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Effect of animal-assisted interventions on depression, agitation and quality of life in nursing home residents suffering from cognitive impairment or dementia: A cluster randomized controlled trial

Authors:
  • Norwegian Centre of Anthrozoology

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Objectives: The prevalence of neuropsychiatric symptoms in cognitively impaired nursing home residents is known to be very high, with depression and agitation being the most common symptoms. The possible effects of a 12-week intervention with animal-assisted activities (AAA) in nursing homes were studied. The primary outcomes related to depression, agitation and quality of life (QoL). Method: A prospective, cluster randomized multicentre trial with a follow-up measurement 3 months after end of intervention was used. Inclusion criteria were men and women aged 65 years or older, with a diagnosis of dementia or having a cognitive deficit. Ten nursing homes were randomized to either AAA with a dog or a control group with treatment as usual. In total, 58 participants were recruited: 28 in the intervention group and 30 in the control group. The intervention consisted of a 30-min session with AAA twice weekly for 12 weeks in groups of three to six participants, led by a qualified dog handler. Norwegian versions of the Cornell Scale for Depression, the Brief Agitation Rating Scale and the Quality of Life in Late-stage Dementia scale were used. Results: A significant effect on depression and QoL was found for participants with severe dementia at follow-up. For QoL, a significant effect of AAA was also found immediately after the intervention. No effects on agitation were found. Conclusions: Animal-assisted activities may have a positive effect on symptoms of depression and QoL in older people with dementia, especially those in a late stage.
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Effect of animal-assisted interventions on depression,
agitation and quality of life in nursing home residents
suffering from cognitive impairmen t or dementia: a cluster
randomized controlled trial
Christine Olsen
1
, Ingeborg Pedersen
1
, Astrid Bergland
2
, Marie-José Enders-Slegers
3
, Grete Patil
1
and
Camilla Ihlebæk
1,4
1
Section for Public Health Science, Department of Landscape Architecture and Spatial Planning, Norwegian University of Life Sciences, Ås,
Norway
2
Faculty of Health Sciences, Oslo and Akershus University College, Oslo, Norway
3
Psychology and Educational Sciences, Open University of the Netherlands, Heerlen, The Netherlands
4
Faculty of Health and Social Work Studies, Østfold University College, Fredrikstad, Norway
Correspondence to: C. Olsen, E-mail: christine.olsen@nmbu.no
Objectives:
The prevalence of neuropsychiatric symptoms in cognitively impaired nursing home resi-
dents is known to be very high, with depression and agitation being the most common symptoms.
The possible effects of a 12-week intervention with animal-assisted activities (AAA) in nursing homes
were studied. The primary outcomes related to depression, agitation and quality of life (QoL).
Method: A prospective, cluster randomized multicentre trial with a follow-up measurement 3 months
after end of intervention was used. Inclusion criteria were men and women aged 65 years or older, with
a diagnosis of dementia or having a cognitive decit. Ten nursing homes were randomized to either
AAA with a dog or a control group with treatment as usual. In total, 58 participants were recruited:
28 in the intervention group and 30 in the control group. The intervention consisted of a 30-min
session with AAA twice weekly for 12 weeks in groups of three to six participants, led by a qualied
dog handler. Norwegian versions of the Cornell Scale for Depression, the Brief Agitation Rating Scale
and the Quality of Life in Late-stage Dementia scale were used.
Results: A signicant effect on depression and QoL was found for participants with severe dementia at
follow-up. For QoL, a signicant effect of AAA was also found immediately after the intervention. No
effects on agitation were found.
Conclusions: Animal-assisted activities may have a positive effect on symptoms of depression and QoL
in older people with dementia, especially those in a late stage.
Key words: dementia; neuropsychiatric symptoms; depression; agitation; quality of life; non-pharmacological interventions;
animal-assisted interventions
History: Received 06 July 2015; Accepted 23 December 2015; Published online in Wiley Online Library (wileyonlinelibrary.
com)
DOI: 10.1002/gps.4436
Introduction
Dementia is among the leading causes of disability and
death in the elderly (Lobo et al., 2000). Approximately
80% of nursing home residents in Norway suffer from
dementia (Selbæk et al., 2007b), and dementia is the
most common main diagnosis in the nursing home
population in Norway (Nygaard, 2002). In older adults
with a neurodegenerative form of dementia, ongoing de-
generation of brain tissue eventually leads to a loss of
cognitive and physical functions (McKhann et al., 1984;
van Iersel et al., 2004). In addition to impaired cognition,
neuropsychiatric symptoms (NPS) such as apathy,
depressive symptoms, anxiety, agitation, restlessness
Copyright # 2016 John Wiley & Sons, Ltd. Int J Geriatr Psychiatry 2016
RESEARCH ARTICLE
and wandering are common symptoms (Selbæk, 2005;
Selbæk et al., 2007a).
The prevalence of NPS in patients with dementia
has been reported as very high. For example, following
a 2-year longitudinal study, Aalten et al. (2005) found
that 95% of the patients developed one or more NPS.
Lyketsos et al. (2002) found that 75% of the patients
with dementia in their study population had experi-
enced NPS in the preceding month and 55% reported
having two or more symptoms. A recent Norwegian
study found a 31% prevalence of depression among
recently admitted long-term care patients (Iden et al.,
2014). NPS affect patients quality of life (QoL)
(Beerens et al., 2013; Mjørud et al., 2014b), and low
QoL is associated with impaired mobility, lack of
social activities and low performance in activities relat-
ing to daily living (Nagatomo et al., 1997; Barca et al.,
2011; Telenius et al., 2013; Mjørud et al., 2014a).
As population ages, health care and social services
face increased demands to provide services for older
people with dementia or cognitive impairment.
Because there is no cure for dementia (Geldmacher
et al., 2006), there is a need for new and innovative
approaches to complement traditional health care.
Medication for NPS is commonly used, but most of
the medicines have major physical and mental side
effects such as abnormal liver function, heart defects,
gastrointestinal problems, apathy, ataxia, restlessness
and insomnia (Tripathi and Vibha, 2010). The nding
of Iden et al. (2014) that antidepressants had been
prescribed for 44% of their study participants indi-
cates extensive use. Little is known about the efcacy
and safety of antidepressant medication when used
to treat symptoms of agitation and psychosis (Seitz
et al., 2011). Therefore, it has been suggested that
non-pharmacological interventions should be imple-
mented on a larger scale in nursing homes (Douglas
et al., 2004; Iden et al., 2014).
Several non-pharmacological alternatives and
complementary treatments have evolved, including
animal-assisted interventions (AAI). The International
Association of HumanAnimal Interaction Organiza-
tions (IAHAIO, 2014) denes AAI as a goal oriented
and structured intervention that intentionally includes
or incorporates animals in health, education and hu-
man service for the purpose of therapeutic gains in
humans. Animal-assisted activities (AAA) are a form
of AAI whereby companion animals are taken by their
human handlers to visit nursing homes for meet and
greet activities with residents.
Previous studies have shown mixed results regarding
the effectiveness of AAI on depression, agitation and
QoL for dementia patients (Richeson, 2003; Mossello
et al., 2011; Majic et al., 2013; Nordgren and Engstrom,
2014a, 2014b; Friedmann et al., 2015; Thodberg et al.,
2015). Further, much of the research on AAI and
dementia to date has lacked adequate study designs for
investigating the effects of interventions, and because
of the limited use of control groups and follow-up mea-
sures, the conclusions are disputable. For this reason,
the aim of this study was to examine the possible effects
on depression, agitation and QoL in nursing home res-
idents with dementia or cognitive impairment, through
an intervention with AAA and a follow-up study.
Methods
Design
The study was conducted in Norway as a prospective
and cluster randomized multicentre 12-week trial with
a 3-month follow-up. Computer-generated random
numbers were used to randomize nursing home units
to either an AAA group with a dog or to a control
group with treatment as usual. The study was regis-
tered by ClinicalTrials.gov (identier: NCT02008630).
Data collection was carried out at baseline before
the intervention started (T
0
), when nishing the inter-
vention after 12 weeks (T
1
), and at follow-up 3 months
after the intervention had ended (T
2
).
Participants and recruitment
Of 90 eligible nursing homes in three Norwegian
counties, 10 adapted units for residents with dementia
agreed to participate in the project (Figure 1). The
nursing homes included in the study had to provide
the facilities required to carry out the interventions.
They also had to abstain from any dog-visiting activi-
ties for 3 months prior to the intervention, as well as
during the whole intervention period from T
0
to T
2
.
The health personnel in the nursing homes were
asked to recruit between ve and eight participants
each. The inclusion criteria were as follows: aged
65 years or older and having dementia or a cognitive
decit score of less than 25 on the mini-mental state
examination test (Folstein et al., 1975; Strobel and
Engedal, 2009). The exclusion criteria were nursing
home residents with fear of dogs or with a dog allergy.
Of 130 eligible patients in the 10 units, 58 patients
(45%) agreed to participate; seven patients (12%) died
during the study period and were subsequently ex-
cluded from the study. Thus, the study population
consisted of 51 participants. Three participants
dropped out of the study after baseline data were
2 C. Olsen et al.
Copyright # 2016 John Wiley & Sons, Ltd. Int J Geriatr Psychiatry 2016
collected but were included in the study population
(Figure 1).
The study was conducted during winter spring
2013 (n = 12), autumnwinter 2013 (n = 22) and
springsummer 2014 (n = 24).
Intervention and intervention content
A protocol was developed by the project group to stan-
dardize the AAA intervention across different units
and dog handlers. The intervention consisted of a
30-min session with AAA twice weekly for 12weeks
in groups of three to six participants. The AAA
sessions were led by a qualied dog handler.
For each session, the participants were randomly
seated in a half-circle. Each session started with a
greeting round, when each participant had the opportu-
nity to pet the dog and feed it treats. Thereafter, the han-
dler started the different activities, which included any
of the following: petting the dog, feeding the dog a treat
and throwing a toy for the dog to fetch. All activities
were supposed to follow the protocol but should be in-
dividually tailored to each participant based on the
health personnels knowledge of the participant. How-
ever, no activities were mandatory, and the sessions
therefore included activities that occurred between the
participants and between each participant and the dog.
The control groups were not offered any new
activities, and their treatment continued as usual, in-
cluding diverse group activities such as reminiscence,
music therapy, sensory garden, singing, exercise,
cooking and handicrafts.
Figure 1 Consort ow diagram of participants.
3Animal-assisted interventions for dementia patients
Copyright # 2016 John Wiley & Sons, Ltd. Int J Geriatr Psychiatry 2016
Dogs and their handlers
Both dogs and their handlers were carefully selected
for their suitability to work with AAIs. The dogs had
to take and pass a mentality test containing different
elements with respect to, for example, aggressiveness,
sociability, anxiety and handling. Similarly, their han-
dlers completed at least one course in AAIs for visiting
dogs. To enhance the similarity between the 10 units,
all handlers were informed about the protocol for
the sessions both verbally and in writing.
All handlers, except one, had either a theoretical or
practical background in health care or biological
science.
Assessments and procedures for data collection
The instruments used in the study have all been tested
for their validity and reliability and have been designed
and/or are commonly used for older people with
dementia. Prior to the start of the project, two health
professionals from each nursing home unit attended
lectures with instructions on how to use the instru-
ments. They later scored all assessments at all three
time points (T
0
,T
1
and T
2
).
Depression was measured using the Cornell Scale
for Depression in Dementia (CSDD) (Alexopoulos
et al., 1988; Barca et al., 2010); a validated Norwegian
version was used (Korner et al., 2006). The scale
contains 19 symptoms of depression in ve domains
(mood-related signs, behavioural disturbance, physical
signs, cyclic functions and ideational disturbance). Each
item is rated on a scale from absent, mild/intermittent
to severe, with a sum score ranging from 0 to 38
(Cronbachs alpha=0.74). A sum score below 6 indi-
cates the absence of depressive symptoms, scores above
10 indicate probable major depression and scores above
18 indicate denite major depression (Alexopoulus
et al., 1988).
Agitation and restlessness were measured using the
Brief Agitation Rating Scale (BARS) (Finkel et al.,
1993), derived from the 29-item Cohen-Manseld
Agitation Inventory (Cohen-Manseld et al., 1989).
The BARS is used to assess the presence and severity
of physically aggressive, physically non-aggressive and
verbally agitated behaviours in older nursing home
residents. It is a seven-level scale of frequency from 1
(never)to7(a few times per hour or continuously for
half an hour or more). The validated Norwegian
version of the instrument (Swift et al., 2002; Sommer
and Engedal, 2011) is a nine-item inventory with a
sum score ranging from 9 to 63 (Cronbachs
alpha = 0.76), where a high score indicates higher fre-
quency of agitated behaviour.
Quality of life was measured using the validated
Norwegian version of Quality of Life in Late-stage
Dementia (QUALID) (Weiner et al., 2000; Røen
et al., 2015). The scale consists of 11 items with a pos-
sible score of 15 on each item. The items are rated by
frequency of occurrence, comprising both positive and
negative dimensions of concrete and observable mood
and performance. Scores are summed to range from
11 to 55 (Cronbachs alpha = 0.79). A low score indi-
cates a high QoL.
The Clinical Dementia Rating Scale (CDR) is a 5-
point scale used to assess six domains of cognitive and
functional performance-applicable dementia (Hughes
et al., 1982; Engedal and Haugen, 1993; Nygaard and
Ruths, 2003). CDR staging is a valid substitute for a de-
mentia assessment among nursing home residents to de-
termine the severity of dementia (Engedal and Haugen,
1993; Nygaard and Ruths, 2003). A CDR of 0 implies
no cognitive impairment,0.5very mild dementia,1mild
dementia,2moderate dementia and 3 severe dementia.
The study participants sociodemographic charac-
teristics on age, gender, education, use of walking aids,
social contact, hobbies and animal contact were col-
lected at baseline (Table 1).
Ethics
The project was performed in accordance with the
Helsinki Declaration and the Regional Committee
for Medical and Health Research Ethics approved the
project. Nursing staff at each participating nursing
home allocated eligible participants, provided infor-
mation about the study and obtained written consent.
Written and verbal information about the study was
given to the patients and their relatives by the primary
caregiver. A procedure was developed for health per-
sonnel to evaluate the participants cognitive capacity
to give informed written consent. Those with suf-
cient cognitive capacity were informed about the pro-
ject and gave written consent to participate. For those
with reduced capacity, health personnel and/or the
next of kin took this decision on their behalf and gave
written consent. All participants were informed that
they could withdraw from the study at any stage.
Statistical analyses
Prior to commencing the study, a power calculation
was made using statistical software
JMP version 12
(SAS Institute, Cary, SC, USA) with BARS as the
4 C. Olsen et al.
Copyright # 2016 John Wiley & Sons, Ltd. Int J Geriatr Psychiatry 2016
primary outcome measure. A power calculation for
change of means in BARS with 80% probability of
detecting differences between groups, alpha 0.05, and
a least signicant difference of 7.0 points (SD = 8.4)
between the intervention group and the control group
indicated a necessary total of 30 participants in each
group at the respective units. The power calculation
took into account a 20% dropout rate.
Intraclass correlation coefcient
To test the level of agreement between the different
raters, health personnel from ve units with the same
training in BARS scored the same participants (n = 28),
intraclass correlation (ICC) = 0.84 (single measures).
Values between 0.75 and 1.0 are considered to indicate
excellent interrater reliability (Hallgren, 2012). ICC
was also used to test for cluster effect of facilities
(ICC BARS = 0.02; ICC CSDD = -0.04; ICC
QUALID = 0.28).
Missing data
The person mean substitution method was used to im-
pute missing data on item level for CSDD, BARS and
QUALID if three or fewer items were missing.
Analyses
All analyses were computed using statistical software
IBM SPSS Statistics for Windows, Version 22.0.
Armonk, NY: IBM Corp. To assess the internal consis-
tency of CSDD, BARS and QUALID, Cronbachs al-
pha was calculated for the sum scores, all of which
showed acceptable consistency. One-way ANOVA for
continuous data and chi-square for categorical data
were used to test the differences in means between
the intervention and control groups at T
0
.
A mixed model was used to investigate changes over
time and differences between the intervention group
and the control group (West, 2009). The dependent var-
iables were the three main types of assessment: CSDD,
BARS and QUALID. Time was modelled as a repeated
variable, and an autoregressive covariance structure
(AR1) was used to accommodate dependencies between
the three points in time. The type of intervention was
included as xed effect; nursing home within group
was included as random effect. T
0
wasusedasreference
point for time. The control group was set as the refer-
ence group. To accommodate different time trends be-
tween the groups, an interaction term was included
between the intervention group and control group and
points of timethe effect of interest in the study.
As severity of dementia is known to affect main as-
sessments (Beerens et al., 2013; Mjørud et al., 2014a),
also stratied analyses of cognitive and functional per-
formance (CDR) were conducted. Before the analyses,
CDR was dichotomized into either mild/moderate or
severe dementia.
To test the clinically signicant change in depres-
sion, a modied method developed by Teri et al.
(1997) was used. The participants sum scores for T
0
,
T
1
and T
2
were categorized into four levels according
the administration and scoring guidelines for the
CSDD by George S. Alexopoulos (2002). Subjects with
Table 1 Demographic data for control and animal-assisted activity (AAA)
Control
(n = 26)
AAA
(n = 25)
p-
value
Gender, women (%) 17 (65.4) 15 (60.0) 0.69
Missing 0 0
Age, mean (SD) 84.1 (6.7) 82.9
(8.5)
0.60
Missing 1 1
Enjoy animal contact (%) 24 (92.3) 18 (72.0) 0.78
Missing 0 5 (20.0)
Clinical Dementia Rating
Scale (%)
0.72
000
0.5 1 (3.9) 0
1 1 (3.9) 2 (8.0)
2 12 (46.2) 11 (44.0)
3 12 (46.2) 12 (48.0)
Missing 0 0
Education (%) 0.20
Primary school 17 (65.4) 9 (36.0)
Secondary school 4 (15.4) 3 (12.0)
Higher education 3 (11.5) 2 (8.0)
Other 2 (7.7) 3 (12.0)
Missing 0 8 (32.0)
Walking aids (%) 0.16
None 8 (30.8) 10 (40.0)
Walking sticks 0 0
Cane 3 (11.5) 1 (4.0)
Crutches 0 0
Rollator 8 (30.8) 12 (48.0)
High walker 4 (15.4) 0
Wheelchair 3 (11.5) 1 (4.0)
Supported walking 0 1 (4.0)
Missing 0 0
Social contact (%) 0.10
Daily 0 2 (8.0)
Several times per week 9 (34.6) 7 (28.0)
Once per week 10 (38.5) 14 (56.0)
Every other week 4 (15.4) 0
Rare 3 (11.5) 1 (4.0)
Missing 0 1 (4.0)
Hobbies (%) 0.30
Cognitive activities 7 (26.9) 3 (12.0)
Physical activities 11 (42.3) 8 (32.0)
Other 1 (3.85) 2 (8.0)
Combination 4 (15.4) 8 (32.0)
Missing 3 (11.5) 4 (16.0)
SD, standard deviation.
5Animal-assisted interventions for dementia patients
Copyright # 2016 John Wiley & Sons, Ltd. Int J Geriatr Psychiatry 2016
a score that showed improvement on at least two levels
from T
0
to T
1
or from T
0
to T
2
were considered as
having a clinically signicant improvement in their
depression symptoms. A subanalysis using mixed
models was used to test for the effect of attendance
at the AAA sessions. Attendance was grouped into
high (>90%) and low (<90%).
Results
No signicant differences were found between the
intervention group and the control group at baseline
(Table 1). All of the participants in the control group
had a dementia diagnosis, but ve did not in the AAA
group. For the latter participants, the mean mini-
mental state examination was 13.80 (SD =6.61, range:
723). There were 26 complete cases in the control
group (65.4% women) and 25 in the intervention
group (60% women). The mean age was 84.1 years in
the control group and 82.9 years in the intervention
group. Regarding CDR, 92% of the participants in each
of the two groups scored moderate or severe on the rat-
ing scale. The majority of the participants reported that
they enjoyed contact with animals.
The main effects of intervention and time are listed
in Table 2. No signicant effects of the intervention
were found from T
0
to T
1
for depression in the total
sample (Table 3). However, the intervention group
had a continual decrease in the CSDD score, while
the control group had a continual increase in the
CSDD score, and a signicant effect of the interven-
tion was found from T
0
to T
2
(Table 3). When strati-
ed on CDR, there was a close to and signicant effect
on depression from T
0
to T
1
(p = 0.054) and T
0
to T
2
(p = 0.001) among participants with severe dementia
(Table 4). For participants with mild to moderate de-
mentia, the intervention showed no signicant effects.
Also the signicant difference between the groups
with regard to depression from T
0
to T
2
showed
clinical signicance. More participants in the AAA
group improved than in the control group (p = 0.03)
(Table 5). A total of eight (17%) participants in the in-
tervention group improved by two levels on the CSDD
score, from T
0
to T
2
, but none in the control group.
Three participants (6.4%) from both the AAA group
and the control improved one level (Table 5).
There were no signicant effects of the intervention
on change in agitation from either T
0
to T
1
or T
0
to T
2
(Table 3) or when stratied on cognitive level
(Table 4).
Signicant effects of the intervention were found on
QoL for persons with severe dementia from both T
0
to
T
1
and T
0
to T
2
(Table 4). The control group showed
an increase in the QUALID score over the study
period, indicating a decline in QoL, whereas the AAA
group showed a decrease in the QUALID score. There
were no signicant effects on QoL in the total sample
(Table 3) or in persons with mild to moderate demen-
tia (Table 4).
The number of sessions attended did not affect the
outcome of the CSDD, BARS or QUALID scores
(data not shown). The participation rate was high:
16 (64%) of the participants attended 90% or more
of the group sessions.
Discussion
The main nding in the study was signicant statistical
and clinical improvement in symptoms of depression
from baseline (T
0
) to follow-up 12 weeks after end of
the intervention (T
2
) in the AAA group compared
with the control group. The intervention effect on
depression was found to be associated with severe
dementia. For patients with severe dementia, the inter-
vention also showed signicant effects on QoL in the
change from T
0
to T
1
and T
2
. In the control group,
the symptoms gradually worsened during the study
period. The intervention showed no signicant effects
on agitation.
Although there have been inconsistent ndings
regarding the effect of AAI on depression in patients
with dementia (Moretti et al., 2011; Mossello et al.,
2011), the decline in symptoms found in the AAA
group is in line with ndings from earlier studies
(Majic et al., 2013; Friedmann et al., 2015). In a simi-
lar study with AAI group intervention, Friedmann
et al. (2015) found that depression decreased during
the intervention period, while the reminiscing group,
used for comparison, did not experience a decrease
in depression. However, in contrast to the study
reported in the present article, no signicant effect
was found between groups (Friedmann et al., 2015).
Majic et al. (2013) studied the effect of individual-
based AAI on depression in nursing home residents.
When using the Dementia Mood Assessment Scale,
they found that while the control group worsened
during the intervention period, the intervention group
showed constant frequency and severity in symptoms
of depression (Majic et al., 2013).
The level of agitation observed at baseline was in
line with a reliability study of the Norwegian version
of BARS (mean 24.2, SD 12.6) (Sommer et al., 2009)
and indicate observed agitated behaviour once or
twice per week. Agitation is one of the most difcult
6 C. Olsen et al.
Copyright # 2016 John Wiley & Sons, Ltd. Int J Geriatr Psychiatry 2016
NPS to manage in dementia patients. The lack of a
signicant effect on agitation is in line with ndings
from other AAI studies (Nordgren and Engstrom,
2014a; Friedmann et al., 2015; Thodberg et al.,
2015), although some early research have reported
positive effects (McCabe et al., 2002; Richeson, 2003;
Sellers, 2006).
Older persons with dementia often have a dimin-
ished QoL (Bárrios et al., 2012). This was conrmed
in the results of the study as there was a substantial de-
crease in QoL over time in participants with severe
dementia in the control group. AAA was found to
have an effect on both QoL and depression in the
group of patients with severe dementia. It is possible
that the AAA intervention might have been of particu-
lar value for this group, as patients with severe demen-
tia have been found to have a high prevalence of
unmet needs regarding meaningful activities and so-
cial contact (Cohen-Manseld et al., 2015). Not only
might being part of a group intervention where a
dog is the centre of attention reduce the pressure in
social interaction, but also the dog might serve as a
Table 2 Estimates of main effects of intervention and time for CSDD, BARS and QUALID
Estimates of main effects
1
Dependent
variables
Controlintervention T
1
T
0
T
2
T
0
Estimate 95% CI Estimate 95% CI Estimate 95% CI
CSDD 1.78 2.88, 6.44 1.16 1.38, 3.70 0.89 1.29, 3.08
BARS 0.67 9.65, 10.99 1.25 5.35, 2.86 0.03 3.24, 3.17
QUALID 1.00 5.05, 7.06 0.33 3.74, 3.08 0.63 3.27, 2.00
CSDD, Cornell Scale for Depression in Dementia; BARS, Brief Agitation Rating Scale; QUALID, Quality of Life in Late-stage Dementia; T
0
,pre-test;
T
1
, post-test; T
2
, follow-up; CI, condence interval..
1
A mixed model was used to estimate main effects.
Table 3 CSDD, BARS and QUALID for control and AAA (mean ± SD) and estimates of xed effects
Dependent
variables
Pre-test
(T
0
)
Post-
test (T
1
)
Follow-
up (T
2
)
Estimates of fixed effects
1
T
1
T
0
T
2
T
0
Estimate tp
2
95% CI Estimate tp 95% CI
CSDD
Control 6.88
± 4.70
(n = 26)
8.28
± 5.62
(n = 25)
9.58
± 6.61
(n = 24)
2.09 1.38 0.171 5.09, 0.92 3.73 2.11 0.037 7.23, 0.23
AAA 8.35
± 4.65
(n = 23)
7.86
± 4.42
(n = 22)
7.41
± 5.01
(n = 22)
BARS
Control 23.19
± 11.39
(n = 26)
24.65
± 13.95
(n = 26)
24.00
± 13.20
(n = 25)
1.43 0.64 0.525 5.88, 3.02 0.50 0.17 0.864 6.20, 5.21
AAA 23.44
± 7.64
(n = 25)
23.75
± 7.13
(n = 24)
24.87
± 8.34
(n = 23)
QUALID
Control 22.92
± 8.50
(n = 26)
25.31
± 10.26
(n = 26)
26.48
± 10.05
(n = 25)
1.75 0.95 0.344 5.41, 1.92 3.60 1.50 0.136 8.34, 1.15
AAA 23.92
± 6.99
(n = 25)
24.80
± 5.79
(n = 24)
24.57
± 6.58
(n = 23)
CSDD, Cornell Scale for Depression in Dementia; BARS, Brief Agitation Rating Scale; QUALID, Quality of Life in Late-stage Dementia; AAS,
animal-assisted activity; CI, condence interval.
1
A mixed model was used to estimate time trends between the groups.
2
Signicance level 0.05.
7Animal-assisted interventions for dementia patients
Copyright # 2016 John Wiley & Sons, Ltd. Int J Geriatr Psychiatry 2016
mediator for conversation and lead to social cohesion
within the group (Beetz et al., 2012). The effect found
at T
2
for both depression and QoL may indicate that
the intervention initiated a process that continued be-
yond the end of intervention period. The intervention
may have contributed to an increase in social
interaction in general between the participants and
staff. Earlier research has shown that AAI might im-
prove social behaviour (Filan and Llewellyn-Jones,
2006), increase social interactions and conversations
(Bernstein et al., 2000; Kramer et al., 2009) and reduce
loneliness (Banks and Banks, 2002).
The study had several weaknesses that should be
considered when interpreting the results. Generaliza-
tion of the results should be done with caution be-
cause both the recruitment of the nursing homes and
participants might have been biased towards those
who regarded AAA as a positive activity.
Table 4 CSDD, BARS, QUALID stratied on CDR for control and AAA (mean ± SD) and estimates of xed effects
Dependent
variables
Pre-test
(T
0
)
Post-
test (T
1
)
Follow-
up (T
2
)
Estimates of fixed effects
1
T
1
T
0
T
2
T
0
Estimate tp
2
95% CI Estimate tp95% CI
CSDD mild/moderate dementia
Control 6.36
± 5.56
(n = 14)
8.15
± 6.09
(n = 13)
10.50
± 8.18
(n = 14)
1.81 0.66 0.513 7.35, 3.73 4.46 1.45 0.151 10.58, 1.67
AAA 8.77
± 6.39
(n = 13)
9.36
± 6.02
(n = 11)
8.55
± 6.64
(n = 11)
CSDD severe dementia
Control 11.25
± 6.74
(n = 12)
12.92
± 8.08
(n = 12)
16.70
± 11.72
(n = 10)
5.04 1.99 0.054 10.17, 0.09 11.00 3.67 0.001 17.01,5.00
AAA 13.50
± 5.28
(n = 10)
11.00
± 6.91
(n = 11)
7.91
± 5.43
(n = 11)
BARS mild/moderate dementia
Control 21.43
± 10.09
(n = 14)
21.71
± 12.63
(n = 14)
21.79
± 11.40
(n = 14)
0.48 .017 0.866 5.23, 6.20 0.09 0.03 0.980 7.40, 7.21
AAA 21.92
± 6.13
(n = 13)
22.69
± 5.92
(n = 13)
21.92
± 8.80
(n = 12)
BARS severe dementia
Control 25.25
± 12.88
(n = 12)
28.08
± 15.17
(n = 12)
26.82
± 15.27
(n = 11)
3.68 1.02 0.317 11.04, 3.67 0.95 0.24 0.811 8.89, 6.99
AAA 25.08
± 8.99
(n = 12)
25.00
± 8.47
(n = 11)
28.09
± 6.77
(n = 11)
QUALID mild/moderate dementia
Control 20.36
± 5.96
(n = 14)
23.07
± 9.50
(n = 14)
23.00
± 6.56
(n = 14)
1.05 0.40 0.692 4.27, 6.38 1.47 0.47 0.643 4.85, 7.79
AAA 21.46
± 7.00
(n = 13)
25.23
± 5.10
(n = 13)
25.83
± 8.08
(n = 12)
QUALID severe dementia
Control 25.91
± 10.21
(n = 12)
27.92
± 10.90
(n = 12)
30.91
± 12.15
(n = 11)
5.08 2.33 0.035 9.79,
0.37 9.79 3.15 0.003 16.03,3.54
AAA 26.58
± 6.17
(n = 12)
24.27
± 6.72
(n = 11)
23.18
± 4.40
(n = 11)
Cornell Scale for Depression in Dementia (CSDD), Brief Agitation Rating Scale (BARS), and Quality of Life in Late-stage Dementia (QUALID);
AAS, animal-assisted activity; CI, condence interval.
1
A mixed model was used to estimate time trends between the groups.
2
Signicance level 0.05.
8 C. Olsen et al.
Copyright # 2016 John Wiley & Sons, Ltd. Int J Geriatr Psychiatry 2016
The instruments used to measure the outcomes
were standardized, validated and reliable (Swift et al.,
2002; Korner et al., 2006; Barca et al., 2010; Sommer
and Engedal, 2011); moreover, an excellent interrater
reliability was found. However, the raters were not
blind to whether the participants were part of an
AAA group or a control group. Although this might
have inuenced the positive change seen for depres-
sion and QoL, the trend towards increased agitation
indicates that raters were not biased.
When using treatment as usual as a control condi-
tion, there is always a possibility that any observed
effect of the intervention is merely a novelty effect.
However, all participants in the study were offered a
range of regular activities, and the AAA were additional
to these. Using another activity as control condition
would therefore b e both difcult in practice and imply
a wish to compare different intervent ions effective-
ness, which was not within the scope of the study.
Furthermore, it could be argued that the dog handler,
not the dog, is the decisive factor in AAIs. By deni-
tion, AAA implies a human and animal team, a nd
using a control condition without a dog was theref ore
not considered.
A strength of the study lies in its design, as random-
ized controlled trials are the most robust evaluative
method (Puffer et al., 2005). Methodological issues
in cluster randomized trials are straightforward and
manageable (Murphy et al., 2006), and we considered
these issues carefully. The assessment of the long-term
effects is a further strength of our study. The moderate
dropout rate (17%) was as expected, because of the
populations age and progressive decease.
There is a need for high-quality research in non-
pharmacological interventions for older people with
dementia (Iden et al., 2014), and the present results
contribute to a better understanding of the feasibility
and effect of AAA programmes for older people with
dementia. The fact that the statistical difference in
the CSDD also showed signicant clinical relevance
renders the results valuable for clinical practice.
Conclusion
The signicant improvements in depression and QoL
show that complementary treatment such as AAA
may be useful in dementia care. The effects were
found for persons with severe dementia, which sup-
ports the importance of individually tailored interven-
tions where participants cognitive and functional
levels are taken into account.
Conict of interest
The rst-named author owns a share in the Norwegian
Centre of Anthrozoology, which was a partner in the
study project.
Key points
The prevalence of neuropsychiatric symptoms
in cognitively impaired nursing home residents
is high.
Non-pharmacological treatment is recommended.
Signicant improvements to both the severity
of depression and quality of life were found in
persons with severe dementia in the animal-
assisted intervention group compared with the
control group.
Animal-assiste d activity may be effective in de-
mentia care.
Acknowledgements
The project was funded by grant no. 217516 from
Oslofjordfondet and RFF Hovedstaden, NMBU, and
cooperating partners (the Norwegian Centre of An-
throzoology, Buskerud, and Vestfold University
College, Centre for Development of Institutional and
Home Care Services, Vestfold). Cooperating partners
supported the project through internal funding.
The authors also thank the participants, the nursing
homes and health workers, the dogs and their handlers
and the cooperating partners.
Table 5 Clinically signicant change on subject level in Cornell Scale
for Depression in Dementia (chi-square and p-value)
T
1
T
0
T
2
T
0
Control
group
(n = 26)
N (%)
AAA
group
(n = 23)
N (%)
Control
group
(n = 25)
N (%)
AAA
group
(n = 22)
N (%)
Improved 3.00 0 (0) 1 (2.0) 0 (0) 0 (0)
2.00 2 (4.1) 2 (4.1) 0 (0) 8 (17.0)
1.00 4 (8.2) 4 (8.2) 3 (6.4) 3 (6.4)
No
change
0.00 11
(22.4)
11
(22.4)
13
(68.4)
6 (31.6)
Worse 1.00 7 (14.3) 5 (10.2) 5 (10.6) 3 (6.4)
2.00 1 (2.0) 0 (0) 3 (12) 2 (4.3)
3.00 1 (2.0) 0 (0) 1 (2.1) 0 (0)
χ
2
= 3.16, p = 0.79 χ
2
= 12.14, p = 0.03
T
0
, pre-test; T
1
, post-test; T
2
, follow-up; AAS, animal-assisted
activity.
9Animal-assisted interventions for dementia patients
Copyright # 2016 John Wiley & Sons, Ltd. Int J Geriatr Psychiatry 2016
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Copyright # 2016 John Wiley & Sons, Ltd. Int J Geriatr Psychiatry 2016
... Interventions were described as pet encounter therapy, pet-facilitated therapy, pet-assisted living, animal assisted intervention, animal assisted therapy, animal assisted activity or simply dog visits/therapy. The majority of studies were from the USA (n = 11), and the remainder were conducted in Norway [64], Italy [59], South Africa [63], Australia [69], Spain [58,70] and Denmark [67,68]. Nine of the studies had a specific focus on residents living with dementia [58,60,61,64,66,67,68,69,70]. ...
... The majority of studies were from the USA (n = 11), and the remainder were conducted in Norway [64], Italy [59], South Africa [63], Australia [69], Spain [58,70] and Denmark [67,68]. Nine of the studies had a specific focus on residents living with dementia [58,60,61,64,66,67,68,69,70]. The sample size of the studies were generally small, ranging from six [61] to 144 residents [59], with eleven of the studies involving less than 50 residents. ...
... Fifteen of the studies involved dogs as the intervention, one study involved cats [61], one study assessed in-room canaries [59], and one study reported on the effect of kitten and rabbit visits [62]. Intervention duration varied from a one-off visit [61,62], to interventions of three to six weeks [57,63,66,67,71,72,73], longer interventions of 8-12 weeks [54,55,59,60,64,65,69,70] and in one study, nine months [58]. The approach of the intervention was either one-to-one [54,55,57,58,62,65,66,67,68,70,71,72,73], including one study in which the animals (canaries) lived with the residents in their room [59], or was group-based [58,60,61,63,64,69]. ...
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... A variety of animals, from horses to dolphins, have been used in animal therapy, but dogs have become mainstream in recent years [2][3][4][5]. Specific effects of animal therapy have been reported, including decreased progression of depression [2,6,7], stabilization of blood pressure [8,9], and increased motivation to socialize [10][11][12]. In expectation of these effects, many hospitals and facilities have introduced dog visits, and the demand for these services has been increasing. ...
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... 6 A study by Martina Lundqvist et al. 7 showed in their systematic review that the number of patients included in the studies varied from 23 and 100 and cognitive disorder dominated the selected studies. 8,9,10,11,12,13,14 The studies also differed regarding control group treatments. In Friedman et al., Thodberg ...
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It has been known since the olden days that Animals, particularly dogs, were found to have positive effects on humans. They bring about a sense of calmness and increases the well being in them. There are a limited number of studies in India that have been conducted with regard to Dog Assisted Therapy (DAT) in those diagnosed with Depressive Disorders. Hence, this case series aims to show the clinical effectiveness of Canine Therapy in reducing depressive features as an Adjuvant Therapy to the primary management of clients with clinical depression. DAT has a biological aspect to it and unless given by a certified therapist can have negative consequences for clients. In this case series, clients were assessed and evaluated in detail. Once diagnosed with a Depressive Disorder, consent was obtained and the Protocol for DAT was followed and they were assessed for improvement in their symptoms. Dog Assisted Therapy shows promising results indicating that it can be used as an add-on Therapy. However, more evidence based studies are required.
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As part of an 8-week intervention study in Dutch nursing homes, we used video-analysis to observe the interaction of psychogeriatric participants with either the handler, the stimulus (dog or robot) or other clients during weekly dog, robot (RAI, robot assisted interventions) and control (human facilitator only) group sessions. Additionally, we measured the initiative of the handler to engage participants. Several baseline characteristics, including dementia severity, neuropsychiatric symptoms and medication usage, were recorded as possible confounders. Participant-handler interaction is increased in all three groups compared to a baseline of no interaction, while inter-client interaction is not. In the dog group participant-handler interaction scores are similar to participant-dog interaction scores, while in the robot group participant-handler interaction scores are significantly lower than participant-robot interaction scores. Handler initiative does not differ between the three groups. Our results suggest that a handler effect of AAI on social interaction in dementia care does exist and we hypothesize this effect is linked to the required fully embodied, mutual attunement between dog and handler and between dog-handler team and participants. This embodied interaction distinguishes AAI from RAI and when the required attunement is met, AAI can significantly increase the social interaction of people with dementia.
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Background: Previous studies have suggested that visiting dogs can have positive effects on elderly people in nursing homes. We wanted to study the effects of biweekly dog visits on sleep patterns and the psychiatric well-being of elderly people. Methods: A total of 100 residents (median age: 85.5 years; [79; 90]) from four nursing homes were randomly assigned to receive biweekly visits for 6 weeks from a person accompanied by either a dog, a robot seal (PARO), or a soft toy cat. Sleep patterns were measured using actigraphy technology before, during (the third and sixth week), and after the series of visits. The participants were weighed and scored on the Geriatric Depression Scale, the Gottfries-Bråne-Steen Scale, and the Mini-Mental State Examination before and after the visit period. Results: We found that sleep duration (min) increased in the third week when visitors were accompanied by a dog rather than the robot seal or soft toy cat (dog: 610 ± 127 min; seal: 498 ± 146 min; cat: 540 ± 163 min; F2,37 = 4.99; P = 0.01). No effects were found in the sixth week or after the visit period had ended. We found that visit type had no effect on weight (F2,88 = 0.13; P > 0.05), body mass index (F2,86 = 0.33; P > 0.05), Geriatric Depression Scale (F2,82 = 0.85; P > 0.05), Gottfries-Bråne-Steen Scale (F2,90 = 0.41; P > 0.05), or Mini-Mental State Examination (F2,91 = 0.35; P > 0.05). Furthermore, we found a decrease in the Geriatric Depression Scale during the experimental period (S = -420; P < 0.05), whereas cognitive impairment worsened as shown by a decrease in Mini-Mental State Examination score (S = -483; P < 0.05) and an increase in the Gottfries-Bråne-Steen Scale (t = 2.06; P < 0.05). Conclusion: Visit type did not affect the long-term mental state of the participants. The causal relationship between sleep duration and dog-accompanied visits remains to be explored.
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To investigate variables associated with change in quality of life (QOL), measured by QUALID scale and three subscales; tension, sadness and wellbeing, among dementia patients in nursing homes. A 10 months follow-up study including 198 (female 156, 79%) nursing home patients, mean age 87 (s.d 7.7) years. Scales applied; quality of life in late stage dementia (QUALID) scale and three subscales (wellbeing, sadness and tension), neuropsychiatric inventory questionnaire 10 items (NPI-10-Q), clinical dementia rating (CDR) scale, physical self-maintenance (PSMS) scale and a scale of general medical health. Use of psychotropic medication, gender and age was collected from the patient's records. Mean baseline QUALID score: 20.6 (s.d.7.0), follow-up score: 22.9 (s.d.7.4), mean change 2.8 (s.d.7.4). QOL improved in 30.8%, were unchanged in 14.7%, deteriorated in 54.6% of patients. A regression analysis revealed that change in QUALID score was significantly associated with: QUALID baseline score (beta -.381, p-value.000), change in NPI score (beta.421, p-value.000), explained variance 38.1%. Change in score on wellbeing subscale associated with: change in PSMS score (beta.185, p-value.019), wellbeing baseline score (beta -.370, p-value.000), change in NPI score (beta.186, p-value.017), explained variance 25.3%. Change in score on tension subscale associated with: change in CDR sum-of-boxes (beta.214, p-value.003), change in NPI score (beta.270, p-value.000), tension baseline score (beta -.423, p-value.000), explained variance 34.6%. Change in score on sadness subscale associated with: change in NPI score (beta.404, p-value.000), sadness baseline score (beta -.438, p-value.000), explained variance 38.8%. The results imply that a lower baseline score (better QOL) results in a larger change in QOL (towards worse QOL). Change in QOL is mostly associated with change in neuropsychiatric symptoms. In almost 50% of patients QOL did not deteriorate.
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Background: In older adults with cognitive impairment (CI), decreased functional status and increased behavioral symptoms require relocation from assisted living (AL) to nursing homes. Studies support positive effects of pets on health/function. Purpose: Evaluate the effectiveness of the Pet AL (PAL) intervention to support physical, behavioral, and emotional function in AL residents with CI. Methods: Cognitively impaired AL residents randomized to 60-90 minute sessions [PAL (n = 22) or reminiscing (n = 18)] twice/week for 12 weeks. PAL interventionist encourages residents to perform skills with the visiting dog; reminiscing interventionist encourages residents to reminisce. Monthly assessment of physical (energy expenditure, activities of daily living), emotional (depression, apathy), and behavioral (agitation) function. Results: In linear mixed models, physical activity depressive symptoms improved more with PAL. Conclusion: Evidence supports that the PAL program helps preserve/enhance function of AL residents with CI. Additional study is required to evaluate the duration and predictors of effectiveness of the PAL intervention.
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Aim: To evaluate the effect of a dog-assisted intervention on the behavioural and psychological symptoms of residents with dementia during a six-month period. Method: The study was conducted in eight nursing homes in Sweden. A total of 33 residents with dementia, 20 in the intervention group and 13 in the control group, were recruited. The Cohen-Mansfield Agitation Inventory (CMAI) and the Multi-Dimensional Dementia Assessment Scale (MDDAS) were used to assess the effects of a dog-assisted intervention on participants' behavioural and psychological symptoms. The intervention comprised ten sessions, lasting between 45 and 60 minutes, once or twice a week. Descriptive statistics were used to analyse background data, comparisons between groups at baseline were performed using the Mann-Whitney U test, and the Wilcoxon rank sum test was used to test differences in groups over time. Results: In the intervention group changes from baseline to follow up immediately after the intervention were not significant, possibly because of the small sample size. Some positive tendencies were observed: the CMAI mean score for physical non-aggressive behaviours decreased from 18.5 at baseline to 15.3 at follow up immediately after the intervention; lower scores indicate fewer symptoms. Mean and median MDDAS scores for behavioural symptoms decreased from 15.3 and 13.5 respectively at baseline to 13.1 and 12.0 respectively at follow up immediately after the intervention; lower scores indicate fewer symptoms. The CMAI mean score for verbal agitation increased significantly (P=0.035) from 17.2 at baseline to 20.6 at follow up six months after the intervention. Conclusion: Dog-assisted intervention may provide an alternative or a complement to pharmacological treatments to reduce behavioural symptoms in people with dementia, but its value and place in care require further evaluation.
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To translate the Quality of Life in Late-Stage Dementia (QUALID) Scale into Norwegian, and to evaluate the test-retest reliability and validity of the scale. QUALID was translated according to standardised procedures. Residents with dementia living in nursing homes were included in the study and assessed using QUALID, Cornell Scale for Depression in Dementia, Neuropsychiatric Inventory, Physical Self-Maintenance Scale and Clinical Dementia Rating Scale. Cronbach's α of QUALID was 0.79. In the reliability study, the intra-class correlation was 0.83. The validity study showed a strong association between depressive symptoms and QUALID, and a moderate association between QUALID and assessments of level of functioning and agitation. The Norwegian version of QUALID is a reliable and valid scale for assessing quality of life in nursing home residents with dementia. © 2015 S. Karger AG, Basel.
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It is increasingly recognised that pharmacological treatments for dementia should be used as a second-line approach and that non-pharmacological options should, in best practice, be pursued first. This review examines current non-pharmacological approaches. It highlights the more traditional treatments such as behavioural therapy, reality orientation and validation therapy, and also examines the potential of interesting new alternative options such as cognitive therapy, aromatherapy and multisensory therapies. The current literature is explored with particular reference to recent research, especially randomised controlled trials in the area. Although many non-pharmacological treatments have reported benefits in multiple research studies, there is a need for further reliable and valid data before the efficacy of these approaches is more widely recognised.
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The Unmet Needs Model states that problem behaviors of people with dementia result from unmet needs stemming from a decreased ability to communicate those needs and to provide for oneself. The purpose of this study is to describe the unmet needs of persons with dementia exhibiting behavior problems. Eighty-nine residents with dementia from six Maryland nursing homes were assessed by research assistants and nursing assistants for their unmet needs using multiple assessment tools. Three unmet needs per resident were identified on average, with informants rating boredom/sensory deprivation, loneliness/need for social interaction, and need for meaningful activity as the most prevalent needs. Discomfort was associated with higher levels of verbally agitated behaviors (e.g., complaining). Based on results and independent ratings of pain, the authors estimate notable under-detection of discomfort and pain by both types of informants. The study demonstrates methodologies for uncovering unmet needs among persons with dementia and highlights the importance of developing programs that address those unmet needs, especially social and activity needs of nursing home residents. The detection of pain, and possibly that of discomfort, may require a different methodology. Copyright © 2015 Elsevier Ireland Ltd. All rights reserved.
Article
Objective: To study which variables are associated with quality of life (QOL) in persons with dementia (PWD) living in nursing homes (NHs). Methods: A cross-sectional study included 661 PWD living in NH. To measure QOL the quality of life in late-stage dementia scale (QUALID) was applied. Other scales were: the clinical dementia rating scale (CDR), physical self-maintenance scale (PSMS), and neuropsychiatric inventory questionnaire (NPI-Q). Results: The patients' mean age was: 86.9 (SD 7.7), 472 (71.4%) were women. Of all, 22.5% had CDR 1, 33.6% had CDR 2, and 43.9% had CDR 3. The mean PSMS score was 18.2 (SD 5.0), 43.1% lived in special care units, 56.9% in regular units. In a linear regression analysis NPI-affective score (β = 0.360, p-value < 0.001), NPI-agitation score (β = 0.268, p-value < 0.001), PSMS total score (β = 0.181, p-value < 0.001), NPI-apathy (β = 0.144, p-value < 0.001), NPI psychosis (β = 0.085, p-value 0.009), CDR sum of boxes score (β = 0.081, p-value 0.026) were significantly associated with QUALID total score (explained variance 44.5%). Conclusion: Neuropsychiatric symptoms, apathy, severity of dementia, and impairment in activities in daily living are associated with reduced QOL in NH patients with dementia.