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Original Article
From the *Department of Psychology;†Center on Aging and Health,
University of Regina, Regina, SK;‡School of Nursing, McMaster
University, Hamilton, ON;§Village of Erin Meadows,
Mississauga, ON, Canada.
Address correspondence to Thomas
Hadjistavropoulos, PhD, ABPP,
FCAHS, University of Regina,
Department of Psychology and Center
on Aging and Health, Regina, SK,
Canada, S4S OA2. E-mail: Thomas.
Received January 17, 2013;
Revised July 27, 2013;
Accepted July 29, 2013.
1524-9042/$36.00
� 2013 by the American Society for
Pain Management Nursing
http://dx.doi.org/10.1016/
j.pmn.2013.07.009
Improving PainAssessment Practicesand Outcomes inLong-Term CareFacilities: A MixedMethods Investigation--- Thomas Hadjistavropoulos, PhD, ABPP, FCAHS,*,†
Sharon Kaasalainen, PhD,‡ Jaime Williams, PhD,†
and Ramesh Zacharias, MD§
- ABSTRACT:An ongoing concern in long-term care (LTC) is that pain problems are
often not identified correctly. There is also evidence that behavioral
disturbance due to pain is misattributed to psychiatric conditions and
consequently frequently treated with psychotropic rather than anal-
gesic medication. This can result in unnecessary polypharmacy and
ineffective pain management. In a previous study, implementation of
a pain assessment protocol resulted in changes in administration of
pro re nata (PRN) medications and positive outcomes. However, there
were no changes in regularly scheduled medications suggesting that
assessment results were either not communicated to the prescribing
physicians or not taken into account. The goal of this study was to
determine whether a pain assessment protocol, augmented with
communication of the assessment results to the residents’ physicians,
affects prescriptions of analgesic and psychotropic medication. Psy-
chotropic medication reduction would help address the problem of
polypharmacy frequently seen in LTC facilities. PRNmedications were
also examined. This investigation involved a two group design (con-
trol vs. assessment). A mixed methods analysis included both quanti-
tative and qualitative procedures. At the end of the study, residents in
the pain assessment group were administered fewer psychotropic
medications than patients in the control group, helping address the
problem of polypharmacy. Pain levels were comparable between the
groups. Health care staff indicated that the protocol resulted in more
careful evaluation of residents’ pain and greater appropriateness of
prescriptions including reductions in polypharmacy.
� 2013 by the American Society for Pain Management Nursing
Pain Management Nursing, Vol -, No - (--), 2013: pp 1-12
2 Hadjistavropoulos et al.
Pain in long-term care (LTC) residents with dementia is
frequently undertreated (Reynolds, Hanson, DeVellis,
Henderson, & Steinhauser, 2008) largely because of
the difficulties associated with effectively assessing
pain in this population (Hadjistavropoulos, Voyer,
Sharpe, Verreault & Aubin, 2008; Sengstaken & King,
1993). Use of simple self-report procedures to assesspain is appropriate and usually valid among patients
with mild to moderate dementia (Ferrell, Ferrell, &
Rivera, 1995; Scherder & Bouma, 2000; Weiner,
Peterson, Logue & Keefe, 1998). As dementia severity
progresses, however, patients develop severe
limitations in their ability to report pain and nursing
staff frequently fail to identify pain and fluctuations
in the pain experience (McAuliffe, Nay, O’Donnell, &Fetherstonhaugh, 2009).
Pain in patients with dementia can result in behav-
ioral disturbance that may be misattributed to a psychi-
atric problem rather than pain (Cipher, Clifford, &
Roper, 2006). As such, a related concern involves fre-
quent, possibly inappropriate use of neuroleptic and
benzodiazepine medication combined with an under-
utilization of appropriate analgesia (Balfour &O’Rourke, 2003). Balfour and O’Rourke (2003) demon-
strated that less than half of a large sample of patients
withAlzheimer’s disease and comorbid arthritis or rheu-
matismwere treated for pain. These same patients with
undertreated pain were also more likely to have been
prescribed benzodiazepine medication than patients
without dementia. Not only does this cause concern
from the standpoint of painunder-treatment but also be-cause benzodiazepines increase the risk of injurious
falls (and thus future pain) in frail elderly individuals
(Woolcott et al., 2009). Administering psychotropic
medication to treat behavioral manifestations of under-
managed pain may be contributing to unnecessary
polypharmacy. Appropriate pain assessment and com-
munication of assessment results to health care pro-
viders, including prescribing physicians, has thepotential of reducing usage of psychotropic medica-
tions in the treatment of pain-related concerns and pos-
sibly increasing usage of optimal analgesic medication.
Examination of this issue was a key focus of this
investigation.
Nonverbal expressions of pain have been
shown to be useful in the assessment of the variability
in the pain experience (Lints-Martindale, Barber,Hadjistavropoulos & Gibson, 2007). In recent years, ef-
forts have focused on the identification and validation
of effective and clinically useful observational ap-
proaches designed to assess pain in people with de-
mentia (Aubin, Gigu�ere, Hadjistavropoulos, &
Verreault, 2007; Herr et al., 2006; Snow et al., 2004;
Stolee, Hillier, Esbaugh, McKellar, & Gauthier, 2005;
Zwakhalen, Hamers, Abu-Saad, & Berger, 2006a). In
addition, protocols aimed to improve pain
assessment and management practices in LTC have
been developed (Hadjistavropoulos et al., 2009a;
Hadjistavropoulos et al., 2007; Herr, Coyne,
McCaffery, Manworren, & Merkle, 2011; Kaasalainen
et al., 2012).Using the Pain Assessment Checklist for Seniors
with Limited Ability to Communicate (PACSLAC)
(Fuchs-Lacelle & Hadjistavropoulos, 2004), Fuchs-
Lacelle, Hadjistavropoulos and Lix (2008) demon-
strated that regular use of pain assessment with LTC
patients who have severe dementia can affect pro re
nata (PRN; to be taken as needed) pain medication ad-
ministrations by nurses and potentially improve clinicalpractices and pain levels. Although these researchers
concluded that regular pain assessment of dementia pa-
tients had a positive effect when it came to PRNmedica-
tion usage, medications that were prescribed to be
taken on a regular basis were unaffected. This may be
due to various factors (e.g., nursing staff who conduct-
ed the pain assessments may not have consistently in-
formed the physicians of the assessment results; thephysicians may have been informed but might have de-
cided to not take the pain assessment conclusions into
account). In fact, researchhas demonstrated that results
of systematic pain assessments are often not taken into
adequate consideration by prescribing practitioners
(Hadjistavropoulos, MacNab, Lints-Martindale, Martin,
& Hadjistavropoulos, 2009b).
The present investigation was designed to buildon the results of Fuchs-Lacelle et al. (2008) by ensuring
effective communication with prescribing physicians.
For this purpose, pain assessments were conducted
by nursing staff on a regular basis, and a protocol
was developed whereby pain assessment results would
be communicated to the prescribing physician in writ-
ing and by a pain champion physician who was directly
involved in this study. (See Fig. 1 for a protocol over-view.) It was expected that the direct communication
of regular pain assessment results would affect pre-
scribing practices and would result in changes in pre-
scribed medications It was also anticipated that,
consistent with Fuchs-Lacelle et al. (2008), administra-
tions of PRNmedications would also be affected as a re-
sult of systematic pain assessment.
METHODS
Using a mixed-methods research design informed by
a pragmatist philosophical stance (Greene, 2008;
Johnson & Onwuegbuzie, 2004), this study comprises
a quantitative, controlled comparison evaluation of
patient outcomes as well as a qualitative evaluation of
FIGURE 1. - Flow of study research design and methodology.
3Improving Pain in Long-term Care Facilities
staff experiences implementing the assessment
protocol. Concerning the latter, a descriptive
qualitative design and thematic analysis were utilized
(Patton, 2002, p. 55-96, 481-536; Sandelowski, 2000),
including data from both focus group and individual
interviews.
ParticipantsLong Term Care Residents. Resident participants
for this study were recruited from two comparable
LTC facilities in an urban Canadian center, one com-
prising the assessment protocol facility and the other
comprising the control facility. Both the assessment
and control facilities are located in the same geo-
graphic area, are operated by the same organization,
and meet the needs of a variety of residents includingthose diagnosed with advanced dementia and ad-
vanced medical difficulties. Prior to commencement
of the research, all appropriate institutional research
ethics approvals were obtained. Nursing staff initially
4 Hadjistavropoulos et al.
developed a list of all potential participants from
among the residents and their proxies and subse-
quently contacted these proxies via mail in order to ex-
plain the purpose of the research. Approximately two
weeks following this initial contact, study personnel
telephoned proxies to determine interest, answer
questions, and obtain consent for their relative’s datato be included in the research. Assent from residents
was sought and obtained from those who were capable
of providing it.
Consent was obtained for 36 residents residing in
the assessment facility and 29 residing in the control fa-
cility. Over the course of the study, seven participants
in the assessment facility died, and 10 participants in
the control facility passed away, leaving final samplesof 29 and 19 respectively. Demographic information
for the 64 participants enrolled in the research at base-
line is presented in Table 1. At the time of baseline, the
assessment group comprised 27 women and 9 men
(mean age ¼ 86.13, SD ¼ 9.63), and the control group
comprised 16 women and 12 men (mean age ¼ 83.33,
SD ¼ 11.43). Participants in the assessment group did
not differ from those in the control group on any of thedemographic variables including sex, age, days since
admission, or Mini-mental Status Examination
(Folstein, Folstein, & McHugh, 1975) scores. These
comparisons were conducted using either indepen-
dent samples t- or chi squared tests as appropriate.
(See Table 1.)
LTC Staff ParticipantsFocus group and interview data were collected from
staff members (employed at the assessment facility)
who were involved with the study and played signifi-
cant roles in the intervention. The sample was com-
prised of 16 women (84%) and 3 men (16%). A
variety of health care providers were interviewed in-cluding: Personal Support Workers (PSWs) (37%), Reg-
istered Practical Nurses (RPNs) (32%), Registered
Nurses (RNs) (11%), a kinesiologist (5%), a manager
(5%), and physicians (11%). The average age of
TABLE 1.
Participant Characteristics and Comparisons Among
Assessment Group
Sex 27 women; 9 men 1Mean Age (SD) 86.14 (9.63)Days Admitted* (SD) 1395.28 (967.48)MMSE Scores 12.10 (11.59)
MMSE ¼ Mini Mental Status Examination.
*Days admitted to the number of days since admission as calculated at baselin
participants was 46.5 (SD 14.6) years. The majority
of participants (63%) reported that they had received
at least some in-house training in pain management.
Although the majority of participants (84%) were
female, among managers, women accounted for 33%
and there was one female physician. The PSWs were
all female. Most PSWs had been working in LTC for 6-10 years and all PSWs had 6-10 years of experience at
their current place of employment. None of the
PSWs had previous pain management training. The
nurses (RNs and RPNs) were all female and all had 2-
5 years of experience in LTC. Most nurses said that
they had received pain management education from
their undergraduate studies. Two of the managers
had 2-5 years of experience in LTC, and one had 11-19 years of experience. Both interviewed physicians
had over 10 years of experience in LTC as well as spe-
cialized training in pain management.
MEASURES
Pain Assessment Checklist for Seniors WithLimited Ability to Communicate (PACSLAC)The PACSLAC (Fuchs-Lacelle & Hadjistavropoulos,
2004) is a 60-item observational checklist developed
to identify pain in persons with communicative
problems due to dementia. The checklist contains de-
scriptions of pain-related behaviors. The higher the
number of behavioral indicators that are present fora patient, the more likely the patient is to be experi-
encing pain. The PACSLAC has been shown to be
a valid and highly reliable tool and to contribute
unique variance over and above other pain assess-
ment measures (for seniors with dementia) in differ-
entiating pain-related from non-pain–related states
(Lints-Martindale, Hadjistavropoulos, Thorpe, & Lix,
2012; Zwakhalen, Hamers, & Berger, 2006b). Froma clinical standpoint, when used consistently by LTC
staff, the PACSLAC has been shown to lead to
improved pain management practices as well as
other positive outcomes such as reduced stress and
Assessment Protocol and Control Conditions
Control Group Comparison Statistic
6 women; 12 men c2(1, N ¼ 64) ¼ 2.28, p > .0583.33 (11.43) t(61) ¼ 1.06, p > .05
958.62 (777.57) t(59.25) ¼ 1.97, p > .057.91 (9.92) t(51) ¼ 1.37, p > .05
e.
5Improving Pain in Long-term Care Facilities
burnout among health care personnel (Fuchs-Lacelle
et al., 2008). Moreover, nurses have found it to be
more clinically useful than other observationalmethods
(Zwakhalen et al., 2006b). In addition to several reviews
of the literature having identified the PACSLAC as
a leading method (Aubin et al., 2007; Zwakhalen
et al., 2006a), a recent comparative psychometricevaluation of the leading pain assessment tools for
LTC demonstrated that the PACSLAC had the better
psychometric properties than other commonly used
tools (Lints-Martindale et al., 2012).
Medication Quantification Scale–Version IIIThe Medication Quantification Scale Version III (MQS
III) (Harden et al., 2005) is an index used to monitor
medication regimens for patients with non-malignantchronic pain. The tool takes into account drug class
(e.g., opioids, muscle relaxants), dosage, and detri-
ment of the medication (risk) whereby each pain med-
ication is given a score obtained by multiplying
a detriment weight (Harden et al., 2005) by a dosage
level (i.e., 1 ¼ subtherapeutic; 2 ¼ lower 50% of ther-
apeutic; 3 ¼ upper 50% of therapeutic; 4 ¼ suprather-
apeutic dose). The detriment weight is related to thedrug’s potential for abuse, addiction, or severity of
side effects (e.g., acetaminophen ¼ 2.2, non-steroidal
anti-inflammatory drugs ¼ 3.4). Because the sample
comprised older adults, dosage levels (e.g., subthera-
peutic, lower 50% of therapeutic) were obtained
through information specific to a geriatric population
(Semla, Beizer, & Higbee, 2011). MQS scores for each
drug a patient is taking are summed to obtain a totalscore for that patient. Separate MQS scores can also
be calculated for specific drug classes (e.g., benzodiaz-
epines). The detriment weights for the MQS were ob-
tained through a large-scale survey of the American
Pain Society membership (Harden et al., 2005) and
have been validated against a clinical pain population
(Gallizzi, Gagnon, Harden, Stanos & Khan, 2008). Inter-
rater reliability of the MQS is excellent (MastersSteedman et al., 1992). The MQS has been used with
success in previous work examining pain issues in
LTC populations (e.g., Lints-Martindale et al., 2012;
Fuchs-Lacelle et al., 2008).
Mini-Mental State ExaminationThe Mini-Mental State Examination (MMSE) (Folstein
et al., 1975) is a 30-point measure used to screen per-
sons for cognitive impairment. It comprises 11 itemsdesigned to assess orientation, registration, attention,
calculation, and language. It has been found to have ad-
equate interrater and test-retest reliabilities (usually
well above 0.80) and has been shown repeatedly to
be a valid test when used with seniors including
seniors residing in LTC facilities (Harvan & Cotter,
2006; Mitchell & Malladi, 2010; Singer & Luxenberg,
2003).
Numeric Rating Scale (NRS)A numeric rating scale (Chinball & Tait, 2001; Ferrell
et al., 1995) is a tool aimed to facilitate verbal report
of pain wherein a rating of 0 corresponds to ‘‘nopain’’ (0) and 10 corresponds to ‘‘worst pain
imaginable.’’ Many residents with dementia are able
to provide a valid self report of pain using this tool
(Ferrell et al., 1995). Although not all patients with
moderate to severe dementia are able to provide a valid
self report of their pain, especially when they have an
MMSE score of 13 or lower, recent practice guidelines
for assessing pain in this population indicate that selfreport should be attempted with all patients
(Hadjistavropoulos, Dever Fitzgerald, & Marchildon,
2010; Herr et al., 2011).
PROCEDURE
The flow of the research is presented in Figure 1. As in-
dicated in the Figure, following informed consent pro-
cedures (see above section, Participants), researchassistants first administered the MMSE to the partici-
pants. (See Table 1.) Pain assessments (i.e., using the
PACSLAC and NRS) were conducted for the assessment
and control facilities during a baseline period (three as-
sessments over one week) and during a follow-up pe-
riod (three assessments over one week) occurring
threemonths after the assessment protocol. At baseline
and follow up, residents were assessed for pain as fol-lows: (a) once in the morning since that is when pain
isoftenworse for residents; (b)onceduring apotentially
painful, naturally-occurring event (e.g., transfer from
bed to chair, range of motion exercises); and (c) once
at rest in the afternoon. The length of the observation
periodwas about 15minutes for each resident. In order
to assess residents’ ability to complete the NRS, first the
NRS was explained to them. Prior to asking residents torate their ‘‘current pain’’ at rest or during activity, as per
Scherder and Bouma (2000), each resident’s ability to
comprehend the scale was evaluated via standardized
basic questions (e.g., ‘‘What number would you pick if
your pain was extremely severe’’). The goal was to ap-
proximate equal average time periods for both the as-
sessment and control facilities for the time between
baseline and followup,which resulted in a sevenmonthperiod (7.78months for the assessment facility and 6.47
months for the control facility).
Two chart reviewswere conducted for eachpartic-
ipant in both facilities. These chart reviewswere for the
two months prior to the assessment protocol period
6 Hadjistavropoulos et al.
and for the twomonths following the assessment proto-
col. The purpose of the chart reviews was to gather in-
formation about the patients’ pain-related and other
medications, diagnoses, and demographics including
age, sex, and number of days in LTC.
Assessment FacilityIn addition to the assessment conducted to facilitate
clinical decisions by research personnel, nurses fromthe assessment facility received an introduction to
pain assessment procedures. Included was continuing
education regarding the administration, scoring, and in-
terpretation of pain assessment measures (i.e., the PAC-
SLAC and the NRS) during group lunch and learn
sessions. In total, three of these lunch sessions occurred
in the assessment facility. Subsequently, nurses provid-
ing care to participating patients completed the PAC-SLAC and NRS over a period of approximately 4
months (average length ¼ 4.2 months, SD ¼ 1.67).
Nurses were asked to complete these assessments on
a regular basis, ideally two to three times a week. In ac-
tual practice, the number of assessments administered
for each patient varied (average of 14.09 administra-
tions per patient [SD¼ 7.33]). In addition, research per-
sonnel completed the PACSLAC andNRS for residents inthe assessment facility on a once-weekly basis for the
duration of the assessment protocol. The purpose of
the assessments by research personnel was to facilitate
clinical decision making. (Summaries of all assessment
results were sent to the residents’ physicians.)
At the commencement of the research, physicians
treating the participating patients were sent a letter
outlining the purpose of the study and procedures bythe study physician collaborating on this research. Ad-
ditionally, the physicians were sent weekly pain score
summaries (i.e, including research personnel as well
as nurse assessments) compiled by research personnel
for each of their residents who were participating in
the study. At the same time, physicians were informed
about residents who had sustained elevated pain
scores over the course of one or more weeks duringthe assessment period. The study physician (who has
a special interest in pain management) was positioned
as a mentor and resource to the other physicians and
collaborated with them to help make decisions about
treatment plans with reference to the assessment
scores. These decisions were guided by the American
Medical Directors Association (2004, p. 15-31) clinical
practice guidelines on pain management in LTC. Thestudy physician had periodic contact throughout the
project with the physicians of intervention group par-
ticipants to discuss treatment plans and pain scores.
No contact was made with the physicians of control
group participants. Often these discussions resulted
in more conversations with the nursing staff to gather
more information about the resident, evaluate effec-
tiveness of interventions aimed to reduce sustained el-
evated pain levels and side effects of medications, and
if needed, modify approach to managing pain.
Control FacilityParticipants in the control facility received treatmentas usual during the course of the study.
Focus Groups and InterviewsIn total, three focus groups were held at the assess-
ment site, one with managers (n ¼ 4), one with regis-
tered nursing staff (n ¼ 6), and one with PSWs (n ¼ 7).
In addition, two semi-structured interviews were con-
ducted with facility physicians. Participants wereprompted to give feedback about the intervention
strategy and how it facilitated communication about
resident pain in order to improve pain management
in LTC. (Interview guide is available upon request.) In-
terviews and focus groups were recorded and later
transcribed. Member checking occurred in focus
groups and after interviews (Crabtree & Miller, 1999,
p. 109-124, 308-309). Participants were also providedwith summary notes in order to ensure that the data re-
flected what they intended to say.
RESULTS
Effect on Medication Quantification ScaleThe numbers of prescribed medications across several
categories are presented in Table 2, as are the mean
MQS scores. In order to determine whether the assess-ment protocol affected medication administration and
prescription patterns, two 2 � 2 (pre vs. post protocol
� assessment vs. control group) Analyses of Variance
(ANOVA) were conducted with the dependent vari-
ables comprising separate Total MQS scores for regu-
larly scheduled pain-related medications (as listed in
the MQS-III documents) and PRN pain-related medica-
tions. Means and standard deviations are presented inTable 2. With regards to regularly scheduled medica-
tions, a significant interaction was found (F1, 45 ¼3.92, p ¼ .05) as well as a significant main effect for
condition (F1, 45 ¼ 4.75, p < .05). Follow-up compari-
sons using Tukey’s HSD test indicated that although
control participants had significantly higher Total
MQS scores than assessment participants at baseline
(HSD¼ 2.86; q(.05, 47, 2)¼ 9.71 as well as post interven-tion, HSD ¼ 2.86; q(.05, 47, 2) ¼ 15.42), there was also
a significant increase in MQS scores for the control
(but not for the assessment) facility from pre- to post-
intervention (HSD ¼ 2.86; q(.05, 47, 2) ¼ 5.05). The
MQS score increase over time was not observed for
TABLE2.
NumberofMedicationsPrescribedandMedicationQuantificationScale
(MQS)Scores
NumberofMedicationsPrescribed
MQSScores
AssessmentGroupMean(SD)
ControlGroupMean(SD)
AssessmentGroupMean(SD)
ControlGroupMean(SD)
Pre-
assessment
Post-
assessment
Pre-
assessment
Post-
assessment
Pre-
assessment
Post-
assessment
Pre-
assessment
Post-
assessment
MQS(allpain
medications)Regular
2.32(1.56)
2.23(1.89)
2.75(1.83)
2.95(1.90)
11.96(8.51)
11.52(9.21)
17.56(11.29)20.44(16.09)*
PRN
.48(.77)
.42(.99)
.60(.75)
.55(.69)
4.22(8.64)
2.74(7.24)
3.17(4.83)
2.39(3.31)
Benzo
diaze
pine
Regular
.22(.51)
.15(.46)
.22(.55)
.44(.92)
1.78(4.05)
1.19(3.65)
1.56(3.67)
3.56(7.37)†
Antidepressant
Regular
.50(.68)
.57(.68)
.85(.75)
1.00(.73)
1.86(2.56)
2.07(2.64)
4.10(3.70)
4.06(3.31)‡
Antipsychotic
Regular
.30(.47)
.26(.53)
.39(.50)
.33(.59)
1.93(3.40)
1.63(3.19)
2.67(3.63)
2.44(4.58)
Acetaminophen
Regular
.41(.50)
.41(.50)
.50(.62)
.56(.51)
2.37(2.94)
2.37(2.94)
3.00(3.71)
3.22(3.00)
NSAID
Regular
.33(.48)
.33(.48)
.44(.51)
.44(.51)
2.11(3.09)
2.00(2.88)
2.67(3.07)
2.66(3.07)
Opiate
Regular
.19(.56)
.22(.51)
.17(.38)
.11(.32)
1.37(4.60)
1.56(4.35)
1.00(2.52)
.50(1.54)
MQS¼
MedicationQuantificationScale;NSAID
¼nonsteroidalanti-inflammatory
drug;PRN
¼pro
renata.
*Significantinteractionandsignificantmain
effectforinterventiontype,p¼
.05.
†Significantinteractionp¼
.05.
‡Significantmain
effectofinterventiontype,p<
.05.
7Improving Pain in Long-term Care Facilities
the assessment facility. No significant main effects or
interactions were found for PRN medications. Given
the difference in baseline, a similar analysis involving
difference scores and thus controlling for the baseline
difference was conducted. The main conclusions of
the two analyses were the same. That is, even when
the baseline difference is controlled for, the controlgroup received more regularly scheduled medication
post intervention than the experimental group.
In order to examine which medications were con-
tributing primarily to the significant interaction and
group differences found in the previous analysis regard-
ing regularly scheduled medications, each MQS medica-
tion category was considered separately, Specifically,
a series of 2 � 2 (pre vs. post � assessment vs. control)ANOVAs for each class of medication that had sufficient
data (e.g., some medication classes were administered
very rarely) to run the analysis (i.e., wherein participants
from the assessment and control conditions were pre-
scribed medications before and after the treatment)
was conducted. ANOVAswere run for the following clas-
ses: (1) acetaminophen, (2) antipsychotics, (3) antide-
pressants, (4) benzodiazepines, (5) non-steroidal anti-inflammatory drugs, and (6) opioids. Therewas a signifi-
cant interaction for benzodiazepine medications (F1, 48¼ 4.03, p ¼ .05). Follow-up comparisons using Tukey’s
HSD test indicated a significant increase inMQSbenzodi-
azepine scores for the control facility from pre to post
(HSD ¼ 2.86; q(.05, 50, 2) ¼ 5.15). Also, control partici-
pants had significantly higher benzodiazepine MQS
scores than intervention participants at follow up(HSD ¼ 2.86; q(.05, 50, 2) ¼ 5.65) although the groups
did not differ at baseline. There was also a significant
main effect for antidepressant medication for condition,
F1, 47 ¼ 8.70, p < .05. Follow-up comparisons using Tu-
key’s HSD test indicated that participants from the con-
trol condition had significantly higher scores at
baseline (HSD ¼ 2.86; q(.05, 49, 2) ¼ 9.7) and at follow
up (HSD ¼ 2.86; q(.05, 49, 2) ¼ 11.0). No other resultswere significant. The finding concerning the group dif-
ference in antidepressants (but not benzodiazepines)
at baseline helps explain why the two groups differed
with respect to overall MSQ scores at baseline. The anti-
depressants remained unchanged over the period of the
study whereas the interaction effect involving benzodi-
azepines can be attributed to the assessment protocol
as the two groups did not differ at baseline with respectto benzodiazepines. (See discussion section.)
PACSLAC and NRS RatingsMean scores for the before and after the intervention
for the PACSLAC and NRS are presented in Table 3.
In order to determine whether PACSLAC scores
were affected as a result of the assessment protocol
TABLE 3.
Pain Ratings Before, During, and After Assessment Protocol
Preassessment Protocol Postassessment Protocol
PACSLACIntervention group 4.23 (2.03) 4.35 (3.02)Control group 3.98 (1.28) 3.55 (1.28)
NRSIntervention group 2.94 (2.35) 1.60 (2.00)Control group 2.81 (2.54) 1.58 (2.75)
PACSLAC ¼ Pain Assessment Checklist for Seniors with Limited Ability to Communicate; NRS ¼ Numeric Rating Scale.
8 Hadjistavropoulos et al.
implementation, a 2 (preassessment period, postas-
sessment period) � 2 (assessment vs. control group
mixed) factorial ANOVA, wherein the dependent vari-
able was the PACSLAC average scores, was conducted.Results of the ANOVA indicated no significant main ef-
fects or interactions.
Concerning the NRS, it is important to note that
although self report of pain levels was attempted
with each participant throughout the research, given
the average MMSE scores at baseline, the validity of
their ratings is questionable. Moreover, because most
participants were unable to provide a self-report rat-ing, these results are further confounded by lack of
power. A 2 (preassessment period and postassessment
period) � 2 (assessment vs. control group) mixed fac-
torial ANOVA, wherein the dependent variable was the
NRS average scores, was conducted. Results of the AN-
OVA indicated a main effect of time (F1, 21 ¼ 5.78, p ¼.026) with scores decreasing over time for both facili-
ties. No other effects were significant.
QUALITATIVE FINDINGS
OverviewGenerally, nursing staff were positive about the pain as-
sessment program, believing it to be of benefit in im-
proving quality of care. The assessment protocol
facilitated more awareness of resident pain and im-
proved communication within the health care team, in-
cluding with physicians, which seemed to have
resulted in changes in prescribing practices. However,
a number of implementation barriers existed for the as-sessment protocol, primarily related to lack of time and
staff available to complete the PACSLAC. Still, staff and
managers drew on facilitators to help improve the im-
plementation process.
Benefits of Participating in Pain AssessmentInterventionParticipants stated that the pain assessment protocol
allowed for improved ability to assess resident pain.
Specifically, the protocol encouraged staff, including
physicians, to be more deliberate about assessing
pain. A licensed nurse stated, ‘‘Doctors would come
and ask, ‘How is so and so doing?’.they would followup. And because of the study we had to be more alert,
more aware of their [residents’] pain.’’
Moreover, the PACSLAC helped implement regular
monitoring of pain, which, in turn, led to more aware-
ness about pain within the healthcare team. In some
cases, the PACSLAC helped staff discriminate the pres-
ence of pain from other conditions, such as delirium or
dementia, as one PSW elaborated: ‘‘It [PACSLAC] wasa very good tool because there are times when we
might think that a resident has a behavioral problem
when that person is really in pain. So after doing those
checks and it’s assessed, you realize that it’s really not
a responsive behavior—it’s pain.’’
PSWs spoke favorably about their role in assessing
pain using the PACSLAC, noting that involvement in
pain assessment led to more awareness about the resi-dents’ care, more engagement in pain management,
and a greater sense of empowerment. Licensed nurses
also appreciated the PSW role in completing the PAC-
SLAC and reporting pain scores since they did not
always have time to do so. A PSW stated, ‘‘It [PACSLAC]
can give you specific things to chart about, specific
indicators of pain so when you’re communicating to
the registered staff you can report specific indicators.’’One of the main benefits that participants de-
scribed was improved communication among team
members regarding pain management. They stated
that using the PACSLAC provided a clear and objective
means of communication among staff between PSWs
and licensed nurses and also with physicians, resulting
in improved problem solving for challenging pain situ-
ations, as a registered nurse described: ‘‘When we didnot have that tool, basically wewere just writing things
for the doctor. When we started using the pain tool,
the doctor became more aware, not just about giving
medication but becoming more open in discussion be-
cause the major concern is the patient’s overall health.
9Improving Pain in Long-term Care Facilities
Right? And then when we started looking, what could
be the cause of the pain or what could be behind this.’’
Physicians appreciated being informed from both
study personnel and LTC nurses about residents who
had sustained elevated pain scores. As one physician
stated, ‘‘I have to rely on people telling me that resi-
dents are having pain since I see them for maybe 5or 10 minutes at the most, and I can’t see them every
day; I try to see them twice a month.’’ Often, when phy-
sicians were informed about a resident’s sustained ele-
vated pain level, they would reassess current
interventions being implemented for pain relief and/
or order pain medication. Moreover, staff noted that
since the onset of the study, they engaged in more crit-
ical thinking about the medications residents were pre-scribed and utilized a holistic approach to assessment,
often re-evaluating current treatments. For instance,
a licensed nurse stated, ‘‘Before we would just give
medication, and didn’t know what kind of medication
we were giving them; the pills were just pills.’’ Another
nurse stated that, ‘‘Since using the tool [PACSLAC] I
started thinking the medication they [residents] are
on is making them sleepy.before it’s just assumedthey were getting medication that’s good for them
and don’t realize before it might be too much for
them.then we do a chart check.[and we realized]
if they are still complaining of pain they are not being
given the proper medication.’’
Nurses noted that during the study they noticed
the physicians becoming more aware about resident
pain and ‘‘cutting down on some of the medications.’’Prior to the study, residents would ‘‘stay on that medi-
cation forever and become dependent on it,’’ but after
the study was initiated, physicians would ‘‘put a time
limit on medications’’ and then reassess effectiveness.
As noted by one nurse, physician interactions were
‘‘not just about giving medication.they started look-
ing at what could be the cause of the pain or depres-
sion.not just pain, maybe there’s something elsebehind this [behavior].’’ Participants noted positive
changes in residents after the pain assessment protocol
was initiated, which motivated staff to continue with
it. For example, one PSW stated: ‘‘In my case, there
was this particular resident who was quite agitated
and really behaving and you’d think that’s a behavior,
but then when we used the pain tool, she was really
in pain, and then she was tested and had a urinary tractinfection..that was a very good tool [PACSLAC], very
helpful.’’ Other staff noted more generalized improve-
ments in residents’ behaviors, stating, ‘‘some of the res-
idents who were aggressive before kind of calmed
down; they’re not as aggressive as they were, so I’ve
noticed that a lot.’’
Challenges, Facilitators, and Strategies toImprove the Implementation of the PainAssessment InterventionParticipants identified a number of challenges imple-menting the pain assessment protocol primarily re-
lated to time constraints and a lack of staff available
to complete the pain assessments. A manager high-
lighted: ‘‘They have to fill out 6 binders at the end of
their shift, with flow sheets, resident documentation,
communication, and everything else. So, imagine you
coming in with another piece of paper all of sudden
to say we want to do that. So, incorporating some ofthe portions in some of the work they already do
would be very beneficial.’’
Initially, PSWs were slow to complete the pain as-
sessments and organize their time to accommodate
this extra task. A manager described: ‘‘Because it’s
not required, like it’s not part of their job routine, so
it was very difficult to convince those people that
were just like, ‘This is extra work.’ Unless I was thereat the end of the shift to follow up, it was not going
to happen.’’
However, once more coaching was provided by
research staff and managers, most of the PSWs adopted
using the PACSLAC into their routine practice. A man-
ager described her strategy: ‘‘We needed to figure out
a way to roll it out with the staff that would make it do-
able, and then from there, I was an encourager to makesure it was getting done and always dialogue with the
staff to find out why they can’t get it done and try to
figure out different ways with the rest of the manage-
ment team as to how to get it done and keep them
engaged and doing it. And we found just being on
them- that was the best way to get it done.’’
Despite these challenges to implementation,
a number of facilitators were also identified. A numberof staff stated that the in-service training at the begin-
ning of the intervention period was very helpful,
although additional training throughout the implemen-
tation period was needed, especially for the PSWs. A
PSW suggested, ‘‘Maybe having a case study where
you show a picture or video of a resident in pain and
then use the checklist and say, ‘What are you observ-
ing,’ just to show how to use the tool.’’The support of administration in implementing
the pain assessment protocol was a key facilitator
through, for example, including PACSLAC completion
in staff incentive programs an administrator stated: ‘‘I
think our incentive program is quite unique that we re-
ward staff that we call, ‘Passport to Success’. You in-
centivize people who are going above and beyond
their day-to-day work doing various tasks. Whetherthey are volunteering after a shift and get 10 points,
10 Hadjistavropoulos et al.
or we have meetings that they attend which we call
weekly home attending meetings, so we require a little
bit more of them compared to the normal day where
we incentivize. So, even this pain study, because I
felt it was important and was something we were do-
ing to benefit the residents overall, but at the same
time it requires a little extra time; we all know that.’’
DISCUSSION
Perhaps the most significant finding in this investiga-
tion was that, at the end of the study, patients in the as-
sessment condition were receiving considerably lower
amounts of regularly scheduled benzodiazepine medi-
cation as compared to patients in the control condition
although the pain levels were comparable in the two
groups. In other words, it appears that regular pain as-sessment and communication with physicians in this
study helped reduce polypharmacy and particularly
the use of benzodiazepine medications which can
have serious side effects for older adults who reside
in LTC. The results of the qualitative analysis facilitate
interpretation of this finding. Specifically, staff re-
ported that, prior to the assessment protocol imple-
mentation, patients may have been overmedicatedand that repeatedly low scores on the PACSLAC might
have prompted physicians to re-evaluate patients’ med-
ication schedules, which could partially account for
the group differences in medications. Further, partici-
pants reported that when pain was identified, the
care team sought to find underlying causes, such as in-
fection, and provided appropriate treatment to resolve
the issue. This may have also contributed to avoidanceof unnecessary medication over the course of the
study. Resolution of medical issues and pain may
have further resulted in amelioration of behavioral dis-
turbance, potentially accounting for the group differ-
ence in benzodiazepines specifically.
Results of the qualitative component of this re-
search were consistent with the idea that administra-
tion of an observational pain assessment toolfacilitated not only better recognition of pain but also
communication with the physicians which would ex-
plain the differences in the pattern of prescribed med-
ications between the two groups. Given the
complexities involved in pain-management decision
making in LTC (Kaasalainen et al., 2007), the results
demonstrate that the implementation of a protocol
for systematically communicating assessment resultsto physicians of LTC patients is essential for improving
pain management practices. The approach, used in
this investigation, also involved interaction of the pa-
tients’ physicians with a study physician because previ-
ous research has shown that merely communicating
pain assessment results in writing was ineffective in af-
fecting prescribing practices (Hadjistavropoulos et al.,
2009b).
A previous related investigation (Fuchs-Lacelle
et al., 2008) did not involve a specific protocol for
communicating assessment results to physicians, and
consequently, no effect on regularly scheduled medica-tions was found (although there was an impact on ad-
ministration of PRN medications). In the present study,
regular administration of the PACSLAC was not found
to have an effect on PRN medication administration
probably because the nursing staff, due to this study’s
communication protocol, relied more on the physi-
cians for changes in medications. Future research
could focus more on the development of assessmentprotocols designed to improve PRN and regularly-
scheduled medication administrations simultaneously.
LimitationsThe findings are based on a relatively small sample size.
While the effect of benzodiazepine medications was
large enough to be identifiable with this sample size,
it is possible that a larger group might have yielded ad-
ditional differences in clinical practices. Additional re-
search in this area should be encouraged in order toaddress this possibility.
It is also noted that the initial list of all potentially
eligible participants was prepared by nursing staff. Al-
though the nurses were asked to list all eligible partic-
ipants, the possibility of some sampling bias cannot be
completely ruled out. As such, it would be important
for future research to examine the generalizability of
the results reported herein.The study results support the idea that the com-
munication with the prescribing physicians led to a re-
duction in the use of benzodiazepines. The assessment
results (e.g., based on the PACSLAC) were part of this
communication. This design does not allow for defini-
tive determination as to whether the specific assess-
ment tools made a unique contribution to this
communication. Nonetheless, it is expected that thefindings are not specific to the PACSLAC and that sim-
ilar results would be obtained with other well-validated
pain assessment tools. This expectation, however, is
awaiting confirmation from future research.
It is also noted that the PACSLAC is a checklist that
includes 60 items. Although inprevious research, nurses
found the PACSLAC to be more clinically useful than
briefer scales (Zwakhalen et al.,2006b), the scale’slengthmay be perceived as an obstacle in some settings.
As such, a revised version of the PACSLAC, the PACSLAC-
II, was developed and validated recently (Chan &
Hadjistavropoulos, 2013; Chan, Hadjistavropoulos,
Williams, & Lints-Martindale, 2013). The PACSLAC-II
11Improving Pain in Long-term Care Facilities
has excellent psychometric properties and contains ap-
proximately half as many items as the original PACSLAC.
ConclusionsThe study reported herein adds to a corpus of work
(Fuchs-Lacelle et al., 2008) that illustrates the clinical
utility of regular pain assessment in LTC settings. Givensuch positive findings, it is imperative that professional
staff be educated (Ghandehari et al., 2013; Gagnon,
Hadjistavropoulos, & Williams, in press) in pain
assessment procedures for persons with dementia in
order to help address complex clinical challenges
relating to pain in this population (Hadjistavropoulos,
Hunter, & Dever Fitzgerald, 2009c) . While implemen-
tation of large assessment programs can be resource
intensive, at least one pain assessment and manage-
ment program has been proposed that takes limitations
of resource realities into account (Hadjistavropoulos
et al., 2009a) and seems to have support of both front
line and management staff (Hadjistavropoulos et al.,2011).
Acknowledgments
This study was supported, in part, through funding from the
Saskatchewan Health Research Foundation.
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