the lowest AMO density, at 17-18 per 100,000 population each. [Table 4.3]

The number of post-basic trained AMOs increased by 6.4% over one-year period (2012-2013); mostly observed in the public hospitals. The private hospitals lost three post-basic trained AMOs (21.4%) in 2013. Out of all AMOs in the public hospitals, 41.3% held post-basic training; while only 17.5% of the total number of AMOs in the private hospitals had such training. [Table 4.3]

Radiographers

TThere were 3,258 radiographers in Malaysia in 2013; 2,419 (74.2%) in the public hospitals, and 839 (25.8%) in the private hospitals. In total, the number of radiographers increased by 5.3%; with a higher increase in the private hospitals (12.5%) compared with the public hospitals (2.8%). Nationwide, there were 11 radiographers per 100,000 population in 2013. Pulau Pinang, Perlis, and Klang Valley had the highest ratio, at 12-15 per 100,000 population; while Kedah, Terengganu and Sabah & WP Labuan had the lowest ratio, at 7-8 per 100,000 population. [Table 4.4]

We attempted to report about the country’s post-basic trained radiographers (particularly in mammography and computer tomography (CT) scan). However such data could only be reported for the public hospitals. Of all radiographers in the public hospitals, 1.3% had post-basic training in mammogram, and 5.3% had post-basic training in CT scan. Most states had only three or less radiographers with mammogram post-basic training, while in Klang Valley there were 13 radiographers with such qualification. A similar situation is seen among the radiographers with post-basic qualification in CT scan: in most states, they numbered less than 10, while in Klang Valley they amounted to 47 in number. [Table 4.4]

Limitation:

1. Our data pertains to hospital workforce, therefore paints only a partial picture of health workforce (of selected professions) in the country.

2. Only doctor workforce data was collected at an individual doctor’s level. As for the remaining professions, data was collected in aggregated manner i.e. total count of the workforce. Therefore thorough data verification and cleaning was employed for the doctor workforce data, while the nature of the other workforce data permitted verification and cleaning procedure on a smaller scale.

3. Compared with workforce data of other professions, doctor workforce data for the latest NHEWS (Hospital) survey is available only for the year 2013 instead of for both years (2012 & 2013). This is attributable to the dissimilarity in data collection as has been mentioned.

4. A proportion of private hospitals reported post-basic trained radiographers that did not meet our definition. Therefore we omitted this data on the ground of questionable reliability.

54


Stat

eSe

ctor

*

Med

ical

Pra

ctit

ione

rs‡

2010

2011

2013

Num

ber

Per

100,

000

popu

lati

onN

umbe

rPe

r 10

0,00

0 po

pula

tion

Num

ber

Per

100,

000

popu

lati

onM

alay

sia

Publ

ic 1

1,50

6 -

13,

100

- 15

,913

- M

alay

sia

Priv

ate

3,3

99

- 3

,554

-

4,01

4-

Mal

aysi

aTo

tal

14,

905

52.6

0 1

6,65

4 5

7.50

19

,927

67.0

6Pe

rlis

Publ

ic 1

20

- 1

40

- 17

1-

Perl

isPr

ivat

e n

a -

na

- 0

- Pe

rlis

Tota

l 1

20

51.8

3 1

40

58.

95

171

70.8

4Ke

dah

Publ

ic 6

41

- 7

73

- 1,

065

- Ke

dah

Priv

ate

114

-

120

-

127

- Ke

dah

Tota

l 7

55

38.7

6 8

93

45.

26

1,19

258

.98

Keda

h &

Per

lisPu

blic

761

-

913

-

1,23

6-

Keda

h &

Per

lisPr

ivat

e 1

14

- 1

20

- 12

7-

Keda

h &

Per

lisTo

tal

875

40

.15

1,0

33

46.

73

1,36

360

.24

Pula

u Pi

nang

Publ

ic 7

31

- 8

87

- 1,

049

- Pu

lau

Pina

ngPr

ivat

e 4

14

- 4

23

- 47

1-

Pula

u Pi

nang

Tota

l 1

,145

73

.33

1,3

10

82.

20

1,52

093

.34

Pera

kPu

blic

896

-

1,0

16

- 1,

175

- Pe

rak

Priv

ate

256

-

270

-

300

- Pe

rak

Tota

l 1

,152

48

.96

1,2

86

53.

64

1,47

560

.54

Sela

ngor

Publ

ic 1

,618

-

1,7

89

- 2,

370

- Se

lang

orPr

ivat

e 8

97

- 9

80

- 1,

138

- Se

lang

orTo

tal

2,5

15

46.0

4 2

,769

4

9.65

3,

508

61.2

7W

P Pu

traj

aya

Publ

ic 2

12

- 2

43

- 39

0-

WP

Putr

ajay

aPr

ivat

e n

a -

na

- 0

- W

P Pu

traj

aya

Tota

l 2

12

292.

77 2

43

318

.06

390

472.

73W

PKL

Publ

ic 2

,480

-

2,6

07

- 2,

724

- W

PKL

Priv

ate

808

-

774

-

890

- W

PKL

Tota

l 3

,288

19

6.34

3,3

81

199

.53

3,61

420

8.66

Sela

ngor

& W

P Pu

traj

aya

& W

PKL

Publ

ic 4

,310

-

4,6

39

- 5,

484

- Se

lang

or &

WP

Putr

ajay

a &

WPK

LPr

ivat

e 1

,705

-

1,7

54

- 2,

028

- Se

lang

or &

WP

Putr

ajay

a &

WPK

LTo

tal

6,0

15

83.4

4 6

,393

8

7.00

7,

512

99.6

3

Tabl

e 4.

1 : N

umbe

r &

Den

sity

of M

edic

al P

ract

itio

ners

in A

cute

Cur

ativ

e H

ospi

tals

in M

alay

sia

by S

tate

& S

ecto

r, 20

10, 2

011

& 2

013

Abb

revi

atio

n: -

not

ava

ilabl

e; n

a -

not a

pplic

able

Sela

ngor

& W

P Pu

traj

aya

& W

PKL

are

also

col

lect

ivel

y re

ferr

ed to

as

Kla

ng V

alle

y.

* Pu

blic

sec

tor

in 2

010

& 2

011

refe

rs to

MO

H a

nd U

nive

rsity

hos

pita

ls, w

hile

pub

lic s

ecto

r in

201

3 re

fers

to M

OH

, Uni

vers

ity, a

nd M

OD

hos

pita

ls.

‡ M

edic

al p

ract

ition

ers

refe

r to

doc

tors

with

full

MM

C r

egis

trat

ion

i.e. s

peci

alis

ts A

ND

med

ical

offi

cers

; EX

CLU

DIN

G h

ouse

offi

cers

.Fo

r po

pula

tion

data

, ple

ase

refe

r App

endi

x 3:

Tab

le A

3.1

55

CHAP

TER

4: H

OSPI

TAL

HEAL

TH W

ORKF

ORCE


Tabl

e 4.

1 [c

onti

nued

]: N

umbe

r &

Den

sity

of M

edic

al P

ract

itio

ners

in A

cute

Cur

ativ

e H

ospi

tals

in M

alay

sia

by S

tate

& S

ecto

r, 20

10, 2

011

& 2

013

Stat

eSe

ctor

*

Med

ical

Pra

ctit

ione

rs‡

2010

2011

2013

Num

ber

Per

100,

000

popu

lati

onN

umbe

rPe

r 10

0,00

0 po

pula

tion

Num

ber

Per

100,

000

popu

lati

onN

eger

i Sem

bila

nPu

blic

453

-

537

-

640

- N

eger

i Sem

bila

nPr

ivat

e 1

35

- 1

48

- 16

5-

Neg

eri S

embi

lan

Tota

l 5

88

57.5

9 6

85

65.

68

805

75.2

3M

elak

aPu

blic

356

-

439

-

551

- M

elak

aPr

ivat

e 1

64

- 1

84

- 19

7-

Mel

aka

Tota

l 5

20

63.3

3 6

23

74.

79

748

87.7

5Jo

hor

Publ

ic 9

24

- 1

,130

-

1,32

0-

Joho

rPr

ivat

e 2

56

- 2

70

- 31

7-

Joho

rTo

tal

1,1

80

35.2

4 1

,400

4

1.15

1,

637

47.0

8Pa

hang

Publ

ic 5

25

- 6

25

- 75

7-

Paha

ngPr

ivat

e 6

4 -

74

- 87

- Pa

hang

Tota

l 5

89

39.2

5 6

99

45.

84

844

53.6

7Te

reng

ganu

Publ

ic 3

84

- 4

08

- 57

4-

Tere

ngga

nuPr

ivat

e 1

1 -

12

- 13

- Te

reng

ganu

Tota

l 3

95

38.1

3 4

20

39.

11

587

52.7

6Ke

lant

anPu

blic

873

-

934

-

1,03

1-

Kela

ntan

Priv

ate

43

- 4

4 -

42-

Kela

ntan

Tota

l 9

16

59.5

0 9

78

60.

55

1,07

364

.41

Sara

wak

Publ

ic 6

23

- 7

19

- 99

9-

Sara

wak

Priv

ate

169

-

182

-

187

- Sa

raw

akTo

tal

792

32

.05

901

3

5.81

1,

186

46.0

5Sa

bah

Publ

ic 6

58

- 8

37

- 1,

061

- Sa

bah

Priv

ate

68

- 7

3 -

80-

Saba

hTo

tal

726

22

.64

910

2

7.44

1,

141

33.2

8W

P La

buan

Publ

ic 1

2 -

16

- 36

- W

P La

buan

Priv

ate

na

- n

a -

0-

WP

Labu

anTo

tal

12

13.8

1 1

6 1

7.82

36

38.5

9Sa

bah

& W

P La

buan

Publ

ic 6

70

- 8

53

- 1,

097

- Sa

bah

& W

P La

buan

Priv

ate

68

- 7

3 -

80-

Saba

h &

WP

Labu

anTo

tal

738

22

.41

926

2

7.19

1,

177

33.4

3

Abb

revi

atio

n: -

not

ava

ilabl

e; n

a -

not a

pplic

able

Sela

ngor

& W

P Pu

traj

aya

& W

PKL

are

also

col

lect

ivel

y re

ferr

ed to

as

Kla

ng V

alle

y.

* Pu

blic

sec

tor

in 2

010

& 2

011

refe

rs to

MO

H a

nd U

nive

rsity

hos

pita

ls, w

hile

pub

lic s

ecto

r in

201

3 re

fers

to M

OH

, Uni

vers

ity, a

nd M

OD

hos

pita

ls.

‡

Med

ical

pra

ctiti

oner

s re

fer

to d

octo

rs w

ith fu

ll M

MC

reg

istr

atio

n i.e

. spe

cial

ists

AN

D m

edic

al o

ffice

rs; E

XC

LUD

ING

hou

se o

ffice

rs.

For

popu

latio

n da

ta, p

leas

e re

fer A

ppen

dix

3: T

able

A3.

1

56


Tabl

e 4.

1.1

: Num

ber

& D

ensi

ty o

f Spe

cial

ists

and

Med

ical

Offi

cers

in A

cute

Cur

ativ

e H

ospi

tals

in M

alay

sia

by S

tate

& S

ecto

r, 20

10, 2

011

& 2

013

Stat

eSe

ctor

*

Spec

ialis

tsM

edic

al O

ffice

rs

2010

2011

2013

2010

2011

2013

Number


Number


Number


Number


Number


Number


Mal

aysi

aPu

blic

3,7

47

- 3

,892

-

4,36

8-

7,7

59

- 9

,208

-

11,5

45-

Mal

aysi

aPr

ivat

e 2

,929

-

3,0

81

- 3,

420

- 4

70

- 4

73

- 59

4-

Mal

aysi

aTo

tal

6,6

76

23.5

6 6

,973

24

.08

7,78

826

.21

8,2

29

29.

04

9,6

81

33.

42

12,1

3940

.85

Perl

isPu

blic

40

- 4

0 -

45-

80

- 1

00

- 12

6-

Perl

isPr

ivat

e n

a -

na

- 0

- n

a -

na

- 0

- Pe

rlis

Tota

l 4

0 17

.28

40

16.8

445

18.6

4 8

0 3

4.55

1

00

42.

11

126

52.2

0Ke

dah

Publ

ic 1

80

- 1

87

-22

7-

461

-

586

-

838

- Ke

dah

Priv

ate

102

-

111

-

113

- 1

2 -

9

- 14

- Ke

dah

Tota

l 2

82

14.4

8 2

98

15.1

034

016

.82

473

2

4.29

5

95

30.

16

852

42.1

6Ke

dah

& P

erlis

Publ

ic 2

20

- 2

27

- 27

2-

541

-

686

-

964

- Ke

dah

& P

erlis

Priv

ate

102

-

111

-

113

- 1

2 -

9

- 14

- Ke

dah

& P

erlis

Tota

l 3

22

14.7

8 3

38

15.2

938

517

.02

553

2

5.38

6

95

31.

44

978

43.2

3Pu

lau

Pina

ngPu

blic

200

-

203

-

242

- 5

31

- 6

84

- 80

7-

Pula

u Pi

nang

Priv

ate

375

-

381

-

420

- 3

9 -

42

- 51

- Pu

lau

Pina

ngTo

tal

575

36

.83

584

36

.71

662

40.6

5 5

70

36.

51

726

4

5.49

85

852

.69

Pera

kPu

blic

212

-

214

-

245

- 6

84

- 8

02

- 93

0-

Pera

kPr

ivat

e 2

20

- 2

35

- 25

1-

36

- 3

5 -

49-

Pera

kTo

tal

432

18

.36

449

18

.73

496

20.3

6 7

20

30.

60

837

3

4.91

97

940

.18

Sela

ngor

Publ

ic 6

28

- 6

19

- 68

9-

990

-

1,1

70

- 1,

681

- Se

lang

orPr

ivat

e 7

63

- 8

40

- 95

3-

134

-

140

-

185

- Se

lang

orTo

tal

1,3

91

25.4

7 1

,459

26

.16

1,64

228

.68

1,1

24

20.

58

1,3

10

23.

49

1,86

632

.59

WP

Putr

ajay

aPu

blic

74

- 7

8 -

98-

138

-

165

-

292

- W

P Pu

traj

aya

Priv

ate

na

- n

a -

0-

na

- n

a -

0-

WP

Putr

ajay

aTo

tal

74

102.

19 7

8 10

2.09

9811

8.79

138

1

90.5

7 1

65

215

.97

292

353.

94W

PKL

Publ

ic 9

19

- 1

,031

-

1,08

6-

1,5

61

- 1

,576

-

1,63

8-

WPK

LPr

ivat

e 7

08

- 6

74

- 75

9 -

100

-

100

-

131

- W

PKL

Tota

l 1

,627

97

.16

1,7

05

100.

621,

845

106.

52 1

,661

9

9.19

1

,676

9

8.91

1,

769

102.

14Se

lang

or &

WP

Putr

ajay

a &

WPK

LPu

blic

1,6

21

- 1

,728

-

1,87

3-

2,6

89

- 2

,911

-

3,61

1-

Sela

ngor

& W

P Pu

traj

aya

& W

PKL

Priv

ate

1,4

71

- 1

,514

-

1,71

2-

234

-

240

-

316

- Se

lang

or &

WP

Putr

ajay

a &

WPK

LTo

tal

3,0

92

42.8

9 3

,242

44

.12

3,58

547

.55

2,9

23

40.

55

3,1

51

42.

88

3,92

752

.08

Abb

revi

atio

n: -

not

ava

ilabl

e; n

a -

not a

pplic

able

Sela

ngor

& W

P Pu

traj

aya

& W

PKL

are

also

col

lect

ivel

y re

ferr

ed to

as

Kla

ng V

alle

y.

* Pu

blic

sec

tor

in 2

010

& 2

011

refe

rs to

MO

H a

nd U

nive

rsity

hos

pita

ls, w

hile

pub

lic s

ecto

r in

201

3 re

fers

to M

OH

, Uni

vers

ity, a

nd M

OD

hos

pita

ls.

For

popu

latio

n da

ta, p

leas

e re

fer A

ppen

dix

3: T

able

A3.

1

57

CHAP

TER

4: H

OSPI

TAL

HEAL

TH W

ORKF

ORCE


Tabl

e 4.

1.1

[con

tinu

ed]:

Num

ber

& D

ensi

ty o

f Spe

cial

ists

and

Med

ical

Offi

cers

in A

cute

Cur

ativ

e H

ospi

tals

in M

alay

sia

by S

tate

& S

ecto

r, 20

10, 2

011

& 2

013

Stat

eSe

ctor

*

Spec

ialis

tsM

edic

al O

ffice

rs

2010

2011

2013

2010

2011

2013

Number


Number


Number


Number


Number


Number


Neg

eri S

embi

lan

Publ

ic 1

23

- 1

19

- 15

4-

330

-

418

-

486

- N

eger

i Sem

bila

nPr

ivat

e 1

14

- 1

26

- 13

3-

21

- 2

2 -

32-

Neg

eri S

embi

lan

Tota

l 2

37

23.2

1 2

45

23.4

928

726

.82

351

3

4.38

4

40

42.

19

518

48.4

1M

elak

aPu

blic

95

- 7

8 -

111

- 2

61

- 3

61

- 44

0-

Mel

aka

Priv

ate

159

-

173

-

184

- 5

-

11

- 13

- M

elak

aTo

tal

254

30

.93

251

30

.13

295

34.6

1 2

66

32.

40

372

4

4.66

45

353

.14

Joho

rPu

blic

270

-

280

-

295

- 6

54

- 8

50

- 1,

025

- Jo

hor

Priv

ate

204

-

229

-

264

- 5

2 -

41

- 53

- Jo

hor

Tota

l 4

74

14.1

6 5

09

14.9

655

916

.08

706

2

1.09

8

91

26.

19

1,07

831

.00

Paha

ngPu

blic

184

-

169

-

187

- 3

41

- 4

56

- 57

0-

Paha

ngPr

ivat

e 4

9 -

59

- 74

- 1

5 -

15

- 13

- Pa

hang

Tota

l 2

33

15.5

2 2

28

14.9

526

116

.60

356

2

3.72

4

71

30.

89

583

37.0

7Te

reng

ganu

Publ

ic 1

08

- 1

10

13

4-

276

-

298

-

440

- Te

reng

ganu

Priv

ate

6

- 7

10-

5

- 5

-

3-

Tere

ngga

nuTo

tal

114

11

.00

117

10

.89

144

12.9

4 2

81

27.

12

303

2

8.21

44

339

.82

Kela

ntan

Publ

ic 3

30

- 3

65

37

9-

543

-

569

-

652

- Ke

lant

anPr

ivat

e 3

4 -

33

34

- 9

-

11

- 8

- Ke

lant

anTo

tal

364

23

.64

398

24

.64

413

24.7

9 5

52

35.

85

580

3

5.91

66

039

.62

Sara

wak

Publ

ic 1

88

- 1

92

23

3-

435

-

527

-

766

- Sa

raw

akPr

ivat

e 1

32

- 1

45

14

8-

37

- 3

7 -

39-

Sara

wak

Tota

l 3

20

12.9

5 3

37

13.3

938

114

.79

472

1

9.10

5

64

22.

41

805

31.2

6Sa

bah

Publ

ic 1

92

- 2

03

23

6-

466

-

634

-

825

- Sa

bah

Priv

ate

63

- 6

8

77-

5

- 5

-

3-

Saba

hTo

tal

255

7.

95 2

71

8.17

313

9.13

471

1

4.69

6

39

19.

27

828

24.1

5W

P La

buan

Publ

ic 4

-

4

7

- 8

-

12

- 29

- W

P La

buan

Priv

ate

na

- n

a

0-

na

- n

a -

0-

WP

Labu

anTo

tal

4

4.60

4

4.45

77.

50 8

9

.21

12

13.

36

2931

.08

Saba

h &

WP

Labu

anPu

blic

196

-

207

243

- 4

74

- 6

46

- 85

4-

Saba

h &

WP

Labu

anPr

ivat

e 6

3 -

68

77

- 5

-

5

- 3

- Sa

bah

& W

P La

buan

Tota

l 2

59

7.86

275

8.

0732

09.

09 4

79

14.

54

651

1

9.11

85

724

.34

Abb

revi

atio

n: -

not

ava

ilabl

e; n

a -

not a

pplic

able

Sela

ngor

& W

P Pu

traj

aya

& W

PKL

are

also

col

lect

ivel

y re

ferr

ed to

as

Kla

ng V

alle

y.

* Pu

blic

sec

tor

in 2

010

& 2

011

refe

rs to

MO

H a

nd U

nive

rsity

hos

pita

ls, w

hile

pub

lic s

ecto

r in

201

3 re

fers

to M

OH

, Uni

vers

ity, a

nd M

OD

hos

pita

ls.

Fo

r po

pula

tion

data

, ple

ase

refe

r App

endi

x 3:

Tab

le A

3.1

58


Tabl

e 4.

1.2

: Num

ber

& D

ensi

ty o

f Int

erna

l Med

icin

e Sp

ecia

lists

in A

cute

Cur

ativ

e H

ospi

tals

in M

alay

sia

by S

tate

& S

ecto

r, 20

10, 2

011

& 2

013

Stat

eSe

ctor

*

Inte

rnal

Med

icin

e Sp

ecia

lists

‡

2010

2011

2013

Num

ber

Per

100,

000

popu

lati

onN

umbe

rPe

r 10

0,00

0 po

pula

tion

Num

ber

Per

100,

000

popu

lati

onM

alay

sia

Publ

ic32

9-

327

- 36

8-

Mal

aysi

aPr

ivat

e14

9-

163

- 15

1-

Mal

aysi

aTo

tal

478

1.69

490

1.69

519

1.75

Perl

isPu

blic

5-

3-

4-

Perl

isPr

ivat

ena

- na

- 0

- Pe

rlis

Tota

l5

2.16

31.

264

1.66

Keda

hPu

blic

23-

26-

23-

Keda

hPr

ivat

e3

- 5

- 5

- Ke

dah

Tota

l26

1.33

311.

5728

1.39

Keda

h &

Per

lisPu

blic

28-

29-

27-

Keda

h &

Per

lisPr

ivat

e3

- 5

- 5

- Ke

dah

& P

erlis

Tota

l31

1.42

341.

5432

1.41

Pula

u Pi

nang

Publ

ic19

- 28

- 28

- Pu

lau

Pina

ngPr

ivat

e16

- 19

- 17

- Pu

lau

Pina

ngTo

tal

352.

2447

2.95

452.

76Pe

rak

Publ

ic19

- 18

- 26

- Pe

rak

Priv

ate

13-

15-

14-

Pera

kTo

tal

321.

3633

1.38

401.

64Se

lang

orPu

blic

63-

52-

66-

Sela

ngor

Priv

ate

21-

26-

25-

Sela

ngor

Tota

l84

1.54

781.

4091

1.59

WP

Putr

ajay

aPu

blic

5-

4-

12-

WP

Putr

ajay

aPr

ivat

ena

- na

- na

- W

P Pu

traj

aya

Tota

l5

6.90

45.

2412

14.5

5W

PKL

Publ

ic49

- 63

- 72

- W

PKL

Priv

ate

31-

29-

26-

WPK

LTo

tal

804.

7892

5.43

985.

66Se

lang

or &

WP

Putr

ajay

a &

WPK

LPu

blic

117

- 11

9-

150

- Se

lang

or &

WP

Putr

ajay

a &

WPK

LPr

ivat

e52

- 55

- 51

- Se

lang

or &

WP

Putr

ajay

a &

WPK

LTo

tal

169

2.34

174

2.37

201

2.67

Abb

revi

atio

n: -

not

ava

ilabl

e; n

a -

not a

pplic

able

Sela

ngor

& W

P Pu

traj

aya

& W

PKL

are

also

col

lect

ivel

y re

ferr

ed to

as

Kla

ng V

alle

y.

* Pu

blic

sec

tor

in 2

010

& 2

011

refe

rs to

MO

H a

nd U

nive

rsity

hos

pita

ls, w

hile

pub

lic s

ecto

r in

201

3 re

fers

to M

OH

, Uni

vers

ity, a

nd M

OD

hos

pita

ls.

‡ In

tern

al m

edic

ine

spec

ialis

ts E

XC

LUD

E sp

ecia

lists

from

the

med

ical

sub

spec

ialti

es (e

.g. c

ardi

olog

y, r

espi

rato

ry m

edic

ine,

nep

hrol

ogy,

etc

.) Fo

r po

pula

tion

data

, ple

ase

refe

r App

endi

x 3:

Tab

le A

3.1

59

CHAP

TER

4: H

OSPI

TAL

HEAL

TH W

ORKF

ORCE


Tabl

e 4.

1.2

[con

tinu

ed]:

Num

ber

& D

ensi

ty o

f Int

erna

l Med

icin

e Sp

ecia

lists

in A

cute

Cur

ativ

e H

ospi

tals

in M

alay

sia

by S

tate

& S

ecto

r, 20

10, 2

011

& 2

013

Stat

eSe

ctor

*

Inte

rnal

Med

icin

e Sp

ecia

lists

‡

2010

2011

2013

Num

ber

Per

100,

000

popu

lati

onN

umbe

rPe

r 10

0,00

0 po

pula

tion

Num

ber

Per

100,

000

popu

lati

onN

eger

i Sem

bila

nPu

blic

14-

10-

15-

Neg

eri S

embi

lan

Priv

ate

14-

17-

13-

Neg

eri S

embi

lan

Tota

l28

2.74

272.

5928

2.62

Mel

aka

Publ

ic12

- 7

- 9

- M

elak

aPr

ivat

e10

- 10

- 11

- M

elak

aTo

tal

222.

6817

2.04

202.

35Jo

hor

Publ

ic21

- 20

- 19

- Jo

hor

Priv

ate

13-

14-

19-

Joho

rTo

tal

341.

0234

1.00

381.

09Pa

hang

Publ

ic22

- 22

- 17

- Pa

hang

Priv

ate

9-

7-

5-

Paha

ngTo

tal

312.

0729

1.90

221.

40Te

reng

ganu

Publ

ic17

- 15

- 10

- Te

reng

ganu

Priv

ate

1-

1-

2-

Tere

ngga

nuTo

tal

181.

7416

1.49

121.

08Ke

lant

anPu

blic

15-

14-

14-

Kela

ntan

Priv

ate

3-

3-

1-

Kela

ntan

Tota

l18

1.17

171.

0515

0.90

Sara

wak

Publ

ic21

- 23

- 25

- Sa

raw

akPr

ivat

e10

- 11

- 9

- Sa

raw

akTo

tal

311.

2534

1.35

341.

32Sa

bah

Publ

ic23

- 21

- 27

- Sa

bah

Priv

ate

5-

6-

4-

Saba

hTo

tal

280.

8727

0.81

310.

90W

P La

buan

Publ

ic1

- 1

- 1

- W

P La

buan

Priv

ate

na-

na-

na-

WP

Labu

anTo

tal

11.

151

1.11

11.

07Sa

bah

& W

P La

buan

Publ

ic24

- 22

- 28

- Sa

bah

& W

P La

buan

Priv

ate

5-

6-

4-

Saba

h &

WP

Labu

anTo

tal

290.

8828

0.82

320.

91

Abb

revi

atio

n: -

not

ava

ilabl

e; n

a -

not a

pplic

able

Sela

ngor

& W

P Pu

traj

aya

& W

PKL

are

also

col

lect

ivel

y re

ferr

ed to

as

Kla

ng V

alle

y.

* Pu

blic

sec

tor

in 2

010

& 2

011

refe

rs to

MO

H a

nd U

nive

rsity

hos

pita

ls, w

hile

pub

lic s

ecto

r in

201

3 re

fers

to M

OH

, Uni

vers

ity, a

nd M

OD

hos

pita

ls.

‡ In

tern

al m

edic

ine

spec

ialis

ts E

XC

LUD

E sp

ecia

lists

from

the

med

ical

sub

spec

ialti

es (e

.g. c

ardi

olog

y, r

espi

rato

ry m

edic

ine,

nep

hrol

ogy,

etc

.) Fo

r po

pula

tion

data

, ple

ase

refe

r App

endi

x 3:

Tab

le A

3.1

60


Tabl

e 4.

1.3

: Num

ber

& D

ensi

ty o

f Car

diol

ogis

ts, R

espi

rato

ry M

edic

ine

Spec

ialis

ts a

nd N

ephr

olog

ists

in A

cute

Cur

ativ

e H

ospi

tals

in M

alay

sia

by S

tate

& S

ecto

r, 20

10, 2

011

& 2

013

Stat

eSe

ctor

*

Car

diol

ogis

tsR

espi

rato

ry M

edic

ine

Spec

ialis

tsN

ephr

olog

ists

2010

2011

2013

2010

2011

2013

2010

2011

2013

Number


Number


Number


Number


Number


Number


Number


Number


Number


Mal

aysi

aPu

blic

47-

39-

53-

30-

32-

35-

64-

62-

75-

Mal

aysi

aPr

ivat

e15

5-

160

- 19

4-

37-

36-

44-

43-

50-

58-

Mal

aysi

aTo

tal

202

0.71

199

0.6

9 24

70.

8367

0.24

680.

2379

0.27

107

0.38

112

0.39

133

0.45

Perl

isPu

blic

0-

0-

0-

0-

0-

0-

0-

0-

0-

Perl

isPr

ivat

ena

- na

- na

- na

- na

- na

- na

- na

- na

- Pe

rlis

Tota

l0

0.00

0 -

0

0.00

00.

000

0.00

00.

000

0.00

00.

000

0.00

Keda

hPu

blic

0-

1-

4-

2-

2-

4-

2-

2-

3-

Keda

hPr

ivat

e6

- 6

- 6

- 1

- 1

- 1

- 1

- 2

- 2

- Ke

dah

Tota

l6

0.31

7 0

.35

100.

493

0.15

30.

155

0.25

30.

154

0.20

50.

25Ke

dah

& P

erlis

Publ

ic0

- 1

- 4

- 2

- 2

- 4

- 2

- 2

- 3

- Ke

dah

& P

erlis

Priv

ate

6-

6-

6-

1-

1-

1-

1-

2-

2-

Keda

h &

Per

lisTo

tal

60.

287

0.3

2 10

0.44

30.

143

0.14

50.

223

0.14

40.

185

0.22

Pula

u Pi

nang

Publ

ic8

- 2

- 9

- 3

- 2

- 4

- 6

- 6

- 6

- Pu

lau

Pina

ngPr

ivat

e19

- 19

- 28

- 6

- 6

- 7

- 7

- 8

- 9

- Pu

lau

Pina

ngTo

tal

271.

7321

1.3

2 37

2.27

90.

588

0.50

110.

6813

0.83

140.

8815

0.92

Pera

kPu

blic

0-

1-

1-

2-

2-

3-

1-

1-

4-

Pera

kPr

ivat

e10

- 10

- 11

- 3

- 3

- 4

- 5

- 5

- 5

- Pe

rak

Tota

l10

0.43

11 0

.46

120.

495

0.21

50.

217

0.29

60.

266

0.25

90.

37Se

lang

orPu

blic

9-

7-

7-

1-

2-

3-

13-

12-

17-

Sela

ngor

Priv

ate

32-

33-

41-

14-

14-

17-

15-

17-

18-

Sela

ngor

Tota

l41

0.75

40 0

.72

480.

8415

0.27

160.

2920

0.35

280.

5129

0.52

350.

61W

P Pu

traj

aya

Publ

ic0

- 0

- 0

- 0

- 0

- 0

- 0

- 0

- 0

- W

P Pu

traj

aya

Priv

ate

na-

na-

na-

na-

na-

na-

na-

na-

na-

WP

Putr

ajay

aTo

tal

00.

000

-

00.

000

0.00

00.

000

0.00

00.

000

0.00

00.

00W

PKL

Publ

ic9

- 8

- 8

- 13

- 15

- 13

- 22

- 20

- 21

- W

PKL

Priv

ate

52-

52-

65-

11-

9-

11-

6-

6-

7-

WPK

LTo

tal

613.

6460

3.5

4 73

4.21

241.

4324

1.42

241.

3928

1.67

261.

5328

1.62

Sela

ngor

& W

P Pu

traj

aya

& W

PKL

Publ

ic18

- 15

- 15

- 14

- 17

- 16

- 35

- 32

- 38

- Se

lang

or &

WP

Putr

ajay

a &

WPK

LPr

ivat

e84

- 85

- 10

6-

25-

23-

28-

21-

23-

25-

Sela

ngor

& W

P Pu

traj

aya

& W

PKL

Tota

l10

21.

4110

0 1

.36

121

1.60

390.

5440

0.54

440.

5856

0.78

550.

7563

0.84

Abb

revi

atio

n: -

not

ava

ilabl

e; n

a -

not a

pplic

able

Sela

ngor

& W

P Pu

traj

aya

& W

PKL

are

also

col

lect

ivel

y re

ferr

ed to

as

Kla

ng V

alle

y.

* Pu

blic

sec

tor

in 2

010

& 2

011

refe

rs to

MO

H a

nd U

nive

rsity

hos

pita

ls, w

hile

pub

lic s

ecto

r in

201

3 re

fers

to M

OH

, Uni

vers

ity, a

nd M

OD

hos

pita

ls.

Fo

r po

pula

tion

data

, ple

ase

refe

r App

endi

x 3:

Tab

le A

3.1

61

CHAP

TER

4: H

OSPI

TAL

HEAL

TH W

ORKF

ORCE


Tabl

e 4.

1.3

[con

tinu

ed]:

Num

ber

& D

ensi

ty o

f Car

diol

ogis

ts, R

espi

rato

ry M

edic

ine

Spec

ialis

ts a

nd N

ephr

olog

ists

in A

cute

Cur

ativ

e H

ospi

tals

in M

alay

sia

by S

tate

&

Sect

or, 2

010,

201

1 &

201

3

Stat

eSe

ctor

*

Car

diol

ogis

tsR

espi

rato

ry M

edic

ine

Spec

ialis

tsN

ephr

olog

ists

2010

2011

2013

2010

2011

2013

2010

2011

2013

Number


Number


Number


Number


Number


Number


Number


Number


Number


Neg

eri S

embi

lan

Publ

ic0

- 0

- 0

- 0

- 0

- 0

- 2

- 2

- 3

- N

eger

i Sem

bila

nPr

ivat

e3

- 4

- 5

- 1

- 1

- 1

- 2

- 2

- 3

- N

eger

i Sem

bila

nTo

tal

30.

294

0.3

8 5

0.47

10.

101

0.10

10.

094

0.39

40.

386

0.56

Mel

aka

Publ

ic0

- 0

- 0

- 0

- 0

- 0

- 1

- 1

- 2

- M

elak

aPr

ivat

e11

- 11

- 11

- 1

- 1

- 1

- 3

- 4

- 3

- M

elak

aTo

tal

111.

3411

1.3

2 11

1.29

10.

121

0.12

10.

124

0.49

50.

605

0.59

Joho

rPu

blic

5-

5-

6-

2-

2-

1-

3-

3-

4-

Joho

rPr

ivat

e6

- 8

- 9

- 0

- 0

- 0

- 1

- 2

- 3

- Jo

hor

Tota

l11

0.33

13 0

.38

150.

432

0.06

20.

061

0.03

40.

125

0.15

70.

20Pa

hang

Publ

ic3

- 2

- 2

- 1

- 1

- 1

- 2

- 2

- 3

- Pa

hang

Priv

ate

1-

2-

2-

0-

1-

1-

0-

0-

1-

Paha

ngTo

tal

40.

274

0.2

6 4

0.25

10.

072

0.13

20.

132

0.13

20.

134

0.25

Tere

ngga

nuPu

blic

0-

0-

3-

1-

0-

1-

1-

2-

2-

Tere

ngga

nuPr

ivat

e1

- 1

- 1

- 0

- 0

- 0

- 0

- 0

- 0

- Te

reng

ganu

Tota

l1

0.10

1 0

.09

40.

361

0.10

00.

001

0.09

10.

102

0.19

20.

18Ke

lant

anPu

blic

3-

3-

3-

1-

2-

1-

4-

4-

5-

Kela

ntan

Priv

ate

2-

2-

2-

0-

0-

1-

0-

1-

1-

Kela

ntan

Tota

l5

0.32

5 0

.31

50.

301

0.06

20.

122

0.12

40.

265

0.31

60.

36Sa

raw

akPu

blic

7-

6-

8-

0-

0-

2-

3-

3-

4-

Sara

wak

Priv

ate

9-

9-

9-

0-

0-

0-

2-

2-

2-

Sara

wak

Tota

l16

0.65

15 0

.60

170.

660

0.00

00.

002

0.08

50.

205

0.20

60.

23Sa

bah

Publ

ic3

- 4

- 2

- 4

- 4

- 2

- 4

- 4

- 1

- Sa

bah

Priv

ate

3-

3-

4-

0-

0-

0-

1-

1-

4-

Saba

hTo

tal

60.

197

0.2

1 6

0.18

40.

124

0.12

20.

065

0.16

50.

155

0.15

WP

Labu

anPu

blic

0-

0-

0-

0-

0-

0-

0-

0-

0-

WP

Labu

anPr

ivat

ena

- na

- na

- na

- na

- na

- na

- na

- na

- W

P La

buan

Tota

l0

0.00

0 -

0

0.00

00.

000

0.00

00.

000

0.00

00.

000

0.00

Saba

h &

WP

Labu

anPu

blic

3-

4-

2-

4-

4-

2-

4-

4-

1-

Saba

h &

WP

Labu

anPr

ivat

e3

- 3

- 4

- 0

- 0

- 0

- 1

- 1

- 4

- Sa

bah

& W

P La

buan

Tota

l6

0.18

7 0

.21

60.

174

0.12

40.

122

0.06

50.

155

0.15

50.

14

Abb

revi

atio

n: -

not

ava

ilabl

e; n

a -

not a

pplic

able

Sela

ngor

& W

P Pu

traj

aya

& W

PKL

are

also

col

lect

ivel

y re

ferr

ed to

as

Kla

ng V

alle

y.

* Pu

blic

sec

tor

in 2

010

& 2

011

refe

rs to

MO

H a

nd U

nive

rsity

hos

pita

ls, w

hile

pub

lic s

ecto

r in

201

3 re

fers

to M

OH

, Uni

vers

ity, a

nd M

OD

hos

pita

ls.

For

popu

latio

n da

ta, p

leas

e re

fer A

ppen

dix

3: T

able

A3.

1

62


Tabl

e 4.

1.4

: Num

ber

& D

ensi

ty o

f End

ocri

nolo

gist

s, N

euro

logi

sts

and

Rhe

umat

olog

ists

in A

cute

Cur

ativ

e H

ospi

tals

in M

alay

sia

by S

tate

& S

ecto

r, 20

10, 2

011

& 2

013

Stat

eSe

ctor

*

Endo

crin

olog

ists

Neu

rolo

gist

sR

heum

atol

ogis

ts

2010

2011

2013

2010

2011

2013

2010

2011

2013

Number


Number


Number


Number


Number


Number


Number


Number


Number


Mal

aysi

aPu

blic

33-

34-

36-

28-

30-

41-

25-

26-

40-

Mal

aysi

aPr

ivat

e19

- 18

- 23

- 35

- 36

- 42

- 13

- 14

- 15

- M

alay

sia

Tota

l52

0.18

52 0

.18

590.

2063

0.22

66 0

.23

830.

2838

0.13

400.

1455

0.19

Perl

isPu

blic

0-

0-

0-

0-

0-

0-

0-

0-

0-

Perl

isPr

ivat

ena

- na

- na

- na

- na

- na

- na

- na

- na

- Pe

rlis

Tota

l0

0.00

00.

000

0.00

00.

000

0.00

00.

000

0.00

00.

000

0.00

Keda

hPu

blic

0-

0-

1-

0-

0-

1-

0-

0-

0-

Keda

hPr

ivat

e0

- 0

- 0

- 1

- 1

- 1

- 0

- 0

- 0

- Ke

dah

Tota

l0

0.00

00.

001

0.05

10.

051

0.0

5 2

0.10

00.

000

0.00

00.

00Ke

dah

& P

erlis

Publ

ic0

- 0

- 1

- 0

- 0

- 1

- 0

- 0

- 0

- Ke

dah

& P

erlis

Priv

ate

0-

0-

0-

1-

1-

1-

0-

0-

0-

Keda

h &

Per

lisTo

tal

00.

000

0.00

10.

041

0.05

1 0

.05

20.

090

0.00

00.

000

0.00

Pula

u Pi

nang

Publ

ic2

- 2

- 4

- 3

- 3

- 2

- 0

- 0

- 2

- Pu

lau

Pina

ngPr

ivat

e4

- 3

- 2

- 5

- 5

- 6

- 1

- 1

- 1

- Pu

lau

Pina

ngTo

tal

60.

385

0.3

1 6

0.37

80.

518

0.5

0 8

0.49

10.

061

0.06

30.

18Pe

rak

Publ

ic1

- 1

- 2

- 0

- 1

- 0

- 1

- 1

- 1

- Pe

rak

Priv

ate

1-

1-

1-

2-

2-

2-

1-

1-

1-

Pera

kTo

tal

20.

092

0.0

8 3

0.12

20.

093

0.1

3 2

0.08

20.

092

0.08

20.

08Se

lang

orPu

blic

2-

2-

4-

0-

0-

1-

7-

6-

9-

Sela

ngor

Priv

ate

8-

9-

10-

11-

11-

15-

5-

6-

6-

Sela

ngor

Tota

l10

0.18

11 0

.20

140.

2411

0.20

11 0

.20

160.

2812

0.22

120.

2215

0.26

WP

Putr

ajay

aPu

blic

8-

8-

5-

0-

0-

0-

5-

5-

4-

WP

Putr

ajay

aPr

ivat

ena

- na

- na

- na

- na

- na

- na

- na

- na

- W

P Pu

traj

aya

Tota

l8

11.0

58

10.4

7 5

6.06

00.

000

0.00

00.

005

6.90

56.

544

4.85

WPK

LPu

blic

13-

13-

12-

22-

20-

28-

3-

3-

6-

WPK

LPr

ivat

e5

- 5

- 8

- 10

- 10

- 10

- 4

- 4

- 4

- W

PKL

Tota

l18

1.07

18 1

.06

201.

1532

1.91

30 1

.77

382.

197

0.42

70.

4110

0.58

Sela

ngor

& W

P Pu

traj

aya

& W

PKL

Publ

ic23

- 23

- 21

- 22

- 20

- 29

- 15

- 14

- 19

- Se

lang

or &

WP

Putr

ajay

a &

WPK

LPr

ivat

e13

- 14

- 18

- 21

- 21

- 25

- 9

- 10

- 10

- Se

lang

or &

WP

Putr

ajay

a &

WPK

LTo

tal

360.

5037

0.5

0 39

0.52

430.

6041

0.5

6 54

0.72

240.

3324

0.33

290.

38

Abb

revi

atio

n: -

not

ava

ilabl

e; n

a -

not a

pplic

able

Sela

ngor

& W

P Pu

traj

aya

& W

PKL

are

also

col

lect

ivel

y re

ferr

ed to

as

Kla

ng V

alle

y.

* Pu

blic

sec

tor

in 2

010

& 2

011

refe

rs to

MO

H a

nd U

nive

rsity

hos

pita

ls, w

hile

pub

lic s

ecto

r in

201

3 re

fers

to M

OH

, Uni

vers

ity, a

nd M

OD

hos

pita

ls.

For

popu

latio

n da

ta, p

leas

e re

fer A

ppen

dix

3: T

able

A3.

1

63

CHAP

TER

4: H

OSPI

TAL

HEAL

TH W

ORKF

ORCE


Tabl

e 4.

1.4

[con

tinu

ed]:

Num

ber

& D

ensi

ty o

f End

ocri

nolo

gist

s, N

euro

logi

sts

and

Rhe

umat

olog

ists

in A

cute

Cur

ativ

e H

ospi

tals

in M

alay

sia

by S

tate

& S

ecto

r, 20

10, 2

011

& 2

013

Stat

eSe

ctor

*

Endo

crin

olog

ists

Neu

rolo

gist

sR

heum

atol

ogis

ts

2010

2011

2013

2010

2011

2013

2010

2011

2013

Number


Number


Number


Number


Number


Number


Number


Number


Number


Neg

eri S

embi

lan

Publ

ic1

- 1

- -

00

- 0

- 0

- 3

- 3

- 5

- N

eger

i Sem

bila

nPr

ivat

e0

- 0

- -

11

- 1

- 1

- 1

- 1

- 1

- N

eger

i Sem

bila

nTo

tal

10.

101

0.1

0 0.

091

10.

101

0.1

0 1

0.09

40.

394

0.38

60.

56M

elak

aPu

blic

1-

1-

- 1

1-

1-

0-

1-

1-

1-

Mel

aka

Priv

ate

0-

0-

- 1

1-

3-

3-

0-

0-

0-

Mel

aka

Tota

l1

0.12

1 0

.12

0.12

22

0.24

4 0

.48

30.

351

0.12

10.

121

0.12

Joho

rPu

blic

0-

0-

- 0

0-

0-

2-

1-

1-

1-

Joho

rPr

ivat

e0

- 0

- -

11

- 1

- 2

- 1

- 1

- 1

- Jo

hor

Tota

l0

0.00

00.

000.

001

10.

031

0.0

3 4

0.12

20.

062

0.06

20.

06Pa

hang

Publ

ic0

- 0

- -

00

- 1

- 1

- 1

- 1

- 1

- Pa

hang

Priv

ate

0-

0-

- 0

0-

0-

0-

0-

0-

0-

Paha

ngTo

tal

00.

000

0.00

0.06

00

0.00

1 0

.07

10.

061

0.07

10.

071

0.06

Tere

ngga

nuPu

blic

0-

0-

- 0

0-

1-

2-

1-

1-

1-

Tere

ngga

nuPr

ivat

e0

- 0

- -

00

- 0

- 0

- 0

- 0

- 0

- Te

reng

ganu

Tota

l0

0.00

00.

000.

000

00.

001

0.0

9 2

0.18

10.

101

0.09

10.

09Ke

lant

anPu

blic

3-

4-

- 2

2-

2-

3-

0-

1-

3-

Kela

ntan

Priv

ate

0-

0-

- 0

0-

0-

0-

0-

0-

1-

Kela

ntan

Tota

l3

0.19

4 0

.25

0.24

22

0.13

2 0

.12

30.

180

0.00

10.

064

0.24

Sara

wak

Publ

ic1

- 1

- -

00

- 1

- 1

- 1

- 1

- 4

- Sa

raw

akPr

ivat

e1

- 0

- -

22

- 1

- 1

- 0

- 0

- 0

- Sa

raw

akTo

tal

20.

081

0.0

4 0.

082

20.

082

0.0

8 2

0.08

10.

041

0.04

40.

16Sa

bah

Publ

ic1

- 1

- -

00

- 0

- 0

- 1

- 2

- 2

- Sa

bah

Priv

ate

0-

0-

- 1

1-

1-

1-

0-

0-

0-

Saba

hTo

tal

10.

031

0.0

3 0.

031

10.

031

0.0

3 1

0.03

10.

032

0.06

20.

06W

P La

buan

Publ

ic0

- 0

- -

00

- 0

- 0

- 0

- 0

- 0

- W

P La

buan

Priv

ate

na-

na-

- na

na-

na-

na-

na-

na-

na-

WP

Labu

anTo

tal

00.

000

0.00

0.00

00

0.00

00.

000

0.00

00.

000

0.00

00.

00Sa

bah

& W

P La

buan

Publ

ic1

- 1

- -

00

- 0

- 0

- 1

- 2

- 2

- Sa

bah

& W

P La

buan

Priv

ate

0-

0-

- 1

1-

1-

1-

0-

0-

0-

Saba

h &

WP

Labu

anTo

tal

10.

031

0.0

3 0.

031

10.

031

0.0

3 1

0.03

10.

032

0.06

20.

06

Abb

revi

atio

n: -

not

ava

ilabl

e; n

a -

not a

pplic

able

Sela

ngor

& W

P Pu

traj

aya

& W

PKL

are

also

col

lect

ivel

y re

ferr

ed to

as

Kla

ng V

alle

y.

* Pu

blic

sec

tor

in 2

010

& 2

011

refe

rs to

MO

H a

nd U

nive

rsity

hos

pita

ls, w

hile

pub

lic s

ecto

r in

201

3 re

fers

to M

OH

, Uni

vers

ity, a

nd M

OD

hos

pita

ls.

Fo

r po

pula

tion

data

, ple

ase

refe

r App

endi

x 3:

Tab

le A

3.1

64


Tabl

e 4.

1.5

: Num

ber

& D

ensi

ty o

f Gas

troe

nter

olog

ists

, Hep

atol

ogis

ts a

nd C

linic

al H

aem

atol

ogis

ts in

Acu

te C

urat

ive

Hos

pita

ls in

Mal

aysi

a by

Sta

te &

Sec

tor,

2010

, 201

1 &

201

3

Stat

eSe

ctor

*

Gas

troe

nter

olog

ists

Hep

atol

ogis

tsC

linic

al H

aem

atol

ogis

ts

2010

2011

2013

2010

2011

2013

2010

2011

2013

Number


Number


Number


Number


Number


Number


Number


Number


Number


Mal

aysi

aPu

blic

35-

29-

37-

5-

9-

6-

31-

34-

39-

Mal

aysi

aPr

ivat

e71

- 76

- 87

- 0

- 0

- 3

- 10

- 11

- 12

- M

alay

sia

Tota

l10

60.

3710

5 0

.36

124

0.42

50.

029

0.0

3 9

0.03

410.

1445

0.16

510.

17Pe

rlis

Publ

ic0

- 0

- 1

- 0

- 0

- 0

- 0

- 0

- 0

- Pe

rlis

Priv

ate

na-

na-

0-

na-

na-

0-

na-

na-

0-

Perl

isTo

tal

00.

000

0.00

10.

410

0.00

00.

000

0.00

00.

000

0.00

00.

00Ke

dah

Publ

ic3

- 3

- 3

- 0

- 0

- 0

- 0

- 0

- 1

- Ke

dah

Priv

ate

3-

3-

3-

0-

0-

0-

0-

0-

0-

Keda

hTo

tal

60.

316

0.3

0 6

0.30

00.

000

0.00

00.

000

0.00

00.

001

0.05

Keda

h &

Per

lisPu

blic

3-

3-

4-

0-

0-

0-

0-

0-

1-

Keda

h &

Per

lisPr

ivat

e3

- 3

- 3

- 0

- 0

- 0

- 0

- 0

- 0

- Ke

dah

& P

erlis

Tota

l6

0.28

6 0

.27

70.

310

0.00

00.

000

0.00

00.

000

0.00

10.

04Pu

lau

Pina

ngPu

blic

1-

1-

1-

0-

0-

0-

2-

2-

3-

Pula

u Pi

nang

Priv

ate

9-

9-

9-

0-

0-

0-

2-

2-

2-

Pula

u Pi

nang

Tota

l10

0.64

10 0

.63

100.

610

0.00

00.

000

0.00

40.

264

0.25

50.

31Pe

rak

Publ

ic1

- 0

- 0

- 0

- 0

- 0

- 1

- 1

- 1

- Pe

rak

Priv

ate

4-

4-

4-

0-

0-

1-

0-

1-

1-

Pera

kTo

tal

50.

214

0.1

7 4

0.16

00.

000

0.00

10.

041

0.04

20.

082

0.08

Sela

ngor

Publ

ic5

- 4

- 8

- 4

- 7

- 5

- 17

- 18

- 15

- Se

lang

orPr

ivat

e24

- 26

- 33

- 0

- 0

- 0

- 3

- 3

- 4

- Se

lang

orTo

tal

290.

5330

0.5

4 41

0.72

40.

077

0.1

3 5

0.09

200.

3721

0.38

190.

33W

P Pu

traj

aya

Publ

ic0

- 0

- 0

- 0

- 0

- 0

- 0

- 0

- 0

- W

P Pu

traj

aya

Priv

ate

na-

na-

0-

na-

na-

0-

na-

na-

na-

WP

Putr

ajay

aTo

tal

00.

000

0.00

00.

000

0.00

00.

000

0.00

00.

000

0.00

00.

00W

PKL

Publ

ic12

- 12

- 15

- 1

- 2

- 1

- 8

- 7

- 8

- W

PKL

Priv

ate

17-

20-

19-

0-

0-

2-

3-

3-

3-

WPK

LTo

tal

291.

7332

1.8

9 34

1.96

10.

062

0.1

2 3

0.17

110.

6610

0.59

110.

64Se

lang

or &

WP

Putr

ajay

a &

WPK

LPu

blic

17-

16-

23-

5-

9-

6-

25-

25-

23-

Sela

ngor

& W

P Pu

traj

aya

& W

PKL

Priv

ate

41-

46-

52-

0-

0-

2-

6-

6-

7-

Sela

ngor

& W

P Pu

traj

aya

& W

PKL

Tota

l58

0.80

62 0

.84

750.

995

0.07

9 0

.12

80.

1131

0.43

310.

4230

0.40

Abb

revi

atio

n: -

not

ava

ilabl

e; n

a -

not a

pplic

able

Sela

ngor

& W

P Pu

traj

aya

& W

PKL

are

also

col

lect

ivel

y re

ferr

ed to

as

Kla

ng V

alle

y.

* Pu

blic

sec

tor

in 2

010

& 2

011

refe

rs to

MO

H a

nd U

nive

rsity

hos

pita

ls, w

hile

pub

lic s

ecto

r in

201

3 re

fers

to M

OH

, Uni

vers

ity, a

nd M

OD

hos

pita

ls.

Fo

r po

pula

tion

data

, ple

ase

refe

r App

endi

x 3:

Tab

le A

3.1

65

CHAP

TER

4: H

OSPI

TAL

HEAL

TH W

ORKF

ORCE


Tabl

e 4.

1.5

[con

tinu

ed]:

Num

ber

& D

ensi

ty o

f Gas

troe

nter

olog

ists

, Hep

atol

ogis

ts a

nd C

linic

al H

aem

atol

ogis

ts in

Acu

te C

urat

ive

Hos

pita

ls in

Mal

aysi

a by

Sta

te &

Se

ctor

, 201

0, 2

011

& 2

013

Stat

eSe

ctor

*

Gas

troe

nter

olog

ists

Hep

atol

ogis

tsC

linic

al H

aem

atol

ogis

ts

2010

2011

2013

2010

2011

2013

2010

2011

2013

Number


Number


Number


Number


Number


Number


Number


Number


Number


Neg

eri S

embi

lan

Publ

ic0

- 0

- 0

- 0

- 0

- 0

- 0

- 0

- 0

- N

eger

i Sem

bila

nPr

ivat

e1

- 1

- 2

- 0

- 0

- 0

- 0

- 0

- 0

- N

eger

i Sem

bila

nTo

tal

10.

101

0.1

0 2

0.19

00.

000

0.00

00.

000

0.00

00.

000

0.00

Mel

aka

Publ

ic1

- 0

- 0

- 0

- 0

- 0

- 0

- 0

- 1

- M

elak

aPr

ivat

e5

- 6

- 6

- 0

- 0

- 0

- 1

- 1

- 1

- M

elak

aTo

tal

60.

736

0.7

2 6

0.70

00.

000

0.00

00.

001

0.12

10.

122

0.23

Joho

rPu

blic

0-

0-

2-

0-

0-

0-

0-

0-

1-

Joho

rPr

ivat

e4

- 4

- 6

- 0

- 0

- 0

- 0

- 0

- 0

- Jo

hor

Tota

l4

0.12

4 0

.12

80.

230

0.00

00.

000

0.00

00.

000

0.00

10.

03Pa

hang

Publ

ic1

- 1

- 1

- 0

- 0

- 0

- 0

- 0

- 1

- Pa

hang

Priv

ate

0-

0-

0-

0-

0-

0-

0-

0-

0-

Paha

ngTo

tal

10.

071

0.0

7 1

0.06

00.

000

0.00

00.

000

0.00

00.

001

0.06

Tere

ngga

nuPu

blic

0-

0-

0-

0-

0-

0-

0-

0-

0-

Tere

ngga

nuPr

ivat

e0

- 0

- 0

- 0

- 0

- 0

- 0

- 0

- 0

- Te

reng

ganu

Tota

l0

0.00

00.

000

0.00

00.

000

0.00

00.

000

0.00

00.

000

0.00

Kela

ntan

Publ

ic8

- 5

- 4

- 0

- 0

- 0

- 1

- 3

- 4

- Ke

lant

anPr

ivat

e0

- 0

- 0

- 0

- 0

- 0

- 0

- 0

- 0

- Ke

lant

anTo

tal

80.

525

0.3

1 4

0.24

00.

000

0.00

00.

001

0.06

30.

194

0.24

Sara

wak

Publ

ic0

- 0

- 0

- 0

- 0

- 0

- 1

- 1

- 2

- Sa

raw

akPr

ivat

e2

- 2

- 3

- 0

- 0

- 0

- 1

- 1

- 1

- Sa

raw

akTo

tal

20.

082

0.0

8 3

0.12

00.

000

0.00

00.

002

0.08

20.

083

0.12

Saba

hPu

blic

3-

3-

2-

0-

0-

0-

1-

2-

2-

Saba

hPr

ivat

e2

- 1

- 2

- 0

- 0

- 0

- 0

- 0

- 0

- Sa

bah

Tota

l5

0.16

4 0

.12

40.

120

0.00

00.

000

0.00

10.

032

0.06

20.

06W

P La

buan

Publ

ic0

- 0

- 0

- 0

- 0

- 0

- 0

- 0

- 0

- W

P La

buan

Priv

ate

na-

na-

0-

na-

na-

0-

na-

na-

na-

WP

Labu

anTo

tal

00.

000

0.00

00.

000

0.00

00.

000

0.00

00.

000

0.00

00.

00Sa

bah

& W

P La

buan

Publ

ic3

- 3

- 2

- 0

- 0

- 0

- 1

- 2

- 2

- Sa

bah

& W

P La

buan

Priv

ate

2-

1-

2-

0-

0-

0-

0-

0-

0-

Saba

h &

WP

Labu

anTo

tal

50.

154

0.1

2 4

0.11

00.

000

0.00

00.

001

0.03

20.

062

0.06

Abb

revi

atio

n: -

not

ava

ilabl

e; n

a -

not a

pplic

able

Sela

ngor

& W

P Pu

traj

aya

& W

PKL

are

also

col

lect

ivel

y re

ferr

ed to

as

Kla

ng V

alle

y.

* Pu

blic

sec

tor

in 2

010

& 2

011

refe

rs to

MO

H a

nd U

nive

rsity

hos

pita

ls, w

hile

pub

lic s

ecto

r in

201

3 re

fers

to M

OH

, Uni

vers

ity, a

nd M

OD

hos

pita

ls.

Fo

r po

pula

tion

data

, ple

ase

refe

r App

endi

x 3:

Tab

le A

3.1

66


Tabl

e 4.

1.6

: Num

ber

& D

ensi

ty o

f Ger

iatr

icia

ns, I

nfec

tiou

s D

isea

se S

peci

alis

ts a

nd D

erm

atol

ogis

ts in

Acu

te C

urat

ive

Hos

pita

ls in

Mal

aysi

a by

Sta

te &

Sec

tor,

2010

, 201

1 &

201

3

Stat

eSe

ctor

*

Ger

iatr

icia

nsIn

fect

ious

Dis

ease

Spe

cial

ists

Der

mat

olog

ists

2010

2011

2013

2010

2011

2013

2010

2011

2013

Number

Per 100,000 Geriatric

Population

Number


Population

Number


Population

Number


Number


Number


Number


Number


Number


Mal

aysi

aPu

blic

6-

7-

12-

16-

15-

23-

38-

42-

39-

Mal

aysi

aPr

ivat

e4

- 5

- 5

- 3

- 3

- 3

- 38

- 38

- 47

- M

alay

sia

Tota

l10

0.44

120.

5117

0.67

190.

0718

0.06

260.

0976

0.27

80 0

.28

860.

29Pe

rlis

Publ

ic0

- 0

- 0

- 0

- 0

- 0

- 1

- 1

- 2

- Pe

rlis

Priv

ate

na-

na-

0-

na-

na-

0-

na-

na-

na-

Perl

isTo

tal

00.

000

0.00

00.

000

0.00

00.

000

0.00

10.

431

0.4

2 2

0.83

Keda

hPu

blic

0-

0-

0-

0-

0-

1-

1-

1-

1-

Keda

hPr

ivat

e0

- 0

- 0

- 0

- 0

- 0

- 1

- 1

- 1

- Ke

dah

Tota

l0

0.00

00.

000

0.00

00.

000

0.00

10.

052

0.10

2 0

.10

20.

10Ke

dah

& P

erlis

Publ

ic0

- 0

- 0

- 0

- 0

- 1

- 2

- 2

- 3

- Ke

dah

& P

erlis

Priv

ate

0-

0-

0-

0-

0-

0-

1-

1-

1-

Keda

h &

Per

lisTo

tal

00.

000

0.00

00.

000

0.00

00.

001

0.04

30.

143

0.1

4 4

0.18

Pula

u Pi

nang

Publ

ic0

- 0

- 0

- 2

- 2

- 3

- 2

- 2

- 1

- Pu

lau

Pina

ngPr

ivat

e0

- 0

- 0

- 0

- 0

- 0

- 4

- 4

- 5

- Pu

lau

Pina

ngTo

tal

00.

000

0.00

00.

002

0.13

20.

133

0.18

60.

386

0.3

8 6

0.37

Pera

kPu

blic

0-

0-

1-

1-

1-

1-

1-

1-

1-

Pera

kPr

ivat

e2

- 2

- 2

- 0

- 0

- 0

- 5

- 5

- 5

- Pe

rak

Tota

l2

0.71

20.

693

0.97

10.

041

0.04

10.

046

0.26

6 0

.25

60.

25Se

lang

orPu

blic

0-

0-

0-

5-

5-

6-

2-

2-

4-

Sela

ngor

Priv

ate

0-

0-

0-

2-

2-

1-

13-

11-

18-

Sela

ngor

Tota

l0

0.00

00.

000

0.00

70.

137

0.13

70.

1215

0.27

13 0

.23

220.

38W

P Pu

traj

aya

Publ

ic0

- 0

- 0

- 0

- 0

- 0

- 0

- 0

- 1

- W

P Pu

traj

aya

Priv

ate

na-

na-

0-

na-

na-

0-

na-

na-

na-

WP

Putr

ajay

aTo

tal

00.

000

0.00

00.

000

0.00

00.

000

0.00

00.

000

0.00

11.

21W

PKL

Publ

ic4

- 5

- 8

- 4

- 3

- 5

- 18

- 21

- 18

- W

PKL

Priv

ate

1-

2-

2-

0-

0-

1-

9-

11-

12-

WPK

LTo

tal

53.

917

5.30

106.

804

0.24

30.

186

0.35

271.

6132

1.8

9 30

1.73

Sela

ngor

& W

P Pu

traj

aya

& W

PKL

Publ

ic4

- 5

- 8

- 9

- 8

- 11

- 20

- 23

- 23

- Se

lang

or &

WP

Putr

ajay

a &

WPK

LPr

ivat

e1

- 2

- 2

- 2

- 2

- 2

- 22

- 22

- 30

- Se

lang

or &

WP

Putr

ajay

a &

WPK

LTo

tal

51.

087

1.46

101.

8811

0.15

100.

1413

0.17

420.

5845

0.6

1 53

0.70

Abb

revi

atio

n: -

not

ava

ilabl

e; n

a -

not a

pplic

able

Sela

ngor

& W

P Pu

traj

aya

& W

PKL

are

also

col

lect

ivel

y re

ferr

ed to

as

Kla

ng V

alle

y.

*

Publ

ic s

ecto

r in

201

0 &

201

1 re

fers

to M

OH

and

Uni

vers

ity h

ospi

tals

, whi

le p

ublic

sec

tor

in 2

013

refe

rs to

MO

H, U

nive

rsity

, and

MO

D h

ospi

tals

.

For

popu

latio

n da

ta, p

leas

e re

fer A

ppen

dix

3: T

able

A3.

1 &

Tab

le A

3.13

67

CHAP

TER

4: H

OSPI

TAL

HEAL

TH W

ORKF

ORCE


Tabl

e 4.

1.6

[con

tinu

ed]:

Num

ber

& D

ensi

ty o

f Ger

iatr

icia

ns, I

nfec

tiou

s D

isea

se S

peci

alis

ts a

nd D

erm

atol

ogis

ts in

Acu

te C

urat

ive

Hos

pita

ls in

Mal

aysi

a by

Sta

te &

Sec

-to

r, 20

10, 2

011

& 2

013

Stat

eSe

ctor

*

Ger

iatr

icia

nsIn

fect

ious

Dis

ease

Spe

cial

ists

Der

mat

olog

ists

2010

2011

2013

2010

2011

2013

2010

2011

2013

Number


Population

Number


Population

Number


Population

Number


Number


Number


Number


Number


Number


Neg

eri S

embi

lan

Publ

ic0

- 0

- 0

- 0

- 0

- 0

- 1

- 2

- 1

- N

eger

i Sem

bila

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ivat

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203

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aka

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242

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hang

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ic0

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ate

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00Ke

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blic

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ate

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000

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20.

132

0.12

30.

183

0.19

3 0

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20.

12Sa

raw

akPu

blic

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1-

1-

0-

0-

1-

1-

1-

1-

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wak

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ate

1-

1-

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0-

0-

0-

1-

1-

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wak

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l2

5.28

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041

0.42

00.

000

0.00

10.

042

0.08

2 0

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20.

08Sa

bah

Publ

ic1

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- 1

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- 1

- 1

- 1

- 1

- 1

- Sa

bah

Priv

ate

0-

0-

0-

0-

0-

0-

1-

1-

1-

Saba

hTo

tal

10.

721

0.66

10.

601

0.03

10.

031

0.03

20.

062

0.0

6 2

0.06

WP

Labu

anPu

blic

0-

0-

0-

0-

0-

0-

0-

0-

0-

WP

Labu

anPr

ivat

ena

- na

- 0

- na

- na

- 0

- na

- na

- na

- W

P La

buan

Tota

l0

0.00

00.

000

0.00

00.

000

0.00

00.

000

0.00

00.

000

0.00

Saba

h &

WP

Labu

anPu

blic

1-

0-

1-

1-

1-

1-

1-

1-

1-

Saba

h &

WP

Labu

anPr

ivat

e0

- 0

- 0

- 0

- 0

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- 1

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- 1

- Sa

bah

& W

P La

buan

Tota

l1

0.70

00.

001

0.58

10.

031

0.03

10.

032

0.06

2 0

.06

20.

06

Abb

revi

atio

n: -

not

ava

ilabl

e; n

a -

not a

pplic

able

Sela

ngor

& W

P Pu

traj

aya

& W

PKL

are

also

col

lect

ivel

y re

ferr

ed to

as

Kla

ng V

alle

y.

*

Publ

ic s

ecto

r in

201

0 &

201

1 re

fers

to M

OH

and

Uni

vers

ity h

ospi

tals

, whi

le p

ublic

sec

tor

in 2

013

refe

rs to

MO

H, U

nive

rsity

, and

MO

D h

ospi

tals

.

For

popu

latio

n da

ta, p

leas

e re

fer A

ppen

dix

3: T

able

A3.

1 &

Tab

le A

3.13

68


Tabl

e 4.

1.7

: Num

ber

& D

ensi

ty o

f Gen

eral

Sur

geon

s in

Acu

te C

urat

ive

Hos

pita

ls in

Mal

aysi

a by

Sta

te &

Sec

tor,

2010

, 201

1 &

201

3

Stat

eSe

ctor

*

Gen

eral

Sur

geon

s ‡

2010

2011

2013

Num

ber

Per

100,

000

popu

lati

onN

umbe

rPe

r 10

0,00

0 po

pula

tion

Num

ber

Per

100,

000

popu

lati

on

Mal

aysi

aPu

blic

303

- 29

7-

308

- M

alay

sia

Priv

ate

240

- 25

8-

296

- M

alay

sia

Tota

l54

31.

9255

51.

9260

42.

03Pe

rlis

Publ

ic2

- 3

- 4

- Pe

rlis

Priv

ate

na-

na-

na-

Perl

isTo

tal

20.

863

1.26

41.

66Ke

dah

Publ

ic23

- 22

- 14

- Ke

dah

Priv

ate

10-

11-

12-

Keda

hTo

tal

331.

6933

1.67

261.

29Ke

dah

& P

erlis

Publ

ic25

- 25

- 18

- Ke

dah

& P

erlis

Priv

ate

10-

11-

12-

Keda

h &

Per

lisTo

tal

351.

6136

1.63

301.

33Pu

lau

Pina

ngPu

blic

14-

15-

16-

Pula

u Pi

nang

Priv

ate

28-

29-

34-

Pula

u Pi

nang

Tota

l42

2.69

442.

7650

3.07

Pera

kPu

blic

15-

16-

13-

Pera

kPr

ivat

e17

- 19

- 22

- Pe

rak

Tota

l32

1.36

351.

4635

1.44

Sela

ngor

Publ

ic50

- 45

- 47

- Se

lang

orPr

ivat

e64

- 68

- 78

- Se

lang

orTo

tal

114

2.09

113

2.03

125

2.18

WP

Putr

ajay

aPu

blic

11

10-

8-

WP

Putr

ajay

aPr

ivat

ena

na

- na

- W

P Pu

traj

aya

Tota

l11

15.1

910

13.0

98

9.70

WPK

LPu

blic

55

60-

63-

WPK

LPr

ivat

e45

49

- 60

- W

PKL

Tota

l10

05.

9710

96.

4312

37.

10Se

lang

or &

WP

Putr

ajay

a &

WPK

LPu

blic

116

11

5-

118

- Se

lang

or &

WP

Putr

ajay

a &

WPK

LPr

ivat

e10

9

117

- 13

8-

Sela

ngor

& W

P Pu

traj

aya

& W

PKL

Tota

l22

53.

1223

23.

1625

63.

40

Abb

revi

atio

n: -

not

ava

ilabl

e; n

a -

not a

pplic

able

Sela

ngor

& W

P Pu

traj

aya

& W

PKL

are

also

col

lect

ivel

y re

ferr

ed to

as

Kla

ng V

alle

y.

* Pu

blic

sec

tor

in 2

010

& 2

011

refe

rs to

MO

H a

nd U

nive

rsity

hos

pita

ls, w

hile

pub

lic s

ecto

r in

201

3 re

fers

to M

OH

, Uni

vers

ity, a

nd M

OD

hos

pita

ls.

‡ G

ener

al s

urge

ons

refe

r to

spe

cial

ists

from

the

disc

iplin

e of

gen

eral

sur

gery

AN

D it

s su

bspe

cial

ties

(col

orec

tal s

urge

ry, h

epat

obili

ary

surg

ery,

car

diot

hora

cic

surg

ery,

bre

ast &

end

ocri

ne s

urge

ry, a

nd b

reas

t sur

gery

). Th

is d

efini

tion

is in

kee

ping

w

ith o

ur p

revi

ous

NH

EWS

(Hos

pita

l) re

port

s, a

s ad

vise

d by

the

surg

ical

ser

vice

s ex

pert

pan

el.

For

popu

latio

n da

ta, p

leas

e re

fer A

ppen

dix

3: T

able

A3.

1

69

CHAP

TER

4: H

OSPI

TAL

HEAL

TH W

ORKF

ORCE


Tabl

e 4.

1.7

[con

tinu

ed]:

Num

ber

& D

ensi

ty o

f Gen

eral

Sur

geon

s in

Acu

te C

urat

ive

Hos

pita

ls in

Mal

aysi

a by

Sta

te &

Sec

tor,

2010

, 201

1 &

201

3

Abb

revi

atio

n: -

not

ava

ilabl

e; n

a -

not a

pplic

able

Sela

ngor

& W

P Pu

traj

aya

& W

PKL

are

also

col

lect

ivel

y re

ferr

ed to

as

Kla

ng V

alle

y.

* Pu

blic

sec

tor

in 2

010

& 2

011

refe

rs to

MO

H a

nd U

nive

rsity

hos

pita

ls, w

hile

pub

lic s

ecto

r in

201

3 re

fers

to M

OH

, Uni

vers

ity, a

nd M

OD

hos

pita

ls.

‡ G

ener

al s

urge

ons

refe

r to

spe

cial

ists

from

the

disc

iplin

e of

gen

eral

sur

gery

AN

D it

s su

bspe

cial

ties

(col

orec

tal s

urge

ry, h

epat

obili

ary

surg

ery,

car

diot

hora

cic

surg

ery,

bre

ast &

end

ocri

ne s

urge

ry, a

nd b

reas

t sur

gery

). Th

is d

efini

tion

is in

kee

ping

w

ith o

ur p

revi

ous

NH

EWS

(Hos

pita

l) re

port

s, a

s ad

vise

d by

the

surg

ical

ser

vice

s ex

pert

pan

el.

For

popu

latio

n da

ta, p

leas

e re

fer A

ppen

dix

3: T

able

A3.

1

Stat

eSe

ctor

*

Gen

eral

Sur

geon

s ‡

2010

2011

2013

Num

ber

Per

100,

000

popu

lati

onN

umbe

rPe

r 10

0,00

0 po

pula

tion

Num

ber

Per

100,

000

popu

lati

onN

eger

i Sem

bila

nPu

blic

10-

11-

13-

Neg

eri S

embi

lan

Priv

ate

10-

11-

13-

Neg

eri S

embi

lan

Tota

l20

1.96

222.

1126

2.43

Mel

aka

Publ

ic8

- 7

- 7

- M

elak

aPr

ivat

e13

- 13

- 15

- M

elak

aTo

tal

212.

5620

2.40

222.

58Jo

hor

Publ

ic24

- 25

- 27

- Jo

hor

Priv

ate

25-

27-

29-

Joho

rTo

tal

491.

4652

1.53

561.

61Pa

hang

Publ

ic18

- 13

- 11

- Pa

hang

Priv

ate

4-

6-

8-

Paha

ngTo

tal

221.

4719

1.25

191.

21Te

reng

ganu

Publ

ic6

- 7

- 13

- Te

reng

ganu

Priv

ate

0-

0-

0-

Tere

ngga

nuTo

tal

60.

587

0.65

131.

17Ke

lant

anPu

blic

27-

26-

25-

Kela

ntan

Priv

ate

4-

3-

2-

Kela

ntan

Tota

l31

2.01

291.

8027

1.62

Sara

wak

Publ

ic21

- 17

- 23

- Sa

raw

akPr

ivat

e13

- 15

- 16

- Sa

raw

akTo

tal

341.

3832

1.27

391.

51Sa

bah

Publ

ic18

- 19

- 23

- Sa

bah

Priv

ate

7-

7-

7-

Saba

hTo

tal

250.

7826

0.78

300.

88W

P La

buan

Publ

ic1

- 1

- 1

- W

P La

buan

Priv

ate

na-

na-

na-

WP

Labu

anTo

tal

11.

151

1.11

11.

07Sa

bah

& W

P La

buan

Publ

ic19

- 20

- 24

- Sa

bah

& W

P La

buan

Priv

ate

7-

7-

7-

Saba

h &

WP

Labu

anTo

tal

260.

7927

0.79

310.

88

70


Tabl

e 4.

1.8

:Num

ber

& D

ensi

ty o

f Col

orec

tal S

urge

ons,

Hep

atob

iliar

y Su

rgeo

ns a

nd U

rolo

gist

s in

Acu

te C

urat

ive

Hos

pita

ls in

Mal

aysi

a by

Sta

te &

Sec

tor,

2010

, 201

1 &

201

3

Stat

eSe

ctor

*

Col

orec

tal S

urge

ons

Hep

atob

iliar

y Su

rgeo

nsU

rolo

gist

s

2010

2011

2013

2010

2011

2013

2010

2011

2013

Number


Number


Number


Number


Number


Number


Number


Number


Number


Mal

aysi

aPu

blic

9-

7-

17-

18-

18-

16-

35-

34-

40-

Mal

aysi

aPr

ivat

e17

- 23

- 29

- 11

- 12

- 14

- 62

- 63

- 69

- M

alay

sia

Tota

l26

0.09

300.

1046

0.15

290.

1030

0.10

300.

1097

0.34

970.

3310

90.

37Pe

rlis

Publ

ic0

- 0

- 0

- 0

- 0

- 0

- 0

- 0

- 0

- Pe

rlis

Priv

ate

na-

na-

na-

na-

na-

na-

na-

na-

na-

Perl

isTo

tal

00.

000

0.00

00.

000

0.00

00.

000

0.00

00.

000

0.00

00.

00Ke

dah

Publ

ic1

- 1

- 1

- 2

- 0

- 2

- 0

- 1

- 2

- Ke

dah

Priv

ate

0-

0-

1-

0-

2-

0-

3-

4-

4-

Keda

hTo

tal

10.

051

0.05

20.

102

0.10

20.

102

0.10

30.

155

0.25

60.

30Ke

dah

& P

erlis

Publ

ic1

- 1

- 1

- 2

- 0

- 2

- 0

- 1

- 2

- Ke

dah

& P

erlis

Priv

ate

0-

0-

1-

0-

2-

0-

3-

4-

4-

Keda

h &

Per

lisTo

tal

10.

051

0.05

20.

092

0.09

20.

092

0.09

30.

145

0.23

60.

27Pu

lau

Pina

ngPu

blic

1-

0-

1-

1-

1-

0-

2-

2-

1-

Pula

u Pi

nang

Priv

ate

1-

2-

2-

1-

1-

1-

8-

8-

9-

Pula

u Pi

nang

Tota

l2

0.13

20.

133

0.18

20.

132

0.13

10.

0610

0.64

100.

6310

0.61

Pera

kPu

blic

0-

0-

1-

0-

0-

0-

0-

0-

0-

Pera

kPr

ivat

e2

- 2

- 2

- 0

- 0

- 0

- 2

- 3

- 4

- Pe

rak

Tota

l2

0.09

20.

083

0.12

00.

000

0.00

00.

002

0.09

30.

134

0.16

Sela

ngor

Publ

ic1

- 1

- 6

- 6

- 6

- 7

- 5

- 5

- 6

- Se

lang

orPr

ivat

e7

- 7

- 7

- 7

- 7

- 9

- 15

- 17

- 19

- Se

lang

orTo

tal

80.

158

0.14

130.

2313

0.24

130.

2316

0.28

200.

3722

0.39

250.

44W

P Pu

traj

aya

Publ

ic0

- 0

- 0

- 0

- 1

- 0

- 0

- 0

- 0

- W

P Pu

traj

aya

Priv

ate

na-

na-

na-

na-

na-

na-

na-

na-

na-

WP

Putr

ajay

aTo

tal

00.

000

0.00

00.

000

0.00

11.

310

0.00

00.

000

0.00

00.

00W

PKL

Publ

ic2

- 2

- 2

- 6

- 6

- 3

- 16

- 16

- 20

- W

PKL

Priv

ate

4-

5-

9-

3-

3-

4-

16-

11-

12-

WPK

LTo

tal

60.

367

0.41

110.

649

0.54

90.

537

0.40

321.

9127

1.59

321.

85Se

lang

or &

WP

Putr

ajay

a &

WPK

LPu

blic

3-

3-

8-

12-

13-

10-

21-

21-

26-

Sela

ngor

& W

P Pu

traj

aya

& W

PKL

Priv

ate

11-

12-

16-

10-

10-

13-

31-

28-

31-

Sela

ngor

& W

P Pu

traj

aya

& W

PKL

Tota

l14

0.19

150.

2024

0.32

220.

3123

0.31

230.

3152

0.72

490.

6757

0.76

Abb

revi

atio

n: -

not

ava

ilabl

e; n

a -

not a

pplic

able

Sela

ngor

& W

P Pu

traj

aya

& W

PKL

are

also

col

lect

ivel

y re

ferr

ed to

as

Kla

ng V

alle

y.

* Pu

blic

sec

tor

in 2

010

& 2

011

refe

rs to

MO

H a

nd U

nive

rsity

hos

pita

ls, w

hile

pub

lic s

ecto

r in

201

3 re

fers

to M

OH

, Uni

vers

ity, a

nd M

OD

hos

pita

ls.

Fo

r po

pula

tion

data

, ple

ase

refe

r App

endi

x 3:

Tab

le A

3.1

71

CHAP

TER

4: H

OSPI

TAL

HEAL

TH W

ORKF

ORCE


Tabl

e 4.

1.8

[con

tinu

ed]:

Num

ber

& D

ensi

ty o

f Col

orec

tal S

urge

ons,

Hep

atob

iliar

y Su

rgeo

ns a

nd U

rolo

gist

s in

Acu

te C

urat

ive

Hos

pita

ls in

Mal

aysi

a by

Sta

te &

Sec

tor,

2010

, 201

1 &

201

3

Stat

eSe

ctor

*

Col

orec

tal S

urge

ons

Hep

atob

iliar

y Su

rgeo

nsU

rolo

gist

s

2010

2011

2013

2010

2011

2013

2010

2011

2013

Number


Number


Number


Number


Number


Number


Number


Number


Number


Neg

eri S

embi

lan

Publ

ic1

- 1

- 2

- 0

- 0

- 0

- 0

- 0

- 0

- N

eger

i Sem

bila

nPr

ivat

e1

- 1

- 0

- 0

- 1

- 0

- 2

- 2

- 3

- N

eger

i Sem

bila

nTo

tal

20.

202

0.19

20.

190

0.00

10.

100

0.00

20.

202

0.19

30.

28M

elak

aPu

blic

0-

0-

0-

1-

1-

1-

0-

0-

0-

Mel

aka

Priv

ate

0-

0-

2-

0-

0-

0-

7-

7-

7-

Mel

aka

Tota

l0

0.00

00.

002

0.23

10.

121

0.12

10.

127

0.85

70.

847

0.82

Joho

rPu

blic

1-

1-

1-

0-

0-

0-

3-

2-

2-

Joho

rPr

ivat

e2

- 3

- 4

- 0

- 0

- 0

- 5

- 6

- 6

- Jo

hor

Tota

l3

0.09

40.

125

0.14

00.

000

0.00

00.

008

0.24

80.

248

0.23

Paha

ngPu

blic

1-

0-

1-

0-

0-

0-

2-

2-

2-

Paha

ngPr

ivat

e0

- 2

- 1

- 0

- 0

- 0

- 2

- 2

- 2

- Pa

hang

Tota

l1

0.07

20.

132

0.13

00.

000

0.00

00.

004

0.27

40.

264

0.25

Tere

ngga

nuPu

blic

0-

0-

0-

0-

0-

1-

0-

0-

0-

Tere

ngga

nuPr

ivat

e0

- 0

- 0

- 0

- 0

- 0

- 0

- 0

- 0

- Te

reng

ganu

Tota

l0

0.00

00.

000

0.00

00.

000

0.00

10.

090

0.00

00.

000

0.00

Kela

ntan

Publ

ic1

- 1

- 2

- 0

- 0

- 0

- 4

- 2

- 2

- Ke

lant

anPr

ivat

e0

- 0

- 0

- 0

- 0

- 0

- 0

- 1

- 1

- Ke

lant

anTo

tal

10.

061

0.06

20.

120

0.00

00.

000

0.00

40.

263

0.19

30.

18Sa

raw

akPu

blic

0-

0-

0-

2-

1-

1-

2-

2-

3-

Sara

wak

Priv

ate

0-

1-

1-

0-

0-

0-

1-

1-

1-

Sara

wak

Tota

l0

0.00

10.

041

0.04

20.

081

0.04

10.

043

0.12

30.

124

0.16

Saba

hPu

blic

0-

0-

0-

0-

0-

1-

1-

2-

2-

Saba

hPr

ivat

e0

- 0

- 0

- 0

- 0

- 0

- 1

- 1

- 1

- Sa

bah

Tota

l0

0.00

00.

000

0.00

00.

000

0.00

10.

032

0.06

30.

093

0.09

WP

Labu

anPu

blic

0-

0-

0-

0-

0-

0-

0-

0-

0-

WP

Labu

anPr

ivat

ena

- na

- na

- na

- na

- na

- na

- na

- na

- W

P La

buan

Tota

l0

0.00

00.

000

0.00

00.

000

0.00

00.

000

0.00

00.

000

0.00

Saba

h &

WP

Labu

anPu

blic

0-

0-

0-

0-

0-

1-

1-

2-

2-

Saba

h &

WP

Labu

anPr

ivat

e0

- 0

- 0

- 0

- 0

- 0

- 1

- 1

- 1

- Sa

bah

& W

P La

buan

Tota

l0

0.00

00.

000

0.00

00.

000

0.00

10.

032

0.06

30.

093

0.09

Abb

revi

atio

n: -

not

ava

ilabl

e; n

a -

not a

pplic

able

Sela

ngor

& W

P Pu

traj

aya

& W

PKL

are

also

col

lect

ivel

y re

ferr

ed to

as

Kla

ng V

alle

y.

* Pu

blic

sec

tor

in 2

010

& 2

011

refe

rs to

MO

H a

nd U

nive

rsity

hos

pita

ls, w

hile

pub

lic s

ecto

r in

201

3 re

fers

to M

OH

, Uni

vers

ity, a

nd M

OD

hos

pita

ls.

Fo

r po

pula

tion

data

, ple

ase

refe

r App

endi

x 3:

Tab

le A

3.1

72


Tabl

e 4.

1.9

: Num

ber

& D

ensi

ty o

f Vas

cula

r Su

rgeo

ns, C

ardi

otho

raci

c Su

rgeo

ns a

nd N

euro

surg

eons

in A

cute

Cur

ativ

e H

ospi

tals

in M

alay

sia

by S

tate

& S

ecto

r, 20

10, 2

011

& 2

013

Abb

revi

atio

n: -

not

ava

ilabl

e; n

a -

not a

pplic

able

Sela

ngor

& W

P Pu

traj

aya

& W

PKL

are

also

col

lect

ivel

y re

ferr

ed to

as

Kla

ng V

alle

y.

* Pu

blic

sec

tor

in 2

010

& 2

011

refe

rs to

MO

H a

nd U

nive

rsity

hos

pita

ls, w

hile

pub

lic s

ecto

r in

201

3 re

fers

to M

OH

, Uni

vers

ity, a

nd M

OD

hos

pita

ls.

Fo

r po

pula

tion

data

, ple

ase

refe

r App

endi

x 3:

Tab

le A

3.1

Stat

eSe

ctor

*

Vas

cula

r Su

rgeo

nsC

ardi

otho

raci

c Su

rgeo

nsN

euro

surg

eons

2010

2011

2013

2010

2011

2013

2010

2011

2013

Number


Number


Number


Number


Number


Number


Number


Number


Number


Mal

aysi

aPu

blic

10-

10-

13-

23-

24-

25-

36-

44-

47-

Mal

aysi

aPr

ivat

e9

- 9

- 13

- 41

- 45

- 49

- 32

- 33

- 43

- M

alay

sia

Tota

l19

0.07

190.

0726

0.09

640.

2369

0.24

740.

2568

0.24

770.

2790

0.30

Perl

isPu

blic

0-

0-

0-

0-

0-

0-

0-

0-

0-

Perl

isPr

ivat

ena

- na

- na

- na

- na

- na

- na

- na

- na

- Pe

rlis

Tota

l0

0.00

00.

000

0.00

00.

000

0.00

00.

000

0.00

00.

000

0.00

Keda

hPu

blic

0-

0-

0-

0-

0-

0-

0-

1-

2-

Keda

hPr

ivat

e0

- 0

- 0

- 0

- 0

- 0

- 0

- 0

- 0

- Ke

dah

Tota

l0

0.00

00.

000

0.00

00.

000

0.00

00.

000

0.00

10.

052

0.10

Keda

h &

Per

lisPu

blic

0-

0-

0-

0-

0-

0-

0-

1-

2-

Keda

h &

Per

lisPr

ivat

e0

- 0

- 0

- 0

- 0

- 0

- 0

- 0

- 0

- Ke

dah

& P

erlis

Tota

l0

0.00

00.

000

0.00

00.

000

0.00

00.

000

0.00

10.

052

0.09

Pula

u Pi

nang

Publ

ic0

- 0

- 0

- 3

- 2

- 6

- 3

- 3

- 2

- Pu

lau

Pina

ngPr

ivat

e2

- 2

- 2

- 8

- 9

- 8

- 7

- 7

- 9

- Pu

lau

Pina

ngTo

tal

20.

132

0.13

20.

1211

0.70

110.

6914

0.86

100.

6410

0.63

110.

68Pe

rak

Publ

ic0

- 0

- 0

- 0

- 0

- 0

- 0

- 1

- 2

- Pe

rak

Priv

ate

0-

0-

0-

1-

1-

2-

2-

2-

3-

Pera

kTo

tal

00.

000

0.00

00.

001

0.04

10.

042

0.08

20.

093

0.13

50.

21Se

lang

orPu

blic

2-

2-

2-

6-

7-

2-

2-

4-

4-

Sela

ngor

Priv

ate

4-

4-

5-

7-

8-

11-

11-

9-

11-

Sela

ngor

Tota

l6

0.11

60.

117

0.12

130.

2415

0.27

130.

2313

0.24

130.

2315

0.26

WP

Putr

ajay

aPu

blic

0-

0-

0-

0-

0-

0-

0-

0-

0-

WP

Putr

ajay

aPr

ivat

ena

- na

- na

- na

- na

- na

- na

- na

- na

- W

P Pu

traj

aya

Tota

l0

0.00

00.

000

0.00

00.

000

0.00

00.

000

0.00

00.

000

0.00

WPK

LPu

blic

7-

7-

10-

5-

5-

5-

14-

16-

18-

WPK

LPr

ivat

e1

- 2

- 3

- 19

- 22

- 21

- 5

- 5

- 7

- W

PKL

Tota

l8

0.48

90.

5313

0.75

241.

4327

1.59

261.

5019

1.13

211.

2425

1.44

Sela

ngor

& W

P Pu

traj

aya

& W

PKL

Publ

ic9

- 9

- 12

- 11

- 12

- 7

- 16

- 20

- 22

- Se

lang

or &

WP

Putr

ajay

a &

WPK

LPr

ivat

e5

- 6

- 8

- 26

- 30

- 32

- 16

- 14

- 18

- Se

lang

or &

WP

Putr

ajay

a &

WPK

LTo

tal

140.

1915

0.20

200.

2737

0.51

420.

5739

0.52

320.

4434

0.46

400.

53

73

CHAP

TER

4: H

OSPI

TAL

HEAL

TH W

ORKF

ORCE


Tabl

e 4.

1.9

[con

tinu

ed]:

Num

ber

& D

ensi

ty o

f Vas

cula

r Su

rgeo

ns, C

ardi

otho

raci

c Su

rgeo

ns a

nd N

euro

surg

eons

in A

cute

Cur

ativ

e H

ospi

tals

in M

alay

sia

by S

tate

& S

ec-

tor,

2010

, 201

1 &

201

3

Abb

revi

atio

n: -

not

ava

ilabl

e; n

a -

not a

pplic

able

Sela

ngor

& W

P Pu

traj

aya

& W

PKL

are

also

col

lect

ivel

y re

ferr

ed to

as

Kla

ng V

alle

y.

* Pu

blic

sec

tor

in 2

010

& 2

011

refe

rs to

MO

H a

nd U

nive

rsity

hos

pita

ls, w

hile

pub

lic s

ecto

r in

201

3 re

fers

to M

OH

, Uni

vers

ity, a

nd M

OD

hos

pita

ls.

Fo

r po

pula

tion

data

, ple

ase

refe

r App

endi

x 3:

Tab

le A

3.1

Stat

eSe

ctor

*

Vas

cula

r Su

rgeo

nsC

ardi

otho

raci

c Su

rgeo

nsN

euro

surg

eons

2010

2011

2013

2010

2011

2013

2010

2011

2013

Number


Number


Number


Number


Number


Number


Number


Number


Number


Neg

eri S

embi

lan

Publ

ic0

- 0

- 0

- 0

- 0

- 0

- 0

- 0

- 0

- N

eger

i Sem

bila

nPr

ivat

e0

- 0

- 0

- 0

- 0

- 0

- 0

- 0

- 0

- N

eger

i Sem

bila

nTo

tal

00.

000

0.00

00.

000

0.00

00.

000

0.00

00.

000

0.00

00.

00M

elak

aPu

blic

0-

0-

0-

0-

0-

0-

0-

0-

0-

Mel

aka

Priv

ate

1-

0-

0-

4-

3-

4-

3-

6-

5-

Mel

aka

Tota

l1

0.12

00.

000

0.00

40.

493

0.36

40.

473

0.37

60.

725

0.59

Joho

rPu

blic

0-

0-

0-

4-

4-

3-

5-

5-

5-

Joho

rPr

ivat

e1

- 1

- 2

- 1

- 1

- 1

- 2

- 2

- 4

- Jo

hor

Tota

l1

0.03

10.

032

0.06

50.

155

0.15

40.

127

0.21

70.

219

0.26

Paha

ngPu

blic

1-

1-

0-

0-

0-

1-

0-

0-

0-

Paha

ngPr

ivat

e0

- 0

- 1

- 0

- 0

- 0

- 1

- 1

- 2

- Pa

hang

Tota

l1

0.07

10.

071

0.06

00.

000

0.00

10.

061

0.07

10.

072

0.13

Tere

ngga

nuPu

blic

0-

0-

0-

0-

0-

0-

2-

2-

2-

Tere

ngga

nuPr

ivat

e0

- 0

- 0

- 0

- 0

- 0

- 0

- 0

- 0

- Te

reng

ganu

Tota

l0

0.00

00.

000

0.00

00.

000

0.00

00.

002

0.19

20.

192

0.18

Kela

ntan

Publ

ic0

- 0

- 0

- 2

- 2

- 3

- 6

- 7

- 5

- Ke

lant

anPr

ivat

e0

- 0

- 0

- 0

- 0

- 0

- 0

- 0

- 1

- Ke

lant

anTo

tal

00.

000

0.00

00.

002

0.13

20.

123

0.18

60.

397

0.43

60.

36Sa

raw

akPu

blic

0-

0-

1-

2-

2-

4-

3-

3-

3-

Sara

wak

Priv

ate

0-

0-

0-

1-

1-

1-

1-

1-

1-

Sara

wak

Tota

l0

0.00

00.

001

0.04

30.

123

0.12

50.

194

0.16

40.

164

0.16

Saba

hPu

blic

0-

0-

0-

1-

2-

1-

1-

2-

4-

Saba

hPr

ivat

e0

- 0

- 0

- 0

- 0

- 1

- 0

- 0

- 0

- Sa

bah

Tota

l0

0.00

00.

000

0.00

10.

032

0.06

20.

061

0.03

20.

064

0.12

WP

Labu

anPu

blic

0-

0-

0-

0-

0-

0-

0-

0-

0-

WP

Labu

anPr

ivat

ena

- na

- na

- na

- na

- na

- na

- na

- na

- W

P La

buan

Tota

l0

0.00

00.

000

0.00

00.

000

0.00

00.

000

0.00

00.

000

0.00

Saba

h &

WP

Labu

anPu

blic

0-

0-

0-

1-

2-

1-

1-

2-

4-

Saba

h &

WP

Labu

anPr

ivat

e0

- 0

- 0

- 0

- 0

- 1

- 0

- 0

- 0

- Sa

bah

& W

P La

buan

Tota

l0

0.00

00.

000

0.00

10.

032

0.06

20.

061

0.03

20.

064

0.11

74


Tabl

e 4.

1.10

: N

umbe

r &

Den

sity

of B

reas

t &

End

ocri

ne S

urge

ons

and

Bre

ast

Surg

eons

in A

cute

Cur

ativ

e H

ospi

tals

in M

alay

sia

by S

tate

& S

ecto

r, 20

10, 2

011

& 2

013

Stat

eSe

ctor

*

Bre

ast

& E

ndoc

rine

Sur

geon

sB

reas

t Su

rgeo

ns

2010

2011

2013

2010

2011

2013

Number


Number


Number


Number


Number


Number


Mal

aysi

aPu

blic

12-

19-

21-

3-

3-

3-

Mal

aysi

aPr

ivat

e5

- 4

- 7

- 3

- 4

- 4

- M

alay

sia

Tota

l17

0.06

230.

0828

0.09

60.

027

0.02

70.

02Pe

rlis

Publ

ic0

- 0

- 0

- 0

- 0

- 0

- Pe

rlis

Priv

ate

na-

na-

na-

na-

na-

na-

Perl

isTo

tal

00.

000

0.00

00.

000

0.00

00.

000

0.00

Keda

hPu

blic

0-

0-

0-

0-

0-

0-

Keda

hPr

ivat

e0

- 0

- 0

- 0

- 0

- 0

- Ke

dah

Tota

l0

0.00

00.

000

0.00

00.

000

0.00

00.

00Ke

dah

& P

erlis

Publ

ic0

- 0

- 0

- 0

- 0

- 0

- Ke

dah

& P

erlis

Priv

ate

0-

0-

0-

0-

0-

0-

Keda

h &

Per

lisTo

tal

00.

000

0.00

00.

000

0.00

00.

000

0.00

Pula

u Pi

nang

Publ

ic0

- 0

- 2

- 0

- 0

- 0

- Pu

lau

Pina

ngPr

ivat

e0

- 0

- 0

- 1

- 1

- 2

- Pu

lau

Pina

ngTo

tal

00.

000

0.00

20.

121

0.06

10.

062

0.12

Pera

kPu

blic

0-

0-

0-

0-

0-

0-

Pera

kPr

ivat

e0

- 0

- 0

- 0

- 0

- 0

- Pe

rak

Tota

l0

0.00

00.

000

0.00

00.

000

0.00

00.

00Se

lang

orPu

blic

0-

1-

0-

1-

1-

1-

Sela

ngor

Priv

ate

2-

2-

4-

0-

0-

0-

Sela

ngor

Tota

l2

0.04

30.

054

0.07

10.

021

0.02

10.

02W

P Pu

traj

aya

Publ

ic5

- 7

- 3

- 0

- 0

- 0

- W

P Pu

traj

aya

Priv

ate

na-

na-

na-

na-

na-

na-

WP

Putr

ajay

aTo

tal

56.

907

9.16

33.

640

0.00

00.

000

0.00

WPK

LPu

blic

4-

8-

9-

2-

2-

2-

WPK

LPr

ivat

e3

- 2

- 3

- 2

- 2

- 2

- W

PKL

Tota

l7

0.42

100.

5912

0.69

40.

244

0.24

40.

23Se

lang

or &

WP

Putr

ajay

a &

WPK

LPu

blic

9-

16-

12-

3-

3-

3-

Sela

ngor

& W

P Pu

traj

aya

& W

PKL

Priv

ate

5-

4-

7-

2-

2-

2-

Sela

ngor

& W

P Pu

traj

aya

& W

PKL

Tota

l14

0.19

200.

2719

0.25

50.

075

0.07

50.

07

Abb

revi

atio

n: -

not

ava

ilabl

e; n

a -

not a

pplic

able

Sela

ngor

& W

P Pu

traj

aya

& W

PKL

are

also

col

lect

ivel

y re

ferr

ed to

as

Kla

ng V

alle

y.

* Pu

blic

sec

tor

in 2

010

& 2

011

refe

rs to

MO

H a

nd U

nive

rsity

hos

pita

ls, w

hile

pub

lic s

ecto

r in

201

3 re

fers

to M

OH

, Uni

vers

ity, a

nd M

OD

hos

pita

ls.

For

popu

latio

n da

ta, p

leas

e re

fer A

ppen

dix

3: T

able

A3.

1

75

CHAP

TER

4: H

OSPI

TAL

HEAL

TH W

ORKF

ORCE


Tabl

e 4.

1.10

[co

ntin

ued]

: Num

ber

& D

ensi

ty o

f Bre

ast

& E

ndoc

rine

Sur

geon

s an

d B

reas

t Su

rgeo

ns in

Acu

te C

urat

ive

Hos

pita

ls in

Mal

aysi

a by

Sta

te &

Sec

tor,

2010

, 201

1 &

201

3

Stat

eSe

ctor

*

Bre

ast

& E

ndoc

rine

Sur

geon

sB

reas

t Su

rgeo

ns

2010

2011

2013

2010

2011

2013

Number


Number


Number


Number


Number


Number


Neg

eri S

embi

lan

Publ

ic0

- 0

- 1

- 0

- 0

- 0

- N

eger

i Sem

bila

nPr

ivat

e0

- 0

- 0

- 0

- 0

- 0

- N

eger

i Sem

bila

nTo

tal

00.

000

0.00

10.

090

0.00

00.

000

0.00

Mel

aka

Publ

ic0

- 0

- 0

- 0

- 0

- 0

- M

elak

aPr

ivat

e0

- 0

- 0

- 0

- 1

- 0

- M

elak

aTo

tal

00.

000

0.00

00.

000

0.00

10.

120

0.00

Joho

rPu

blic

1-

1-

3-

0-

0-

0-

Joho

rPr

ivat

e0

- 0

- 0

- 0

- 0

- 0

- Jo

hor

Tota

l1

0.03

10.

033

0.09

00.

000

0.00

00.

00Pa

hang

Publ

ic0

- 0

- 0

- 0

- 0

- 0

- Pa

hang

Priv

ate

0-

0-

0-

0-

0-

0-

Paha

ngTo

tal

00.

000

0.00

00.

000

0.00

00.

000

0.00

Tere

ngga

nuPu

blic

1-

1-

2-

0-

0-

0-

Tere

ngga

nuPr

ivat

e0

- 0

- 0

- 0

- 0

- 0

- Te

reng

ganu

Tota

l1

0.10

10.

092

0.18

00.

000

0.00

00.

00Ke

lant

anPu

blic

1-

1-

1-

0-

0-

0-

Kela

ntan

Priv

ate

0-

0-

0-

0-

0-

0-

Kela

ntan

Tota

l1

0.06

10.

061

0.06

00.

000

0.00

00.

00Sa

raw

akPu

blic

0-

0-

0-

0-

0-

0-

Sara

wak

Priv

ate

0-

0-

0-

0-

0-

0-

Sara

wak

Tota

l0

0.00

00.

000

0.00

00.

000

0.00

00.

00Sa

bah

Publ

ic0

- 0

- 0

- 0

- 0

- 0

- Sa

bah

Priv

ate

0-

0-

0-

0-

0-

0-

Saba

hTo

tal

00.

000

0.00

00.

000

0.00

00.

000

0.00

WP

Labu

anPu

blic

0-

0-

0-

0-

0-

0-

WP

Labu

anPr

ivat

ena

- na

- na

- na

- na

- na

- W

P La

buan

Tota

l0

0.00

00.

000

0.00

00.

000

0.00

00.

00Sa

bah

& W

P La

buan

Publ

ic0

- 0

- 0

- 0

- 0

- 0

- Sa

bah

& W

P La

buan

Priv

ate

0-

0-

0-

0-

0-

0-

Saba

h &

WP

Labu

anTo

tal

00.

000

0.00

00.

000

0.00

00.

000

0.00

Abb

revi

atio

n: -

not

ava

ilabl

e; n

a -

not a

pplic

able

Sela

ngor

& W

P Pu

traj

aya

& W

PKL

are

also

col

lect

ivel

y re

ferr

ed to

as

Kla

ng V

alle

y.

* Pu

blic

sec

tor

in 2

010

& 2

011

refe

rs to

MO

H a

nd U

nive

rsity

hos

pita

ls, w

hile

pub

lic s

ecto

r in

201

3 re

fers

to M

OH

, Uni

vers

ity, a

nd M

OD

hos

pita

ls.

Fo

r po

pula

tion

data

, ple

ase

refe

r App

endi

x 3:

Tab

le A

3.1

76


Tabl

e 4.

1.11

: N

umbe

r &

Den

sity

of P

last

ic &

Rec

onst

ruct

ive

Surg

eons

and

Pae

diat

ric

Surg

eons

in A

cute

Cur

ativ

e H

ospi

tals

in M

alay

sia

by S

tate

& S

ecto

r, 20

10, 2

011

& 2

013

Stat

eSe

ctor

*

Plas

tic

& R

econ

stru

ctiv

e Su

rgeo

nsPa

edia

tric

Sur

geon

s

2010

2011

2013

2010

2011

2013

Number


Number


Number


Number


Number


Number


Mal

aysi

aPu

blic

28-

34-

39-

21-

19-

24-

Mal

aysi

aPr

ivat

e36

- 33

- 31

- 18

- 20

- 21

- M

alay

sia

Tota

l64

0.23

670.

2371

0.24

390.

5039

0.50

450.

58Pe

rlis

Publ

ic0

- 0

- 0

- 0

- 0

- 0

- Pe

rlis

Priv

ate

na-

na-

na-

na-

na-

na-

Perl

isTo

tal

00.

000

0.00

00.

000

0.00

00.

000

0.00

Keda

hPu

blic

1-

1-

1-

2-

2-

2-

Keda

hPr

ivat

e0

- 0

- 0

- 0

- 0

- 0

- Ke

dah

Tota

l1

0.05

10.

051

0.05

20.

352

0.35

20.

36Ke

dah

& P

erlis

Publ

ic1

- 1

- 1

- 2

- 2

- 2

- Ke

dah

& P

erlis

Priv

ate

0-

0-

0-

0-

0-

0-

Keda

h &

Per

lisTo

tal

10.

051

0.05

10.

042

0.32

20.

322

0.33

Pula

u Pi

nang

Publ

ic3

- 3

- 5

- 1

- 0

- 0

- Pu

lau

Pina

ngPr

ivat

e3

- 3

- 6

- 3

- 4

- 4

- Pu

lau

Pina

ngTo

tal

60.

386

0.38

110.

684

1.11

41.

114

1.13

Pera

kPu

blic

2-

2-

2-

1-

0-

0-

Pera

kPr

ivat

e3

- 3

- 3

- 1

- 1

- 1

- Pe

rak

Tota

l5

0.21

50.

215

0.21

20.

321

0.16

10.

16Se

lang

orPu

blic

4-

5-

5-

0-

1-

1-

Sela

ngor

Priv

ate

9-

10-

9-

6-

6-

5-

Sela

ngor

Tota

l13

0.24

150.

2714

0.24

60.

447

0.51

60.

43W

P Pu

traj

aya

Publ

ic0

- 0

- 0

- 0

- 0

- 0

- W

P Pu

traj

aya

Priv

ate

na-

na-

na-

na-

na-

na-

WP

Putr

ajay

aTo

tal

00.

000

0.00

00.

000

0.00

00.

000

0.00

WPK

LPu

blic

7-

8-

10-

9-

9-

12-

WPK

LPr

ivat

e14

- 12

- 13

- 6

- 6

- 7

- W

PKL

Tota

l21

1.25

201.

1823

1.33

154.

0515

4.04

195.

02Se

lang

or &

WP

Putr

ajay

a &

WPK

LPu

blic

11-

13-

15-

9-

10-

13-

Sela

ngor

& W

P Pu

traj

aya

& W

PKL

Priv

ate

23-

22-

22-

12-

12-

12-

Sela

ngor

& W

P Pu

traj

aya

& W

PKL

Tota

l34

0.47

350.

4837

0.49

211.

1922

1.24

251.

39

Abb

revi

atio

n: -

not

ava

ilabl

e; n

a -

not a

pplic

able

Sela

ngor

& W

P Pu

traj

aya

& W

PKL

are

also

col

lect

ivel

y re

ferr

ed to

as

Kla

ng V

alle

y.

* Pu

blic

sec

tor

in 2

010

& 2

011

refe

rs to

MO

H a

nd U

nive

rsity

hos

pita

ls, w

hile

pub

lic s

ecto

r in

201

3 re

fers

to M

OH

, Uni

vers

ity, a

nd M

OD

hos

pita

ls.

For

popu

latio

n da

ta, p

leas

e re

fer A

ppen

dix

3: T

able

A3.

1

77

CHAP

TER

4: H

OSPI

TAL

HEAL

TH W

ORKF

ORCE


Tabl

e 4.

1.11

[co

ntin

ued]

: Num

ber

& D

ensi

ty o

f Pla

stic

& R

econ

stru

ctiv

e Su

rgeo

ns a

nd P

aedi

atri

c Su

rgeo

ns in

Acu

te C

urat

ive

Hos

pita

ls in

Mal

aysi

a by

Sta

te &

Sec

tor,

2010

, 201

1 &

201

3

Stat

eSe

ctor

*

Plas

tic

& R

econ

stru

ctiv

e Su

rgeo

nsPa

edia

tric

Sur

geon

s

2010

2011

2013

2010

2011

2013

Number


Number


Number


Number


Number


Number


Neg

eri S

embi

lan

Publ

ic0

- 0

- 0

- 0

- 0

- 0

- N

eger

i Sem

bila

nPr

ivat

e0

- 0

- 0

- 0

- 0

- 0

- N

eger

i Sem

bila

nTo

tal

00.

000

0.00

00.

000

0.00

00.

000

0.00

Mel

aka

Publ

ic0

- 0

- 1

- 1

- 0

- 1

- M

elak

aPr

ivat

e2

- 1

- 1

- 0

- 0

- 0

- M

elak

aTo

tal

20.

241

0.12

20.

231

0.46

00.

001

0.47

Joho

rPu

blic

2-

3-

1-

2-

2-

3-

Joho

rPr

ivat

e2

- 2

- 5

- 1

- 1

- 1

- Jo

hor

Tota

l4

0.12

50.

156

0.17

30.

333

0.33

40.

45Pa

hang

Publ

ic0

- 0

- 0

- 1

- 1

- 0

- Pa

hang

Priv

ate

0-

0-

0-

0-

0-

0-

Paha

ngTo

tal

00.

000

0.00

00.

001

0.22

10.

220

0.00

Tere

ngga

nuPu

blic

1-

1-

1-

0-

0-

0-

Tere

ngga

nuPr

ivat

e0

- 0

- 0

- 0

- 0

- 0

- Te

reng

ganu

Tota

l1

0.10

10.

091

0.09

00.

000

0.00

00.

00Ke

lant

anPu

blic

6-

7-

4-

2-

2-

3-

Kela

ntan

Priv

ate

0-

0-

0-

1-

2-

2-

Kela

ntan

Tota

l6

0.39

70.

434

0.24

30.

604

0.75

50.

94Sa

raw

akPu

blic

0-

0-

0-

1-

1-

1-

Sara

wak

Priv

ate

2-

1-

1-

0-

0-

0-

Sara

wak

Tota

l2

0.08

10.

041

0.04

10.

141

0.14

10.

14Sa

bah

Publ

ic2

- 4

- 2

- 1

- 1

- 1

- Sa

bah

Priv

ate

1-

1-

1-

0-

0-

1-

Saba

hTo

tal

30.

095

0.15

30.

091

0.10

10.

112

0.21

WP

Labu

anPu

blic

0-

0-

0-

0-

0-

0-

WP

Labu

anPr

ivat

ena

- na

- na

- na

- na

- na

- W

P La

buan

Tota

l0

0.00

00.

000

0.00

00.

000

0.00

00.

00Sa

bah

& W

P La

buan

Publ

ic2

- 4

- 2

- 1

- 1

- 1

- Sa

bah

& W

P La

buan

Priv

ate

1-

1-

1-

0-

0-

1-

Saba

h &

WP

Labu

anTo

tal

30.

095

0.15

30.

091

0.10

10.

112

0.21

Abb

revi

atio

n: -

not

ava

ilabl

e; n

a -

not a

pplic

able

Sela

ngor

& W

P Pu

traj

aya

& W

PKL

are

also

col

lect

ivel

y re

ferr

ed to

as

Kla

ng V

alle

y.

* Pu

blic

sec

tor

in 2

010

& 2

011

refe

rs to

MO

H a

nd U

nive

rsity

hos

pita

ls, w

hile

pub

lic s

ecto

r in

201

3 re

fers

to M

OH

, Uni

vers

ity, a

nd M

OD

hos

pita

ls.

Fo

r po

pula

tion

data

, ple

ase

refe

r App

endi

x 3:

Tab

le A

3.1

78


Tabl

e 4.

1.12

: Num

ber

& D

ensi

ty o

f Obs

tetr

icia

ns &

Gyn

aeco

logi

sts

and

Paed

iatr

icia

ns in

Acu

te C

urat

ive

Hos

pita

ls in

Mal

aysi

a by

Sta

te &

Sec

tor,

2010

, 201

1 &

201

3

Stat

eSe

ctor

*

Obs

tetr

icia

ns &

Gyn

aeco

logi

sts

Paed

iatr

icia

ns

2010

2011

2013

2010

2011

2013

Number

Per 100,000 female

population

Number

Per 100,000 female

population

Number

Per 100,000 female

population

Number

Per 100,000 pediatric

population

Number


population

Number


population

Mal

aysi

aPu

blic

319

- 32

4-

345

- 34

6-

377

- 41

4-

Mal

aysi

aPr

ivat

e46

1-

510

- 54

4-

291

- 29

1-

314

- M

alay

sia

Tota

l78

05.

6683

45.

9388

96.

1663

78.

1466

88.

5872

89.

40Pe

rlis

Publ

ic5

- 6

- 6

- 3

- 3

- 4

- Pe

rlis

Priv

ate

na-

na-

na-

na-

na-

na-

Perl

isTo

tal

54.

256

4.97

64.

903

5.13

34.

894

6.53

Keda

hPu

blic

22-

23-

29-

18-

17-

19-

Keda

hPr

ivat

e19

- 21

- 21

- 9

- 10

- 11

- Ke

dah

Tota

l41

4.26

444.

5150

5.00

274.

7227

4.78

305.

44Ke

dah

& P

erlis

Publ

ic27

- 29

- 35

- 21

- 20

- 23

- Ke

dah

& P

erlis

Priv

ate

19-

21-

21-

9-

10-

11-

Keda

h &

Per

lisTo

tal

464.

2650

4.56

564.

9830

4.76

304.

7934

5.54

Pula

u Pi

nang

Publ

ic14

- 16

- 16

- 25

- 29

- 26

- Pu

lau

Pina

ngPr

ivat

e52

- 52

- 52

- 43

- 41

- 45

- Pu

lau

Pina

ngTo

tal

668.

4768

8.56

688.

3868

18.8

370

19.4

971

20.0

2Pe

rak

Publ

ic25

- 21

- 22

- 26

- 27

- 28

- Pe

rak

Priv

ate

42-

43-

44-

19-

20-

19-

Pera

kTo

tal

675.

7564

5.40

665.

4845

7.18

477.

4447

7.73

Sela

ngor

Publ

ic57

- 53

- 53

- 51

- 53

- 62

- Se

lang

orPr

ivat

e12

0-

139

- 15

5-

78-

87-

94-

Sela

ngor

Tota

l17

76.

7119

27.

6420

87.

5312

99.

4014

010

.15

156

11.2

1W

P Pu

traj

aya

Publ

ic7

- 7

- 7

- 6

- 8

- 11

- W

P Pu

traj

aya

Priv

ate

na-

na-

na-

na-

na-

na-

WP

Putr

ajay

aTo

tal

718

.32

717

.24

715

.98

626

.84

831

.25

1136

.91

WPK

LPu

blic

52-

57-

61-

91-

102

- 10

6-

WPK

LPr

ivat

e10

2-

102

- 10

9-

70-

56-

67-

WPK

LTo

tal

154

18.7

215

919

.17

170

20.0

016

143

.49

158

42.5

617

345

.68

Sela

ngor

& W

P Pu

traj

aya

& W

PKL

Publ

ic11

6-

117

- 12

1-

148

- 16

3-

179

- Se

lang

or &

WP

Putr

ajay

a &

WPK

LPr

ivat

e22

2-

241

- 26

4-

148

- 14

3-

161

- Se

lang

or &

WP

Putr

ajay

a &

WPK

LTo

tal

338

9.66

358

10.5

838

510

.53

296

16.7

730

617

.23

340

18.8

9

Abb

revi

atio

n: -

not

ava

ilabl

e; n

a -

not a

pplic

able

FSel

ango

r &

WP

Putr

ajay

a &

WPK

L ar

e al

so c

olle

ctiv

ely

refe

rred

to a

s K

lang

Val

ley.

* Pu

blic

sec

tor

in 2

010

& 2

011

refe

rs to

MO

H a

nd U

nive

rsity

hos

pita

ls, w

hile

pub

lic s

ecto

r in

201

3 re

fers

to M

OH

, Uni

vers

ity, a

nd M

OD

hos

pita

ls.

Fo

r po

pula

tion

data

, ple

ase

refe

r App

endi

x 3:

Tab

le A

3.2

& T

able

A3.

12

79

CHAP

TER

4: H

OSPI

TAL

HEAL

TH W

ORKF

ORCE


Tabl

e 4.

1.12

[co

ntin

ued]

: Num

ber

& D

ensi

ty o

f Obs

tetr

icia

ns &

Gyn

aeco

logi

sts

and

Paed

iatr

icia

ns in

Acu

te C

urat

ive

Hos

pita

ls in

Mal

aysi

a by

Sta

te &

Sec

tor,

2010

, 201

1 &

201

3

Stat

eSe

ctor

*

Obs

tetr

icia

ns &

Gyn

aeco

logi

sts

Paed

iatr

icia

ns

2010

2011

2013

2010

2011

2013

Number

Per 100,000 female

population

Number

Per 100,000 female

population

Number

Per 100,000 female

population

Number


population

Number


population

Number


population

Neg

eri S

embi

lan

Publ

ic10

- 12

- 13

- 10

- 13

- 13

- N

eger

i Sem

bila

nPr

ivat

e18

- 20

- 22

- 12

- 15

- 14

- N

eger

i Sem

bila

nTo

tal

285.

6932

6.35

356.

7522

8.11

2810

.14

279.

85M

elak

aPu

blic

9-

5-

8-

7-

8-

9-

Mel

aka

Priv

ate

18-

20-

21-

13-

13-

14-

Mel

aka

Tota

l27

6.61

256.

0429

6.85

209.

2721

9.77

2310

.87

Joho

rPu

blic

27-

31-

24-

23-

28-

26-

Joho

rPr

ivat

e38

- 50

- 52

- 17

- 17

- 18

- Jo

hor

Tota

l65

4.11

815.

0476

4.61

404.

3945

4.96

444.

93Pa

hang

Publ

ic16

- 15

- 17

- 14

- 13

- 21

- Pa

hang

Priv

ate

7-

10-

13-

6-

6-

6-

Paha

ngTo

tal

233.

2625

3.49

304.

0620

4.42

194.

2427

6.01

Tere

ngga

nuPu

blic

10-

11-

16-

7-

7-

9-

Tere

ngga

nuPr

ivat

e1

- 2

- 2

- 1

- 1

- 1

- Te

reng

ganu

Tota

l11

2.17

132.

4718

3.30

82.

398

2.29

102.

85Ke

lant

anPu

blic

22-

24-

30-

25-

26-

29-

Kela

ntan

Priv

ate

6-

5-

5-

6-

5-

5-

Kela

ntan

Tota

l28

3.66

293.

6135

4.21

316.

2331

5.78

346.

42Sa

raw

akPu

blic

19-

21-

21-

21-

23-

26-

Sara

wak

Priv

ate

24-

29-

31-

13-

15-

14-

Sara

wak

Tota

l43

3.59

504.

1252

4.18

344.

7738

5.35

405.

74Sa

bah

Publ

ic23

- 21

- 21

- 19

- 20

- 24

- Sa

bah

Priv

ate

14-

17-

17-

4-

5-

6-

Saba

hTo

tal

372.

3938

2.39

382.

3123

2.24

252.

7130

3.22

WP

Labu

anPu

blic

1-

1-

1-

0-

0-

1-

WP

Labu

anPr

ivat

ena

- na

- na

- na

- na

- na

- W

P La

buan

Tota

l1

2.38

12.

301

2.21

00.

000

0.00

13.

62Sa

bah

& W

P La

buan

Publ

ic24

- 22

- 22

- 19

- 20

- 25

- Sa

bah

& W

P La

buan

Priv

ate

14-

17-

17-

4-

5-

6-

Saba

h &

WP

Labu

anTo

tal

382.

3939

2.39

392.

3123

2.19

252.

6431

3.23

Abb

revi

atio

n: -

not

ava

ilabl

e; n

a -

not a

pplic

able

FSel

ango

r &

WP

Putr

ajay

a &

WPK

L ar

e al

so c

olle

ctiv

ely

refe

rred

to a

s K

lang

Val

ley.

* Pu

blic

sec

tor

in 2

010

& 2

011

refe

rs to

MO

H a

nd U

nive

rsity

hos

pita

ls, w

hile

pub

lic s

ecto

r in

201

3 re

fers

to M

OH

, Uni

vers

ity, a

nd M

OD

hos

pita

ls.

Fo

r po

pula

tion

data

, ple

ase

refe

r App

endi

x 3:

Tab

le A

3.2

& T

able

A3.

12

80


Tabl

e 4.

1.13

: N

umbe

r &

Den

sity

of E

mer

genc

y M

edic

ine

Spec

ialis

ts a

nd A

naes

thes

iolo

gist

s in

Acu

te C

urat

ive

Hos

pita

ls in

Mal

aysi

a by

Sta

te &

Sec

tor,

2010

, 201

1 &

20

13

Stat

eSe

ctor

*

Emer

genc

y M

edic

ine

Spec

ialis

tsA

naes

thes

iolo

gist

s

2010

2011

2013

2010

2011

2013

Number


Number


Number


Number


Number

Per 100,000

population

Number


Mal

aysi

aPu

blic

93-

101

- 16

4-

385

- 38

1-

414

-M

alay

sia

Priv

ate

0-

0-

0-

292

- 30

3-

339

-M

alay

sia

Tota

l93

0.33

101

0.3

5 16

40.

5567

72.

3968

4 2

.36

753

2.53

Perl

isPu

blic

2-

2-

2-

5-

4-

4-

Perl

isPr

ivat

ena

- na

- na

-na

-na

-0

-Pe

rlis

Tota

l2

0.86

2 0

.84

20.

835

2.16

4 1

.68

41.

66Ke

dah

Publ

ic5

- 5

- 11

-16

-17

-20

-Ke

dah

Priv

ate

0-

0-

0-

11-

10-

11-

Keda

hTo

tal

50.

265

0.2

5 11

0.54

271.

3927

1.3

7 31

1.53

Keda

h &

Per

lisPu

blic

7-

7-

13-

21-

21-

24-

Keda

h &

Per

lisPr

ivat

e0

- 0

- 0

-11

-10

-11

-Ke

dah

& P

erlis

Tota

l7

0.32

7 0

.32

130.

5732

1.47

31 1

.40

351.

55Pu

lau

Pina

ngPu

blic

4-

4-

7-

19-

20-

26-

Pula

u Pi

nang

Priv

ate

0-

0-

0-

35-

35-

38-

Pula

u Pi

nang

Tota

l4

0.26

4 0

.31

70.

4354

3.46

55 3

.45

643.

93Pe

rak

Publ

ic5

- 5

- 8

-31

-29

-28

-Pe

rak

Priv

ate

0-

0-

0-

22-

23-

24-

Pera

kTo

tal

50.

215

0.2

1 8

0.33

532.

2552

2.1

7 52

2.13

Sela

ngor

Publ

ic16

- 17

- 28

-64

-65

-69

-Se

lang

orPr

ivat

e0

- 0

- 0

-78

-85

-96

-Se

lang

orTo

tal

160.

2917

0.3

0 28

0.49

142

2.60

150

2.6

9 16

52.

88W

P Pu

traj

aya

Publ

ic1

- 2

- 3

-7

-7

-9

-W

P Pu

traj

aya

Priv

ate

na-

na-

na-

na-

na-

0-

WP

Putr

ajay

aTo

tal

11.

382

2.6

2 3

3.64

79.

677

9.1

6 9

10.9

1W

PKL

Publ

ic21

- 25

- 37

-87

-87

-89

-W

PKL

Priv

ate

0-

0-

0-

69-

71-

80-

WPK

LTo

tal

211.

2525

1.4

8 37

2.14

156

9.32

158

9.3

2 16

99.

76Se

lang

or &

WP

Putr

ajay

a &

WPK

LPu

blic

38 -

44-

68-

158

-15

9-

167

-Se

lang

or &

WP

Putr

ajay

a &

WPK

LPr

ivat

e0

- 0

- 0

-14

7-

156

-17

6-

Sela

ngor

& W

P Pu

traj

aya

& W

PKL

Tota

l38

0.53

44 0

.60

680.

9030

54.

2331

5 4

.29

343

4.55

Abb

revi

atio

n: -

not

ava

ilabl

e; n

a -

not a

pplic

able

Sela

ngor

& W

P Pu

traj

aya

& W

PKL

are

also

col

lect

ivel

y re

ferr

ed to

as

Kla

ng V

alle

y.

* Pu

blic

sec

tor

in 2

010

& 2

011

refe

rs to

MO

H a

nd U

nive

rsity

hos

pita

ls, w

hile

pub

lic s

ecto

r in

201

3 re

fers

to M

OH

, Uni

vers

ity, a

nd M

OD

hos

pita

ls.

For

popu

latio

n da

ta, p

leas

e re

fer A

ppen

dix

3: T

able

A3.

1

81

CHAP

TER

4: H

OSPI

TAL

HEAL

TH W

ORKF

ORCE


Tabl

e 4.

1.13

[co

ntin

ued]

: Num

ber

& D

ensi

ty o

f Em

erge

ncy

Med

icin

e Sp

ecia

lists

and

Ana

esth

esio

logi

sts

in A

cute

Cur

ativ

e H

ospi

tals

in M

alay

sia

by S

tate

& S

ecto

r, 20

10, 2

011

& 2

013

Stat

eSe

ctor

*

Emer

genc

y M

edic

ine

Spec

ialis

tsA

naes

thes

iolo

gist

s

2010

2011

2013

2010

2011

2013

Number

Per 100,000

population

Number

Per 100,000

population

Number

Per 100,000

population

Number

Per 100,000

population

Number

Per 100,000

population

Number

Per 100,000

population

Neg

eri S

embi

lan

Publ

ic3

-3

-6

-10

-11

-13

-N

eger

i Sem

bila

nPr

ivat

e0

-0

-0

-9

-9

-12

-N

eger

i Sem

bila

nTo

tal

30.

293

0.2

9 6

0.56

191.

8620

1.9

2 25

2.34

Mel

aka

Publ

ic3

-3

-5

-11

-10

-12

-M

elak

aPr

ivat

e0

-0

-0

-17

-17

-18

-M

elak

aTo

tal

30.

373

0.3

6 5

0.59

283.

4127

3.2

4 30

3.52

Joho

rPu

blic

5-

5-

9-

35-

35-

35-

Joho

rPr

ivat

e0

-0

-0

-25

-25

-27

-Jo

hor

Tota

l5

0.15

5 0

.15

90.

2660

1.79

60 1

.76

621.

78Pa

hang

Publ

ic3

-3

-7

-18

-17

-19

-Pa

hang

Priv

ate

0-

0-

0-

5-

6-

7-

Paha

ngTo

tal

30.

203

0.2

0 7

0.45

231.

5323

1.5

1 26

1.65

Tere

ngga

nuPu

blic

4-

4-

5-

12-

12-

18-

Tere

ngga

nuPr

ivat

e0

-0

-0

-1

-1

-1

-Te

reng

ganu

Tota

l4

0.39

4 0

.37

50.

4513

1.25

13 1

.21

191.

71Ke

lant

anPu

blic

14-

15-

15-

25-

27-

28-

Kela

ntan

Priv

ate

0-

0-

0-

3-

2-

2-

Kela

ntan

Tota

l14

0.91

15 0

.93

150.

9028

1.82

29 1

.80

301.

80Sa

raw

akPu

blic

3-

3-

8-

22-

18-

18-

Sara

wak

Priv

ate

0-

0-

0-

13-

14-

15-

Sara

wak

Tota

l3

0.12

3 0

.12

80.

3135

1.42

32 1

.27

331.

28Sa

bah

Publ

ic4

-5

-13

-22

-21

-25

-Sa

bah

Priv

ate

0-

0-

0-

4-

5-

8-

Saba

hTo

tal

40.

125

0.1

5 13

0.38

260.

8126

0.7

8 33

0.96

WP

Labu

anPu

blic

0-

0-

0-

1-

1-

1-

WP

Labu

anPr

ivat

ena

-na

-na

-na

-na

-0

-W

P La

buan

Tota

l0

0.00

00

00.

001

1.15

1 1

.11

11.

07Sa

bah

& W

P La

buan

Publ

ic4

-5

-13

-23

-22

-26

-Sa

bah

& W

P La

buan

Priv

ate

0-

0-

0-

4-

5-

8-

Saba

h &

WP

Labu

anTo

tal

40.

125

0.1

5 13

0.37

270.

8227

0.7

9 34

0.97

Abb

revi

atio

n: -

not

ava

ilabl

e; n

a -

not a

pplic

able

Sela

ngor

& W

P Pu

traj

aya

& W

PKL

are

also

col

lect

ivel

y re

ferr

ed to

as

Kla

ng V

alle

y.

* Pu

blic

sec

tor

in 2

010

& 2

011

refe

rs to

MO

H a

nd U

nive

rsity

hos

pita

ls, w

hile

pub

lic s

ecto

r in

201

3 re

fers

to M

OH

, Uni

vers

ity, a

nd M

OD

hos

pita

ls.

Fo

r po

pula

tion

data

, ple

ase

refe

r App

endi

x 3:

Tab

le A

3.1

82


Tabl

e 4.

1.14

: N

umbe

r &

Den

sity

of O

phth

alm

olog

ists

and

Oto

rhin

olar

yngo

logi

sts

in A

cute

Cur

ativ

e H

ospi

tals

in M

alay

sia

by S

tate

& S

ecto

r, 20

10, 2

011

& 2

013

Stat

eSe

ctor

*

Oph

thal

mol

ogis

tsO

torh

inol

aryn

golo

gist

s

2010

2011

2013

2010

2011

2013

Number


Number


Number


Number


Number


Number


Mal

aysi

aPu

blic

216

- 21

8-

245

- 14

7-

153

- 16

7-

Mal

aysi

aPr

ivat

e15

9-

164

- 18

5-

139

- 14

2-

158

- M

alay

sia

Tota

l37

51.

3238

21.

3243

01.

4528

61.

0129

51.

0232

51.

09Pe

rlis

Publ

ic3

- 3

- 3

- 3

- 4

- 3

-Pe

rlis

Priv

ate

na-

na-

na-

na-

na-

na-

Perl

isTo

tal

31.

303

1.26

31.

243

1.30

41.

683

1.24

Keda

hPu

blic

13-

11-

13-

10-

9-

12-

Keda

hPr

ivat

e6

- 7

- 5

- 5

- 6

- 6

- Ke

dah

Tota

l19

0.98

180.

9118

0.89

150.

7715

0.76

180.

89Ke

dah

& P

erlis

Publ

ic16

- 14

- 16

- 13

- 13

- 15

-Ke

dah

& P

erlis

Priv

ate

6-

7-

5-

5-

6-

6-

Keda

h &

Per

lisTo

tal

221.

0121

0.95

210.

9318

0.83

190.

8621

0.93

Pula

u Pi

nang

Publ

ic10

- 9

- 10

- 5

- 4

- 7

-Pu

lau

Pina

ngPr

ivat

e21

- 20

- 25

- 18

- 18

- 18

- Pu

lau

Pina

ngTo

tal

311.

9929

1.82

352.

1523

1.47

221.

3825

1.54

Pera

kPu

blic

11-

8-

16-

10-

12-

14-

Pera

kPr

ivat

e14

- 14

- 16

- 10

- 10

- 10

- Pe

rak

Tota

l25

1.06

220.

9232

1.31

200.

8522

0.92

240.

99Se

lang

orPu

blic

47-

51-

54-

21-

23-

25-

Sela

ngor

Priv

ate

46-

52-

62-

35-

40-

43-

Sela

ngor

Tota

l93

1.70

103

1.85

116

2.03

561.

0363

1.13

681.

19W

P Pu

traj

aya

Publ

ic3

- 4

- 4

- 4

- 5

- 6

-W

P Pu

traj

aya

Priv

ate

na-

na-

na-

na-

na-

na-

WP

Putr

ajay

aTo

tal

34.

144

5.24

44.

854

5.52

56.

546

7.27

WPK

LPu

blic

40-

44-

47-

29-

33-

27-

WPK

LPr

ivat

e33

- 29

- 28

- 33

- 30

- 35

- W

PKL

Tota

l73

4.36

734.

3175

4.33

623.

7063

3.72

623.

58Se

lang

or &

WP

Putr

ajay

a &

WPK

LPu

blic

90-

63-

105

- 54

- 61

- 58

-Se

lang

or &

WP

Putr

ajay

a &

WPK

LPr

ivat

e79

- 40

- 90

- 68

- 70

- 78

- Se

lang

or &

WP

Putr

ajay

a &

WPK

LTo

tal

169

2.34

180

2.45

195

2.59

901.

2513

11.

7813

61.

80

Abb

revi

atio

n: -

not

ava

ilabl

e; n

a -

not a

pplic

able

Sela

ngor

& W

P Pu

traj

aya

& W

PKL

are

also

col

lect

ivel

y re

ferr

ed to

as

Kla

ng V

alle

y.

* Pu

blic

sec

tor

in 2

010

& 2

011

refe

rs to

MO

H a

nd U

nive

rsity

hos

pita

ls, w

hile

pub

lic s

ecto

r in

201

3 re

fers

to M

OH

, Uni

vers

ity, a

nd M

OD

hos

pita

ls.

Fo

r po

pula

tion

data

, ple

ase

refe

r App

endi

x 3:

Tab

le A

3.1

83

CHAP

TER

4: H

OSPI

TAL

HEAL

TH W

ORKF

ORCE


Tabl

e 4.

1.14

[co

ntin

ued]

: Num

ber

& D

ensi

ty o

f Oph

thal

mol

ogis

ts a

nd O

torh

inol

aryn

golo

gist

s in

Acu

te C

urat

ive

Hos

pita

ls in

Mal

aysi

a by

Sta

te &

Sec

tor,

2010

, 201

1 &

201

3

Stat

eSe

ctor

*

Oph

thal

mol

ogis

tsO

torh

inol

aryn

golo

gist

s

2010

2011

2013

2010

2011

2013

Number

Per 100,000

population

Number

Per 100,000

population

Number

Per 100,000

population

Number

Per 100,000

population

Number

Per 100,000

population

Number

Per 100,000

population

Neg

eri S

embi

lan

Publ

ic9

- 9

- 11

- 5

- 4

- 7

-N

eger

i Sem

bila

nPr

ivat

e6

- 6

- 7

- 5

- 5

- 5

- N

eger

i Sem

bila

nTo

tal

151.

4715

1.44

181.

6810

0.98

90.

8612

1.12

Mel

aka

Publ

ic6

- 7

- 7

- 5

- 4

- 5

-M

elak

aPr

ivat

e11

- 11

- 11

- 9

- 9

- 10

- M

elak

aTo

tal

172.

0718

2.16

182.

1114

1.71

131.

5615

1.76

Joho

rPu

blic

14-

13-

16-

12-

12-

14-

Joho

rPr

ivat

e8

- 9

- 10

- 10

- 11

- 14

- Jo

hor

Tota

l22

0.66

220.

6526

0.75

220.

6623

0.68

280.

81Pa

hang

Publ

ic12

- 12

- 11

- 10

- 10

- 11

-Pa

hang

Priv

ate

3-

2-

4-

4-

4-

7-

Paha

ngTo

tal

151.

0014

0.92

150.

9514

0.93

140.

9218

1.14

Tere

ngga

nuPu

blic

6-

7-

8-

6-

5-

4-

Tere

ngga

nuPr

ivat

e0

- 0

- 0

- 0

- 0

- 1

- Te

reng

ganu

Tota

l6

0.58

70.

658

0.72

60.

585

0.47

50.

45Ke

lant

anPu

blic

18-

18-

19-

15-

15-

17-

Kela

ntan

Priv

ate

1-

1-

2-

2-

2-

2-

Kela

ntan

Tota

l19

1.23

191.

1821

1.26

171.

1017

1.05

191.

14Sa

raw

akPu

blic

12-

11-

14-

4-

6-

6-

Sara

wak

Priv

ate

4-

7-

9-

6-

5-

5-

Sara

wak

Tota

l16

0.65

180.

7223

0.89

100.

4011

0.44

110.

43Sa

bah

Publ

ic12

- 11

- 12

- 8

- 7

- 9

-Sa

bah

Priv

ate

6-

6-

6-

2-

2-

2-

Saba

hTo

tal

180.

5617

0.51

180.

5310

0.31

90.

2711

0.32

WP

Labu

anPu

blic

0-

0-

0-

0-

0-

0-

WP

Labu

anPr

ivat

ena

- na

- na

- na

- na

- na

- W

P La

buan

Tota

l0

0.00

00.

000

0.00

00.

000

0.00

00.

00Sa

bah

& W

P La

buan

Publ

ic12

- 11

- 12

- 8

- 7

- 9

-Sa

bah

& W

P La

buan

Priv

ate

6-

6-

6-

2-

2-

2-

Saba

h &

WP

Labu

anTo

tal

180.

5517

0.50

180.

5110

0.30

90.

2611

0.31

Abb

revi

atio

n: -

not

ava

ilabl

e; n

a -

not a

pplic

able

Sela

ngor

& W

P Pu

traj

aya

& W

PKL

are

also

col

lect

ivel

y re

ferr

ed to

as

Kla

ng V

alle

y.

* Pu

blic

sec

tor

in 2

010

& 2

011

refe

rs to

MO

H a

nd U

nive

rsity

hos

pita

ls, w

hile

pub

lic s

ecto

r in

201

3 re

fers

to M

OH

, Uni

vers

ity, a

nd M

OD

hos

pita

ls.

For

popu

latio

n da

ta, p

leas

e re

fer A

ppen

dix

3: T

able

A3.

1

84


Tabl

e 4.

1.15

: N

umbe

r &

Den

sity

of O

rtho

paed

ic S

urge

ons,

Spo

rts

Med

icin

e Sp

ecia

lists

and

Reh

abili

tati

on M

edic

ine

Spec

ialis

ts in

Acu

te C

urat

ive

Hos

pita

ls in

Mal

ay-

sia

by S

tate

& S

ecto

r, 20

10, 2

011

& 2

013

Stat

eSe

ctor

*

Ort

hopa

edic

Sur

geon

sSp

orts

Med

icin

e Sp

ecia

lists

Reh

abili

tati

on M

edic

ine

Spec

ialis

ts

2010

2011

2013

2010

2011

2013

2010

2011

2013

Number


Number


Number


Number


Number


Number


Number


Number


Number


Mal

aysi

aPu

blic

268

- 27

9-

288

- 9

- 10

- 18

- 30

- 34

- 44

- M

alay

sia

Priv

ate

269

- 28

3-

319

- 0

- 0

- 0

- 4

- 3

- 4

- M

alay

sia

Tota

l53

71.

9056

21.

9460

72.

049

0.03

100.

0318

0.06

340.

1237

0.13

480.

16Pe

rlis

Publ

ic4

- 4

- 4

- 0

- 0

- 0

- 0

- 0

- 0

- Pe

rlis

Priv

ate

na-

na-

na-

na-

na-

na-

na-

na-

na-

Perl

isTo

tal

41.

734

1.68

41.

660

0.00

00.

000

0.00

00.

000

0.00

00.

00Ke

dah

Publ

ic12

- 15

- 15

- 0

- 0

- 0

- 0

- 0

- 1

- Ke

dah

Priv

ate

14-

14-

14-

0-

0-

0-

0-

0-

0-

Keda

hTo

tal

261.

3329

1.47

291.

430

0.00

00.

000

0.00

00.

000

0.00

10.

05Ke

dah

& P

erlis

Publ

ic16

- 19

- 19

- 0

- 0

- 0

- 0

- 0

- 1

- Ke

dah

& P

erlis

Priv

ate

14-

14-

14-

0-

0-

0-

0-

0-

0-

Keda

h &

Per

lisTo

tal

301.

3833

1.49

331.

460

0.00

00.

000

0.00

00.

000

0.00

10.

04Pu

lau

Pina

ngPu

blic

11-

10-

13-

0-

0-

0-

1-

1-

1-

Pula

u Pi

nang

Priv

ate

33-

33-

37-

0-

0-

0-

0-

0-

0-

Pula

u Pi

nang

Tota

l44

2.82

432.

7050

3.07

00.

000

0.00

00.

001

0.06

10.

061

0.06

Pera

kPu

blic

18-

20-

23-

0-

1-

1-

1-

2-

1-

Pera

kPr

ivat

e23

- 24

- 26

- 0

- 0

- 0

- 0

- 0

- 0

- Pe

rak

Tota

l41

1.74

441.

8449

2.01

00.

001

0.04

10.

041

0.04

20.

081

0.04

Sela

ngor

Publ

ic41

- 42

- 38

- 3

- 3

- 5

- 8

- 9

- 9

- Se

lang

orPr

ivat

e62

- 67

- 81

- 0

- 0

- 0

- 1

- 1

- 2

- Se

lang

orTo

tal

103

1.89

109

1.95

119

2.08

30.

053

0.05

50.

099

0.16

100.

1811

0.19

WP

Putr

ajay

aPu

blic

5-

7-

6-

0-

0-

0-

0-

0-

0-

WP

Putr

ajay

aPr

ivat

ena

- na

- na

- na

- na

- na

- na

- na

- na

- W

P Pu

traj

aya

Tota

l5

6.90

79.

166

7.27

00.

000

0.00

00.

000

0.00

00.

000

0.00

WPK

LPu

blic

60-

63-

61-

4-

4-

8-

12-

12-

14-

WPK

LPr

ivat

e58

- 57

- 66

- 0

- 0

- 0

- 3

- 2

- 2

- W

PKL

Tota

l11

87.

0512

07.

0812

77.

334

0.24

40.

248

0.46

150.

9014

0.83

160.

92Se

lang

or &

WP

Putr

ajay

a &

WPK

LPu

blic

106

- 11

2-

105

- 7

- 7

- 0

- 20

- 21

- 23

- Se

lang

or &

WP

Putr

ajay

a &

WPK

LPr

ivat

e12

0-

124

- 14

7-

0-

0-

0-

4-

3-

4-

Sela

ngor

& W

P Pu

traj

aya

& W

PKL

Tota

l22

63.

1323

63.

2125

23.

347

0.10

70.

100

0.00

240.

3324

0.33

270.

36

Abb

revi

atio

n: -

not

ava

ilabl

e; n

a -

not a

pplic

able

Sela

ngor

& W

P Pu

traj

aya

& W

PKL

are

also

col

lect

ivel

y re

ferr

ed to

as

Kla

ng V

alle

y.

* Pu

blic

sec

tor

in 2

010

& 2

011

refe

rs to

MO

H a

nd U

nive

rsity

hos

pita

ls, w

hile

pub

lic s

ecto

r in

201

3 re

fers

to M

OH

, Uni

vers

ity, a

nd M

OD

hos

pita

ls.

For

popu

latio

n da

ta, p

leas

e re

fer A

ppen

dix

3: T

able

A3.

1

85

CHAP

TER

4: H

OSPI

TAL

HEAL

TH W

ORKF

ORCE


Tabl

e 4.

1.15

[co

ntin

ued]

: Num

ber

& D

ensi

ty o

f Ort

hopa

edic

Sur

geon

s, S

port

s M

edic

ine

Spec

ialis

ts a

nd R

ehab

ilita

tion

Med

icin

e Sp

ecia

lists

in A

cute

Cur

ativ

e H

ospi

tals

in

Mal

aysi

a by

Sta

te &

Sec

tor,

2010

, 201

1 &

201

3

Stat

eSe

ctor

*

Ort

hopa

edic

Sur

geon

sSp

orts

Med

icin

e Sp

ecia

lists

Reh

abili

tati

on M

edic

ine

Spec

ialis

ts

2010

2011

2013

2010

2011

2013

2010

2011

2013

Number


Number


Number


Number


Number


Number


Number


Number


Number


Neg

eri S

embi

lan

Publ

ic8

- 8

- 13

- 1

- 1

- 1

- 4

- 5

- 5

- N

eger

i Sem

bila

nPr

ivat

e15

- 14

- 14

- 0

- 0

- 0

- 0

- 0

- 0

- N

eger

i Sem

bila

nTo

tal

232.

2522

2.11

272.

521

0.10

10.

101

0.09

40.

395

0.48

50.

47M

elak

aPu

blic

6-

6-

8-

0-

0-

1-

0-

0-

2-

Mel

aka

Priv

ate

14-

16-

18-

0-

0-

0-

0-

0-

0-

Mel

aka

Tota

l20

2.44

222.

6426

3.05

00.

000

0.00

10.

120

0.00

00.

002

0.23

Joho

rPu

blic

19-

23-

22-

0-

0-

0-

2-

3-

3-

Joho

rPr

ivat

e25

- 25

- 30

- 0

- 0

- 0

- 0

- 0

- 0

- Jo

hor

Tota

l44

1.31

481.

4152

1.50

00.

000

0.00

00.

002

0.06

30.

093

0.09

Paha

ngPu

blic

19-

14-

13-

0-

0-

0-

0-

0-

2-

Paha

ngPr

ivat

e4

- 9

- 10

- 0

- 0

- 0

- 0

- 0

- 0

- Pa

hang

Tota

l23

1.53

231.

5123

1.46

00.

000

0.00

00.

000

0.00

00.

002

0.13

Tere

ngga

nuPu

blic

9-

9-

9-

0-

0-

0-

0-

0-

1-

Tere

ngga

nuPr

ivat

e1

- 1

- 1

- 0

- 0

- 0

- 0

- 0

- 0

- Te

reng

ganu

Tota

l10

0.97

100.

9310

0.90

00.

000

0.00

00.

000

0.00

00.

001

0.09

Kela

ntan

Publ

ic31

- 30

- 29

- 0

- 0

- 1

- 1

- 1

- 2

- Ke

lant

anPr

ivat

e4

- 4

- 4

- 0

- 0

- 0

- 0

- 0

- 0

- Ke

lant

anTo

tal

352.

2734

2.11

331.

980

0.00

00.

001

0.06

10.

061

0.06

20.

12Sa

raw

akPu

blic

16-

15-

17-

0-

0-

0-

0-

0-

1-

Sara

wak

Priv

ate

10-

12-

11-

0-

0-

0-

0-

0-

0-

Sara

wak

Tota

l26

1.05

271.

0728

1.09

00.

000

0.00

00.

000

0.00

00.

001

0.04

Saba

hPu

blic

9-

13-

16-

1-

1-

1-

1-

1-

2-

Saba

hPr

ivat

e6

- 7

- 7

- 0

- 0

- 0

- 0

- 0

- 0

- Sa

bah

Tota

l15

0.47

200.

6023

0.67

10.

031

0.03

10.

031

0.03

10.

032

0.06

WP

Labu

anPu

blic

0-

0-

1-

0-

0-

0-

0-

0-

0-

WP

Labu

anPr

ivat

ena

- na

- na

- na

- na

- na

- na

- na

- na

- W

P La

buan

Tota

l0

0.00

00.

001

1.07

00.

000

0.00

00.

000

0.00

00.

000

0.00

Saba

h &

WP

Labu

anPu

blic

9-

13-

17-

1-

1-

1-

1-

1-

2-

Saba

h &

WP

Labu

anPr

ivat

e6

- 7

- 7

- 0

- 0

- 0

- 0

- 0

- 0

- Sa

bah

& W

P La

buan

Tota

l15

0.46

200.

5924

0.68

10.

031

0.03

10.

031

0.03

10.

032

0.06

Abb

revi

atio

n: -

not

ava

ilabl

e; n

a -

not a

pplic

able

Sela

ngor

& W

P Pu

traj

aya

& W

PKL

are

also

col

lect

ivel

y re

ferr

ed to

as

Kla

ng V

alle

y.

* Pu

blic

sec

tor

in 2

010

& 2

011

refe

rs to

MO

H a

nd U

nive

rsity

hos

pita

ls, w

hile

pub

lic s

ecto

r in

201

3 re

fers

to M

OH

, Uni

vers

ity, a

nd M

OD

hos

pita

ls.

Fo

r po

pula

tion

data

, ple

ase

refe

r App

endi

x 3:

Tab

le A

3.1

86


Tabl

e 4.

1.16

: N

umbe

r &

Den

sity

of P

sych

iatr

ists

and

Onc

olog

ists

in A

cute

Cur

ativ

e H

ospi

tals

in M

alay

sia

by S

tate

& S

ecto

r, 20

10, 2

011

& 2

013

Stat

eSe

ctor

*

Psyc

hiat

rist

s ‡

Onc

olog

ists

2010

2011

2013

2010

2011

2013

Number


Number


Number


Number


Number

Per 100,000

population

Number


Mal

aysi

aPu

blic

157

- 16

2-

184

- 33

- 30

- 37

- M

alay

sia

Priv

ate

49-

48-

58-

34-

38-

48-

Mal

aysi

aTo

tal

206

0.73

210

0.73

242

0.81

670.

2468

0.23

850.

29Pe

rlis

Publ

ic2

- 2

- 2

- 0

- 0

- 0

- Pe

rlis

Priv

ate

na-

na-

na-

na-

na-

na-

Perl

isTo

tal

20.

862

0.84

20.

830

0.00

00.

000

0.00

Keda

hPu

blic

7-

6-

9-

0-

0-

0-

Keda

hPr

ivat

e2

- 2

- 3

- 0

- 0

- 0

- Ke

dah

Tota

l9

0.46

80.

4112

0.59

00.

000

0.00

00.

00Ke

dah

& P

erlis

Publ

ic9

- 8

- 11

- 0

- 0

- 0

- Ke

dah

& P

erlis

Priv

ate

2-

2-

3-

0-

0-

0-

Keda

h &

Per

lisTo

tal

110.

5010

0.45

140.

620

0.00

00.

000

0.00

Pula

u Pi

nang

Publ

ic10

- 7

- 8

- 2

- 2

- 2

- Pu

lau

Pina

ngPr

ivat

e6

- 6

- 7

- 10

- 11

- 11

- Pu

lau

Pina

ngTo

tal

161.

0213

0.82

150.

9212

0.77

130.

8213

0.80

Pera

kPu

blic

9-

10-

12-

0-

0-

0-

Pera

kPr

ivat

e3

- 3

- 4

- 2

- 2

- 4

- Pe

rak

Tota

l12

0.51

130.

5416

0.66

20.

092

0.08

40.

16Se

lang

orPu

blic

25-

24-

26-

0-

0-

0-

Sela

ngor

Priv

ate

12-

15-

20-

9-

10-

11-

Sela

ngor

Tota

l37

0.68

390.

7046

0.80

90.

1610

0.18

110.

19W

P Pu

traj

aya

Publ

ic2

- 3

- 3

- 0

- 0

- 4

- W

P Pu

traj

aya

Priv

ate

na-

na-

na-

na-

na-

na-

WP

Putr

ajay

aTo

tal

22.

763

3.93

33.

640

0.00

00.

004

4.85

WPK

LPu

blic

43-

47-

54-

21-

19-

19-

WPK

LPr

ivat

e18

- 12

- 14

- 5

- 5

- 8

- W

PKL

Tota

l61

3.64

593.

4868

3.93

261.

5524

1.42

271.

56Se

lang

or &

WP

Putr

ajay

a &

WPK

LPu

blic

70-

74-

83-

21-

19-

23-

Sela

ngor

& W

P Pu

traj

aya

& W

PKL

Priv

ate

30-

27-

34-

14-

15-

19-

Sela

ngor

& W

P Pu

traj

aya

& W

PKL

Tota

l10

01.

3910

11.

3711

71.

5535

0.49

340.

4642

0.56

Abb

revi

atio

n: -

not

ava

ilabl

e; n

a -

not a

pplic

able

Sela

ngor

& W

P Pu

traj

aya

& W

PKL

are

also

col

lect

ivel

y re

ferr

ed to

as

Kla

ng V

alle

y.

* Pu

blic

sec

tor

in 2

010

& 2

011

refe

rs to

MO

H a

nd U

nive

rsity

hos

pita

ls, w

hile

pub

lic s

ecto

r in

201

3 re

fers

to M

OH

, Uni

vers

ity, a

nd M

OD

hos

pita

ls.

For

popu

latio

n da

ta, p

leas

e re

fer A

ppen

dix

3: T

able

A3.

1‡

Dat

a on

the

tota

l num

ber

of h

ospi

tal p

sych

iatr

ists

in th

e co

untr

y (i.

e. in

bot

h ac

ute

cura

tive

hosp

itals

and

psy

chia

tric

inst

itutio

ns) i

s av

aila

ble

in th

e N

HSI

dat

abas

e. T

he ta

ble

abov

e sh

ows

psyc

hiat

rist

s in

the

acut

e cu

rativ

e ho

spita

ls o

nly.

87

CHAP

TER

4: H

OSPI

TAL

HEAL

TH W

ORKF

ORCE


Tabl

e 4.

1.16

[co

ntin

ued]

: Num

ber

& D

ensi

ty o

f Psy

chia

tris

ts a

nd O

ncol

ogis

ts in

Acu

te C

urat

ive

Hos

pita

ls in

Mal

aysi

a by

Sta

te &

Sec

tor,

2010

, 201

1 &

201

3

Abb

revi

atio

n: -

not

ava

ilabl

e; n

a -

not a

pplic

able

Sela

ngor

& W

P Pu

traj

aya

& W

PKL

are

also

col

lect

ivel

y re

ferr

ed to

as

Kla

ng V

alle

y.

* Pu

blic

sec

tor

in 2

010

& 2

011

refe

rs to

MO

H a

nd U

nive

rsity

hos

pita

ls, w

hile

pub

lic s

ecto

r in

201

3 re

fers

to M

OH

, Uni

vers

ity, a

nd M

OD

hos

pita

ls.

For

popu

latio

n da

ta, p

leas

e re

fer A

ppen

dix

3: T

able

A3.

1‡

Dat

a on

the

tota

l num

ber

of h

ospi

tal p

sych

iatr

ists

in th

e co

untr

y (i.

e. in

bot

h ac

ute

cura

tive

hosp

itals

and

psy

chia

tric

inst

itutio

ns) i

s av

aila

ble

in th

e N

HSI

dat

abas

e. T

he ta

ble

abov

e sh

ows

psyc

hiat

rist

s in

the

acut

e cu

rativ

e ho

spita

ls o

nly.

Stat

eSe

ctor

*

Psyc

hiat

rist

s ‡

Onc

olog

ists

2010

2011

2013

2010

2011

2013

Number


Number


Number


Number


Number

Per 100,000

population

Number


Neg

eri S

embi

lan

Publ

ic6

- 6

- 6

- 1

- 0

- 0

- N

eger

i Sem

bila

nPr

ivat

e2

- 2

- 2

- 2

- 3

- 5

- N

eger

i Sem

bila

nTo

tal

80.

788

0.77

80.

753

0.29

30.

295

0.47

Mel

aka

Publ

ic4

- 3

- 7

- 0

- 0

- 0

- M

elak

aPr

ivat

e3

- 3

- 3

- 3

- 5

- 5

- M

elak

aTo

tal

70.

856

0.72

101.

173

0.37

50.

605

0.59

Joho

rPu

blic

11-

11-

15-

2-

2-

2-

Joho

rPr

ivat

e0

- 2

- 2

- 2

- 1

- 3

- Jo

hor

Tota

l11

0.33

130.

3817

0.49

40.

123

0.09

50.

14Pa

hang

Publ

ic11

- 11

- 9

- 1

- 1

- 1

- Pa

hang

Priv

ate

0-

0-

0-

0-

0-

0-

Paha

ngTo

tal

110.

7311

0.72

90.

571

0.07

10.

071

0.06

Tere

ngga

nuPu

blic

4-

6-

7-

0-

0-

0-

Tere

ngga

nuPr

ivat

e0

- 0

- 0

- 0

- 0

- 0

- Te

reng

ganu

Tota

l4

0.39

60.

567

0.63

00.

000

0.00

00.

00Ke

lant

anPu

blic

16-

17-

15-

2-

0-

2-

Kela

ntan

Priv

ate

0-

0-

0-

0-

2-

0-

Kela

ntan

Tota

l16

1.04

171.

0515

0.90

20.

132

0.12

20.

12Sa

raw

akPu

blic

4-

6-

5-

3-

3-

5-

Sara

wak

Priv

ate

2-

2-

2-

0-

0-

0-

Sara

wak

Tota

l6

0.24

80.

327

0.27

30.

123

0.12

50.

19Sa

bah

Publ

ic3

- 3

- 6

- 1

- 1

- 2

- Sa

bah

Priv

ate

1-

1-

1-

1-

1-

1-

Saba

hTo

tal

40.

124

0.12

70.

202

0.06

20.

063

0.09

WP

Labu

anPu

blic

0-

0-

0-

0-

0-

0-

WP

Labu

anPr

ivat

ena

- na

- na

- na

- na

- na

- W

P La

buan

Tota

l0

0.00

00.

000

0.00

00.

000

0.00

00.

00Sa

bah

& W

P La

buan

Publ

ic3

- 3

- 6

- 1

- 1

- 2

- Sa

bah

& W

P La

buan

Priv

ate

1-

1-

1-

1-

1-

1-

Saba

h &

WP

Labu

anTo

tal

40.

124

0.12

70.

202

0.06

20.

063

0.09

88


Tabl

e 4.

1.17

: N

umbe

r &

Den

sity

of R

adio

logi

sts

and

Nuc

lear

Med

icin

e Sp

ecia

lists

in A

cute

Cur

ativ

e H

ospi

tals

in M

alay

sia

by S

tate

& S

ecto

r, 20

10, 2

011

& 2

013

Stat

eSe

ctor

*

Rad

iolo

gist

s N

ucle

ar M

edic

ine

Spec

ialis

ts

2010

2011

2013

2010

2011

2013

Number


Number


Number


Number


Number


Number


Mal

aysi

aPu

blic

234

- 24

7-

278

- 6

- 8

- 15

- M

alay

sia

Priv

ate

158

- 16

6-

185

- 9

- 7

- 7

- M

alay

sia

Tota

l39

21.

3841

31.

4346

31.

5615

0.05

150.

0522

0.07

Perl

isPu

blic

2-

2-

3-

0-

0-

0 -

Perl

isPr

ivat

ena

- na

- na

- na

- na

- na

- Pe

rlis

Tota

l2

0.86

20.

843

1.24

00.

000

0.00

00.

00Ke

dah

Publ

ic11

- 11

- 15

- 0

- 0

- 0

- Ke

dah

Priv

ate

7-

7-

7-

0-

0-

0-

Keda

hTo

tal

180.

9218

0.91

221.

090

0.00

00.

000

0.00

Keda

h &

Per

lisPu

blic

13-

13-

18-

0-

0-

0-

Keda

h &

Per

lisPr

ivat

e7

- 7

- 7

- 0

- 0

- 0

-Ke

dah

& P

erlis

Tota

l20

0.92

200.

9025

1.10

00.

000

0.00

00.

00Pu

lau

Pina

ngPu

blic

12-

13-

13-

1-

2-

2-

Pula

u Pi

nang

Priv

ate

22-

23-

26-

2-

1-

1 -

Pula

u Pi

nang

Tota

l34

2.18

362.

2639

2.39

30.

193

0.19

30.

18Pe

rak

Publ

ic14

- 13

- 15

- 0

- 0

- 0

- Pe

rak

Priv

ate

12-

14-

14-

0-

0-

0 -

Pera

kTo

tal

261.

1127

1.13

291.

190

0.00

00.

000

0.00

Sela

ngor

Publ

ic44

- 43

- 50

- 0

- 4

- 0

- Se

lang

orPr

ivat

e37

- 41

- 42

- 4

- 0

- 4

-Se

lang

orTo

tal

811.

4884

1.51

921.

614

0.07

40.

074

0.07

WP

Putr

ajay

aPu

blic

5-

4-

6-

0-

0-

2-

WP

Putr

ajay

aPr

ivat

ena

- na

- na

- na

- na

- na

-W

P Pu

traj

aya

Tota

l5

6.90

45.

246

7.27

00.

000

0.00

22.

42W

PKL

Publ

ic53

- 65

- 69

- 2

- 3

- 6

- W

PKL

Priv

ate

39-

32-

39-

3-

1-

1 -

WPK

LTo

tal

925.

4997

5.72

108

6.24

50.

304

0.24

70.

40Se

lang

or &

WP

Putr

ajay

a &

WPK

LPu

blic

102

- 11

2-

125

- 2

- 7

- 8

- Se

lang

or &

WP

Putr

ajay

a &

WPK

LPr

ivat

e76

- 73

- 81

- 7

- 1

- 5

-Se

lang

or &

WP

Putr

ajay

a &

WPK

LTo

tal

178

2.47

185

2.52

206

2.73

90.

128

0.11

130.

17

Abb

revi

atio

n: -

not

ava

ilabl

e; n

a -

not a

pplic

able

Sela

ngor

& W

P Pu

traj

aya

& W

PKL

are

also

col

lect

ivel

y re

ferr

ed to

as

Kla

ng V

alle

y.

* Pu

blic

sec

tor

in 2

010

& 2

011

refe

rs to

MO

H a

nd U

nive

rsity

hos

pita

ls, w

hile

pub

lic s

ecto

r in

201

3 re

fers

to M

OH

, Uni

vers

ity, a

nd M

OD

hos

pita

ls.

For

popu

latio

n da

ta, p

leas

e re

fer A

ppen

dix

3: T

able

A3.

1

89

CHAP

TER

4: H

OSPI

TAL

HEAL

TH W

ORKF

ORCE


Tabl

e 4.

1.17

[co

ntin

ued]

: Num

ber

& D

ensi

ty o

f Rad

iolo

gist

s an

d N

ucle

ar M

edic

ine

Spec

ialis

ts in

Acu

te C

urat

ive

Hos

pita

ls in

Mal

aysi

a by

Sta

te &

Sec

tor,

2010

, 201

1 &

201

3

Stat

eSe

ctor

*

Rad

iolo

gist

s N

ucle

ar M

edic

ine

Spec

ialis

ts

2010

2011

2013

2010

2011

2013

Number


Number


Number


Number


Number


Number


Neg

eri S

embi

lan

Publ

ic9

- 7

- 13

- 0

- 0

- 0

- N

eger

i Sem

bila

nPr

ivat

e6

- 8

- 9

- 0

- 0

- 0

-N

eger

i Sem

bila

nTo

tal

151.

4715

1.44

222.

060

0.00

00.

000

0.00

Mel

aka

Publ

ic7

- 5

- 11

- 0

- 0

- 0

- M

elak

aPr

ivat

e7

- 9

- 9

- 0

- 0

- 0

-M

elak

aTo

tal

141.

7114

1.68

202.

350

0.00

00.

000

0.00

Joho

rPu

blic

18-

19-

16-

1-

1-

1-

Joho

rPr

ivat

e13

- 15

- 19

- 0

- 1

- 1

-Jo

hor

Tota

l31

0.93

341.

0035

1.01

10.

032

0.06

20.

06Pa

hang

Publ

ic14

- 13

- 15

- 0

- 0

- 0

- Pa

hang

Priv

ate

3-

3-

5-

0-

0-

0 -

Paha

ngTo

tal

171.

1316

1.05

201.

270

0.00

00.

000

0.00

Tere

ngga

nuPu

blic

6-

8-

8-

0-

0-

0-

Tere

ngga

nuPr

ivat

e0

- 0

- 1

- 0

- 0

- 0

-Te

reng

ganu

Tota

l6

0.58

80.

749

0.81

00.

000

0.00

00.

00Ke

lant

anPu

blic

17-

18-

20-

1-

1-

1-

Kela

ntan

Priv

ate

1-

1-

1-

0-

0-

0 -

Kela

ntan

Tota

l18

1.17

191.

1821

1.26

10.

061

0.06

10.

06Sa

raw

akPu

blic

13-

14-

12-

1-

1-

2-

Sara

wak

Priv

ate

9-

11-

11-

0-

0-

0 -

Sara

wak

Tota

l22

0.89

250.

9923

0.89

10.

041

0.04

20.

08Sa

bah

Publ

ic9

- 12

- 11

- 0

- 0

- 1

- Sa

bah

Priv

ate

2-

2-

2-

0-

0-

0 -

Saba

hTo

tal

110.

3414

0.42

130.

380

0.00

00.

001

0.03

WP

Labu

anPu

blic

0-

0-

1-

0-

0-

0-

WP

Labu

anPr

ivat

ena

- na

- na

- na

- na

- na

-W

P La

buan

Tota

l0

0.00

00.

001

1.07

00.

000

0.00

00.

00Sa

bah

& W

P La

buan

Publ

ic9

- 12

- 12

- 0

- 0

- 1

- Sa

bah

& W

P La

buan

Priv

ate

2-

2-

2-

0-

0-

0 -

Saba

h &

WP

Labu

anTo

tal

110.

3314

0.41

140.

400

0.00

00.

001

0.03

Abb

revi

atio

n: -

not

ava

ilabl

e; n

a -

not a

pplic

able

Sela

ngor

& W

P Pu

traj

aya

& W

PKL

are

also

col

lect

ivel

y re

ferr

ed to

as

Kla

ng V

alle

y.

* Pu

blic

sec

tor

in 2

010

& 2

011

refe

rs to

MO

H a

nd U

nive

rsity

hos

pita

ls, w

hile

pub

lic s

ecto

r in

201

3 re

fers

to M

OH

, Uni

vers

ity, a

nd M

OD

hos

pita

ls.

Fo

r po

pula

tion

data

, ple

ase

refe

r App

endi

x 3:

Tab

le A

3.1

90


Tabl

e 4.

1.18

: N

umbe

r &

Den

sity

of P

atho

logi

sts

and

Fore

nsic

Pat

holo

gist

s in

Acu

te C

urat

ive

Hos

pita

ls in

Mal

aysi

a by

Sta

te &

Sec

tor,

2010

, 201

1 &

201

3

Stat

eSe

ctor

*

Path

olog

ists

‡Fo

rens

ic P

atho

logi

sts

2010

2011

2013

2010

2011

2013

Number

Per 100,000

population

Number

Per 100,000

population

Number

Per 100,000

population

Number


Number

Per 100,000

population

Number


Mal

aysi

aPu

blic

256

- 27

8-

332

- 27

- 26

- 33

- M

alay

sia

Priv

ate

43-

43-

40-

0-

0-

0-

Mal

aysi

aTo

tal

299

1.06

321

1.11

372

1.25

270.

1026

0.09

330.

11Pe

rlis

Publ

ic3

- 3

- 3

- 0

- 0

- 0

- Pe

rlis

Priv

ate

0-

0-

0-

na-

na-

na-

Perl

isTo

tal

31.

303

1.26

31.

240

0.00

00.

000

0.00

Keda

hPu

blic

8-

9-

15-

1-

1-

1-

Keda

hPr

ivat

e0

- 0

- 0

- 0

- 0

- 0

- Ke

dah

Tota

l8

0.41

90.

4615

0.74

10.

051

0.05

10.

05Ke

dah

& P

erlis

Publ

ic11

- 12

- 18

- 1

- 0

- 1

- Ke

dah

& P

erlis

Priv

ate

0-

0-

0-

0-

0-

0-

Keda

h &

Per

lisTo

tal

110.

5012

0.54

180.

801

0.05

00.

001

0.04

Pula

u Pi

nang

Publ

ic10

- 9

- 14

- 1

- 2

- 2

- Pu

lau

Pina

ngPr

ivat

e2

- 2

- 3

- 0

- 0

- 0

- Pu

lau

Pina

ngTo

tal

120.

7711

0.69

171.

041

0.06

20.

132

0.12

Pera

kPu

blic

13-

13-

16-

1-

1-

2-

Pera

kPr

ivat

e1

- 2

- 2

- 0

- 0

- 0

- Pe

rak

Tota

l14

0.60

150.

6318

0.74

10.

041

0.04

20.

08Se

lang

orPu

blic

43-

36-

46-

5-

6-

6-

Sela

ngor

Priv

ate

16-

17-

16-

0-

0-

0-

Sela

ngor

Tota

l59

1.08

530.

9562

1.08

50.

096

0.11

60.

10W

P Pu

traj

aya

Publ

ic5

- 4

- 7

- 0

- 0

- 0

- W

P Pu

traj

aya

Priv

ate

na-

na-

na-

na-

na-

na-

WP

Putr

ajay

aTo

tal

56.

904

5.24

78.

480

0.00

00.

000

0.00

WPK

LPu

blic

68-

92-

86-

9-

8-

9-

WPK

LPr

ivat

e17

- 16

- 13

- 0

- 0

- 0

- W

PKL

Tota

l85

5.08

108

6.37

995.

729

0.54

80.

479

0.52

Sela

ngor

& W

P Pu

traj

aya

& W

PKL

Publ

ic11

6-

132

- 13

9-

14-

14-

15-

Sela

ngor

& W

P Pu

traj

aya

& W

PKL

Priv

ate

33-

33-

29-

0-

0-

0-

Sela

ngor

& W

P Pu

traj

aya

& W

PKL

Tota

l14

92.

0716

52.

2516

82.

2314

0.19

140.

1915

0.20

Abb

revi

atio

n: -

not

ava

ilabl

e; n

a -

not a

pplic

able

Sela

ngor

& W

P Pu

traj

aya

& W

PKL

are

also

col

lect

ivel

y re

ferr

ed to

as

Kla

ng V

alle

y.

* Pu

blic

sec

tor

in 2

010

& 2

011

refe

rs to

MO

H a

nd U

nive

rsity

hos

pita

ls, w

hile

pub

lic s

ecto

r in

201

3 re

fers

to M

OH

, Uni

vers

ity, a

nd M

OD

hos

pita

ls.

‡ Pa

thol

ogis

ts r

efer

to s

peci

alis

ts fr

om th

e di

scip

line

of p

atho

logy

AN

D it

s su

bspe

cial

ties

(ana

tom

ical

pat

holo

gy, b

ioch

emis

try,

hae

mat

olog

y, m

edic

al m

icro

biol

ogy,

and

met

abol

ic m

edic

ine)

For

popu

latio

n da

ta, p

leas

e re

fer A

ppen

dix

3: T

able

A3.

1

91

CHAP

TER

4: H

OSPI

TAL

HEAL

TH W

ORKF

ORCE


Tabl

e 4.

1.18

[co

ntin

ued]

: Num

ber

& D

ensi

ty o

f Pat

holo

gist

s an

d Fo

rens

ic P

atho

logi

sts

in A

cute

Cur

ativ

e H

ospi

tals

in M

alay

sia

by S

tate

& S

ecto

r, 20

10, 2

011

& 2

013

Abb

revi

atio

n: -

not

ava

ilabl

e; n

a -

not a

pplic

able

Sela

ngor

& W

P Pu

traj

aya

& W

PKL

are

also

col

lect

ivel

y re

ferr

ed to

as

Kla

ng V

alle

y.

* Pu

blic

sec

tor

in 2

010

& 2

011

refe

rs to

MO

H a

nd U

nive

rsity

hos

pita

ls, w

hile

pub

lic s

ecto

r in

201

3 re

fers

to M

OH

, Uni

vers

ity, a

nd M

OD

hos

pita

ls.

‡ Pa

thol

ogis

ts r

efer

to s

peci

alis

ts fr

om th

e di

scip

line

of p

atho

logy

AN

D it

s su

bspe

cial

ties

(ana

tom

ical

pat

holo

gy, b

ioch

emis

try,

hae

mat

olog

y, m

edic

al m

icro

biol

ogy,

and

met

abol

ic m

edic

ine)

For

popu

latio

n da

ta, p

leas

e re

fer A

ppen

dix

3: T

able

A3.

1

Stat

eSe

ctor

*

Path

olog

ists

‡Fo

rens

ic P

atho

logi

sts

2010

2011

2013

2010

2011

2013

Number


Number


Number


Number


Number


Number


Neg

eri S

embi

lan

Publ

ic11

- 10

- 14

- 1

- 1

- 1

- N

eger

i Sem

bila

nPr

ivat

e0

- 0

- 0

- 0

- 0

- 0

- N

eger

i Sem

bila

nTo

tal

111.

0810

0.96

141.

311

0.10

10.

101

0.09

Mel

aka

Publ

ic7

- 7

- 10

- 1

- 1

- 1

- M

elak

aPr

ivat

e2

- 3

- 4

- 0

- 0

- 0

- M

elak

aTo

tal

91.

1010

1.20

141.

641

0.12

10.

121

0.12

Joho

rPu

blic

15-

13-

21-

2-

2-

3-

Joho

rPr

ivat

e0

- 0

- 0

- 0

- 0

- 0

- Jo

hor

Tota

l15

0.45

130.

3821

0.60

20.

062

0.06

30.

09Pa

hang

Publ

ic11

- 11

- 16

- 3

- 2

- 2

- Pa

hang

Priv

ate

0-

0-

0-

0-

0-

0-

Paha

ngTo

tal

110.

7311

0.72

161.

023

0.20

20.

132

0.13

Tere

ngga

nuPu

blic

11-

9-

12-

0-

0-

1-

Tere

ngga

nuPr

ivat

e0

- 0

- 0

- 0

- 0

- 0

- Te

reng

ganu

Tota

l11

1.06

90.

8412

1.08

00.

000

0.00

10.

09Ke

lant

anPu

blic

38-

47-

49-

1-

1-

1-

Kela

ntan

Priv

ate

0-

0-

0-

0-

0-

0-

Kela

ntan

Tota

l38

2.47

472.

9149

2.94

10.

061

0.06

10.

06Sa

raw

akPu

blic

3-

5-

9-

1-

0-

2-

Sara

wak

Priv

ate

4-

3-

2-

0-

0-

0-

Sara

wak

Tota

l7

0.28

80.

3211

0.43

10.

040

0.00

20.

08Sa

bah

Publ

ic10

- 10

- 14

- 1

- 1

- 2

- Sa

bah

Priv

ate

1-

0-

0-

0-

0-

0-

Saba

hTo

tal

110.

3410

0.30

140.

411

0.03

10.

032

0.06

WP

Labu

anPu

blic

0-

0-

0-

0-

0-

0-

WP

Labu

anPr

ivat

ena

- na

- na

- na

- na

- na

- W

P La

buan

Tota

l0

0.00

00.

000

0.00

00.

000

0.00

00.

00Sa

bah

& W

P La

buan

Publ

ic10

- 10

- 14

- 1

- 1

- 2

- Sa

bah

& W

P La

buan

Priv

ate

1-

0-

0-

0-

0-

0-

Saba

h &

WP

Labu

anTo

tal

110.

3310

0.29

140.

401

0.03

10.

032

0.06

92


Tabl

e 4.

2 : N

umbe

r &

Den

sity

of T

otal

Sta

ff N

urse

s an

d St

aff N

urse

s w

ith

Post

-bas

ic T

rain

ing

in A

cute

Cur

ativ

e H

ospi

tals

in M

alay

sia

by S

tate

& S

ecto

r, 20

11-2

013

Stat

eSe

ctor

*

Tota

l Sta

ff N

urse

sTo

tal S

taff

Nur

ses

wit

h Po

st B

asic

Tra

inin

g

2011

2012

2013

2011

2012

2013

Number


Number


Number


Number


Number


Number


Mal

aysi

aPu

blic

42,

597

- 4

7,31

1 -

50,

541

- 1

4,74

7 -

15,

626

- 1

7,88

5 -

M

alay

sia

Priv

ate

12,8

51

- 16

,314

-17

,582

- 2

,755

-2,

877

- 3

,342

-

Mal

aysi

aTo

tal

55,4

48

191.

4363

,625

216.

8868

,123

229.

2517

,502

60

.42

18,5

0363

.06

21,2

27

71.4

3Pe

rlis

Publ

ic 5

43

- 5

48

-

567

-

1

75

- 1

95

- 2

15

-

Perl

isPr

ivat

e n

a n

a n

a n

a n

a n

a n

a n

a n

a n

a n

a n

a Pe

rlis

Tota

l 5

43

228.

63 5

48

228.

91 5

67

234.

88 1

75

73.6

8 1

95

81.4

5 2

15

89.0

6Ke

dah

Publ

ic 2

,937

-

3,0

65

-

3,3

46

-

1,1

22

-

1,1

33

- 1

,351

-

Keda

hPr

ivat

e 4

65

- 5

22

-

619

-

82

-

88

-

108

-

Keda

hTo

tal

3,4

02

172.

40 3

,587

17

9.64

3,9

65

196.

18 1

,204

61

.00

1,2

21

61.1

5 1

,459

72

.19

Keda

h &

Per

lisPu

blic

3,4

80

-

3,6

13

- 3

,913

-

1,2

97

-

1,3

28

- 1

,566

-

Keda

h &

Per

lisPr

ivat

e 4

65

-

522

-

619

-

82

- 8

8 -

108

-

Keda

h &

Per

lisTo

tal

3,9

45

178.

44 4

,135

18

4.91

4,5

32

200.

31 1

,379

62

.37

1,4

16

63.3

2 1

,674

73

.99

Pula

u Pi

nang

Publ

ic 2

,060

-

3

,036

-

2,5

66

-

714

-

826

-

880

-

Pu

lau

Pina

ngPr

ivat

e 1

,509

-

2,3

95

- 2

,454

-

4

00

- 4

93

- 5

33

-

Pula

u Pi

nang

Tota

l 3

,569

22

3.96

5,4

31

337.

10 5

,020

30

8.27

1,1

14

69.8

8 1

,319

81

.85

1,4

13

86.7

7Pe

rak

Publ

ic 3

,678

-

3,5

21

-

3,9

33

- 1

,156

-

1,6

75

- 1

,736

-

Pe

rak

Priv

ate

765

-

972

-

1,0

52

- 1

71

- 1

90

- 2

17

-

Pera

kTo

tal

4,4

43

185.

31 4

,493

18

5.91

4,9

85

204.

58 1

,327

55

.33

1,8

65

77.1

7 1

,953

80

.16

Sela

ngor

Publ

ic 4

,727

-

5

,767

-

6,2

04

-

1,1

84

- 1

,817

-

2,0

89

- Se

lang

orPr

ivat

e 3

,625

-

4

,558

-

4,8

44

- 6

78

- 7

19

- 8

88

- Se

lang

orTo

tal

8,3

52

149.

74 1

0,32

5 18

2.72

11,

048

192.

96 1

,862

33

.39

2,5

36

44.8

8 2

,977

51

.99

WP

Putr

ajay

aPu

blic

495

-

547

-

931

-

229

-

106

-

144

-

W

P Pu

traj

aya

Priv

ate

na

- n

a -

na

- n

a -

na

- n

a -

WP

Putr

ajay

aTo

tal

495

64

7.91

547

68

8.92

931

11

28.4

8 2

29

299.

74 1

06

133.

50 1

44

174.

55W

P Ku

ala

Lum

pur

Publ

ic 6

,283

-

6,8

63

- 6

,920

-

1,9

59

- 2

,082

-

2,3

45

-

WP

Kual

a Lu

mpu

rPr

ivat

e 3

,168

-

3

,805

-

4,1

23

- 7

49

- 7

01

- 7

51

- W

P Ku

ala

Lum

pur

Tota

l 9

,451

55

7.76

10,

668

622.

61 1

1,04

3 63

7.59

2,7

08

159.

78 2

,783

16

2.40

3,0

96

178.

74Se

lang

or &

WP

Putr

ajay

a &

WP

Kual

a Lu

mpu

rPu

blic

11,

505

- 1

3,17

7 -

14,

055

- 3

,372

-

4,0

05

- 4

,578

-

Sela

ngor

& W

P Pu

traj

aya

& W

P Ku

ala

Lum

pur

Priv

ate

6,7

93

- 8

,363

-

8,9

67

- 1

,427

-

1,4

20

- 1

,639

-

Sela

ngor

& W

P Pu

traj

aya

& W

P Ku

ala

Lum

pur

Tota

l 1

8,29

8 24

9.01

21,

540

289.

37 2

3,02

2 30

5.34

4,7

99

65.3

0 5

,425

72

.88

6,21

782

.45

Abb

revi

atio

n: -

not

ava

ilabl

e; n

a -

not a

pplic

able

Sela

ngor

& W

P Pu

traj

aya

& W

PKL

are

also

col

lect

ivel

y re

ferr

ed to

as

Kla

ng V

alle

y.

*

Publ

ic s

ecto

r in

201

1 re

fers

to M

OH

and

Uni

vers

ity h

ospi

tals

, whi

le p

ublic

sec

tor

in 2

012

& 2

013

refe

rs to

MO

H, U

nive

rsity

, and

MO

D h

ospi

tals

.

For

popu

latio

n da

ta, p

leas

e re

fer A

ppen

dix

3: T

able

A3.

1

93

CHAP

TER

4: H

OSPI

TAL

HEAL

TH W

ORKF

ORCE


Tabl

e 4.

2 [c

onti

nued

]: N

umbe

r &

Den

sity

of T

otal

Sta

ff N

urse

s an

d St

aff N

urse

s w

ith

Post

-bas

ic T

rain

ing

in A

cute

Cur

ativ

e H

ospi

tals

in M

alay

sia

by S

tate

& S

ecto

r, 20

11-2

013

Stat

eSe

ctor

*

Tota

l Sta

ff N

urse

sTo

tal S

taff

Nur

ses

wit

h Po

st B

asic

Tra

inin

g

2011

2012

2013

2011

2012

2013

Number


Number


Number


Number


Number


Number


Neg

eri S

embi

lan

Publ

ic 1

,518

-

1,5

52

-

1,7

45

- 4

74

- 5

43

- 6

07

- N

eger

i Sem

bila

nPr

ivat

e 6

57

- 7

87

-

835

-

141

-

141

-

160

-

Neg

eri S

embi

lan

Tota

l 2

,175

20

8.52

2,3

39

221.

46 2

,580

24

1.08

615

58

.97

684

64

.73

767

71

.65

Mel

aka

Publ

ic 1

,224

-

1

,353

-

1

,468

-

645

-

558

-

737

-

Mel

aka

Priv

ate

483

-

7

67

- 8

05

- 5

7 -

94

- 1

21

- M

elak

aTo

tal

1,7

07

204.

92 2

,120

25

1.63

2,2

73

266.

66 7

02

84.2

7 6

52

77.3

9 8

58

100.

66Jo

hor

Publ

ic 4

,526

-

4,4

29

- 4

,703

-

1,3

74

- 1

,409

-

1,7

18

- Jo

hor

Priv

ate

1,0

76

- 1

,371

-

1,5

59

- 2

70

- 2

76

- 3

09

-

Joho

rTo

tal

5,6

02

164.

67 5

,800

16

8.64

6,2

62

180.

08 1

,644

48

.33

1,6

85

48.9

8 2

,027

58

.30

Paha

ngPu

blic

2,3

38

- 2

,898

-

2

,995

-

985

-

767

-

937

-

Paha

ngPr

ivat

e 2

56

- 3

02

-

339

-

53

- 5

1 -

68

- Pa

hang

Tota

l 2

,594

17

0.12

3,2

00

206.

66 3

,334

21

1.99

1,0

38

68.0

7 8

18

52.8

3 1

,005

63

.90

Tere

ngga

nuPu

blic

1,9

85

- 1

,746

-

1,8

17

- 8

85

- 8

01

-

907

-

Te

reng

ganu

Priv

ate

35

- 4

5 -

48

- 1

-

3

-

7

-

Tere

ngga

nuTo

tal

2,0

20

188.

08 1

,791

16

3.88

1,8

65

167.

64 8

86

82.5

0 8

04

73.5

7 9

14

82.1

6Ke

lant

anPu

blic

3,0

44

- 3

,176

-

3,4

82

- 1

,161

-

1,1

94

- 1

,310

-

Ke

lant

anPr

ivat

e 1

78

- 1

88

- 1

98

- 4

3 -

38

- 5

6 -

Ke

lant

anTo

tal

3,2

22

199.

48 3

,364

20

5.07

3,6

80

220.

90 1

,204

74

.54

1,2

32

75.1

0 1

,366

82

.00

Sara

wak

Publ

ic 2

,834

-

3,2

73

- 3

,984

-

1,1

22

- 1

,206

-

1,4

84

- Sa

raw

akPr

ivat

e 4

83

- 4

00

- 5

02

- 8

4 -

55

- 8

2 -

Sara

wak

Tota

l 3

,317

13

1.84

3,6

73

144.

28 4

,486

17

4.17

1,2

06

47.9

3 1

,261

49

.52

1,5

66

60.8

1Sa

bah

Publ

ic 4

,289

-

5,4

21

- 5

,760

-

1,5

09

-

1,2

60

- 1

,367

-

Saba

hPr

ivat

e 1

51

-

202

-

204

-

26

-

28

- 4

2 -

Saba

hTo

tal

4,4

40

133.

88 5

,623

16

6.77

5,9

64

173.

96 1

,535

46

.29

1,2

88

38.1

9 1

,409

41

.10

WP

Labu

anPu

blic

116

-

116

-

120

-

53

-

54

- 5

8 -

WP

Labu

anPr

ivat

e n

a -

na

- n

a -

na

- n

a -

na

-W

P La

buan

Tota

l 1

16

129.

18 1

16

126.

64 1

20

128.

62 5

3 59

.02

54

58.9

5 5

8 62

.17

Saba

h &

WP

Labu

anPu

blic

4,4

05

-

5,5

37

-

5,8

80

- 1

,562

-

1

,314

-

1,4

25

- Sa

bah

& W

P La

buan

Priv

ate

151

-

202

-

204

-

26

-

28

-

42

- Sa

bah

& W

P La

buan

Tota

l 4

,556

13

3.76

5,7

39

165.

71 6

,084

17

2.76

1,5

88

46.6

2 1

,342

38

.73

1,4

67

41.6

6

Abb

revi

atio

n: -

not

ava

ilabl

e; n

a -

not a

pplic

able

Sela

ngor

& W

P Pu

traj

aya

& W

PKL

are

also

col

lect

ivel

y re

ferr

ed to

as

Kla

ng V

alle

y.

*

Publ

ic s

ecto

r in

201

1 re

fers

to M

OH

and

Uni

vers

ity h

ospi

tals

, whi

le p

ublic

sec

tor

in 2

012

& 2

013

refe

rs to

MO

H, U

nive

rsity

, and

MO

D h

ospi

tals

.

Fo

r po

pula

tion

data

, ple

ase

refe

r App

endi

x 3:

Tab

le A

3.1

94


Tabl

e 4.

3: N

umbe

r &

Den

sity

of T

otal

Ass

ista

nt M

edic

al O

ffice

rs (

AM

O)

and

Ass

ista

nt M

edic

al O

ffice

rs w

ith

Post

-bas

ic T

rain

ing

in A

cute

Cur

ativ

e H

ospi

tals

in

Mal

aysi

a by

Sta

te &

Sec

tor,

2011

-201

3

Stat

eSe

ctor

*

Tota

l AM

OTo

tal A

MO

wit

h Po

st B

asic

Tra

inin

g

2011

2012

2013

2011

2012

2013

Number

Per 100,000

population

Number

Per 100,000

population

Number

Per 100,000

population

Number

Per 100,000

population

Number

Per 100,000

population

Number

Per 100,000

population

Mal

aysi

aPu

blic

6,0

01

- 6

,241

-

6,4

88

- 2

,453

-

2,5

04

- 2

,680

-

Mal

aysi

aPr

ivat

e 6

5-

70

- 8

0 -

18

- 18

- 1

4 -

Mal

aysi

aTo

tal

6,06

620

.94

6,3

11

21.5

1 6

,568

22

.10

2,4

71

8.53

2,52

28.

59 2

,694

9.

07Pe

rlis

Publ

ic 1

00

- 1

06

- 1

01

- 5

3 -

45

- 4

9 -

Perl

isPr

ivat

e n

a -

na

- n

a -

na

- n

a -

na

-Pe

rlis

Tota

l 1

00

42.1

1 1

06

44.2

8 1

01

41.8

4 5

3 22

.32

45

18.8

0 4

9 20

.30

Keda

hPu

blic

434

-

447

-

449

-

162

-

186

-

192

-

Keda

hPr

ivat

e 3

-

2

- 3

-

1

- 1

-

1

- Ke

dah

Tota

l 4

37

22.1

5 4

49

22.4

9 4

52

22.3

6 1

63

8.26

187

9.

36 1

93

9.55

Keda

h &

Per

lisPu

blic

534

-

553

-

550

-

215

-

231

-

241

-

Keda

h &

Per

lisPr

ivat

e 3

-

2

- 3

-

1

- 1

-

1

- Ke

dah

& P

erlis

Tota

l 5

37

24.2

9 5

55

24.8

2 5

53

24.4

4 2

16

9.77

232

10

.37

242

10

.70

Pula

u Pi

nang

Publ

ic 3

79

- 4

21

- 4

16

- 1

38

- 1

19

- 1

31

- Pu

lau

Pina

ngPr

ivat

e 3

-

5

- 9

-

1

- 1

-

1

-Pu

lau

Pina

ngTo

tal

382

23

.97

426

26

.44

425

26

.10

139

8.

72 1

20

7.45

132

8.

11Pe

rak

Publ

ic 5

17

- 5

49

- 5

55

- 2

42

- 2

81

- 2

73

-Pe

rak

Priv

ate

0-

0-

0-

0-

0-

0 -

Pera

kTo

tal

517

21

.56

549

22

.72

555

22

.78

242

10

.09

281

11

.63

273

11

.21

Sela

ngor

Publ

ic 7

04

- 7

39

- 7

15

- 1

99

- 2

56

- 2

99

- Se

lang

orPr

ivat

e 1

9 -

16

- 3

3 -

2

- 0

- 2

-

Sela

ngor

Tota

l 7

23

12.9

7 7

55

13.3

6 7

48

13.0

7 2

01

3.60

256

4.

53 3

01

5.26

WP

Putr

ajay

aPu

blic

54

- 5

7 -

69

- 1

5 -

27

- 3

3 -

WP

Putr

ajay

aPr

ivat

e n

a -

na

- n

a -

na

- n

a -

na

-W

P Pu

traj

aya

Tota

l 5

4 70

.68

57

71.7

9 6

9 83

.64

15

19.6

3 2

7 34

.01

33

40.0

0W

P Ku

ala

Lum

pur

Publ

ic 3

83

- 4

91

- 5

40

- 1

52

- 2

06

- 2

25

- W

P Ku

ala

Lum

pur

Priv

ate

12

- 9

-

8

- 1

-

6

- 2

-

WP

Kual

a Lu

mpu

rTo

tal

395

23

.29

500

29

.18

548

31

.63

153

9.

05 2

12

12.3

5 2

27

13.1

1Se

lang

or &

WP

Putr

ajay

a &

WP

Kual

a Lu

mpu

rPu

blic

1,1

41

- 1

,287

-

1,3

24

- 3

66

- 4

89

- 5

57

- Se

lang

or &

WP

Putr

ajay

a &

WP

Kual

a Lu

mpu

rPr

ivat

e 3

1 -

25

- 4

1 -

3

- 6

-

4-

Sela

ngor

& W

P Pu

traj

aya

& W

P Ku

ala

Lum

pur

Tota

l 1

,172

15

.95

1,3

12

17.6

3 1

,365

18

.11

369

5.

03 4

95

6.64

561

7.

45

Abb

revi

atio

n: -

not

ava

ilabl

e; n

a -

not a

pplic

able

Sela

ngor

& W

P Pu

traj

aya

& W

PKL

are

also

col

lect

ivel

y re

ferr

ed to

as

Kla

ng V

alle

y.

*

Publ

ic s

ecto

r in

201

1 re

fers

to M

OH

and

Uni

vers

ity h

ospi

tals

, whi

le p

ublic

sec

tor

in 2

012

& 2

013

refe

rs to

MO

H, U

nive

rsity

, and

MO

D h

ospi

tals

.

Fo

r po

pula

tion

data

, ple

ase

refe

r App

endi

x 3:

Tab

le A

3.1

95

CHAP

TER

4: H

OSPI

TAL

HEAL

TH W

ORKF

ORCE


Tabl

e 4.

3 [c

onti

nued

]: N

umbe

r &

Den

sity

of T

otal

Ass

ista

nt M

edic

al O

ffice

rs (

AM

O)

and

Ass

ista

nt M

edic

al O

ffice

rs w

ith

Post

-bas

ic T

rain

ing

in A

cute

Cur

ativ

e H

ospi

tals

in M

alay

sia

by S

tate

& S

ecto

r, 20

11-2

013

Stat

eSe

ctor

*

Tota

l AM

OTo

tal A

MO

wit

h Po

st B

asic

Tra

inin

g20

1120

1220

1320

1120

1220

13

Number


Number


Number


Number


Number


Number


Neg

eri S

embi

lan

Publ

ic 2

50

- 2

83

- 2

69

- 8

8 -

75

- 8

5 -

Neg

eri S

embi

lan

Priv

ate

5

- 9

-

14

- 2

-

5

- 5

-

Neg

eri S

embi

lan

Tota

l 2

55

24.4

2 2

92

27.6

0 2

83

26.4

2 9

0 8.

63 8

0 7.

55 9

0 8.

39M

elak

aPu

blic

251

-

230

-

246

-

141

-

103

-

116

-

Mel

aka

Priv

ate

4

- 3

-

4

- 1

-

0 -

0-

Mel

aka

Tota

l 2

55

30.6

1 2

33

27.6

6 2

50

29.3

3 1

42

17.0

5 1

03

12.2

3 1

16

13.6

1Jo

hor

Publ

ic 5

38

- 5

64

- 5

91

- 2

22

- 2

42

- 2

63

- Jo

hor

Priv

ate

3

- 1

5 -

4

- 3

-

2

- 2

-

Joho

rTo

tal

541

15

.89

579

16

.83

595

17

.11

225

6.

61 2

44

7.09

265

7.

62Pa

hang

Publ

ic 4

43

- 3

98

- 4

10

- 1

52

- 1

49

- 1

61

- Pa

hang

Priv

ate

2

- 1

-

2

- 0

-0

- 1

-

Paha

ngTo

tal

445

29

.18

399

25

.77

412

26

.20

152

9.

97 1

49

9.62

162

10

.30

Tere

ngga

nuPu

blic

240

-

250

-

266

-

117

-

101

-

107

-

Tere

ngga

nuPr

ivat

e0

- 0

- 0

- 0

- 0

-0

- Te

reng

ganu

Tota

l 2

40

22.3

5 2

50

22.8

7 2

66

23.9

1 1

17

10.8

9 1

01

9.24

107

9.

62Ke

lant

anPu

blic

342

-

370

-

377

-

153

-

164

-

169

-

Kela

ntan

Priv

ate

1

- 2

-

2

- -

-

-

- -

-

Kela

ntan

Tota

l 3

43

21.2

4 3

72

22.6

8 3

79

22.7

5 1

53

9.47

164

10

.00

169

10

.14

Sara

wak

Publ

ic 6

46

- 5

96

- 6

48

- 2

85

- 2

90

- 3

15

- Sa

raw

akPr

ivat

e 1

3 -

8

- 1

-

7

- 3

-

-

- Sa

raw

akTo

tal

659

26

.19

604

23

.73

649

25

.21

292

11

.60

293

11

.50

315

12

.23

Saba

hPu

blic

697

-

716

-

812

-

323

-

253

-

255

-

Saba

hPr

ivat

e0

-0

- 0

- 0

- 0

- 0

- Sa

bah

Tota

l 6

97

21.0

2 7

16

21.2

4 8

12

23.6

9 3

23

9.74

253

7.

50 2

55

7.44

WP

Labu

anPu

blic

23

- 2

4 -

24

- 1

1 -

7

- 7

-

WP

Labu

anPr

ivat

e n

a -

na

- n

a -

na

- n

a -

na

-W

P La

buan

Tota

l 2

3 25

.61

24

26.2

0 2

4 25

.72

11

12.2

5 7

7.

64 7

7.

50Sa

bah

& W

P La

buan

Publ

ic 7

20

- 7

40

- 8

36

- 3

34

- 2

60

- 2

62

- Sa

bah

& W

P La

buan

Priv

ate

0-

0-

0-

0-

0-

0-

Saba

h &

WP

Labu

anTo

tal

720

21

.14

740

21

.37

836

23

.74

334

9.

81 2

60

7.51

262

7.

44

Abb

revi

atio

n: -

not

ava

ilabl

e; n

a -

not a

pplic

able

Sela

ngor

& W

P Pu

traj

aya

& W

PKL

are

also

col

lect

ivel

y re

ferr

ed to

as

Kla

ng V

alle

y.

*

Publ

ic s

ecto

r in

201

1 re

fers

to M

OH

and

Uni

vers

ity h

ospi

tals

, whi

le p

ublic

sec

tor

in 2

012

& 2

013

refe

rs to

MO

H, U

nive

rsity

, and

MO

D h

ospi

tals

.

For

popu

latio

n da

ta, p

leas

e re

fer A

ppen

dix

3: T

able

A3.

1

96


Tabl

e 4.

4 : N

umbe

r &

Den

sity

of T

otal

Rad

iogr

aphe

rs, a

nd N

umbe

r of

Rad

iogr

aphe

rs w

ith

Post

-bas

ic T

rain

ing

in M

amm

ogra

phy

/ C

ompu

ter T

omog

raph

y (C

T) in

Acu

te

Cur

ativ

e H

ospi

tals

in M

alay

sia

by S

tate

& S

ecto

r, 20

12-2

013

Stat

eSe

ctor

*

Tota

l Rad

iogr

aphe

rTo

tal R

adio

grap

her

wit

h Po

st B

asic

Tr

aini

ng in

Mam

mog

raph

yTo

tal R

adio

grap

her

wit

h Po

st B

asic

Tr

aini

ng in

Com

pute

r Tom

ogra

phy

(CT)

2012

2013

2012

2013

2012

2013

Num

ber

Per

10

0,00

0 N

umbe

r P

er

100,

000

Num

ber

Num

ber

Num

ber

Num

ber

Mal

aysi

aPu

blic

2,3

51

-

2,4

19

- 24

3112

012

8M

alay

sia

Priv

ate

736

-

839

-

- -

- -

Mal

aysi

aTo

tal

3,0

87

10.5

2 3

,258

10

.96

- -

- -

Perl

isPu

blic

30

- 3

0 -

0

07

7Pe

rlis

Priv

ate

na

na

na

na

na

na

na

na

Perl

isTo

tal

30

12.5

3 3

0 12

.43

- -

- -

Keda

hPu

blic

132

-

134

-

0

11

2Ke

dah

Priv

ate

21

- 3

0 -

- -

- -

Keda

hTo

tal

153

7.

66 1

64

8.11

- -

- -

Keda

h &

Per

lisPu

blic

162

-

1

64

-

01

89

Keda

h &

Per

lisPr

ivat

e 2

1 -

3

0 -

- -

-

- Ke

dah

& P

erlis

Tota

l 1

83

8.18

194

8.

57-

-

- -

Pula

u Pi

nang

Publ

ic 1

45

- 1

33

-3

310

9Pu

lau

Pina

ngPr

ivat

e 9

9 -

116

-

-

- -

- Pu

lau

Pina

ngTo

tal

244

15

.17

249

15

.27

- -

- -

Pera

kPu

blic

169

-

172

-

00

23

Pera

kPr

ivat

e 4

5 -

5

1 -

- -

--

Pera

kTo

tal

214

8.

86 2

23

9.15

- -

-

- Se

lang

orPu

blic

255

-

255

-

36

2019

Sela

ngor

Priv

ate

187

-

205

-

-

-

--

Sela

ngor

Tota

l 4

42

7.83

460

8.

03-

-

--

WP

Putr

ajay

aPu

blic

27

-

60

-

01

04

WP

Putr

ajay

aPr

ivat

e n

a n

a n

a n

a n

a n

a n

a n

a W

P Pu

traj

aya

Tota

l 2

7 34

.01

60

72.7

3-

--

- W

P Ku

ala

Lum

pur

Publ

ic 4

37

-

442

-

4

625

24W

P Ku

ala

Lum

pur

Priv

ate

176

-

1

94

- -

-

-

- W

P Ku

ala

Lum

pur

Tota

l 6

13

35.8

0 6

36

36.7

1 -

- -

- Se

lang

or &

WP

Putr

ajay

a &

WP

Kual

a Lu

mpu

rPu

blic

719

-

757

-

713

4547

Sela

ngor

& W

P Pu

traj

aya

& W

P Ku

ala

Lum

pur

Priv

ate

364

-

399

-

- -

-

Se

lang

or &

WP

Putr

ajay

a &

WP

Kual

a Lu

mpu

rTo

tal

1,0

83

14.5

5 1

,156

15

.33

- -

-

-

Abb

revi

atio

n: -

not

ava

ilabl

e; n

a -

not a

pplic

able

Sela

ngor

& W

P Pu

traj

aya

& W

PKL

are

also

col

lect

ivel

y re

ferr

ed to

as

Kla

ng V

alle

y.

*

Publ

ic s

ecto

r in

201

1 re

fers

to M

OH

and

Uni

vers

ity h

ospi

tals

, whi

le p

ublic

sec

tor

in 2

012

& 2

013

refe

rs to

MO

H, U

nive

rsity

, and

MO

D h

ospi

tals

.

Fo

r po

pula

tion

data

, ple

ase

refe

r App

endi

x 3:

Tab

le A

3.1

97

CHAP

TER

4: H

OSPI

TAL

HEAL

TH W

ORKF

ORCE


Tabl

e 4.

4 [c

onti

nued

]: N

umbe

r &

Den

sity

of T

otal

Rad

iogr

aphe

rs, a

nd N

umbe

r of

Rad

iogr

aphe

rs w

ith

Post

-bas

ic T

rain

ing

in M

amm

ogra

phy

/ C

ompu

ter T

omog

raph

y (C

T) in

Acu

te C

urat

ive

Hos

pita

ls in

Mal

aysi

a by

Sta

te &

Sec

tor,

2012

-201

3

Stat

eSe

ctor

Se

ctor

*

Tota

l Rad

iogr

aphe

rTo

tal R

adio

grap

her

wit

h Po

st B

asic

Tr

aini

ng in

Mam

mog

raph

yTo

tal R

adio

grap

her

wit

h Po

st B

asic

Tr

aini

ng in

Com

pute

r Tom

ogra

phy

(CT)

2012

2013

2012

2013

2012

2013

Num

ber

Per

10

0,00

0 N

umbe

r P

er

100,

000

Num

ber

Num

ber

Num

ber

Num

ber

Neg

eri S

embi

lan

Publ

ic 8

9 -

88

- 2

23

3N

eger

i Sem

bila

nPr

ivat

e 3

6 -

3

6 -

- -

- -

Neg

eri S

embi

lan

Tota

l 1

25

11.8

6 1

24

11.6

1-

- -

-

Mel

aka

Publ

ic 5

5 -

5

7 -

11

22

Mel

aka

Priv

ate

34

-

42

- -

- -

M

elak

aTo

tal

89

10.5

6 9

9 11

.61

- -

-

-

Joho

rPu

blic

263

-

259

-

3

33

5Jo

hor

Priv

ate

60

- 7

7 -

-

- -

-

Joho

rTo

tal

323

9.

38 3

36

9.67

- -

--

Paha

ngPu

blic

116

-

120

-

2

27

7Pa

hang

Priv

ate

18

- 1

9 -

-

- -

- Pa

hang

Tota

l 1

34

8.65

139

8.

84 -

-

--

Tere

ngga

nuPu

blic

83

- 8

6 -

11

1212

Tere

ngga

nuPr

ivat

e 2

-

3

-

-

-

--

Tere

ngga

nuTo

tal

85

7.78

89

8.00

-

-

--

Kela

ntan

Publ

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Appendices


100

APPENDIX 1 | DEFINITION OF NHEWS (HOSPITAL) TERMINOLOGYAcute Curative Care

Comprises health care contacts during which the principal intent is to relieve symptoms of illness or injury, to reduce the severity of an illness or injury, or to protect against exacerbation and/or complication of an illness that could threaten life or normal function. Other functions of care such as rehabilitative care, long-term care and palliative care are excluded. (OECD Health Statistics 2014)

Hospital

An institution that primarily provides inpatient services (diagnostic and therapeutic); catering for a variety of medical conditions- both surgical and non surgical.

Non-Specialist Hospital

A hospital without permanent or resident specialists that provides services including medicine and surgery to meet the general medical and surgical needs of the community.

Specialist Hospital

A hospital with permanent or resident specialists that provides services including medicine, surgery, and other specialty services to meet the medical and surgical needs of the community.

Hospital with Tertiary Services

A hospital with more than 20 resident specialties or subspecialties services.

Hospital with Secondary Services

A hospital that provides up to 20 resident specialties or subspecialties services.

Special Institutions

A hospital that provides only specific resident specialty service(s).

Maternity Centre

A hospital that is used or intended to be used for the provision of obstetric and/ or gynaecological care that extends beyond care in a normal pregnancy/ labour/ post-partum period/ normal newborns, and may offer the conduct of deliveries besides spontaneous vertex deliveries.

Name of Establishment

A name by which the establishment is identified; as approved or licensed by the Ministry of Health Malaysia (Medical Practice Division - CKAPS).

Address

A location where the establishment operates; as approved or licensed by the Ministry of Health Malaysia (Medical Practice Division - CKAPS). The location information includes postcode, city/town, district, and state.

New Establishment

A hospital that was established in either 2012 or 2013 (the survey years for the latest NHEWS- Hospital survey). The survey recorded the date (in month and year) during which the establishment began operating.


101

Gazetted Inpatient Beds

Hospital beds that can be used for patients admitted for diagnostic and/or therapeutic purposes. Both occupied and vacant beds on any given day are counted.

Include:

• Cots/bassinets set aside for babies requiring special care at Special Care Nursery (SCN), and Neonatal Intensive Care Unit (NICU).

Exclude:

• Beds in treatment rooms

• Beds in examining rooms

• Beds in emergency rooms

• Beds in physical/occupational therapy departments

• Beds in labour rooms

• Beds in observation or recovery rooms

• Cots/bassinets for normal newborns in obstetric (postnatal) wards

Gazetted Functioning Inpatient Beds

Hospital beds that are readily available to take in patients and provide care according to the manpower and equipments available for that bed. Exclude beds in the ward(s) that are gazetted, but not used or are yet to be used for actual service.

Non-gazetted Functioning Inpatient Beds

Additional non-gazetted (non-official) beds to take in patients and provide care when needed.

Inpatient Admission

The formal acceptance by a hospital of a patient who will occupy a hospital bed, cot or bassinet for observation, care, diagnosis or treatment, and will have a medical record maintained for him/her. Day case admission is excluded.

Total Length of Stay (TLOS) (in days)

The sum of number of days each inpatient stayed for the duration of a particular year (for all diagnoses/admissions of that particular year)

Average Length of Stay (ALOS) (in days)

The average number of days that inpatients (excluding newborns) remained in the hospital.

ALOS = Sum of length of stay of discharged patients for a given

period

Total number of discharged patients in the same period

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Bed Occupancy Rate (BOR) (%)

• The percentage of inpatient beds (that are set up, staffed and available for care) being occupied for a given period of time. Also known as the percentage of occupancy.

BOR =Inpatient days of care x 100

Bed days available

where:

• Inpatient days of care refers to the sum of each daily inpatient census for the given period.

• Bed days available refers to the maximum number of inpatient days of care that would have been provided if all beds were filled during the given period, and takes into account changes in the number of beds available for use during the same period.

For example:

Hospital Z had 300 beds from July 1st to February 28th. The number of beds providing services was increased to 350 beds from March 1st to June 30th.

The bed days available is calculated as:

• 300 beds x 243 days = 72,900 (July 1st to February 28th)

• 350 beds x 122 days = 42,700 (March 1st to June 30th)

• Total bed days available = 72,900 + 42,700 = 115,600

Turnover Interval (TOI) (in days)

Average period in days that an available bed remains empty between the discharge of one inpatient and the admission of the next.

TOI =Total number of inpatient beds x 365.25

– ALOSTotal number of inpatient admissions

Emergency Department Visits

All red, yellow & green zone visits to a hospital emergency department.

General Outpatient Department (OPD) Visits

All general OPD visits; only applicable to hospitals with a dedicated general outpatient department.

Specialist Outpatient Clinic Visits

The sum of all outpatient visits to all specialist clinics in a hospital; excluding emergency department & general OPD visits


103

Mammogram Machine

Equipment that functions to perform mammography (either analogue or digital)

Total Mammograms

Total number of mammography (both screening and diagnostic) performed for the particular year.

Total Screening Mammograms

The number of mammography performed for screening purpose only.

Medical Doctor

A fully registered medical practitioner with the Malaysian Medical Council. This may refer to a clinical specialist or a medical officer, but not a house officer.

Specialist

A registered medical practitioner who holds a postgraduate qualification recognised by both the Ministry of Health and the Public Service Department Malaysia; and has the necessary core clinical competence and core procedural skills as expected of doctors with the responding recognised postgraduate qualification.

Permanent / Resident Doctor

An in-house medical practitioner (specialist/medical officer) who is available to diagnose and treat patients in a hospital, and he/she is a permanent staff of the hospital.

Visiting Doctor

A medical practitioner (specialist/medical officer) who is available to diagnose and treat patients in a hospital, but he/she is not a permanent staff of the hospital. Such medical practitioner may make regular visits (e.g. monthly/biweekly/weekly etc) to see patients in the hospital or is accessible on an ad-hoc or emergency basis only.

Nurse

A registered nurse with the Malaysian Nursing Board who holds a degree/diploma qualification.

Nurse with Post-basic Training

A registered nurse with the Malaysian Nursing Board who holds a degree/diploma qualification, and has post-basic training.

Assistant Medical Officer

A registered assistant medical officer with the Malaysian Medical Assistant Board.

Assistant Medical Officer with Post-basic Training

A registered assistant medical officer with the Malaysian Medical Assistant Board who has post basic training.

Radiographer

A radiographer with a recognised degree/diploma qualification.

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Post-basic Training

Formal and accredited training aimed at enhancing competency of healthcare professionals. Upon completion, one is awarded with a certification and recognition in providing high quality specialised care in the trained discipline. On-the-job training does not fulfil this definition hence excluded.

Radiographer with Post-basic Training in Mammography

A radiographer with a recognised degree/diploma qualification, and has post-basic training in mammography.

Radiographer with Post-basic Training in Computer Tomography (CT) Scan

A radiographer with a recognised degree/diploma qualification, and has post-basic training in CT Scan.


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APPENDIX 2.1 | PARTICIPANTS FOR NHEWS (HOSPITAL) 2012HOSPITAL SECTOR: PUBLIC/ MINISTRY OF HEALTH

Perlis

1. Hospital Tuanku Fauziah, Kangar

Wilayah Persekutuan Putrajaya

1. Hospital Putrajaya

Wilayah Persekutuan Labuan

1 Hospital Labuan

Wilayah Persekutuan Kuala Lumpur

1. Institut Perubatan Respiratori 3. Hospital Kuala Lumpur

2. Hospital Rehabilitasi Cheras

Melaka

1. Hospital Jasin 3. Hospital Melaka

2. Hospital Alor Gajah

Pulau Pinang

1. Hospital Balik Pulau 4. Hospital Pulau Pinang

2. Hospital Bukit Mertajam 5. Hospital Seberang Jaya

3. Hospital Kepala Batas 6. Hospital Sungai Bakap

Negeri Sembilan

1. Hospital Jelebu 4. Hospital Tampin

2. Hospital Jempol 5. Hospital Tuanku Jaafar, Seremban

3. Hospital Port Dickson 6. Hospital Tuanku Ampuan Najihah, Kuala Pilah

Terengganu

1. Hospital Besut 4. Hospital Kemaman

2. Hospital Dungun 5. Hospital Setiu

3. Hospital Hulu Terengganu 6. Hospital Sultanah Nur Zahirah, Kuala Terengganu

Kelantan

1. Hospital Gua Musang 6. Hospital Raja Perempuan Zainab II, Kota Bharu

2. Hospital Jeli 7. Hospital Tanah Merah

3. Hospital Kuala Krai 8. Hospital Tengku Anis, Pasir Puteh

4. Hospital Machang 9. Hospital Tumpat

5. Hospital Pasir Mas

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Kedah

1. Hospital Langkawi 6. Hospital Sik

2. Hospital Jitra 7. Hospital Sultan Abdul Halim, Sungai Petani

3. Hospital Kuala Nerang 8. Hospital Sultanah Bahiyah, Alor Setar

4. Hospital Kulim 9. Hospital Yan

5. Hospital Baling

Selangor

1. Hospital Ampang 7. Hospital Serdang

2. Hospital Banting 8. Hospital Sungai Buloh

3. Hospital Kuala Kubu Bharu 9. Hospital Tanjong Karang

4. Hospital Selayang 10. Hospital Kajang

5. Hospital Tengku Ampuan Jemaah, Sabak Bernam

11. Hospital Orang Asli Gombak

6. Hospital Tengku Ampuan Rahimah, Klang

Pahang

1. Hospital Bentong 6. Hospital Pekan

2. Hospital Jengka 7. Hospital Raub

3. Hospital Jerantut 8. Hospital Sultan Haji Ahmad Shah, Temerloh

4. Hospital Kuala Lipis 9. Hospital Tengku Ampuan Afzan, Kuantan

5. Hospital Sultanah Hajjah Kalsom, Tanah Rata Cameron Highlands

10. Hospital Muadzam Shah, Rompin

Johor

1. Hospital Sultanah Nora Ismail, Batu Pahat 7. Hospital Sultanah Aminah, Johor Bahru

2. Hospital Kluang(Hospital Enche’ Besar Hajjah Khalsom)

8. Hospital Pakar Sultanah Fatimah, Muar

3. Hospital Sultan Ismail, Johor Bahru 9. Hospital Kota Tinggi

4. Hospital Mersing 10. Hospital Tangkak

5. Hospital Pontian 11. Hospital Segamat

6. Hospital Temenggung Seri Maharaja Tun Ibrahim, Kulai


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Perak

1. Hospital Batu Gajah 8. Hospital Seri Manjung

2. Hospital Changkat Melintang 9. Hospital Slim River

3. Hospital Gerik 10. Hospital Sungai Siput

4. Hospital Raja Permaisuri Bainun, Ipoh 11. Hospital Taiping

5. Hospital Kampar 12. Hospital Tapah

6. Hospital Kuala Kangsar 13. Hospital Teluk Intan

7. Hospital Parit Buntar 14. Hospital Selama

Sarawak

1. Hospital Daerah Bau 12. Hospital Miri

2. Hospital Betong 13. Hospital Sentosa

3. Hospital Sri Aman 14. Hospital Saratok

4. Hospital Bintulu 15. Hospital Serian

5. Hospital Daro 16. Hospital Sibu

6. Hospital Kanowit 17. Hospital Simunjan

7. Hospital Kapit 18. Hospital Rajah Charles Brooke Memorial

8. Hospital Daerah Lawas 19. Hospital Umum Sarawak

9. Hospital Limbang 20. Hospital Sarikei

10. Hospital Daerah Lundu 21. Hospital Dalat

11. Hospital Marudi

Sabah

1. Hospital Beaufort 13. Hospital Queen Elizabeth, Kota Kinabalu

2. Hospital Beluran 14. Hospital Ranau

3. Hospital Duchess of Kent, Sandakan 15. Hospital Semporna

4. Hospital Keningau 16. Hospital Likas

5. Hospital Kinabatangan 17. Hospital Tambunan

6. Hospital Tenom 18. Hospital Tawau

7. Hospital Kota Marudu 19. Hospital Sipitang

8. Hospital Kudat 20. Hospital Tuaran

9. Hospital Kunak 21. Hospital Pitas

10. Hospital Lahad Datu 22. Hospital Kuala Penyu

11. Hospital Papar 23. Hospital Queen Elizabeth II

12. Hospital Kota Belud

HOSPITAL SECTOR: PUBLIC/ MINISTRY OF HEALTH/ PSYCHIATRIC INSTITUTION

1. Hospital Bahagia, Ulu Kinta, Perak 3. Hospital Permai, Johor

2. Hospital Sentosa, Sarawak 4. Hospital Mesra, Bukit Padang, Sabah

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HOSPITAL SECTOR: PUBLIC/ UNIVERSITY

1. Pusat Perubatan Universiti Kebangsaan Malaysia (PPUKM), WPKL

3. Hospital Universiti Sains Malaysia (HUSM), Kubang Kerian, Kelantan

2. Pusat Perubatan Universiti Malaya (PPUM), WPKL

HOSPITAL SECTOR: PUBLIC/ MINISTRY OF DEFENCE

1. Hospital Angkatan Tentera Darat, Negeri Sembilan

3. Hospital Angkatan Tentera Terendak, Melaka

2. Hospital Angkatan Tentera Kuala Lumpur 4. Hospital Angkatan Tentera Lumut, Perak


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HOSPITAL SECTOR: PRIVATE

Terengganu

1. Kuala Terengganu Specialist Hospital

Kelantan

1. Perdana Specialist Hospital 3. Pusat Perubatan An-Nisa’2. Kota Bharu Medical Centre

Melaka

1. Putra Specialist Hospital (Melaka) 3. Mahkota Medical Centre2. Pantai Hospital, Ayer Keroh 4. Damai Medical and Heart Clinic

Pahang

1. Kuantan Medical Centre 5. Darul Makmur Medical Centre Sdn. Bhd2. Kuantan Specialist Hospital 6. Sethu Medical Centre3. Klinik Pakar Wanita Chan 7. Dr S.T. Chong, Maternity and Surgery4. W. Y. Ko Specialist Maternity and

Gynaecology Centre8. Pusat Rawatan Keluarga MUIP Sdn. Bhd.

Kedah

1. Kedah Medical Centre 5. Metro Specialist Hospital2. INS Specialist Centre 6. Pantai Hospital, Sg. Petani3. Pusat Pakar Amanjaya 7. Chang & Koh Maternity & Fertility

Centre Sdn. Bhd.4. Putra Medical Centre 8. Wisma Pakar Perbidanan & Sakit Puan

Sabah

1. Damai Specialist Hospital (Kota Kinabalu Specialist Hospital Sdn Bhd)

3. Kota Kinabalu Specialist Centre

2. Sabah Medical Centre 4. Tawau Maternity and Specialist Hospital Sdn. Bhd

Sarawak

1. Columbia Asia Hospital-Miri 6. Bintulu Medical Centre

2. Rejang Medical Centre 7. Columbia Asia Hospital-Bintulu

3. Miri City Medical Centre 8. Helen Ngu Women Hospital

4. Timberland Medical Centre 9. Ong Specialist Centre

5. Sibu Specialist Medical Centre

Negeri Sembilan

1. Columbia Asia Hospital Rawatan Lanjutan Seremban

5. Columbia Asia Medical Centre, Seremban

2. N.S. Chinese Maternity Hospital & Medical Centre

6. Seremban Specialist Hospital

3. Senawang Specialist Hospital 7. Mawar Renal Medical Centre

4. NCI Hospital 8. Hospital Bersalin Sukhilmi

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Perak

1. Columbia Asia Taiping Hospital 8. The Perak Chinese Maternity Association(Perak Community Specialist Hospital)

2. Fatimah Hospital 9. Kinta medical Centre Sdn. Bhd.

3. Taiping Medical Centre 10. Pusat Perubatan UNIKL-RCMP

4. KPJ Ipoh Specialist Hospital 11. Pantai Hospital Ipoh

5. Yeak Maternity & Gynae Centre Sdn. Bhd 12. Sri Manjung Specialist Centre Sdn. Bhd.

6. Tan Specialist Maternity Centre Sdn. Bhd. 13. Klinik Bersalin Yasmin

7. Sejati Maternity and Specialist Centre

Pulau Pinang

1. Island Hospital 8. Loh Guan Lye Specialists Centre

2. Pantai Hospital Pulau Pinang 9. Pulau Pinang Adventist Hospital (Adventist Hospital & Clinic Services (M)

3. Lam Wah Ee Hospital 10. KPJ Penang Specialist Hospital

4. Tanjung Medical Centre 11. Gleneagles Penang

5. K.S. Wan & Liow Specialist Maternity Centre Sdn. Bhd

12. Tan & Tan Specialist Maternity Centre

6. Public Specialist Centre

Johor

1. Century Specialist Maternity Sdn Bhd 10. Pantai Hospital Batu Pahat

2. Columbia Asia Hospital - Nusajaya 11. Pelangi Medical Centre Sdn.Bhd

3. Hoo Specialists Maternity & Surgery Sdn Bhd

12. Pusat Pakar Perbidanan & Sakit Puan Raja

4. Hospital Waqaf An-Nur Pasir Gudang 13. Pusat Pakar Sakit Puan dan Perbidanan Khor & Loh Sdn.Bhd

5. JB Specialist Hospital Sdn. Bhd (Formerly known as Hospital Pakar Siow Sdn Bhd)

14. Puteri Specialist Hospital

6. Johor Jaya Maternity Centre Sdn Bhd 15. Specialist Women's Hospital Sdn Bhd

7. Kempas Medical Centre 16. Tan Klinik Pakar Perbidanan

8. Kluang Utama Specialist Hospital 17. Tey Maternity Specialist & Gynae Centre Sdn Bhd

9. KPJ Johor Specialist Hospital


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1. Prince Court Medical Centre 15. Gleneagles Hospital, Kuala Lumpur2. Hospital Pakar KPJ Tawakal (KPJ Tawakal

Specialist Hospital)16. Institut Jantung Negara Sdn Bhd

3. Tung Shin Hospital 17. University Malaya Specialist Centre (UMSC)

4. Lourdes Medical Centre 18. Kuala Lumpur Sports Medicine Centre (KLSMC)

5. Al-Islam Specialist Hospital 19. Hospital Aman (M). Sdn. Bhd.6. Pantai Hospital, Cheras 20. Dato Harnam E.N.T. Specialist Clinic7. Pantai Hospital, Kuala Lumpur 21. Universiti Kebangsaan Malaysia

Specialist Centre (UKMSC)8. Damai Service Hospital (HQ) 22. IHEAL Medical Centre Kuala Lumpur9. Sentosa Medical Centre Sdn. Bhd. 23. Beverly Wilshire Medical Centre10. Pusat Perubatan Naluri Sdn. Bhd 24. Columbia Asia Hospital Setapak11. Taman Desa Medical Centre (TDMC

Hospital Sdn Bhd)25. Coop Medical Centre (Sambhi Clinic

Sdn. Bhd.)12. Cheras Specialist Maternity Centre 26. Roopi Medical centre13. Klinik Pakar Wanita Kepong dan Pusat

Bersalin27. Pudu Specialist Centre

14. Sentul Medical Centre

Selangor1. Az-Zahrah Islamic Medical Centre 19. KPJ Damansara Specialist Hospital2. Columbia Asia Hospital Puchong 20. Sime Darby Medical Centre Subang Jaya3. KPJ Selangor Specialist Hospital 21. Hospital Pakar An-Nur Hasanah Sdn Bhd4. Tun Hussein Onn National Eye Hospital 22. KPJ Ampang Puteri Specialist Hospital5. Pantai Hospital, Ampang 23. Klinik Pakar Wanita & Bersalin Subang

Permai6. Sri Kota Specialist Medical Centre 24. KPJ Kajang Specialist Hospital7. Columbia Asia Hospital – Cheras 25. DEMC Specialist Hospital, Shah Alam8. Columbia Asia Bukit Rimau 26. KPJ Klang Specialist Hospital9. Pusat Perubatan Kohilal Sdn. Bhd. 27. Hospital Sungai Long10. Assunta Hospital 28. Shah Alam Specialist Hospital

(Salam Medical Centre Sdn. Bhd)11. Sime Darby Medical Centre Ara

Damansara29. Beacon International Specialist

(Wijaya International Medical Centre Sdn. Bhd.)

12. QHC Medical Centre 30. UMRA Medical Services Sdn. Bhd13. JMC Specialist Medical Centre

(Klinik Damo & Pusat Bersalin).31. Pusat Bersalin Barakah

14. Hospital Wanita Metro (Klang) 32. Hospital Wanita Metro (Banting)15. Pusat Perubatan Damansara Damai 33. Britannia Women & Children Specialist

Centre16. Hospital Bersalin Razif 34. Pristine Women Medical Centre

(Pusat Pakar dan Bersalin Selayang)17. Lam Surgery & Maternity Home 35. Tropicana Medical Centre (M) Sdn Bhd18. Joe Medical Centre 36. Columbia Asia Extended Care Hospital-

Shah Alam APPE

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APPENDIX 2.2 | PARTICIPANTS FOR NHEWS (HOSPITAL) 2013HOSPITAL SECTOR: PUBLIC/ MINISTRY OF HEALTH

Perlis

1. Hospital Tuanku Fauziah, Kangar

Wilayah Persekutuan Putrajaya

1. Hospital Putrajaya 2. Institut Kanser Negara

Wilayah Persekutuan Labuan

1. Hospital Labuan


1. Institute Perubatan Respiratori 3. Hospital Kuala Lumpur

2. Hospital Rehabilitasi, Cheras

Melaka

1. Hospital Jasin 3. Hospital Melaka

2. Hospital Alor Gajah

Pulau Pinang

1. Hospital Balik Pulau 4. Hospital Pulau Pinang

2. Hospital Bukit Mertajam 5. Hospital Seberang Jaya

3. Hospital Kepala Batas 6. Hospital Sungai Bakap

Negeri Sembilan

1. Hospital Jelebu 4. Hospital Tampin

2. Hospital Jempol 5. Hospital Tuanku Jaafar, Seremban

3. Hospital Port Dickson 6. Hospital Tuanku Ampuan Najihah, Kuala Pilah

Terengganu

1. Hospital Besut 4. Hospital Kemaman

2. Hospital Dungun 5. Hospital Setiu

3. Hospital Hulu Terengganu 6. Hospital Sultanah Nur Zahirah, Kuala Terengganu

Kelantan

1. Hospital Gua Musang 6. Hospital Raja Perempuan Zainab II, Kota Bharu

2. Hospital Jeli 7. Hospital Tanah Merah

3. Hospital Kuala Krai 8. Hospital Tengku Anis, Pasir Puteh

4. Hospital Machang 9. Hospital Tumpat

5. Hospital Pasir Mas


113

Kedah

1. Hospital Langkawi 6. Hospital Sik

2. Hospital Jitra 7. Hospital Sultan Abdul Halim, Sungai Petani

3. Hospital Kuala Nerang 8. Hospital Sultanah Bahiyah, Alor Setar

4. Hospital Kulim 9. Hospital Yan

5. Hospital Baling

Selangor

1. Hospital Ampang 7. Hospital Serdang

2.. Hospital Banting 8. Hospital Sungai Buloh

3. Hospital Kuala Kubu Bharu 9. Hospital Tanjong Karang

4. Hospital Selayang 10. Hospital Kajang

5. Hospital Tengku Ampuan Jemaah, Sabak Bernam

11. Hospital Orang Asli Gombak

6. Hospital Tengku Ampuan Rahimah, Klang

Pahang

1. Hospital Bentong 6. Hospital Pekan

2. Hospital Jengka 7. Hospital Raub

3. Hospital Jerantut 8. Hospital Sultan Haji Ahmad Shah, Temerloh

4. Hospital Kuala Lipis 9. Hospital Tengku Ampuan Afzan, Kuantan

5. Hospital Sultanah Hajjah Kalsom, Tanah Rata Cameron Highlands

10. Hospital Muadzam Shah, Rompin

Johor

1. Hospital Sultanah Nora Ismail, Batu Pahat 7. Hospital Sultanah Aminah, Johor Bahru

2. Hospital Kluang(Hospital Enche’ Besar Hajjah Khalsom)

8. Hospital Pakar Sultanah Fatimah, Muar

3. Hospital Sultan Ismail, Johor Bahru 9. Hospital Kota Tinggi

4. Hospital Mersing 10. Hospital Tangkak

5. Hospital Pontian 11. Hospital Segamat

6. Hospital Temenggung Seri Maharaja Tun Ibrahim, Kulai

Perak

1. Hospital Slim River 7. Hospital Seri Manjung

2. Hospital Changkat Melintang 8. Hospital Sungai Siput

3. Hospital Parit Buntar 9. Hospital Tapah

4. Hospital Raja Permaisuri Bainun, Ipoh 10. Hospital Teluk Intan

5. Hospital Kampar 11. Hospital Selama

6. Hospital Kuala Kangsar APPE

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Sarawak

1. Hospital Daerah Bau 12. Hospital Miri

2. Hospital Betong 13. Hospital Sentosa

3. Hospital Sri Aman 14. Hospital Saratok

4. Hospital Bintulu 15. Hospital Serian

5. Hospital Daro 16. Hospital Sibu

6. Hospital Kanowit 17. Hospital Simunjan

7. Hospital Kapit 18. Hospital Rajah Charles Brooke Memorial

8. Hospital Daerah Lawas 19. Hospital Umum Sarawak

9. Hospital Limbang 20. Hospital Sarikei

10. Hospital Daerah Lundu 21. Hospital Dalat

11. Hospital Marudi

Sabah

1. Hospital Beaufort 13. Hospital Queen Elizabeth, Kota Kinabalu

2. Hospital Beluran 14. Hospital Ranau

3. Hospital Duchess of Kent, Sandakan 15. Hospital Semporna

4. Hospital Keningau 16. Hospital Likas

5. Hospital Kinabatangan 17. Hospital Tambunan

6. Hospital Tenom 18. Hospital Tawau

7. Hospital Kota Marudu 19. Hospital Sipitang

8. Hospital Kudat 20. Hospital Tuaran

9. Hospital Kunak 21. Hospital Pitas

10. Hospital Lahad Datu 22. Hospital Kuala Penyu

11. Hospital Papar 23. Hospital Queen Elizabeth II

12. Hospital Kota Belud

HOSPITAL SECTOR: PUBLIC/ MINISTRY OF HEALTH/ PSYCHIATRIC INSTITUTION

1. Hospital Bahagia, Ulu Kinta, Perak 3. Hospital Permai, Johor

2. Hospital Sentosa, Sarawak 4. Hospital Mesra, Bukit Padang, Sabah

HOSPITAL SECTOR: PUBLIC/ UNIVERSITY

1. Pusat Perubatan Universiti Kebangsaan Malaysia (PPUKM), WPKL

3. Hospital Universiti Sains Malaysia (HUSM), Kubang Kerian, Kelantan

2. Pusat Perubatan Universiti Malaya (PPUM), WPKL

HOSPITAL SECTOR: PUBLIC/ MINISTRY OF DEFENCE

1. Hospital Angkatan Tentera Darat, Negeri Sembilan

4. Hospital Angkatan Tentera Terendak, Melaka

2. Hospital Angkatan Tentera Kuala Lumpur 5. Hospital Angkatan Tentera Lumut, Perak

3. Hospital Angkatan Tentera Kota Kinabalu


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Terengganu

1. Kuala Terengganu Specialist Hospital

Kelantan

1. Perdana Specialist Hospital 3. Pusat Perubatan An-Nisa’

2. Kota Bharu Medical Centre

Melaka

1. Putra Specialist Hospital (Melaka) 3. Mahkota Medical Centre

2. Pantai Hospital, Ayer Keroh 4. Damai Medical and Heart Clinic

Pahang

1. Kuantan Medical Centre 5. Darul Makmur Medical Centre Sdn. Bhd

2. Kuantan Specialist Hospital 6. Sethu Medical Centre

3. Klinik Pakar Wanita Chan 7. Dr S.T. Chong, Maternity and Surgery

4. W. Y. Ko Specialist Maternity and Gynaecology Centre

8. Pusat Rawatan Keluarga MUIP Sdn. Bhd.

Kedah

1. Kedah Medical Centre 5. Metro Specialist Hospital2. INS Specialist Centre 6. Pantai Hospital, Sg. Petani3. Pusat Pakar Amanjaya 7. Chang & Koh Maternity & Fertility

Centre Sdn. Bhd.4. Putra Medical Centre 8. Wisma Pakar Perbidanan & Sakit Puan

Sabah

1. Tawau Maternity and Specialist Hospital 3. Kota Kinabalu Specialist Centre2. Sabah Medical Centre (A Member of KPJ

Healthcare Berhad) SMC Healthcare4. Damai Specialist Hospital (Kota Kinabalu

Specialist Hospital Sdn Bhd)

Sarawak

1. Rejang Medical Centre 6. Columbia Asia Hospital-Miri2. Miri City Medical Centre 7. Helen Ngu Women Hospital3. Sibu Specialist Medical Centre 8. Ong Specialist Centre4. Bintulu Medical Centre 9. Borneo Medical Centre5. Columbia Asia Hospital-Bintulu 10. Timberland Medical Centre

Negeri Sembilan

1. Columbia Asia Hospital Rawatan Lanjutan Seremban

5. Columbia Asia Medical Centre, Seremban

2. Senawang Specialist Hospital 6. Seremban Specialist Hospital3. NCI Hospital 7. Mawar Renal Medical Centre4. Klinik Pakar Wanita dan Rumah Bersalin

Rekha Sdn. Bhd8. Hospital Bersalin Sukhilmi

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Perak

1. Columbia Asia Taiping Hospital 8. Pusat Perubatan UNIKL-RCMP

2. Fatimah Hospital 9. Pantai Hospital Ipoh

3. Taiping Medical Centre 10. Sri Manjung Specialist Centre Sdn. Bhd.

4. KPJ Ipoh Specialist Hospital 11. Klinik Bersalin Yasmin

5. Yeak Maternity & Gynae Centre Sdn. Bhd

12. Tan Specialist Maternity Centre Sdn. Bhd.

6. The Perak Chinese Maternity Association(Perak Community Specialist Hospital)

13. Sejati Maternity and Specialist Centre

7. Kinta medical Centre Sdn. Bhd.

Pulau Pinang

1. Island Hospital 8. Public Specialist Centre

2. Pantai Hospital Pulau Pinang 9. Loh Guan Lye Specialists Centre

3. Lam Wah Ee Hospital 10. Pulau Pinang Adventist Hospital (Adventist Hospital & Clinic Services (M)

4. Tanjung Medical Centre 11. KPJ Penang Specialist Hospital

5. Carl Corrynton Medical Centre 12. Gleneagles Penang

6. Specialist 13. Tan & Tan Specialist Maternity Centre

7. Optimax Eye Specialist Hospital (Penang)

Johor

1. Century Specialist Maternity Sdn Bhd 10. Pantai Hospital Batu Pahat

2. Columbia Asia Hospital - Nusajaya 11. Pasir Gudang Specialist Hospital

3. Hoo Specialists Maternity & Surgery Sdn Bhd

12. Pelangi Medical Centre Sdn.Bhd.

4. Hospital Waqaf An-Nur Pasir Gudang 13. Pusat Pakar Sakit Puan dan Perbidanan Khor & Loh Sdn.Bhd

5. JB Specialist Hospital Sdn. Bhd (Formerly known as Hospital PakarSiow Sdn Bhd)

14. Puteri Specialist Hospital

6. Johor Jaya Maternity Centre Sdn Bhd 15. Specialist Women's Hospital Sdn Bhd

7. Kempas Medical Centre 16. Tan Klinik Pakar Perbidanan

8. Kluang Utama Specialist Hospital 17. Tey Maternity Specialist & Gynae Centre Sdn Bhd

9. KPJ Johor Specialist Hospital


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1. Al-Islam Specialist Hospital 17. Kuala Lumpur Sports Medicine Centre Sdn Bhd (KLSMC)

2. Beverly Wilshire Medical Centre 18. Lourdes Medical Centre

3. Chaudhury Medic-Centre 19. Pantai Hospital Cheras

4. Cheras Specialist Maternity Centre 20. Pantai Hospital Kuala Lumpur

5. Columbia Asia Hospital - Setapak 21. Prince Court Medical Centre

6. Coop Medical Centre (Sambhi Clinic Sdn. Bhd.)

22. Pudu Specialists Centre Sdn Bhd

7. Damai Service Hospital (HQ) Sdn. Bhd. 23. Pusat Perubatan Naluri Sdn. Bhd.

8. Dato Harnam E.N.T. Specialist Clinic Sdn. Bhd

24. Roopi Medical Centre

9. Gleneagles Kuala Lumpur 25. Sentosa Medical Centre Sdn. Bhd.

10. Global Doctors Centre 26. Sentul Medical Centre

11. Hospital Aman (M) Sdn. Bhd. 27. Taman Desa Medical Centre (TDMC Hospital Sdn Bhd)

12. Hospital Pakar KPJ Tawakkal (KPJ Tawakkal Specialist Hospital)

28. Tung Shin Hospital

13. iHEAL Medical Centre Kuala Lumpur 29. UKM Specialist Centre

14. Institut Jantung Negara Sdn Bhd 30. UM Specialist Centre Sdn.Bhd

15. Kencana Maternity Centre Sdn Bhd 31. Parkcity Medical Centre

16. Klinik Pakar Wanita Kepong Dan Pusat Bersalin

Selangor

1. Assunta Hospital 19. KPJ Damansara Specialist Hospital

2. Az-Zahrah Islamic Medical Centre 20. KPJ Kajang Specialist Hospital

3. Beacon International Specialist Centre (Wijaya International Medical Centre Sdn. Bhd)

21. KPJ Klang Specialist Hospital

4. Britannia Women & Children Specialist Centre

22. KPJ Selangor Specialist Hospital

5. Columbia Asia Extended Care Hospital-Shah Alam

23. Pantai Hospital Ampang

6. Columbia Asia Hospital - Cheras 24. Pristine Women Medical Centre (Pusat Pakar Wanita dan Bersalin Selayang)

7. Columbia Asia Hospital Bukit Rimau 25. Pusat Bersalin Barakah

8. Columbia Asia Hospital Puchong 26. Pusat Perubatan Damansara Damai

9. DEMC Specialist Hospital Shah Alam 27. Pusat Perubatan Kohilal Sdn Bhd

10. Hospital Bersalin Razif 28. QHC Medical Centre

11. Hospital Pakar An-Nur Hasanah Sdn Bhd 29. Shah Alam Specialist Hospital (Salam Medical Centre Sdn. Bhd)

12. Hospital Sungai Long 30. Sime Darby Medical Centre Ara Damansara

13. Hospital Wanita Metro (Banting) 31. Sri Kota Specialist Medical Centre

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14. Hospital Wanita Metro (Klang) 32. Subang Jaya Medical Centre Sdn Bhd (formerly known as Sime Darby Medical Centre Subang Jaya)

15. JMC Specialist Medical Centre (Klinik Damo & Pusat Bersalin)

33. Tropicana Medical Centre (M) Sdn Bhd

16. Joe Medical Centre 34. Tun Hussein Onn National Eye Hospital

17. Klinik Pakar Wanita & Bersalin Subang Permai

35. Umra Medical Services Sdn. Bhd

18. KPJ Ampang Puteri Specialist Hospital


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APPENDIX 3 | MALAYSIAN POPULATION 2010-2013

The Malaysian population statistics presented here were obtained from the Department of Statistics Malaysia. This population statistics serve as a reference to density calculations with regards to the NHEWS (Hospital) data being displayed in the main body of this report.

Please note that we feature only relevant population statistics of specific years; to represent their use in the density calculations as mentioned above. As such, some of the following tables may not contain population statistics for all four years (from 2010 to 2013).

Table A3.1 Total Population in Malaysia by State, 2010-2013State 2010 2011 2012 2013

Malaysia 28,334,135 28,964,300 29,336,800 29,714,700

Selangor 5,462,141 5,577,400 5,650,800 5,725,300

Johor 3,348,283 3,401,800 3,439,600 3,477,200

Sabah 3,206,742 3,316,400 3,371,700 3,428,000

Sarawak 2,471,140 2,516,200 2,545,800 2,575,500

Perak 2,352,743 2,397,600 2,416,700 2,436,400

Kedah 1,947,651 1,973,100 1,996,800 2,021,100

WP Kuala Lumpur 1,674,621 1,694,500 1,713,400 1,732,000

Pulau Pinang 1,561,383 1,593,600 1,611,100 1,628,400

Kelantan 1,539,601 1,615,200 1,640,400 1,665,900

Pahang 1,500,817 1,524,800 1,548,400 1,572,700

Terengganu 1,035,977 1,074,000 1,092,900 1,112,500

Negeri Sembilan 1,021,064 1,042,900 1,056,300 1,070,100

Melaka 821,110 833,000 842,500 852,400

Perlis 231,541 237,500 239,400 241,400

WP Labuan 86,908 89,800 91,600 93,300

WP Putrajaya 72,413 76,400 79,400 82,500

Source: Department of Statistics, Malaysia, 2010, 2011, 2012 & 2013Used for density calculations in Chapter 1 (Facilities), Chapter 3 (Activities), and Chapter 4 (Workforce).

Table A3.2 Female Population in Malaysia by State, 2010-2013State 2010 2011 2013

Malaysia 13,771,497 14,052,300 14,436,700

Selangor 1,580,846 1,608,700 2,762,500

Johor 1,198,028 1,213,900 1,647,700

Sabah 1,165,670 1,184,700 1,646,100

Sarawak 962,253 976,100 1,243,100

Perak 822,491 829,600 1,205,400

Kedah 765,903 804,300 1,000,900

WP Kuala Lumpur 704,450 715,400 849,900

Kelantan 507,483 526,100 830,500

Pulau Pinang 492,111 504,300 811,900

Pahang 408,723 413,600 739,700

Terengganu 117,709 120,700 545,600

Negeri Sembilan 42,078 43,500 518,200

Melaka 38,214 40,600 423,500

Perlis 13,771,497 14,052,300 122,500

WP Labuan 1,580,846 1,608,700 45,200

WP Putrajaya 1,198,028 1,213,900 43,800

Source: Department of Statistics, Malaysia, 2010, 2011 & 2013Used for density calculations in Chapter 4 (Workforce- Doctor) only.

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Table A3.3 Female Population (50-69 years old) in Malaysia by State, 2012-2013State 2012 2013

Malaysia 2,019,200 2,100,600

Selangor 336,400 354,200

Johor 242,200 251,800

Perak 220,000 225,900

Sarawak 173,400 179,400

Kedah 160,500 166,300

Sabah 147,200 155,900

Pulau Pinang 137,200 141,700

Kelantan 122,600 126,800

WP Kuala Lumpur 120,000 125,300

Pahang 109,100 113,500

Negeri Sembilan 85,000 88,300

Terengganu 71,100 73,800

Melaka 67,300 69,400

Perlis 20,300 20,600

WP Labuan 4,100 4,300

WP Putrajaya 2,800 3,000

Source: Department of Statistics, Malaysia, 2012 & 2013Used for density calculations in Chapter 2 (Medical Device) only.


Malaysia 3,957,000 4,067,000

Selangor 701,900 731,700

Johor 472,000 485,200

Perak 393,400 397,200

Sarawak 339,700 349,700

Sabah 330,700 346,400

Kedah 303,100 309,000

Pulau Pinang 260,600 267,300


Kelantan 230,400 234,700

Pahang 201,700 206,100


Terengganu 138,100 140,900

Melaka 127,500 129,600

Perlis 37,000 37,000

WP Labuan 9,400 9,800


Source: Department of Statistics, Malaysia, 2012 & 2013Used for density calculations in Chapter 2 (Medical Device) only


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Malaysia 906,900 915,300

Selangor 184,600 191,200

Johor 108,100 109,100

Sabah 93,700 97,000

Sarawak 78,000 79,300

Perak 72,000 70,400

Kedah 63,500 63,400


Pulau Pinang 56,700 57,400

Kelantan 47,300 47,000

Pahang 41,100 41,700



Melaka 26,900 26,100

Perlis 7,000 6,700

WP Labuan 2,700 2,800




Malaysia 816,100 836,900

Selangor 152,300 158,000

Johor 96,000 98,900

Sabah 75,600 78,600

Perak 73,000 73,600

Sarawak 69,100 70,700

Kedah 60,100 61,200



Kelantan 46,900 47,100

Pahang 40,400 40,200



Melaka 25,700 26,600

Perlis 7,300 7,400

WP Labuan 2,300 2,400



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Malaysia 705,600 723,000

Selangor 122,600 127,800

Johor 84,000 85,400

Perak 68,900 69,400

Sarawak 59,700 61,800

Sabah 59,600 62,200

Kedah 54,800 55,500


Kelantan 43,100 43,900


Pahang 38,100 38,800



Melaka 22,200 22,500

Perlis 6,700 6,700

WP Labuan 1,700 1,800




Malaysia 568,100 594,700

Selangor 92,400 97,800

Johor 69,300 72,500

Perak 61,200 62,700

Sarawak 48,700 50,000

Kedah 46,500 48,400

Sabah 41,500 45,100



Kelantan 34,200 36,000

Pahang 30,400 32,000



Melaka 18,600 19,300

Perlis 5,800 5,900

WP Labuan 1,200 1,200

WP Putrajaya 900 1,100



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Malaysia 442,100 456,100

Selangor 74,400 75,400

Johor 53,200 55,300

Perak 52,800 53,500

Sarawak 37,700 39,200

Kedah 35,500 37,100


Sabah 26,600 28,500

Kelantan 26,100 26,800


Pahang 24,400 24,800


Melaka 15,600 15,700


Perlis 4,600 4,700

WP Labuan 700 800

WP Putrajaya 300 300



Malaysia 303,400 326,800

Selangor 47,000 53,200

Perak 37,100 40,300

Johor 35,700 38,600

Sarawak 27,300 28,400

Kedah 23,700 25,300


Sabah 19,500 20,100

Kelantan 19,200 20,100


Pahang 16,200 17,900


Melaka 10,900 11,900


Perlis 3,200 3,300

WP Labuan 500 500



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Malaysia 214,800 214,200

Selangor 28,600 28,300

Perak 28,400 27,300

Johor 25,700 25,400

Sarawak 19,200 20,300

Kedah 19,000 18,100


Sabah 14,200 14,900

Kelantan 13,600 13,800


Pahang 11,100 10,700



Melaka 7,600 7,500

Perlis 2,400 2,300

WP Labuan 300 300



Table A3.12 Paediatric (0-14 years old) Population in Malaysia by State, 2010-2013State 2010 2011 2013

Malaysia 7,827,907 7,784,600 7,741,300

Perlis 1,372,012 1,378,700 1,391,500

Kedah 1,026,161 922,100 932,400

Pulau Pinang 910,413 907,600 893,000

Perak 626,615 631,900 608,100

Selangor 571,559 564,600 551,900

WP Putrajaya 497,464 535,900 529,200

WP Kuala Lumpur 452,801 448,600 449,200

Negeri Sembilan 370,204 371,200 378,700

Melaka 361,081 359,200 354,700

Johor 334,533 349,900 351,000

Pahang 271,214 276,000 274,000

Terengganu 215,670 215,000 211,600

Kelantan 183,393 710,400 697,100

Sarawak 58,435 61,300 61,300

Sabah 25,064 26,600 27,600

WP Labuan 22,354 25,600 29,800

Source: Department of Statistics, Malaysia, 2010, 2011 & 2013Used for density calculations in Chapter 4 (Workforce- Doctor) only.


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Table A3.13 Geriatric (60 years old and above) Population in Malaysia by State, 2010-2013State 2010 2011 2013

Malaysia 2,251,216 2,338,300 2,542,600

Selangor 334,289 347,900 383,900

Perak 280,118 289,100 310,300

Johor 278,028 287,300 311,600

Kedah 184,087 189,700 203,000

Pulau Pinang 159,285 165,900 181,100

Sabah 138,386 150,400 167,700

Kelantan 135,935 140,800 149,300

WP Kuala Lumpur 127,825 132,000 147,000

Pahang 122,719 127,600 138,200

Negeri Sembilan 91,920 96,500 106,600

Melaka 79,422 81,900 87,900

Terengganu 78,058 80,900 87,000

Sarawak 37,844 39,700 236,700

Perlis 25,499 25,900 26,900

WP Labuan 3,483 3,700 4,400

WP Putrajaya 981 1,000 1,200

Source: Department of Statistics, Malaysia, 2010, 2011 & 2013Used for density calculations in Chapter 4 (Workforce-Doctor) only.

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APPENDIX 4 | DATA QUALITY STATEMENT

NHEWS (Hospital) 2012-2013 Quality Statement

Dimension Description

Institutional Environment

Data Collector(s):The data was collected by the Health Statistics Unit (HSU) of the National Clinical Research Centre (CRC) Malaysia.

Collection authority:Under the jurisdiction of the MDD of MOH, public hospitals were directed to participate in this survey and provide access to their available data.

For private healthcare establishments, legal authorities for the collection of such data by the MOH are provided by (where applicable) the Private Healthcare Facilities and Services Act 1998 and Control of Drugs & Cosmetics Regulation 1984. The relevant regulatory authorities in the MOH are the Medical Practice Division, National Pharmaceutical Control Bureau and Medical Device Bureau respectively. They have designated the CRC as their data collection agency.

Data Compiler(s): The data was compiled by the same organisation that collected the data.

Additional information: Statistical confidentiality was maintained by ensuring that the information provided is:- Securely maintained - Used only for statistical purposes- Not inadvertently revealed in any published literature- Used safely as unidentifiable micro-data to support research and analysis

Any identified data error will be notified to the public and data user through an online notice published on the organisation website where the report and data are posted. All effort will be made to ensure any data error is corrected within 5 working days and be re-released. All key data users will be specifically notified through email or telephone.

Relevance Data topic:The data represents all acute curative hospitals of both public and private sectors within Malaysia for 2012 and 2013.

Level of geography:Data is available at national and state level.

Key Data Items: The key data items produced from this collection include the facilities, medical device, activities and health workforce of the identified hospitals for 2012 and 2013.

Numerator/Denominator Source: Numerators and denominators of all the rates, percentages and densities were derived from the same data source and auxiliary sources e.g. population census obtained from the Department of Statistics Malaysia (DOS).

Additional information: Healthcare establishment and workforce data was collected to assist in evidence based health policy planning and projection.

The data is a measure of acute curative healthcare establishment characteristic in terms of facilities, activities, medical device and health workforce.

Key variables have been defined in this survey to assist in data standardisation. However, standard international coding or classification was not used, owing to technical limitation.


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Timeliness Data collection: Data was intended to reflect annual hospital statistics. The current survey collected data for both years at one point of time. However data for each year relates to its own reference period.

Data availability:Data collection took place in January-April 2014. This was followed by data cleaning, validation, verification and analysis between May-August 2014. The report shall be published with approval from the Ministry of Health, by July of the next calendar year.

Reference Period: The data reference period is from 1st-Jan-2012 to 31st-Dec-2012 and from 1st-Jan-2013 to 31st-Dec-2013

Additional information: Updates or revisions of the data may become necessary because new information may become available during the preparation of the report.

Accuracy Method of Collection: The data was collected using either printed or online survey questionnaires. These were distributed to all related healthcare establishments listed under the Ministry of Health and Private Hospital Registry.

Data Adjustments: The data was adjusted to account for item and/or unit non-responses by using imputation (logical, conditional and regressing) and weighting methods.

Logical and conditional imputation based on reasonable assumption was used to replace missing data. Regression imputation was used for the remaining missing data which had a 5% or less missing rate. Despite these efforts, certain variables were found to have a higher missing rate than expected. Caution will be needed when interpreting these estimates due to their inaccuracy. Percentages of missing values and the imputation status for each variable can be found at Appendix 6.

Collection size: All registered acute curative hospitals within the country were included: 345 hospitals in 2012, and 351 hospitals in 2013.

Under and over counts: Undercount and over-count of the survey variables will not be known until a post-enumeration survey is conducted to measure how effective the original survey was.

Additional information: Any sensitive question or topics that may have the potential to cause bias was not collected. Manual data cleaning, review and verification with source personnel, and automated data validation were performed to minimize processing errors. All hospitals in the country fulfilling the inclusion criteria were accounted for in this survey.

Coherence Consistency over time: Similar survey methods have been used for this survey in 2009, 2010, and 2011. However, definition of certain health services and key variables has been revised in the present survey to allow for a more practical and reflective interpretation. These changes may have affected the value of certain variables collected and, any comparisons with previous years must be treated with caution.

Numerator/ denominator: The impact of differences between the criteria for numerators and denominators was minor in most cases. Data produced from this survey is of cross-sectional nature. No time series data was collected.

Additional information: There were no significant changes of the mode of data collection compared to previous years. Further, there was no occurrence of substantial local or regional events that that may have had an impact on the data since the last report.

Coherence Data collected in this survey is broadly comparable to data of similar nature available from the Health Informatics Centre (HIC) of the Ministry of Health. The HIC obtains such data from routine (monthly) data submission by healthcare establishments. However, certain data from our survey and from the HIC may not be directly comparable because of differences in definition as well as in inclusion and exclusion criteria. Furthermore, additional data have been collected in greater detail in this survey in order to answer specific health policy questions. Please refer to the survey questionnaire for more details on the specific survey questions, at our website: www.crc.gov.my/nhsi/survey-form.

Besides the routine monthly data collected by the HIC, no other similar information or data source are available at the national level.

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Interpretability Context:Due to the alterations of certain important definitions in this report, any increasing or decreasing pattern of variable being reported may not reflect the actual situation. Specific issues related to this area have been discussed in the write-up of relevant survey chapters.

Other supporting information: Please refer to the data definition, study methodology, and discussion of limitation of each chapter for further insight.

Accessibility Contact details:Healthcare Statistics UnitClinical Research Centre3rd Floor, MMA House124 Jalan Pahang53000 Kuala LumpurMalaysia.Phone: +603-4043 9300Fax: +603- 4043 9500Email: [email protected]: http://www.crc.gov.my/nhsi

Additional information: Custom analysis of anonymised data is available (in spreadsheet format) upon request.

A printed copy of the report will be mailed to all related hospital administrators upon publication.Electronic copy of the report can be downloaded at http://www.crc.gov.my/nhsi

In addition, the aforementioned website also has a feature of data visualisation whereby online charting of the data is presented.

Should it be required, the NHSI team can provide training on analysing and interpreting NHSI data.

For further information please contact:

Name: Health Statistics Unit

Telephone Number:

+603-40439300

Email Address: [email protected]


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APPENDIX 5 | SURVEY PROFILE AND RESPONSE RATE ANALYSIS

Survey Profile

Table A5.1 Outcome Variables, Missing Data and Application of Imputation Methods for the Public Hospitals in the NHEWS (Hospital) 2012-2013 Survey.

# Outcome variable

2012 2013

Percentage (%) with

missing valuesImputation

Percentage (%) with


1. Total number of gazetted inpatient beds 0 - 0 -

2.Total number of gazetted functioning inpatient beds

0 - 0 -

3. Total number of inpatient admissions 0 - 0 -

4.Total Inpatient Day (Total Length of Stay) for all discharged patients

0 - 0 -

5. Emergency department visits 0 - 0 -

6. General outpatient department (OPD) visits 0 - 0 -

7. Specialist clinic visits (All) 0 - 0 -

8. Specialist clinic visits (Medicine) 0 - 0 -

9. Specialist clinic visits (General surgery) 0 - 0 -

10. Specialist clinic visits (Orthopaedics) 0 - 0 -

11. Specialist clinic visits (Obstetrics) 0 - 0 -

12. Specialist clinic visits (Gynaecology) 0 - 0 -

13. Specialist clinic visits (Paediatrics) 0 - 0 -

14.Specialist clinic visits (Otorhinolaryngology/ENT)

0 - 0 -

15. Specialist clinic visits (Ophthalmology) 0 - 0 -

16. Specialist clinic visits (Psychiatry) 0 - 0 -

17. Specialist clinic visits (Oncology) 0 - 0 -

18.Total number of dedicated mammogram machines

0 - 0 -

19. Total number of mammographies performed 0 - 0 -

20.Total number of screening mammographies performed

5 Yes 5 Yes

21.Total number of medical doctors (excluding house officers)

0 - 0. -

22. Total number of staff nurses 0 - 0 -

23.Total number of staff nurses with post-basic training

1 Yes 1 Yes

24. Total number of assistant medical officers 0 - 0 -

25.Total number of assistant medical officers with post-basic training

1 Yes 1 Yes

26. Total number of radiographers 0 - 0 -

27.Total number of radiographers with post-basic training in mammography

0 - 0 -

28.Total number of radiographers with post-basic training in CT scan

0 - 0 -

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Table A5.2 Outcome Variables, Missing Data and Application of Imputation Methods for the Private Hospitals in the NHEWS (Hospital) 2012-2013 Survey.

# Outcome variable

2012 2013

Percentage (%) with


Percentage (%) with


1. Total number of gazetted inpatient beds 0 - 0 -

2.Total number of gazetted functioning inpatient beds

0 - 0 -

3. Total number of inpatient admissions 0 - 0 -

4.Total Inpatient Day (Total Length of Stay) for all discharged patients

0 - 0 -

5. Emergency department visits 0 - 0 -

6. General outpatient department (OPD) visits 0 - 0 -

7. Specialist clinic visits (All) 7 Yes 4 Yes

8.Total number of dedicated mammogram machines

0 - 0 -

9. Total number of mammographies performed 0 - 0 -

10.Total number of screening mammographies performed

9 Yes 8 Yes

11.Total number of medical doctors (excluding house officers)

0 - 0 -

12. Total number of staff nurses 0 - 0 -

13.Total number of staff nurses with post-basic training

0 - 0 -

14. Total number of assistant medical officers 0 - 0 -

15.Total number of assistant medical officers with post-basic training

0 - 0 -

16. Total number of radiographers 0 - 0 -

17.Total number of radiographers with post-basic training in mammography

0 - 0 -

18.Total number of radiographers with post-basic training in CT scan

0 - 0 -


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Tabl

e A

5.3:

Num

ber

and

Perc

enta

ge o

f Res

pond

ents

of t

he N

HEW

S (H

ospi

tal)

Sur

vey

by S

tate

and

Sec

tor,

2011

-201

3

Stat

eSe

ctor

2011

2012

2013

Popu

lati

onR

espo

nden

t%

Popu

lati

onR

espo

nden

t%

Popu

lati

onR

espo

nden

t%

Mal

aysi

aPu

blic

135

135

100.

0013

913

910

0.00

141

141

100.

00M

alay

sia

Priv

ate

206

133

64.5

620

614

871

.84

210

151

71.9

0M

alay

sia

Tota

l34

126

878

.59

345

287

83.1

935

129

283

.19

Perl

isPu

blic

11

100.

001

110

0.00

11

100.

00Pe

rlis

Priv

ate

nana

nana

nana

nana

naPe

rlis

Tota

l1

110

0.00

11

100.

001

110

0.00

Keda

hPu

blic

99

100.

009

910

0.00

99

100.

00Ke

dah

Priv

ate

98

88.8

98

810

0.00

88

100.

00Ke

dah

Tota

l18

1794

.44

1717

100.

0017

1710

0.00

Keda

h &

Per

lisPu

blic

1010

100.

0010

1010

0.00

1010

100.

00Ke

dah

& P

erlis

Priv

ate

98

88.8

98

810

0.00

88

100.

00Ke

dah

& P

erlis

Tota

l19

1894

.74

1818

100.

0018

1810

0.00

Pula

u Pi

nang

Publ

ic6

610

0.00

66

100.

006

610

0.00

Pula

u Pi

nang

Priv

ate

2210

45.4

521

1152

.38

2112

57.1

4Pu

lau

Pina

ngTo

tal

2816

57.1

427

1762

.96

2718

66.6

7Pe

rak

Publ

ic14

1410

0.00

1515

100.

0015

1510

0.00

Pera

kPr

ivat

e16

1275

.00

1613

81.2

516

1381

.25

Pera

kTo

tal

3026

86.6

731

2890

.32

3128

90.3

2Se

lang

orPu

blic

1111

100.

0011

1110

0.00

1111

100.

00Se

lang

orPr

ivat

e49

3163

.27

5335

66.0

453

3464

.15

Sela

ngor

Tota

l60

4270

.00

6446

71.8

864

4570

.31

WP

Putr

ajay

aPu

blic

11

100.

001

110

0.00

22

100.

00W

P Pu

traj

aya

Priv

ate

nana

nana

nana

nana

naW

P Pu

traj

aya

Tota

l1

110

0.00

11

100.

002

210

0.00

WPK

LPu

blic

44

100.

005

510

0.00

55

100.

00W

PKL

Priv

ate

3721

56.7

637

2772

.97

3930

76.9

2W

PKL

Tota

l41

2560

.98

4232

76.1

944

3579

.55

Sela

ngor

& W

P Pu

traj

aya

& W

PKL

Publ

ic16

1610

0.00

1717

100.

0018

1810

0.00

Sela

ngor

& W

P Pu

traj

aya

& W

PKL

Priv

ate

8652

60.4

790

6268

.89

9264

69.5

7Se

lang

or &

WP

Putr

ajay

a &

WPK

LTo

tal

102

6866

.67

107

7973

.83

110

8274

.55

APPE

NDIX

5:S

URVE

Y PR

OFIL

E &

RESP

ONSE

RAT

E AN

ALYS

IS


133

Stat

eSe

ctor

2011

2012

2013

Popu

lati

onR

espo

nden

t%

Popu

lati

onR

espo

nden

t%

Popu

lati

onR

espo

nden

t%

Neg

eri S

embi

lan

Publ

ic6

610

0.00

77

100.

007

710

0.00

Neg

eri S

embi

lan

Priv

ate

95

55.5

69

888

.89

98

88.8

9N

eger

i Sem

bila

nTo

tal

1511

73.3

316

1593

.75

1615

93.7

5M

elak

aPu

blic

33

100.

004

410

0.00

44

100.

00M

elak

aPr

ivat

e4

410

0.00

44

100.

004

410

0.00

Mel

aka

Tota

l7

710

0.00

88

100.

008

810

0.00

Joho

rPu

blic

1111

100.

0011

1110

0.00

1111

100.

00Jo

hor

Priv

ate

3017

56.6

728

1760

.71

2917

58.6

2Jo

hor

Tota

l41

2868

.29

3928

71.7

940

2870

.00

Paha

ngPu

blic

1010

100.

0010

1010

0.00

1010

100.

00Pa

hang

Priv

ate

98

88.8

99

888

.89

98

88.8

9Pa

hang

Tota

l19

1894

.74

1918

94.7

419

1894

.74

Tere

ngga

nuPu

blic

66

100.

006

610

0.00

66

100.

00Te

reng

ganu

Priv

ate

11

100.

001

110

0.00

11

100.

00Te

reng

ganu

Tota

l7

710

0.00

77

100.

007

710

0.00

Kela

ntan

Publ

ic10

1010

0.00

1010

100.

0010

1010

0.00

Kela

ntan

Priv

ate

33

100.

003

310

0.00

33

100.

00Ke

lant

anTo

tal

1313

100.

0013

1310

0.00

1313

100.

00Sa

raw

akPu

blic

2020

100.

0020

2010

0.00

2020

100.

00Sa

raw

akPr

ivat

e12

1083

.33

129

75.0

013

969

.23

Sara

wak

Tota

l32

3093

.75

3229

90.6

333

2987

.88

Saba

hPu

blic

2222

100.

0022

2210

0.00

2323

100.

00Sa

bah

Priv

ate

53

60.0

05

480

.00

54

80.0

0Sa

bah

Tota

l27

2592

.59

2726

96.3

028

2796

.43

WP

Labu

anPu

blic

11

100.

001

110

0.00

11

100.

00W

P La

buan

Priv

ate

nana

nana

nana

nana

naW

P La

buan

Tota

l1

110

0.00

11

100.

001

110

0.00

Saba

h &

WP

Labu

anPu

blic

2323

100.

0023

2310

0.00

2424

100.

00Sa

bah

& W

P La

buan

Priv

ate

53

60.0

05

480

.00

54

80.0

0Sa

bah

& W

P La

buan

Tota

l28

2692

.86

2827

96.4

329

2896

.55

Tabl

e A

5.3

[con

tinu

ed]:

Num

ber

and

Perc

enta

ge o

f Res

pond

ents

of t

he N

HEW

S (H

ospi

tal)

Sur

vey

by S

tate

and

Sec

tor,

2011

-201

3

National Healthcare Establishment and Workforce Statistics ...

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Transcript of National Healthcare Establishment and Workforce Statistics ...