Screening tool article 250907
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Transcript of Screening tool article 250907
Testing the reliability and validity of a clinically useful supportive care needs screening tool in the cancer population.
Background Fitch defines supportive care as “including the provision of physical, psychosocial, informational and spiritual needs during diagnostic, treatment, and follow up phases of cancer care. Supportive care embraces the full range of issues that emerge for an individual as the impact of cancer and treatment are felt and the person tries to deal with the situation”
Despite growing evidence of their benefit many types of supportive care are not routinely implemented in the clinical practice setting. Research of the cancer population indicates that there remains a high incidence of unmet supportive care need and that unmet needs are likely to adversely impact on outcomes. It is likely that many patients miss out because clinicians do not routinely asked about the patient’s supportive care needs and/or patients do not initiate discussion about their supportive care needs. Despite a number of supportive care screening tools available few are used routinely in clinical practice and there have been few attempts to translate research findings into sustainable clinical practice models.
A clinically useful Peter Mac Supportive Needs Screening Tool (SNST) was developed to be used routinely to identify supportive care needs of cancer patients in the ambulatory setting. The development of the tool followed a review of relevant literature and engagement of the multidisciplinary team to identify questions they thought reflected key referral criteria. As this was a new tool, following pilot testing which indicated clinician and patient satisfaction, information regarding the reliability and validity of the tool was required.
Objectives The aim of this project was to determine the reliability and validity of the Peter Mac Supportive Needs Screening Tool (SNST). The tool was tested in an ambulatory care radiotherapy centre in metropolitan Melbourne.
Primary objectives 1. To estimate the correlations between the three instruments (Peter Mac
SNST, BSI18 and SCNS) in their psychological domain scores. 2. To estimate the correlations between two instruments (Peter Mac
SNST and SCNS) in physical, sexuality and healthsystem and information domain scores.
3. To assess the repeatability of the Peter Mac SNST instrument.
Secondary To assess the association between each item, as well as the mean of the items, in the psychological domain of the Peter Mac SNST with the depression and anxiety scores in the BSI18.
Method Setting: The study was conducted in outpatient clinics at the Moorabbin site of the Peter MacCallum Cancer Centre (Peter Mac). Patients with cancer attending the Moorabbin site were selected because staff at this site have not been involved in the pilot testing of the Peter Mac SNST. This site provides radiotherapy treatment to patients and is not involved in providing chemotherapy or surgery to patients attending the centre increasing the homogeneity of the group.
The Tools: The Supportive Needs Screening Tool (Peter Mac SNST) was a 30 question patientcompleted tool that has been grouped into five domains, the physical, psychological, social, information, and spiritual needs. The Peter Mac SNST is mostly a “yes/no” format. The Peter Mac SNST was not intended to measure change in intensity of needs.
The short form of Supportive Care Needs Survey (SCNS) was used to assess patients’ unmet needs. It has 59 items and 5 subscales: psychological, health information, physical and daily living needs, patient care and support needs and sexuality. The long form displays high internal consistency and construct validity.
The Brief Symptom Inventory – 18 (BSI18) was an 18 item 04 rating scale that has been validated in the cancer population, and provides three sub scores – somatization, depression and anxiety with values specific to gender as well as an overall distress score.
There were also project specific questions at the end of the Peter Mac Screening Tool and the SCNS which included questions regarding the tools, whether the questions are understood, are able to be answered and whether patients would feel comfortable with completing the questionnaires again.
Design: This was a crosssectional study. For the testretest, participants completed the first assessment while waiting for their appointment and completed the second stage assessment at home 72 hours later and returned this by post.
To evaluate construct validity patients completed the three assessment tools at the same time either whilst on site waiting for an appointment or at the 72 hour followup. The questionnaire pack contained the Peter Mac SNST, the SCNS and the BSI18 presented in a random order.
Sample A sample of 200 was required. There were two arms of the study design. This was to identify if there was any bias introduced because of the order of completing the tools.
Results
Two hundred people agreed to participate in the project, and from this group a total of 159 participants completed the tools at the two time points. The cancer diagnosis of the people who agreed to participate were:
• 104 breast • 39 Prostate • 20 Gastrointestinal • 12 Lymphoma, myeloma, leukaemia • 9 Gynaecological • 9 Lung • 7 Other
Of the participants who did not complete the tools at the two time points (41 of 200)
(20%) there was no specific pattern as to which tool was not completed:
– 18 Peter Mac Screening Tools when completed alone
– 22 Peter Mac Screening Tools when completed with other 2 tools
– 26 Supportive Care Needs Surveys
– 27 Brief Symptom Inventory
In order to investigate the validity of the SNST Psychological Domain, total scores
were calculated for the 12 items in the SNST Psychological Domain, the 18 items in
the BSI18, and the 22 items in the SNCS Psychological Domain. The domain
scores were then assessed for normality and any potential response biases or
differential functioning by different demographic subgroups. Finally, the domain
scores were assessed in relation to criterion measures to determine the validity of the
scales.
According to published guidelines for scoring the BSI18 and the SCNS, total scores
were calculated by summing the answers for each question.
To calculate the total score for the SNST Psychological Domain, responses to each
question were summed and then divided by the number of items to achieve an
average score for the domain. This method effectively results in each patient having
a proportion of need, providing an easily interpretable measure of the depth of need
that each patient has. This also allows respondents to be easily compared across
domains to quickly and easily determine which areas patients are most in need of
supportive care assistance.
The SNST Psychological Domain score displays a mild Poisson distribution, with
values spanning almost the full range of possible scores from 0 to 0.92 (possible
value range 01.0; see Figure 2 for distribution; see Table 13 for means and standard
deviations; see Appendix H.1 for item distributions). As the Psychological Domain
score equates to a count of the number of needs a patient has, a Poisson distribution
is expected. Accordingly, nonparametric tests will be used to assess relationships
between the different validation measures.
Primary Objective 1 Construct Validity of the Psychological Domain
A fundamental assumption made during the development of the SNST was that the
tool would be used as a preliminary screening to identify patients who might have
need of additional supportive care assistance. It was therefore the aim of the tool to
be correlated with other previously validated measures of supportive care needs,
such as the SCNS, and in the case of the psychological domain for the SNST to be
correlated with measures of psychological pathology. As a measure of psychological
pathology or symptomology, the BSI18 was also included in the questionnaire
battery as a validation measure for the SNST Psychological Domain. Therefore, it is
anticipated that people with high scores on the SNST, indicating a high need of
supportive care assistance, will also obtain high scores on the BSI18 and the SCNS
Psychological Domain.
In order to investigate the potential presence of any order effects, a multivariate
analysis of variance was conducted on the 3 psychological domain scores (SNST
Psychological Domain, BSI18, and the SCNS Psychological Domain) for the two
arms of the test administration. There was no significant difference in the mean
scores of the SNST Psychological Domain, the BSI18, or the SCNS Psychological
Domain for the different arms. The order of test administration, SNST first and 3
tools second or the 3 tools first and the SNST second, did not result in significantly
different mean scores on the psychological domains of the 3 tools. Accordingly,
further analyses of the psychological domains were conducted for both arms
together.
A series of Spearman’s correlations were conducted to determine if any relationship
existed between the scores on the 3 different tools.
1.1 SNST Psychological Domain and BSI18
A strong positive relationship was found between the SNST Psychological Domain
and the BSI18 Total Score (Rho=0.711, p<0.001). Patients who scored highly on
the BSI18 also tended to score highly on the SNST Psychological Domain (see
Figure 1).
Figure 1
Scatterplot of SNST Psychological Domain Score with BSI18 Total Score
60 50 40 30 20 10 0
BSI_Total
1.00
0.80
0.60
0.40
0.20
0.00
SNST
_3_P
SYCH_M
ean1
2
SNST First
3 Tools First
SNST First
3 Tools First
Arm
R Sq Linear = 0.673
R Sq Linear = 0.567
1.2 SNST Psychological Domain and SCNS Psychological Domain
A moderately strong positive relationship was found between the SNST
Psychological Domain and the SCNS Psychological Domain (Rho=0.562, p<0.001).
Patients who scored highly on the BSI18 also tended to score highly on the SNST
Psychological Domain (see Figure 2).
Figure 2
Scatterplot of SNST Psychological Domain Score with SCNS Psychological Domain
Score
1.00 0.80 0.60 0.40 0.20 0.00
SCNS_Psych_summ22_bi
1.00
0.80
0.60
0.40
0.20
0.00
SNST
_3_P
SYCH_M
ean1
2
SNST First
3 Tools First SNST First
3 Tools First
Arm
R Sq Linear = 0.514
R Sq Linear = 0.235
1.3 SCNS Psychological Domain and BSI18
A strong positive relationship was found between the SCNS Psychological Domain
and the BSI18 Total Score (Rho=0.706, p<0.001). Patients who scored highly on
the BSI18 also tended to score highly on the SCNS Psychological Domain (see
Figure 3).
Figure 3
Scatterplot of SCNS Psychological Domain Score with BSI18 Total Score
60 50 40 30 20 10 0
BSI_Total
1.00
0.80
0.60
0.40
0.20
0.00
SCNS_
Psych_
summ22_b
i
SNST First
3 Tools First SNST First
3 Tools First
Arm
R Sq Linear = 0.558
R Sq Linear = 0.417
1.4 Sensitivity of the SNST as a Screening Tool
The SNST was designed to be used as a screening tool to help clinicians identify
patients who may need further assistance or additional supportive care. In an effort
to ensure that all patients who may have a need are able to speak to a clinician so
that the patient’s needs can be explored to determine the extent, importance and
immediacy of the supportive care need, to determine whether the provision of
information will satisfy the need or whether referral to an ancillary is required. The
SNST must be able to detect any potential need, not only cases of clinical pathology.
The BSI18 was designed as a clinical tool to help identify patients with clinical
symptoms of Anxiety, Depression, and Somatisation. Significant pathology must be
present in order for a patient to be considered a case, however patients without such
a severe level of clinical pathology may simply require less stringent interventions to
alleviate their symptoms. Therefore, it is anticipated that the SNST will identify more
patients as ‘cases’ (requiring further interview with a clinician) than the BSI18,
although the SNST should display similar levels of sensitivity in identifying ‘cases’ as
the SCNS ‘No Need/Some Need’ dichotomy.
As expected, the SNST correctly classified 96% of cases identified by the BSI18 (25
out of 26), and 85% of cases identified by the SCNS (94 out of 111). The SNST is a
highly sensitive tool for identifying patients with potential psychological or emotional
needs.
Table 1
Sensitivity of the SNST Psychological Domain Compared to the BSI18 and the
SNST Psychological Domain
No Need (answered 'No' to all
questions)
Some Need (answered 'Yes' to at least 1 question)
BSI18 NonCase %(n) 32.65% (48) 67.35% (99) Case %(n) 3.85% (1) 96.15% (25)
SCNS Psychology Domain No Need %(n) 50.82% (31) 49.18% (30) Some Need %(n) 15.32% (17) 84.68% (94)
SNST
Primary Objective 2 – Construct Validity of the Physical, Sexuality,
HealthSystem, and Information Domains
2.1 SNST Physical Domain and SCNS Physical Domain
In order to investigate the potential presence of any order effects, a multivariate
analysis of variance was conducted on the 2 physical domain scores (SNST Physical
Domain, and the SCNS Physical Domain) for the two arms of the test administration.
A significant difference was found in the mean scores of the SCNS Physical Domain
for the different arms (F(1)=3.929, p=0.049). Patients who completed the 3 tools first
and the SNST second scored significantly higher on the SCNS Physical Domain than
patients who completed the SNST first and the 3 tools first second. Accordingly,
further analyses of the physical domains were conducted for each arm separately.
A strong positive relationship was found between the SNST Physical Domain Score
and the SCNS Physical Domain Score for Arm 1 (3 tools first: Rho=0.697, p<0.001)
and for Arm 2 (SNST first: Rho=0.651, p<0.001). Patients who scored highly on the
SCNS Physical Domain also tended to score highly on the SNST Psychological
Domain (see Figure 4), however the relationship was slightly stronger when patients
completed the 3 tools first.
Figure 4
Scatterplot of SNST Physical Domain Score with SCNS Physical Domain Score
1.00 0.80 0.60 0.40 0.20 0.00
SCNS_Phys_summ7_bi
0.60
0.50
0.40
0.30
0.20
0.10
0.00
SNST
_3_P
HYS
_Mean2
6
SNST First
3 Tools First SNST First
3 Tools First
Arm
R Sq Linear = 0.473
R Sq Linear = 0.42
2.2 SNST Sexuality Domain and SCNS Sexuality Domain
In order to investigate the potential presence of any order effects, a multivariate
analysis of variance was conducted on the 2 sexuality domain scores (SNST
Sexuality Domain, and the SCNS Sexuality Domain) for the two arms of the test
administration. There was no significant difference in the mean scores of the SNST
Sexuality Domain (F(1)=0.068, p=0.795) and the SCNS Sexuality Domain
(F(1)=0.230, p=0.632) for the different arms. The order of test administration, SNST
first and 3 tools second or the 3 tools first and the SNST second, did not result in
significantly different mean scores on the sexuality domains of the 2 tools.
Accordingly, further analyses of this domain were conducted for both arms together.
A weak to moderate positive relationship was found between the SNST Sexuality
Domain and the SCNS Sexuality Domain (Rho=0.411, p<0.001). Patients who
scored highly on the SCNS Sexuality Domain also tended to score highly on the
SNST Sexuality (see Figure 5).
Figure 5
Scatterplot of SNST Sexuality Domain Score with SCNS Sexuality Domain Score
1.00 0.80 0.60 0.40 0.20 0.00
SCNS_Sex_summ3_bi
1
0.8
0.6
0.4
0.2
0
SNST
_3_S
EX_Q
13hD
ecr
SNST First
3 Tools First SNST First
3 Tools First
Arm
R Sq Linear = 0.111
R Sq Linear = 0.25
2.3 SNST Support Domain and SCNS HealthSystem Domain
In order to investigate the potential presence of any order effects, a multivariate
analysis of variance was conducted on the 2 healthsystem/support domain scores
(SNST Support Domain, and the SCNS HealthSystem Domain) for the two arms of
the test administration. There was no significant difference in the mean scores of the
SNST Support Domain (F(1)=0.719, p=0.398) and the SCNS HealthSystem Domain
(F(1)=0.014, p=0.907) for the different arms. The order of test administration, SNST
first and 3 tools second or the 3 tools first and the SNST second, did not result in
significantly different mean scores on the healthsystem/support domains of the 2
tools. Accordingly, further analyses of this domain were conducted for both arms
together.
A weak positive relationship was found between the SNST Support Domain and the
SCNS HealthSystem Domain (Rho=0.265, p<0.001). Patients who scored highly on
the SCNS HealthSystem Domain also tended to score highly on the SNST Support
Domain (see Figure 6).
Figure 6
Scatterplot of SNST Support Domain Score with SCNS HealthSystem Domain
Score
1.00 0.80 0.60 0.40 0.20 0.00
SCNS_Supp_summ12_bi
0.70
0.60
0.50
0.40
0.30
0.20
0.10
0.00
SNST
_3_S
UPP
_Mean1
0
SNST First
3 Tools First SNST First
3 Tools First
Arm
R Sq Linear = 0.008
R Sq Linear = 0.116
2.4 SNST Information Domain and SCNS Information Domain
In order to investigate the potential presence of any order effects, a multivariate
analysis of variance was conducted on the 2 information domain scores (SNST
Information Domain, and the SCNS Information Domain) for the two arms of the test
administration. There was no significant difference in the mean scores of the SNST
Information Domain (F(1)=0.265, p=0.608) and the SCNS Information Domain
(F(1)=0.027, p=0.869) for the different arms. The order of test administration, SNST
first and 3 tools second or the 3 tools first and the SNST second, did not result in
significantly different mean scores on the information domains of the 2 tools.
Accordingly, further analyses of this domain were conducted for both arms together.
A weak to moderate positive relationship was found between the SNST Information
Domain and the SCNS Information Domain (Rho=0.405, p<0.001). Patients who
scored highly on the SCNS Information Domain also tended to score highly on the
SNST Information Domain (see Figure 7).
Figure 7
Scatterplot of SNST Information Domain Score with SCNS Information Domain Score
1.00 0.80 0.60 0.40 0.20 0.00
SCNS_Info_summ15_bi
1.00
0.80
0.60
0.40
0.20
0.00
SNST
_3_INFO
_Mean2
3
SNST First
3 Tools First SNST First
3 Tools First
Arm
R Sq Linear = 0.113
R Sq Linear = 0.301
Primary Objective 3 – Reliability Analysis of the SNST 3.1 TestRetest Reliability/Repeatability Analysis
In order to investigate the testretest reliability of the SNST, the tool was
administered twice, the first administration was at the hospital, and a second
questionnaire was given to patients to take home. Patients were instructed to
complete the second questionnaire and return within 7 days via a reply paid
envelope. Accordingly, correlations between questionnaire administration 1 and
questionnaire administration 2 were conducted to determine whether patients felt the
same, and responded in the same fashion after a 1 week delay.
Moderate to strong positive correlations were found between the two test
administrations of the questions in the SNST Psychological Domain, with
Spearman’s Rho coefficients ranging from 0.328 to 0.758. All correlations were
significant at p<0.001 level (see Table 2). Overall, patients responded to the
questions in the Psychological Domain in a consistent manner over time. This is
reflective of the longterm and ongoing nature of psychological and emotional
problems associated with depression and anxiety.
Table 2
TestRetest Correlation Coefficients for the Questions in the SNST Psychological
Domain. Spearman's Rho
Correlation pvalue
Psychological 14 a) During the past two weeks have you felt sad, flat or depressed most of the time? 0.527 0.000 14 b) During the past two weeks have you felt a loss of interest or pleasure in things that you usually enjoy? 0.530 0.000 14c) During the past two weeks have you felt a lot of worry or anxiety? 0.484 0.000 14d) During the past two weeks have you found it difficult to take your mind off worrying thoughts? 0.445 0.000 14 e) During the past two weeks have you experienced feelings of sudden panic or fear? 0.543 0.000 14 f) During the past two weeks have you felt very restless, or constantly needed to be on the move? 0.552 0.000 14 g) During the past two weeks have you felt generally slowed down or sluggish? 0.328 0.000 14 h) During the past two weeks have you had difficulty concentrating or making decisions? 0.591 0.000 14 i) During the past two weeks have you had thoughts about giving up? 0.413 0.000 15) Has there ever been a time whey you felt sad or depressed for more than a few weeks? 0.502 0.000 16) Have you ever had any treatment for psychological / emotional concerns 0.758 0.000 17) Are you currently receiving treatment for psychological / emotional concerns? 0.619 0.000
Many moderate to strong positive correlations were found between the two test
administrations of the questions in the SNST Physical Domain, however some weak
correlations were also found. Spearman’s Rho coefficients ranged between 0.185
and 0.744, and all correlations were significant at p<0.001 level (see Table 3).
Closer examination of the questions revealed that questions with weaker correlations
tended to relate to more transient issues of physical needs which may present or be
alleviated within shorter periods of time, such as vomiting, while questions with
stronger correlations tended to relate to longer term physical issues, such as having
difficulty hearing or experiencing weight loss.
Table 3
TestRetest Correlation Coefficients for the Questions in the SNST Physical Domain. Spearman's Rho
Correlation pvalue
Physical 4. Do you any difficulty with speaking or communicating
5. Do you have difficulty in concentrating and remembering things? 0.511 0.000 6. Do you have difficulty hearing? 0.744 0.000 7. Do you have any difficulty with seeing? 0.335 0.000 9. Do you use any type of health or mobility aid? 0.425 0.000 11. In the last 3 months have you lost more than 5 kg (1 stone) in weight? 0.711 0.000 12. During the past two weeks did pain interfere with your activities? 0.459 0.000 13 a) During the past two weeks have you been feeling sick or nauseous 0.488 0.000 13 b) During the past two weeks have you been vomiting? 0.185 0.000 13 c) During the past two weeks have you had a headache or dizziness? 0.423 0.000 13 d) During the past two weeks have you had lack of appetite? 0.455 0.000 13 e) During the past two weeks have you had fatigue or tiredness or lack of energy? 0.434 0.000 13 f) During the past two weeks have you had any difficulty swallowing? 0.355 0.000 13 g) During the past two weeks have you been feeling short of breath 0.563 0.000 13 i) During the past two weeks have you had sleep problems (eg falling asleep or sleeping too much) 0.517 0.000 13 j) During the past two weeks have you had difficulty with your bowels 0.536 0.000 13k) During the past two weeks have you had difficulty passing water 0.306 0.000 13 l) During the past two weeks have you had problems with your mouth 0.278 0.000 13 m) During the past two weeks have you had problems with your skin 0.424 0.000 13 n) During the past two weeks have you had problems with swelling of your arms or legs 0.459 0.000 18 a) During the past two weeks did you need help with dressing? 0.604 0.000 18b) During the past two weeks did you need help with showering / bathing 0.590 0.000 18 c) During the past two weeks did you need help with toileting
18 d) During the past two weeks did you need help with cooking / eating 0.555 0.000 18 e) During the past two weeks did you need help with using stairs 0.218 0.000 18 f) During the past two weeks did you need help with shopping or looking after your home 0.540 0.000
*All patients answered 'No' when 3 tools administered together
*All patients answered 'No' at both administrations
Many weak to moderate strength positive correlations were found between the two
test administrations of the questions in the SNST HealthSystem & Information
Domain. Some very weak correlations were also found. Spearman’s Rho
coefficients ranged between 0.101 and 0.621, and all correlations were significant at
p<0.001 level (see Table 4). Closer examination of the questions again revealed that
questions with weaker correlations tended to relate to more transient issues of
healthsystem and information needs which may present or be alleviated within
shorter periods of time, such as requiring medical certificates, while questions with
stronger correlations tended to relate to longer term physical issues, such as
relaxation, meditation, and worship/prayer.
Table 4
TestRetest Correlation Coefficients for the Questions in the SNST HealthSystem &
Information Domain. Spearman's Rho
Correlation pvalue
HealthSystem & Information Would you like more information about: 29 a) Who is in your treatment team and what they do? 0.403 0.000 29b) Your diagnosis 0.318 0.000 29c) your treatment choices 0.315 0.000 29d) understanding your medicines 0.422 0.000 29e) possible sideeffects and discomforts during and after treatment 0.401 0.000 29f) prognosis 0.345 0.000 29g) using complementary therapies 0.400 0.000 29h) palliative care services 0.451 0.000 29 i) aftercare: what happens at the end of treatment 0.277 0.000 30 a) help getting to and from hospital 0.195 0.000 30 b) travel assistance or reimbursement for rural patients 0.438 0.000 30c) accommodation assistance for you / family during your treatment 0.101 0.000 30d) home care and other in home assistance 0.170 0.000 30 e) support for children or dependent family members whilst you are having treatment 0.363 0.000 30 f) medical certificates or employment related issues 0.108 0.000 30 g) financial assistance including sickness benefits, social security. 0.460 0.000 31 a) Diet 0.484 0.000 31 b) activity recommendations 0.456 0.000 31 c) counselling 0.369 0.000 31d) relaxation 0.501 0.000 31d) meditaition 0.601 0.000 31 e) worship / prayer 0.621 0.000 31f) services to help your family 0.347 0.000
Many moderate to strong positive correlations were found between the two test
administrations of the questions in the SNST Support Domain. Some very weak
correlations were also found. Spearman’s Rho coefficients ranged between 0.081
and 0.757, and all correlations were significant at p<0.001 level (see Table 5).
Closer examination of the questions revealed that there was one question with
almost no correlation which related to having someone to talk to about feelings and
concerns. It would be expected that this question is not transient; having a friend or
family member with whom to talk does not change within a period of one week. This
finding raises possible questions about whether the patient feels comfortable talking
about their feelings and concerns, regardless of whether someone is available to talk
to. This result is interesting and requires further investigation to clarify the
interpretation of this question, and/or why patients are experiencing such a change in
such a short period of time.
Further, examination of the questions with stronger correlations revealed that many
other questions for which the response would be unlikely to change within the period
of one week displayed only moderate correlations. For example, “Have you recently
experienced the loss of a loved one?” displayed only a moderate strength
relationship (Rho=0.577). It would be very unusual for half of the sample to have lost
a loved one in the space of one week between test administrations.
Table 5
TestRetest Correlation Coefficients for the Questions in the SNST Support Domain. Spearman's Rho
Correlation pvalue
Support 23) Are there other adults currently living with you? 0.567 0.000 24) Do you currently care for children or dependent adults 0.757 0.000 25 a) Have you recently been troubled by problems with accommodation or your living arrangements? 0.556 0.000 25 b) Have you recently been troubled by serious health problems? 0.295 0.000 25 c) Have you recently been troubled by the loss of a loved one? 0.577 0.000 25 d) Have you recently been troubled by significant financial difficulties? 0.530 0.000 25 e) Have you recently been troubled by significant relationship difficulties? 0.556 0.000 26) Have you been having difficulties coping with the treatment? 0.241 0.000 27) Is there someone who will be available to give you practical assistance during your treatment? 0.190 0.000 28) Is there someone that you can talk to about your feelings or concerns? 0.081 0.000
A weak positive correlation was found between the two test administrations of the
question in the SNST Sexuality Domain (Rho=0.346, p<0.001; see Table 6). This
may be indicative of the relatively transient nature of sexual activity, and the specific
instruction to think about the past two weeks.
Table 6
TestRetest Correlation Coefficients for the Question in the SNST Sexuality Domain. Spearman's Rho
Correlation pvalue
Sexuality 13h) During the past two weeks have you had decreased sexual interest or activity. 0.346 0.000
Overall, the majority of questions in the SNST displayed very good testretest
reliability, and many of those with poor testretest reliability could reasonably be
expected to be unstable over short periods of time. The Psychological Domain
displayed strong testretest reliability, supporting the contention that the questions in
this domain tap into the relatively stable and psychological and emotional aspects of
patients supportive care needs. The Physical Domain, HealthSystem & Information
Domain, and Sexuality Domain all reflect testretest reliability in accordance with the
types of questions in each domain. Questions about shortterm, transient issues and
needs display weaker testretest reliability than questions about longerterm, stable
issues and needs. The Support Domain has produced unexpected results, with the
majority of correlations not as strong as expected in relation to the level of stability of
the issue of need. This raises several questions of potential utility of these questions
and should therefore be investigated further.
3.2 Internal Consistency Reliability Analysis
In order to investigate the suitability of the SNST subscales, separate Reliability
Analyses were conducted on each of the SNST Domain subscales, with the
exception of the Sexuality Domain as it comprises only one item (See Table 1 for
KuderRichardson 20 values; see Appendix for results of all reliability analyses).
The resulting reliability analysis on the 12 items of the SNST Psychological Domain
revealed strong internal consistency with a KuderRichardson 20 coefficient of 0.852
(see Appendix for results of reliability analysis). A KuderRichardson 20 value this
high indicates that there are substantial intercorrelations among the items.
Examination of the interitem correlations revealed strong correlations between
following four items ‘During the past 2 weeks have you: ‘felt sad, flat or depressed
most of the time?’, ‘felt a loss of interest or pleasure in things that you usually
enjoy?’, ‘felt a lot of worry or anxiety?’, and ‘found it difficult to take your mind off
worrying thoughts?’ (see Table for intercorrelations). The item ‘felt a loss of interest
or pleasure in things that you usually enjoy?’ also had the strongest corrected item
total correlation (r=0.742), indicating that this item was adding the least information to
the scale over and above that contributed by the other scale items.
The 24 items of the SNST Physical Domain also had good internal consistency with a
KuderRichardson 20 coefficient of 0.804 (see Appendix for results of reliability
analysis), however the simple fact of having such a large number of items increases
the internal consistency of the scale regardless of the intercorrelations between the
items. Examination of the interitem correlations revealed only a few moderate
strength relationships, however there were only weak to no relationship between
most of the items.
The ten HealthSystem and Support Domain items displayed poor internal
consistency with a KuderRichardson 20 coefficient of 0.530 (see Appendix F.4 for
results of reliability analysis). Examination of the interitem correlations revealed that
most of the items were not related with Pearson’s r coefficients less than 0.1.
However, some weak relationships were found between the item ‘Are there other
adults currently living with you?’ and the item ‘Is there someone who will be available
to give you practical assistance during your treatment?’ (r=0.443), and also with the
item ‘Is there someone that you can talk to about your feelings or concerns?’
(r=0.319). A moderate strength relationship was also found between then items ‘Is
there someone who will be available to give you practical assistance during your
treatment?’ and ‘Is there someone that you can talk to about your feelings or
concerns?’ (r=0.627). Examination of the corrected itemtotal correlations revealed
that the item ‘Have you been having difficulties coping with your treatment?’ had
almost no relationship with the total of all the other items (r=0.093), and if removed
from the scale would increase the KuderRichardson 20 coefficient to 0.564.
The 23 Information Domain items displayed very strong internal consistency with a
KuderRichardson 20 coefficient of 0.919 (see Appendix F.4 for results of reliability
analysis). Again, such a high value is expected with such a large number of items in
the scale. Examination of the interitem correlations revealed many moderate to
strong correlations between the items, indicating that many of the items are tapping
into similar aspects of the information needs of cancer patients. Examination of the
corrected itemtotal correlations revealed moderate strength relationships between
each individual item and the total of all other items combined, indicating that each
item, while related to the other items in the subscale, also provided a unique
contribution to the total score over and above that provided by the other items in the
scale.
Table 2
Internal Consistency estimates for the SNST Domains
Domain Number of items
KuderRichardson 20 Coefficient
Psychological 12 0.852 Physical 24 0.804 HealthSystem & Support 10 0.530 Information 23 0.919
Scale Evaluation of the SNST
As the SNST is a newly developed tool designed to have 5 subscales, the underlying
structure of the SNST should be examined to determine if there really are 5
subscales as anticipated, or if the items in the scale actually display a different
underlying dimensionality. Factor Analysis should be conducted to investigate and
confirm the appropriateness of the subscales and the underlying structure.
Guidelines for the conduction of factor analysis specify that the minimum requirement
for the subject to variable ratio should be at least 5:1. Due to the relatively small
sample size of the current study compared to the large number of items in the SNST,
factor analysis could not be conducted in the present study as the minimum
requirement for subject to variable ratio has not been met. Future research should
aim to obtain sample large enough to conduct factor analysis in order to confirm the
assumed dimensionality of the SNST.
Implications The Supportive Needs Screening Tool is a clinically useful evidencebased tool that can be used to help identify patients who are at high risk of adverse psychological events. The tool is a patient completed form that the clinician can use as a basis for a focused discussion on the supportive care needs of a cancer patient. The tool helps facilitate the implementation of the NHMRC supportive care guidelines.
There has been intrastate, interstate and international interest in the Screening Tool. Peter Mac has received requests for a copy of the SNST from: • Cancer and Palliative Care, Department of Human Services, Vic • Project Officer, Western & Central Melbourne Integrated Cancer Service,
Vic • Nurse Unit Manager, Sutherland Day Oncology Unit, Warringal Private
Hospital • Breast Care Clinical Nurse Consultant; Maroondah Hospital • Breast Care Nurse Consultant, Epworth Hospital • Clinical Health Psychologist, Townsville Hospital • Respiratory Cancer Nurse, WA • Project Coordinator, Cancer Screening Services Unit, Population Health
Branch Queensland Health • Senior Project Officer, National Breast Cancer Centre, NSW • Cancer care Coordinator chemotherapy St Vincents Hospital,
Darlinghurst • Breast Cancer Nurse Coordinator; Northern Sydney Central Coast Health • Breast Cancer Care Coordinator, Sydney South Western Area Health
Service