Literature DB >> 33347846

Social Connection in Long-Term Care Homes: A Scoping Review of Published Research on the Mental Health Impacts and Potential Strategies During COVID-19.

Jennifer Bethell1, Katelynn Aelick2, Jessica Babineau3, Monica Bretzlaff2, Cathleen Edwards4, Josie-Lee Gibson5, Debbie Hewitt Colborne2, Andrea Iaboni6, Dee Lender5, Denise Schon7, Katherine S McGilton8.   

Abstract

OBJECTIVES: Good social connection is associated with better health and wellbeing. However, social connection has distinct considerations for people living in long-term care (LTC) homes. The objective of this scoping review was to summarize research literature linking social connection to mental health outcomes, specifically among LTC residents, as well as research to identify strategies to help build and maintain social connection in this population during COVID-19.
DESIGN: Scoping review. SETTINGS AND PARTICIPANTS: Residents of LTC homes, care homes, and nursing homes.
METHODS: We searched MEDLINE(R) ALL (Ovid), CINAHL (EBSCO), PsycINFO (Ovid), Scopus, Sociological Abstracts (ProQuest), Embase and Embase Classic (Ovid), Emcare Nursing (Ovid), and AgeLine (EBSCO) for research that quantified an aspect of social connection among LTC residents; we limited searches to English-language articles published from database inception to search date (July 2019). For the current analysis, we included studies that reported (1) the association between social connection and a mental health outcome, (2) the association between a modifiable risk factor and social connection, or (3) intervention studies with social connection as an outcome. From studies in (2) and (3), we identified strategies that could be implemented and adapted by LTC residents, families and staff during COVID-19 and included the articles that informed these strategies.
RESULTS: We included 133 studies in our review. We found 61 studies that tested the association between social connection and a mental health outcome. We highlighted 12 strategies, informed by 72 observational and intervention studies, that might help LTC residents, families, and staff build and maintain social connection for LTC residents. CONCLUSIONS AND IMPLICATIONS: Published research conducted among LTC residents has linked good social connection to better mental health outcomes. Observational and intervention studies provide some evidence on approaches to address social connection in this population. Although further research is needed, it does not obviate the need to act given the sudden and severe impact of COVID-19 on social connection in LTC residents.
Copyright © 2020 AMDA – The Society for Post-Acute and Long-Term Care Medicine. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Social integration; loneliness; long-term care; nursing homes; social capital; social engagement; social isolation; social networks; social support

Mesh:

Year:  2020        PMID: 33347846      PMCID: PMC9186333          DOI: 10.1016/j.jamda.2020.11.025

Source DB:  PubMed          Journal:  J Am Med Dir Assoc        ISSN: 1525-8610            Impact factor:   7.802


Coronavirus (COVID-19) has taken a disproportionate toll on people living in long-term care (LTC) homes. To protect LTC residents from COVID-19 infection, infection control measures have included prohibiting visitors and restricting activities and interactions with other residents and staff in the home. Although these measures may have reduced risk of infection, they have also presented their own health risks through the devastating impact on resident's social connection. , Social connection is good for health and well-being3, 4, 5 and important to quality of life in LTC homes.6, 7, 8 Social connection also has distinct considerations for those living in LTC homes. Most LTC residents are older adults, and many have complex health needs, including sensory, cognitive, or mobility impairment that can impact social connection.10, 11, 12 For many residents, families play an integral role, including participating in care, representing the resident's perspective and history, and maintaining family connections. , Within LTC homes, residents share space, have daily interactions with staff and take part in congregate activities. Communities surrounding LTC homes, including volunteers and care professionals, also participate in the lives of many LTC home residents. Taken together, LTC residents are a population with unique needs and opportunities for building and maintaining social connection. The current scoping review was undertaken to provide LTC residents, families, and staff with (1) a summary of research evidence linking social connection to mental health outcomes for LTC residents; and (2) strategies they may implement quickly, during COVID-19, to address social connection in this population. These objectives align with the needs of stakeholders representing or supporting LTC as well as COVID-19 research priorities identified internationally. ,

Methods

This is a substudy of a larger scoping review, conducted to address a broad set of research questions, with a flexible and iterative approach. We followed the 6-stage approach , and report our results in accordance with the PRISMA Extension for Scoping Reviews.

Step 1: Identifying the Research Questions

Our questions were developed to support a rapid knowledge synthesis and mobilization of current evidence on the needs of mental health services, delivery, and related guidelines in the COVID-19 context. Our questions were directed by stakeholders (see Step 6, below): What mental health outcomes are associated with social connection for people living in LTC homes? What interventions and strategies might support social connection for people living in LTC homes in the context of infectious disease outbreaks like COVID-19?

Step 2: Searching for Relevant Studies

We selected studies identified from the larger scoping review whereby published journal articles reporting results of observational and intervention studies were eligible if they reported a quantitative measure of social connection in a population of adult residents of LTC homes. We included research on aspects of social integration that have been identified specifically for research in LTC homes, including social networks, social engagement , and disengagement, social support, social isolation, and social capital. , The subjective experience of social integration, including loneliness, perceived isolation and social connectedness, were also included. Given the diversity of terminology used in this area of research, our search strategy used a broad list of terms. In this article, we refer to all these above-listed concepts collectively as social connection. We included studies reporting results specifically for residents of LTC homes, nursing homes or care homes (ie, adults living in residential facilities, whose staff provide help with most or all daily activities and 24-hour care and supervision). These terms reflect differences in terminology between countries, but were chosen for their overlap with the international consensus definition of nursing home. We hereafter refer to them collectively as LTC homes. To identify studies, we developed a comprehensive search strategy with an experienced information specialist who first conducted the search in MEDLINE(R) ALL (in Ovid, including Epub Ahead of Print, In-Process & Other Non-Indexed Citations, Ovid MEDLINE(R) Daily) and then translated it into CINAHL (EBSCO), PsycINFO (Ovid), Scopus, Sociological Abstracts (ProQuest), Embase and Embase Classic (Ovid), Emcare Nursing (Ovid), and AgeLine (EBSCO). All searches were conducted from the databases’ inception through to the date the search was executed (July 2019), limited to English language. Covidence (www.covidence.org) and Endnote were used to manage the review process, including the deduplication of database results.

Step 3: Selecting Studies

As part of the larger review, in the first and second phase of study selection, 2 reviewers independently screened article titles and abstracts then full articles to identify potentially relevant studies (ie, studies that quantified social connection in an adult population living in LTC homes). In both selection steps, any disagreements were resolved by a third reviewer. For the current subanalysis, 2 reviewers independently analyzed the full-text articles to identify the subset that reported the: association between any measure of social connection and a mental health outcome, association between a modifiable risk factor(s) and any measure of social connection, or results of intervention study (randomized and nonrandomized) whereby the outcome was any measure of social connection. We also checked our list against 3 recent systematic reviews of interventions to address social connection in LTC homes.33, 34, 35 No formal quality assessment of the studies was undertaken. To be more inclusive of studies of residents with dementia, we included articles that reported social interaction as a measure of social connection, but we did not include measures of social response, social behavior, social interest, social communication (eg, eye contact, facial expressions, body language, etc) or engagement that was not explicitly characterized as social.

Step 4: Charting the Data

Two reviewers then independently extracted data from these studies. We summarized studies according to study characteristics and reported a narrative synthesis and mapping of the results. , We reported the results in 2 parts, in alignment with the 2 questions guiding the review.

Step 5: Collating, Summarizing, and Reporting the Results

We took an iterative approach to reporting our results. The first author reported consolidated results back to the study team who reviewed the results, suggested refinements, and provided insights on the findings. From the studies identified in criteria (2) and (3) (see Step 3, above), the study team identified strategies that were seen to be potentially quick and relatively low-cost to implement and adapt by LTC residents, families, and staff in the COVID-19 pandemic; the articles informing these strategies were included in our review.

Step 6: Consulting With Stakeholders

In our initial protocol, we had described opportunities to present to LTC residents, families, and staff in a LTC home. COVID-19 made these consultations impractical. However, community participation is critical in the COVID-19 context; communities can help identify solutions and are well placed to devise collective responses. Thus, for this review, we worked with partners from organizations who represent these stakeholder groups: Behavioral Supports Ontario, Family Councils Ontario, and the Ontario Association of Residents’ Councils. These members of our study team were involved in priority-setting (defining the review questions), analyzing data, interpreting and contextualizing the results, and coauthoring the current review and related reports and presentations.

Results

Our initial search yielded 20,291 titles, which reduced to 11,653 after deduplication. We distilled this list to 133 articles after full-text review (Figure 1 ). The characteristics of the included studies are described in Table 1 . More than half (n=81; 61%) of the studies were published after 2010. The largest proportion of studies were from North America (n=52; 39%), mostly the United States (n=46). Overall, roughly one-third (n=49; 37%) of studies included fewer than 100 LTC residents in the sample; however, smaller studies made up a larger proportion of intervention studies (n=32; 65%) compared with observational studies in question 1 (n=13; 21%) and question 2 (n=4; 17%). The most commonly investigated aspects of social connection were social engagement (n=41; 31%), social support (n=34; 26%), and loneliness (n=32; 24%), and some studies investigated multiple measures.
Fig. 1

Flow diagram that describes the flow of information through the review's study search and selection. ∗ Exclusions: social connection assessed but descriptive or psychometric studies or studies with other outcomes (eg, physical health, quality of life, etc).

Table 1

Description of Published Research Articles Included in Scoping Review

Study CharacteristicsQuestion 1 (N=61)
Question 2
Total (N=133)
Observational (N=23)
Intervention (N=49)
n%n%n%n%
Year of publication
 Pre-199012144865
 1990-19998132912118
 2000-2009162662613273526
 2010-20193659146131638161
Region
 Asia203331316333929
 Europe11189399182922
 North America2439104318375239
 Other/multiple610146121310
Study design
 Cross-sectional47772087NANA6750
 Cohort1118313NANA1411
 Other/not stated35003665
 Quasi-experimentalNANANANA29592922
 Randomized controlled trialNANANANA17351713
Sample size (LTC home residents)
 <100132141732654937
 100-249264352211224232
 250-4991016417361713
 ≥50012201043242418
 Not stated00001211
Aspect(s) of social connection
 Loneliness111831318373224
 Social capital12000011
 Social engagement233812526124131
 Social interaction6101410201713
 Social isolation00144854
 Social network101600481411
 Social participation00143643
 Social relations005228161310
 Social support2643147143426
 Social withdrawal12291243

NA, not applicable.

Column percentage adds to more than 100% because some studies investigated multiple aspects of social connection.

Flow diagram that describes the flow of information through the review's study search and selection. ∗ Exclusions: social connection assessed but descriptive or psychometric studies or studies with other outcomes (eg, physical health, quality of life, etc). Description of Published Research Articles Included in Scoping Review NA, not applicable. Column percentage adds to more than 100% because some studies investigated multiple aspects of social connection.

What Mental Health Outcomes Are Associated With Social Connection for People Living in LTC Homes?

We identified 61 studies that tested the association between social connection and mental health outcomes. The most commonly investigated aspects of social connection were social support (n=26; 43%), social engagement (n= 23; 38%), loneliness (n= 11; 18%), and social network (n=10; 16%). We categorized these studies according to the reported mental health outcomes: depression; responsive behaviors; mood, affect, and emotions; anxiety; medication use; cognitive decline; death anxiety; boredom; suicidal thoughts; psychiatric morbidity; and daily crying (see Table 2 and Supplementary Table 1)—although we acknowledge overlap between these categories.
Table 2

Summary of Studies Included in Question 1, Total Number of Studies Included and Number of Studies With Statistical Evidence of Positive Impact of 1 (or More) Measures of Social Connection on the Mental Health Outcome

Mental Health OutcomeNumber of Studies Reporting
Mental Health OutcomePositive Impact of Social Connection
Depression3528
Responsive behaviors97
Mood, affect, and emotions87
Anxiety32
Medication use30
Cognitive decline22
Death anxiety22
Boredom22
Suicidal thoughts22
Psychiatric morbidity11
Daily crying11

Some studies included multiple outcomes; total does not reflect number of studies included in review.

Where studies report unadjusted and adjusted estimates, classified by adjusted estimates; where studies report cross-sectional and longitudinal analyses, classified by longitudinal analysis.

Supplementary Table 1

Summary of Studies Used to Address Question 1, Presented According to Mental Health Outcome

First Author, YearCountryPopulation (N=)Inclusion/Exclusion Related to CognitionStudy DesignSocial ExposureMental Health OutcomeStudy Finding
Depression (n=35 studies)
 Ahmed, 2014EgyptGeriatric home residents (N=240)Exclusion: cognitive impairment (MMSE score < 25)Cross-sectionalLoneliness, using a 3-item loneliness scaleDepression, using the shorter version of the Geriatric Depression Scale (GDS-15)Loneliness often (OR 5.02, 95% CI 1.96-12.90; P = .001) or sometimes (OR 3.79, 95% CI 1.35-10.66; P = .011) associated with depression
 Chau, 2019AustraliaLong-term care residents (N=81)Exclusion: moderate to severe cognitive impairment (MMSE score < 18)CohortSocial support, using the Multidimensional Scale of Perceived Social Support (MSPSS)Depression, using Geriatric Depression Scale short form (GDS-15)Worse perceived social support was associated with increased depression over time (P < .001)
 Cheng, 2010Hong KongNursing home residents (N=71)Exclusion: moderate to severe cognitive impairment (MMSE score < 18)Cross-sectionalSocial network, using the network mapping procedureSocial support (received and provided)Social engagement (visits), using contact frequencyDepression, using the Geriatric Depression Scale (GDS)Number of contacts with and social support from staff and fellow residents and support provided to all network members were all inversely associated with depression (P < .05)
 deGuzman, 2015The PhilippinesNursing home residents (N=151)None specifiedCross-sectionalSocial support, using the Social Support Scale and support from family and health care providers or from other personnelDepression, using the Geriatric Depression Scale (GDS)Social support, from either family or staff, was not associated with depression
 Drageset, 2013NorwayNursing home residents (N=227)Inclusion: “cognitively intact” [0.5 or less on the Clinical Dementia Rating Scale (CDR)]Cross-sectionalSocial support, using the revised Social Provision Scale (SPS): attachment, social integration, opportunity of nurturance, and reassurance of worthDepression, using the Hospital Anxiety and Depression Scale (HADS)Social support subdimensions of social integration (OR 0.96, 95% CI 0.93-0.99; P = .02) and reassurance of worth (OR 0.95, 95% CI 0.91-0.99; P = .006) were associated with less depression
 Farber, 1991United StatesNursing home residents (N=70)Exclusion: moderate-to-severe dementiaCross-sectionalSocial support, using the Quality of Relationship ScaleSocial engagement (visits and phone calls), using family-reported information on frequency of visits and phone callsDepression, using Center for Epidemiological Studies–Depression (CES-D) scaleQuality of relationships (P = .001) but not frequency of interaction (P = .23) were inversely associated with depression
 Fessman, 2000United StatesNursing facility residents (N=170)Inclusion: sufficient cognitive abilityCross-sectionalSocial network, using assessment of close friendsSocial engagement (visits), using who, and how often, outsiders visited them (number of visitors/month)Loneliness, using the UCLA Loneliness ScaleDepression, using the Zung depression scaleThe number of visits per month from friends and relatives was unrelated to depression; however, the number of close friends was inversely associated with depression (P < .01).Loneliness was positively associated with depression, but statistically significant only for those with Alzheimer's disease.
 Gan, 2015ChinaNursing home residents (N=71)None specifiedCohortLoneliness, using the UCLA Loneliness ScaleDepression, using the Center for Epidemiologic Studies Depression (CES-D) scaleLoneliness was associated with depression (P < .05); mediation analysis indicated that rumination did not mediate the relationship between loneliness and depression
 Hjaltadóttir, 2012IcelandNursing home residents (N=3694)None specifiedNot statedSocial engagement, using the RAI Index of Social Engagement (ISE)Depression, using RAI Depression Rating Scale (DRS)Compared to residents with higher social engagement, moderate (OR 5.14, 95% CI 4.26-6.19; P < .001) and low (OR 2.19, 95% CI 1.80-2.67; P < .001) social engagement associated with depression symptoms
 Hollinger-Smith, 2000United StatesNursing home residents (N=130)None specifiedCohortSocial support, using the Older Americans Resources and Services (OARS) social resources indicatorsSocial support (affective), using the Perception of Touch ScaleDepression, using the Geriatric Depression Scale (GDS)Diagnosed depression, using clinical diagnosis on recordUsing GDS, social resources and affective social support were inversely associated with depression (P < .001)Using diagnosed depression, only affective social support was associated with depression (P < .001)
 Hsu, 2014TaiwanLong-term care (intermediate care facility and nursing home) residents (N=174)Inclusion: cognitively intact as assessed by the Short Portable Mental Status.Exclusion: diagnosis of dementiaCross-sectionalSocial engagement, using the Socially Supportive Activity Inventory (SSAI) evaluating 9 different types of social activities and frequency, meaningfulness, and enjoymentDepression, using the Chinese Geriatric Depression Scale (GDS-15)In 8 of 9 social activities, the more meaningful and enjoyable the resident rated the activity, the more significant the correlation for fewer depressive symptoms (P < .05); of all the activities, only the “pleasure trips” showed no association with depressive symptoms
 Jongenelis, 2004The NetherlandsNursing home residents (N=350)Exclusion: moderate to severe cognitive impairment (MMSE score < 15)Cross-sectionalLoneliness, using the de Jong Loneliness ScaleSocial support, using the shortened version of the Social Support List–Interaction (SSL12-I) scaleDepression, using the Geriatric Depression Scale (GDS) and the Schedule of Clinical Assessment in Neuropsychiatry (SCAN)Loneliness was found to be associated with subclinical (OR 3.38, 95% CI: 1.72-6.63), minor depression (OR 4.52, 95% CI 2.06-9.90), and major depression (OR 22.32, 95% CI 2.55-195.66); lack of social support (OR 3.32, 95% CI 1.01-10.94) was associated with major depression
 Keister, 2006United StatesNew nursing home residents (N=114)None specifiedCross-sectionalSocial support, using the Modified Inventory of Socially Supportive Behaviors assessing 4 dimensions of social support (informational, tangible, emotional, and integration support)Depression, using the Geriatric Depression Scale (GDS)One dimension of social support was positively associated with depressive symptoms; as tangible support increased, depressive symptoms increased (P < .05)
 Kim, 2009Korea and JapanNursing home residents (N=184)None specifiedCross-sectionalLoneliness, using the Revised UCLA Loneliness ScaleDepression, using the shorter version of the Geriatric Depression Scale (GDS-15)Loneliness was a significant predictor of depression for the Korean (P < .01) and Japanese residents (P < .01)
 Kroemeke, 2016PolandNursing home residents (N=180)Exclusion: diagnosis of dementia or mild cognitive impairmentsCross-sectional (at baseline) and longitudinal (after 1 mo)Social support (received and provided), using the Berlin Social Support Scales (BSSS)Depression, using Center for Epidemiological Studies–Depression (CES-D) scaleIn cross-sectional analysis, there was an inverse relationship between receiving support and depression; in longitudinal analysis, neither received support nor given support were associated with depressive symptoms
 Krohn, 2000United StatesNursing home residents (N=29)Inclusion: “cognitively intact"Cross-sectionalLoneliness, using the UCLA Loneliness ScaleDepression, using the Geriatric Depression Scale (GDS)There was a positive association between loneliness and depression (P = .020).
 Kwok, 2011ChinaNursing home residents (N=187)Exclusion: moderate to severe cognitive impairment (MMSE score < 18)Cross-sectionalSocial support (perceived institutional peer support and perceived family support), using modified version of the Lubben Social Network ScaleDepression, using the Geriatric Depression Scale (GDS)No association between perceived family support and depressive symptoms; higher level of perceived institutional peer support was significantly correlated with a lower level of depressive symptoms (P < .001)
 Leedahl, 2015United StatesNursing home residents (N=140)Exclusion: moderate to severe cognitive impairment (MDS 3.0 Brief Interview for Mental Status < 13 or MDS 2.0 Cognitive Scale score > 2)Cross-sectionalSocial network, using the concentric circle (ie, egocentric network) approachSocial capital, using the indicators norms of reciprocity and trustSocial support, using a modified version of the Inventory of Socially Supportive BehaviorsSocial engagement, using Likert scale questions about participation in various social activities within and outside the nursing home and a question about group/organization participationDepression, using the Geriatric Depression Scale (GDS)Social networks had a positive indirect relationship with mental health, primarily via social engagement; social capital had a positive direct relationship on mental health
 Lin, 2007TaiwanNursing home residents (N=138)Inclusion: “cognitively intact"Exclusion: score of 4 or less on the Short Portable Mental Status Questionnaire (SMPSQ)Cross-sectionalSocial support, using the Social Support Scale to measure perceived social support from nurses, nurse aides, family, and roommatesDepression, using Center for Epidemiological Studies–Depression (CES-D) scaleLack of social support from nurses(P = .034), family (P < .001), and roommates (P = .012) were correlated with depressive symptoms; in adjusted analysis, social support from family was inversely associated with depression (P < .001)
 Lou, 2013Hong KongLong-term care residents (N=1184)None specifiedCohortSocial engagement, using the RAI Index of Social Engagement (ISE)Depression, using the RAI Depression Rating Scale (DRS)At baseline, social engagement was inversely associated with depressive symptoms; increases in social engagement had a significant inverse association with changes in depressive symptom scores over time
 McCurren, 1999United StatesNursing home residents (N=85)Exclusion: diagnosis and symptom progression consistent with advanced irreversible dementiaCross-sectionalSocial network, using the Salamon-Conte Life Satisfaction in the Elderly Scale (LSES) social contacts subscaleDepression, using the Geriatric Depression Scale (GDS)Social contact was inversely correlated with depression (P = .001)
 Nikmat, 2015MalaysiaNursing home residents (N=149)Inclusion: cognitive impairment (Short Mini Mental State Examination (SMMSE) < 11)Cross-sectionalLoneliness/social isolation, using the Friendship Scale (FS)Depression, using the Geriatric Depression Scale (GDS)Loneliness/social isolation was associated with depression (P < .001)
 Patra, 2017GreeceNursing home residents (N=170)None specifiedCross-sectionalSocial support, using the Multidimensional Scale of Perceived Social Support (MSPSS)Social engagement (visits), using frequency of visits by relativesDepression, using the shorter version of the Geriatric Depression Scale (GDS-15)Social support was inversely associated with depression (P < .001); fewer visits from relatives was associated with depression (P < .001)
 Potter, 2018United KingdomCare home residents (N=510)None specifiedCohortSocial engagement, using the RAI Index of Social EngagementDepression, using the shorter version of the Geriatric Depression Scale (GDS-15)Controlling for home-level covariates, social engagement was not associated with depression
 Pramesona, 2018IndonesiaNursing home residents (N=181)Exclusion: diagnosed with severe cognitive impairment ordementiaCross-sectionalSocial support, using a classification: from spouse, family, staff or others or no one; and type of support, using a classification: psychological or financial or no supportDepression, using the Geriatric Depression Scale (GDS)In univariate analysis, lack of social support was associated with depression (OR 2.11, 95% CI 1.15-3.87; P = .15) but not in adjusted analysis (OR 2.11, 95% CI 0.48-9.32; P = .33); type of support was not associated with depression
 Segal, 2005United StatesNursing home residents (N=50)Exclusion: cognitive impairmentCross-sectionalSocial support, using Social Support List of Interactions (SSL12-I)Depression, using the Geriatric Depression Scale (GDS)Correlation between social support and depression was not statistically significant
 Somporn, 2012ThailandNursing home residents (N=237)None specifiedCross-sectionalLoneliness, using the UCLA Loneliness ScaleSocial engagement, using scheduled social activitiesDepression, using the Thai Geriatric Depression Scale (TGDS-30)Loneliness (P < .001), and lack of social activity (P < .001) were associated with depressive symptoms
 Tank Buschmann, 1994United StatesNursing home residents (N=50)None specifiedCross-sectionalSocial support (affective), using the Perception of Touch ScaleDepression, using the Geriatric Depression Scale (GDS)Affective social support was associated with reduced depression (P < .001)
 Tiong, 2013SingaporeNursing home residents (N=375)Exclusion: uncommunicative or unable to respond meaningfully (eg, dementia)Cross-sectionalSocial engagement (visits), using questions about frequency of visitorsDepression, using Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition (DSM-IV) criteriaLack of social contact was associated with depression (OR 2.33, 95% CI 1.25-4.33)
 Tosangwarn, 2018ThailandCare home residents (N=128)Exclusion: severe cognitive impairmentCross-sectionalSocial support, using the Thai Version of Multidimensional Scale of the Perceived Social Support (MSPSS)Depression, using the Thai Geriatric Depression Scale (TGDS-30)Perceived social support was inversely associated with depression (OR 0.969, 95% CI 0.939-0.999; P = .044).
 Tsai, 2005Taiwan and Hong KongNursing home residents (N=364)Exclusion: moderate to severe cognitive impairment (MMSE score < 16 for participants with no formal education; MMSE score < 20 for primary school graduates or higher)Cross-sectionalSocial support, using the Social Support Scale (including social support network, quantities of social support, and satisfaction with social support subscales)Depression, using the Chinese Geriatric Depression Scale–Short FormSatisfaction with social support and social support network were significantly and negatively related to depressive symptoms (P < .01)
 Tu, 2012TaiwanLong-term care residents (N=307)None specifiedCross-sectionalSocial support, using the Social Support Scale (assessing social companionship, emotional support, instrumental support, and informational support)Depression, using Center for Epidemiological Studies–Depression (CES-D) scaleAmong social support subscales, only social companionship was inversely associated with depression in adjusted analysis (P < .05); all were associated with depression in unadjusted analysis
 Vanbeek, 2011The NetherlandsLong-term care dementia unit (nursing and residential home) residents (N=502)None specifiedCross-sectionalSocial engagement, using the Index of Social Engagement (ISE)Depression, using the MDS Depression Rating Scale (DRS)Association between social engagement and depression was not statistically significant
 Yeung, 2011Hong KongNursing home residents (N=187)None specifiedCross-sectionalSocial support, using a questionnaire about family support; residential social support; and residential social participationDepression, using the Geriatric Depression Scale (GDS)Only residential social support was associated with depression (OR 0.36, 95% CI 0.24-0.53)
 Zhao, 2018ChinaNursing home residents (N=323)Exclusion: severe cognitive impairment (MMSE score < 10)Cross-sectionalLoneliness, using a Chinese version of the UCLA Loneliness ScaleSocial support, using the Multidimensional Scale of Perceived Social Support (MSPSS)Depression, using the Hospital Depression Scale (HDS)The association between loneliness and depressive symptoms was partially mediated by resilience; the indirect effect of the mediation model was moderated by social support
Responsive behaviors (n=9 studies)
 Chen, 2000United StatesNursing home residents (N=129)Exclusion: no cognitive impairment (MMSE score > 24)Cross-sectionalSocial interaction, using the Social Interaction Scale (SIS) subscales: Institutional Interaction and Family/Community InteractionAggressive behavior, using the Ryden aggression scale 2 (RAS2) with 3 subscales: physically aggressive behavior); verbally aggressive behavior; sexually aggressive behaviorSocial interaction was inversely associated with physical aggression (P < .05) but not verbal or sexual aggression
 Choi, 2018KoreaNursing home residents (N=1447)None specified (but results stratified by dementia)Cross-sectionalSocial engagement, using the RAI Index of Social Engagement (ISE)Aggressive behaviors, using RAI data on physical abuse, verbal abuse, socially inappropriate or destructive behaviors and/or resistance to care in the last 3 dSocial engagement was associated with less aggressive behavior among those without dementia (OR 0.31, 95% CI 0.15-0.62; P < .001) but not among those with dementia (OR 0.74, 95% CI 0.51-1.08)
 Cohen-Mansfield, 1990United StatesNursing home residents (N=408)None specifiedCross-sectionalSocial network (quality and size/density), using the Hebrew Home Social Network Rating Scale (HHSNRS)Screaming, using the Cohen-Mansfield Agitation Inventory (CMAI)Poor quality of the social network was associated with screaming (P < .01)
 Cohen-Mansfield, 1992United StatesNursing home residents (N=408)None specifiedCross-sectionalSocial network, using a questionnaire developed by research team—frequency of contact with staff, visitors, and others; intimacy with staff and visitors; frequency of visitorsAgitation, using the Cohen-Mansfield Agitation Inventory (CMAI): aggressive behavior, physically nonaggressive behavior and verbally agitated behaviorIntimacy of social network inversely associated with total number of agitated behaviors (P < .01), aggressive behavior (P < .01), and verbally agitated behavior (P < .01); the size and density of the social network did not differentiate agitated individuals from other residents
 Draper, 2000AustraliaNursing home residents (n=25 cases and n=25 controls)None specifiedCase-controlSocial engagement, using the Social Activity Inventory (SAI) items on group activities, hobbies, independent ADL, physical activities, culture-specific programs, visitors, and the involvement of family and friends in the nursing homeVocally disruptive behaviorParticipation in group activities (P = .005), hobbies (P = .004), and culture-specific programs (P = .005) less common among cases
 Hjaltadóttir, 2012IcelandNursing home residents (N=3694)None specifiedNot statedSocial engagement, using the RAI Index of Social Engagement (ISE)Behavioral symptoms, using RAICompared to residents with higher social engagement, moderate social engagement was associated with behavioral symptoms (OR 1.38, 95% CI 1.15-1.66; P < .001) but not those with lowest social engagement (OR 0.89, 95% CI 0.73-1.09)
 Kolanowski, 2006United StatesNursing home residents (N=30)Inclusion: dementia diagnosis that met DSM-IV criteria, and MMSE score <24Cross-sectionalSocial interaction, using the Passivity in Dementia Scale (PDS)Social withdrawal, using the withdrawal subscale of the Multidimensional Observation Scale for Elderly Subjects (MOSES)Agitation, using the Cohen-Mansfield Agitation Inventory (CMAI)Agitation was significantly greater under high social interaction as compared with low social interaction (P < .001) regardless of the extraversion score
 Livingston, 2017EnglandCare home residents (N=1489)Inclusion: diagnosis of dementia or screened positive for dementiaCross-sectionalSocial engagement (visits), using the number of family visitsAgitation, using the Cohen-Mansfield Agitation Inventory (CMAI)Neuropsychiatric symptoms (agitation), using the Neuropsychiatric Inventory (NPI)Number of family visits was not associated with CMAI agitation caseness (OR 0.984, 95% CI 0.914-1.059) or NPI agitation caseness (OR 0.990, 95% CI 0.976-1.005)
 Marx, 1990United StatesNursing home residents (N=408)None specifiedCross-sectionalSocial network (quality and size/density), using the Hebrew Home Social Network rating Scale (HHSNRS)Aggression (physical, verbal, sexual, and self-abuse), using the Cohen-Mansfield Agitation Inventory (CMAI)Poor quality of social network associated with aggression, including physical, verbal, and self-abuse (P < .05)
Mood, affect, and emotion (n=8 studies)
 Beerens, 2018The NetherlandsLong-term care residents with dementia (N=115)Inclusion: a formal diagnosis of dementiaCross-sectionalSocial interaction, using the Maastricht Electronic Daily Life Observation-tool (MEDLO-tool)Mood, using the Maastricht Electronic Daily Life Observation-tool (MEDLO-tool)Social interaction was associated with higher (positive) mood (P < .001)
 Cheng, 2010Hong KongNursing home residents (N=71)Exclusion: moderate to severe cognitive impairment (MMSE score < 18)Cross-sectionalSocial network, using the network mapping procedureSocial support (received and provided)Social engagement (visits), using contact frequencyPositive affect, using the Chinese Affect ScaleNetwork size, contact with family, support from family, support from staff and fellow residents, and support provided to all network members were all associated with positive affect (P < .05)
 Cohen-Mansfield, 1993United StatesNursing home residents (N=408)None specifiedCross-sectionalSocial network, using the Hebrew Home Social Network Rating ScaleDepressed affect, using the Depression Rating Scale.Poor quality of social networks associated with depressed affect
 Gilbart, 2000CanadaContinuing care and long-term care residents (N=385)None specifiedNot statedSocial support, using questions about type and level of support provided by a number of possible significant othersSocial engagement, using the RAI Index of Social Engagement (ISE)Affect, using the Short Happiness and Affect Research Protocol (SHARP)Positive and negative affectivity, using the Measure of the Intensity and Duration of Affective States (MIDAS)Mood state, using RAI Mood State Resident Assessment ProtocolsSocial engagement was positively associated with SHARP (P = .0001) and MIDAS scores (P = .0001) but inversely associated with mood state problems (P = .0002)
 Jao, 2018United StatesNursing home residents (N=126)Inclusion: diagnosis of dementia following Diagnostic and Statistical Manual of Mental Disorder, Fourth Edition (DSM-IV) and MMSE scores between 7 and 24CohortSocial interaction, using the Passivity in Dementia Scale (PDS)Affect, using the Philadelphia Geriatric Center Apparent Affect Rating Scale; 2 positive affect states (interest and pleasure) and 3 negative affect states (anxiety, anger, and sadness) were includedSocial interaction was associated with higher interest and pleasure at within- and between-person levels (P < .001); increased social interaction significantly predicted higher sadness (P = .01) and anxiety (P < .001) at the within-person level; social interaction was not associated with anger
 Kroemeke, 2016PolandNursing home residents (N=180)Inclusion: no cognitive disorder (no diagnosis of dementia or mild cognitive impairments)Cross-sectional (at baseline) and longitudinal (after 1 mo)Social support (received and provided), using the Berlin Social Support Scales (BSSS)Positive affect, using 3 items (joy, satisfaction, and optimism) from the Positive and Negative Affect Schedule (PANAS)In cross-sectional analysis, there was a significant positive relationship between providing and receiving support and positive affect; in longitudinal analysis, neither received support nor given support were associated with positive affect
 Lee, 2017United StatesNursing home and assisted living residents (N=110)Inclusion: diagnosis of dementia following Diagnostic and Statistical Manual of Mental Disorder, Fourth Edition (DSM-IV) and MMSE score < 24Cross-sectionalSocial interaction, using observations of interaction between nursing staff and nursing home residents (verbal or nonverbal; positive, negative, or neutral)Positive and negative emotional expressions, using observationsVerbal (P < .01) and verbal + nonverbal (P < .01) interactions were associated with positive emotional expressions; verbal + nonverbal (P = .01) interactions were associated with negative emotional expressions.Positive (P < .01) and neutral interactions (P < .01) were associated with positive emotional expression; neutral (P = .00) and negative interactions (P = .02) were associated with negative emotional expression
 Sherer, 2001IsraelNursing home residents (N=43)Exclusion: Alzheimer's diseaseCross-sectionalSocial network, using 25 open-ended questions about number of friends, whether they visit them, when, frequency of visits, duration, content of visits, what was good or bad about them, satisfaction from visits, and frequency of other communicationsMorale, using the Philadelphia Geriatric Center Morale Sub-Scales for agitation (anxiety and dysphoric mood), attitudes toward own aging, and lonely dissatisfactionNumber of friends had a positive association with attitudes toward aging (P < .05); meeting friends had a positive association with the 3 morale variables (P < .05); duration of visits was not related to morale levels
Anxiety (n=3 studies)
 Ahmed, 2014EgyptGeriatric home residents (N=240)Exclusion: cognitive impairment (MMSE score < 25)Cross-sectionalLoneliness, using a 3-item loneliness scaleAnxiety, using the Arabic version of the Hamilton Anxiety ScaleLoneliness often (OR 4.46, 95% CI 1.36-14.68; P = .014) was associated with anxiety but not loneliness sometimes OR 2.47, 95% CI 0.64-9.54; P = .19)
 Drageset, 2013NorwayNursing home residents (N=227)Inclusion: “cognitively intact” [0.5 or less on the Clinical Dementia Rating Scale (CDR)]Cross-sectionalSocial support, using the revised Social Provision Scale (SPS): attachment, social integration, opportunity of nurturance and reassurance of worthAnxiety, using the Hospital Anxiety and Depression Scale (HADS)The social support subdimension of attachment was associated with less anxiety (OR 0.97, 95% CI 0.94, 0.99; P = .019)
 Keister, 2006United StatesNew nursing home residents (N=114)None specifiedCross-sectionalSocial support, using the Modified Inventory of Socially Supportive Behaviors assessing 4 dimensions of social support (informational, tangible, emotional, and integration support)Anxiety, using the State-Trait Anxiety InventoryOne aspect of social support was positively associated with anxiety; as informational support increased, anxiety increased (P < .05)
Medication use (n=3 studies)
 Foebel, 2015CanadaLong-term care residents (N=47,768)None specifiedCohortSocial engagement, using RAINew antipsychotic medication use, using RAI measure of drugs in the 7 d prior to assessmentReduced social engagement associated with lower risk of new antipsychotic use (OR 0.78, 95% CI 0.71-0.87; P < .001)
 Hjaltadóttir, 2012IcelandNursing home residents (N=3694)None specifiedNot statedSocial engagement, using the RAI Index of Social Engagement (ISE)Hypnotic drug use, using RAI data on drug use for more than 2 d in past weekCompared to residents with higher social engagement, moderate (OR 1.06, 95% CI 0.93-1.22) and low (OR 0.92, 95% CI 0.80-1.06) social engagement not associated with hypnotic drug use
 Saleh, 2017CanadaNewly admitted residents (N = 2639)Inclusion: diagnosis of Alzheimer's disease or other dementiasCross-sectionalSocial engagement, using the RAI Index of Social Engagement (ISE)Antipsychotic medication use, using RAI measure of drugs in the 7 d prior to assessmentSocial engagement was associated with antipsychotic use when controlling for sociodemographic variables (OR 0.86, 95% CI 0.82-0.90; P <.001) but association disappeared when controlling for health variables (OR 0.97, 95% CI 0.97-1.00; P = .21)
Cognitive decline (n=2 studies)
 Freeman, 2017CanadaNursing home residents (N=111,052)Included, results stratified by diagnosis of dementiaCohortSocial engagement, using the RAI Index of Social Engagement (ISE)Cognitive performance, using the RAI Cognitive Performance Scale (CPS)Social engagement was protective against cognitive decline (P < .001), and more pronounced for residents without a diagnosis of dementia
 Yukari, 2016Czech Republic, England, Finland, France, Germany, Israel, Italy, and the NetherlandsNursing home residents (N=1989)None specifiedCohortSocial engagement, using 7 items, similar to the RAI Index of Social Engagement (ISE)Cognitive performance, using the RAI-MDS Cognitive Performance Scale (CPS)Lower social engagement associated with a greater cognitive decline; the greatest cognitive decline observed among socially disengaged residents with dual sensory impairment (1.87; 1.24:2.51).
Death anxiety (n=2 studies)
 Azaiza, 2010IsraelNursing home residents (N=65)None specifiedCross-sectionalSocial support, using the Social Support ScaleDeath and dying anxiety, using 2 scales based on Carmel and Mutran (1997)Higher social support was associated with lower death anxiety (P < .05)
 Mullins, 1982United StatesNursing home residents (N=228)None specifiedCross-sectionalSocial support, using subjective assessment of the extent of the social support the resident received from othersDeath anxiety, using the Death Anxiety ScaleAmong younger residents (age < 75 y), lack of social support associated with higher death anxiety
Boredom (n=2 studies)
 Ejaz, 1997United StatesNursing home residents (N=175)Inclusion: cognitively alertCross-sectionalSocial engagement (inside the nursing home), using RAI-MDS variable for group activities that involve social interaction and time spent aloneSocial network (inside the nursing home), using the total number of people (residents and staff) to whom the resident felt close and friendship with other residentsSocial interaction (inside the nursing home), using positive interactions and negative interactionsSocial engagement (outside the nursing home), using variables for each of the number of visits from family and friends in past monthBoredom, using interview item that asked subjects to rate how often they were bored in the nursing homeNegative social relationships associated with boredom (P < .01)
 Slama, 2000United StatesVeterans Home residents (N=35)Inclusion: cognitively intact per Section B (Cognitive Patterns) of the Minimum Data Set (MDS)Cross-sectionalLoneliness, using the UCLA Loneliness ScaleBoredom, using question from Geriatric Depression Scale (GDS)Loneliness was correlated with boredom (P = .009)
Suicidal thoughts (n=2 studies)
 Zhang, 2018ChinaNursing home residents (N=205)Exclusion: a diagnosis of “dementia” or moderate to severe cognitive deficit (MMSE score < 16 for participants with no formal education and a MMSE score <20 for primary school graduates or above)Cross-sectionalSocial support, using the Multidimensional Scale of Perceived Social Support (MSPSS)Suicidal thoughts, using item 9 of the Beck Depression Inventory (BDI)In univariate analysis, those with suicide thoughts reported lower social support from family (P < .001), friends (P < .001), and significant others (P < .001); perceived social support from family, friends, and significant others moderated the relationship between physical health and suicidal thoughts
 Zhang, 2017ChinaNursing home residents (N=205)Exclusion: a diagnosis of “dementia” or moderate to severe cognitive impairment (MMSE score < 16 for participants with no formal education and an MMSE score <20 for primary school graduates or above)Cross-sectionalLoneliness, using the UCLA Loneliness ScaleSocial engagement, using the frequency of visits with their children, and the numbers of different types of social activities in which they engagedSuicidal ideation, using item 9 of the Beck Depression Inventory (BDI)In univariate analysis, those who had higher loneliness, fewer visits from their children, and participated in fewer social activities all had higher suicidal ideation scores (P < .05); in path analysis, results suggest loneliness can impact suicidal ideation, mediated by depression and hopelessness; frequency of visits and engagement in social activities can also affect suicidal ideation (mediated by loneliness or self-esteem, respectively)
Psychiatric morbidity (n=1 study)
 Andrew, 2005EnglandCare home residents (N = 2493)None specified (but use of proxy respondents based on the results of a cognitive function screen)Cross-sectionalSocial engagement, using group participationSocial support, using the Social Support Index (SSI)Psychiatric morbidity, using the General Health Questionnaire (GHQ), where scores ≥4 were taken to define a “case” of psychiatric morbidity, and scores <4 a “non-case”Severe lack of social support associated with increased odds of psychiatric morbidity (OR 1.62, 95% CI 1.05-2.52) but not moderate lack of social support (OR 0.87, 95% CI 0.53-1.41); no association between group participation and psychiatric morbidity (OR 0.95, 95% 0.88-1.03)
Daily crying (n=1 study)
 Palese, 2018ItalyNursing home residents (N=8875)None specifiedCross-sectionalSocial engagement, using involvement in socially based activitiesDaily crying, defined as the occurrence of at least 1 episode of crying daily over the last monthResidents involved in socially based activities were less likely to cry on a daily basis (OR 0.882, 95% CI 0.811-0.960)

Study reports more than 1 mental health outcome.

Summary of Studies Included in Question 1, Total Number of Studies Included and Number of Studies With Statistical Evidence of Positive Impact of 1 (or More) Measures of Social Connection on the Mental Health Outcome Some studies included multiple outcomes; total does not reflect number of studies included in review. Where studies report unadjusted and adjusted estimates, classified by adjusted estimates; where studies report cross-sectional and longitudinal analyses, classified by longitudinal analysis.

Depression

There were 35 studies that tested the association between social connection and depression. Most (n=28) of the studies were cross-sectional. Better social connection was associated with less depression in 28 studies.43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70 One study showed a cross-sectional association at baseline but not in the longitudinal (1-month follow-up) analysis. Five studies did not find statistically significant associations,72, 73, 74, 75, 76 and 1 found social support was associated with increased depression among new nursing home residents.

Responsive Behaviors

Nine studies tested the association between social connection and responsive behaviors, typically reporting physical and verbal expression outcomes. Six studies found that social connection was associated with a decrease in some responsive behaviors, , 78, 79, 80, 81, 82 but one study found number of family visits was not associated with agitation and another found high social interaction was associated with increased agitation. One study found that social engagement was associated with a decrease in responsive behavior only among residents without dementia.

Mood, Affect, and Emotions

Eight studies tested the association between social connection and mood, affect, and emotion outcomes. All provide some evidence that social connection was associated with better mood, affect, and emotions , 86, 87, 88, 89, 90, 91 although one study showed cross-sectional associations at baseline did not extend to longitudinal analysis (with 1-month follow-up) and 2 studies reported that, among residents with dementia, social interaction was associated with both positive and negative affect and expressions (and the quality of interaction, positive, negative or neutral, may differentiate positive and negative expressions).

Anxiety

Three cross-sectional studies tested the association between social connection and anxiety. Two studies reported that better social connection was associated with less anxiety, , whereas 1 study of new residents found that higher informational social support was associated with more anxiety.

Cognitive Decline

Two cohort studies, both using data from the Resident Assessment Instrument (RAI), tested the association between social engagement and cognitive performance; both found that more social engagement was associated with less cognitive decline. ,

Other Mental Health Outcomes

Three studies used RAI data to test the association between social engagement and (antipsychotic or hypnotic) medication use but produced mixed results. , , Two cross-sectional studies reported associations between social support and lower death anxiety. , Two cross-sectional studies reported impacts of social support, loneliness, and social engagement in relation to suicidal ideation. , Two cross-sectional studies reported that better social connection was associated with less boredom. , Studies also linked social connection to daily crying and psychiatric morbidity.

What Interventions/Strategies Support Social Connection for People Living in LTC Homes in the Context of Infectious Disease Outbreaks Like COVID-19?

After reviewing the studies that met criterion 2 or 3, our team identified 12 interventions and strategies as potentially quick and relatively low-cost to implement and adapt in the current COVID-19 pandemic. There were 23 observational studies and 49 intervention studies that reported social connection outcomes and were relevant to these 12 strategies (see Table 3 and Supplementary Table 2). Among observational studies, the most commonly investigated aspect of social connection was social engagement (n=12; 52%), most often using health administrative data and the RAI index of social engagement. Among intervention studies, the most commonly investigated aspect of social connection was loneliness (n= 18; 37%), most often using the UCLA Loneliness Scale.
Table 3

Summary of Studies Included in Question 2, Total Number of Studies Included and Number of Studies With Statistical Evidence of Positive Impact of Strategy on 1 (or More) Measures of Social Connection, by Study Type (Observational or Intervention)

Question 2: Interventions or Strategies to Support Social ConnectionTotal (nstudies)Number of Observational Studies Reporting
Number of Intervention Studies Reporting
ExposureAssociated With Social ConnectionInterventionPositive Impact on Social Connection
Manage pain138354
Address vision and hearing loss98811
Sleep at night, not during the day32111
Find opportunities for creative expression50055
Exercise82063
Maintain religious and cultural practices33200
Garden, either indoors or outside50053
Visit with pets14111310
Use technology to communicate40042
Laugh together30031
Reminisce about events, people, and places70076
Address communication impairments and communicate nonverbally55500

Some studies included multiple exposures/interventions; total does not reflect number of studies included in review.

Supplementary Table 2

Summary of Studies Used to Address Question 2, Presented According to Strategy and Study Type (Observational or Intervention)

1. Manage Pain
Observational studies
First Author, YearCountryPopulation (N=)Inclusion/Exclusion Related to CognitionStudy DesignExposureSocial OutcomeStudy Finding
Almenkerk, 2015The NetherlandsNursing home residents with chronic stroke (N=274)None specifiedCross-sectionalPain, using Resident Assessment Instrument- Minimum Data (RAI-MDS)Social engagement, using RAI-MDS Revised Index for Social Engagement (RISE)Substantial pain was associated with low social engagement (OR 4.25, 95% CI 1.72-10.53; P < .05), but only in residents with no/mild or severe cognitive impairment; this relation disappeared adjusted for Neuropsychiatric Inventory Questionnaire score (OR 1.95, 95% CI 0.71-5.39)
Klapwijk, 2016The NetherlandsNursing home residents with dementia (N=288)Inclusion: moderate to very severe dementia, using the Reisberg Global Deterioration Scale (Reisberg GDS) 5-7Cross-sectionalPain, using the Pain Assessment Checklist for Seniors with Limited Ability to Communicate (PACSLAC-D)Social relations, using the QUALIDEMSocial isolation, using the QUALIDEMIn unadjusted analysis, pain was associated with social relations (OR 0.88, 95% CI 0.83-0.94; P < .01) and social isolation (OR 0.88, 95% CI 0.82-0.94; P < .01). Associations were no longer statistically significant in multivariable analysis.
Lai, 2015Hong KongNursing home residents (N=125)None specifiedCross-sectionalPainSocial relationships, using the WHOQOL-BREFPain associated with lower social relationships score (P < .001)
Lood, 2017SwedenNursing home residents (N=4451)None specifiedCross-sectionalPain, using the Pain Assessment in Advanced Dementia ScaleSocial engagement, using a list of study-specific items on participation (eg, going on an outing/excursion, having everyday conversations with staff not related to care)Pain was correlated with less participation in social occupations (P < .01); however, it was no longer statistically significant in the adjusted model
Tse, 2013Hong KongNursing home residents (N=535)Exclusion: mental disorder or cognitive impairmentCross-sectionalPain, using an 11-point numeric rating scale (NRS)Loneliness, using the UCLA Loneliness ScaleIn unadjusted analysis, pain was not associated with loneliness (P = .557).
Tse, 2012Hong KongNursing home residents (N=302)None specifiedCross-sectionalPain, using the Geriatric Pain AssessmentLoneliness, using the UCLA Loneliness ScaleIn unadjusted analysis, pain associated with higher loneliness (P = .05).
Van Kooten, 2017The NetherlandsNursing home residents (N=199)Inclusion: diagnosis of dementiaExclusion: Parkinson disease dementia, alcohol-related dementia, cognitive deficits due to psychiatric disordersCross-sectionalPain, using the Mobilization ObservationBehavior Intensity Dementia (MOBID-2) Pain ScaleSocial relations, using the QUALIDEMThe association between pain and social relations was not statistically significant for mild (P = .25) or moderate-severe pain (P = .25)
Won, 2006United StatesNursing home residents with persistent pain (N=10,372)Exclusion: moderate to severe cognitive impairment based on a Cognitive Performance Scale (CPS) score of >2 (equivalent of <19 in MMSE)CohortAnalgesic use, standing long-acting opioids (vs standing-acting opioids; standing nonopioids; and no analgesics)Social engagement, using RAI-MDS Index of Social EngagementStanding long-acting opioids (vs standing nonopioids) were associated with improvements in social engagement (propensity adjusted rate ratio 1.60; 95% CI, 1.02-2.48)

Study listed under more then one strategy.

Summary of Studies Included in Question 2, Total Number of Studies Included and Number of Studies With Statistical Evidence of Positive Impact of Strategy on 1 (or More) Measures of Social Connection, by Study Type (Observational or Intervention) Some studies included multiple exposures/interventions; total does not reflect number of studies included in review.

Manage pain

Eight observational studies tested the association between pain and social relationships or loneliness.104, 105, 106, 107, 108, 109, 110, 111 Two studies found that pain was associated with reduced social relationships scores and increased loneliness. Another study showed that, among residents with persistent pain, analgesic use was associated with improved social engagement. Five studies found no association between pain and social connection. , , , , However, 3 of these studies reported that the association between pain and social connection only disappeared after adjusting for other variables, , , including in a study that suggested influence of pain on social engagement may depend on the level of cognitive impairment. Of the 5 intervention studies addressing pain, 4 showed beneficial impact on social interaction and involvement, social relations, and loneliness , whereas 1 showed no impact on loneliness.

Address vision and hearing loss

Seven observational studies, all using RAI-MDS data, consistently showed an association between visual impairment and lower social engagement.117, 118, 119, 120, 121, 122, 123 For residents with cataracts, cataract surgery was associated with improvements in social interaction. One randomized controlled trial, assessing the effect of treating uncorrected refractive error (getting glasses), showed improved social interaction. Although fewer studies linked hearing impairment to social engagement, , and some find no association, , , taken in context with the apparent influence of dual sensory loss, hearing loss should also be addressed.

Sleep at night, not during the day

One observational study found that sleep disturbances were associated with lower levels of social engagement whereas another found no association between sleep difficulties and social relationships. One intervention study tested the impact of a sleep intervention and reported increased participation in social activities.

Find opportunities for creative expression

Five intervention studies tested the impact of creative expression programs, such as art, music, and storytelling, on social connection; 3 reported improvements in social engagement and social interaction, but there were mixed results for social relations and social isolation.130, 131, 132

Exercise

Two observational studies found the associations between physical activity or participation in physiotherapy and social connection were not statistically significant. , Six intervention studies tested the impact of exercise programs. Of the 2 studies that tested the impact of tai chi, one reported improvement in social relationships and the other found no impact on social support. For other physical activity interventions, one study reported no change in social relations, another reported improvements in social participation, and the third, carried out among residents with chronic pain, found decreased loneliness. Another study that tested the combination of qigong and art suggested that only the art intervention affected social relationships.

Maintain religious and cultural practices

Three observational studies tested associations between social connection and religious activities, spirituality, and faith. One reported that, for both African American and white nursing home residents, preference for religious activities and drawing strength from faith were associated with higher social engagement. Another showed that religious coping was positively associated with social support. The third study reported that the association between spirituality and social engagement was not statistically significant.

Garden, either indoors or outside

Five studies tested the effect of horticulture and indoor gardening programs for LTC residents. Three studies that compared the program to usual care found that the gardening programs were associated with improvements in social relationship and loneliness outcomes.141, 142, 143 However, the 2 studies that compared the programs with other interventions found no effect. ,

Visit with pets

Twelve studies assessed the impact of pet interactions and animal-assisted therapy on social connection, and 2 more studied robotic animals. Pet interaction and animal assisted therapy studies showed beneficial impacts on social connection (including reducing loneliness,146, 147, 148, 149 and social interaction) , 150, 151, 152, 153, 154 except in 2 studies. , Another study suggested that any visits (ie, with or without pets) increased social interaction. Two studies assessing the impact of robotic animals reported beneficial impacts on loneliness , and 1 found that the impact of a robotic dog was similar to that of a live dog.

Use technology to communicate

Four studies assessed the impact of communication technology, but 2 were small-scale pilot studies. , The 2 quasi-experimental studies that tested the effect of regular videoconferencing with family members showed beneficial effects for both social support and loneliness. ,

Laugh together

Three intervention studies reported the impact of humor therapy; one study of laughter therapy (using laughter and yoga breathing techniques) reported decreased emotional and social loneliness, whereas the other 2 interventions were not found to reduce loneliness or social disengagement.

Reminisce about events, people, and places

Seven interventions studies tested reminiscence therapy or programs. These studies showed increases in social participation, , social engagement, , social interaction, social network, and decreases in loneliness but not social relationships , or social support. One study found no effect of the intervention on social engagement.

Address Communication Impairments and Communicate Nonverbally

Five observational studies showed that impaired receptive (understanding others) and/or expressive (making oneself understood) communication was associated with reduced social connection. Three studies used RAI-MDS data to examine communication among LTC residents overall , , whereas 2 studies used assessments of expressive and receptive communication in individuals with dementia. ,

Discussion

Our systematic search of published research on social connection in LTC residents identified 133 studies. We found 61 studies that assessed the association between social connection and mental health outcomes; overall, these studies suggest social connection is possibly associated with better mental health in LTC residents. We used 72 observational and intervention studies, combined with stakeholder experience and advice, to highlight 12 strategies that might be used and adapted by LTC residents, families, and staff to help build and maintain social connection in LTC residents. Among the studies linking social connection to mental health outcomes, many had methodological limitations. In particular, some studies did not incorporate strategies to account for confounding and most were cross-sectional, making it impossible to establish temporal order. For example, with respect to the latter, studies included here considered social connection as a predictor of depression whereas others identified in our search considered it an outcome176, 177, 178, 179, 180, 181—in reality, bidirectional relationships are likely. Further, studies that described and compared populations within LTC were infrequent; few studies reported stratified results (eg, by race or ethnicity, , age, sex, or level of cognitive impairment) , , or restricted to certain populations (eg, new residents). , Research assessing differences by resident-level demographic and clinical factors and other characteristics (eg, distinguishing new and established residents) would inform the development of interventions, as would incorporating measures of home-level characteristics. We identified 12 strategies that may help build and maintain social connection in LTC residents during COVID-19. Our review builds on previous reviews of interventions to address social connection among LTC residents33, 34, 35 by also considering observational research and contextualizing findings through consultation with organizations representing LTC residents, families, and staff. However, similar to those reviews, we found limited research evidence and that most intervention studies were not randomized and often excluded residents with cognitive impairment. We also found no studies conducted in the context of infectious disease outbreaks. Although our stakeholders provided insights into the applicability of these strategies during COVID-19, given the frequency of disease outbreaks in LTC homes, more research is needed to address the specific challenges such scenarios present to LTC. We also note 2 important caveats to the strategies we identified. First, some represent fundamental aspects of resident care whereas others will not be relevant to every LTC resident or home. In particular, pain is reported as a measure of nursing home quality, and the importance of addressing sleep, hearing, and vision have previously been highlighted for this population. For other strategies, each resident's needs, values, family situation and circumstances will be distinct just as every LTC home context will present unique challenges and opportunities for implementation; for example, some strategies rely partly or entirely on technology, which presents its own challenges to residents, families, and homes. Second, enacted in the catastrophically common scenario of infection control measures that exclude families and isolate residents from others in the home, all strategies rely on a healthy, sustained LTC workforce. Without these vital interactions with families and other residents, problems of deteriorating mental health among residents are compounded by already-strained LTC staff who are now further challenged to provide care, including social connection, to residents. LTC homes worldwide must be supported to address problems of chronic understaffing and a workforce crisis in LTC. Our scoping review used a comprehensive search strategy to identify published literature that quantified aspects of social connection in LTC residents. Still, we acknowledge certain limitations. First, we did not review intervention studies using social connection as a means of addressing some other outcome (eg, responsive behaviors).189, 190, 191, 192 Although we had intended to include such studies, in practice, categorizing interventions as targeting social connection was difficult to operationalize. We acknowledge that characterizing these studies would have been useful to delineate the associations between social connection and mental health. Second, we did not describe associations among the different social connection variables, that is, how concepts such as social networks, social support, social engagement, loneliness, and social capital relate to one another. Studies that clarify the conceptual underpinnings and relationships among these factors , and the mechanisms by which interventions/strategies might impact social connection will advance knowledge in this area. Third, our definition of social connection excluded outcomes such as eye contact, facial expressions, and body language and this may have disproportionately excluded studies of persons with advanced dementia. New measures of social connection, developed specifically for persons with dementia (and at different dementia severities), , will be helpful for future research in this area. Finally, we initiated this scoping review, prior to the COVID-19 pandemic, to describe the literature but not to make recommendations for practice. As such, we did not include an assessment of the quality of the studies included in our review,19, 20, 21 and this may limit interpretation for policy and practice.

Conclusions and Implications

Our study underscores the importance of social connection for the mental health of residents of LTC homes and identifies strategies that may help build and maintain social connection in this population during COVID-19. Although these findings rely on incomplete evidence, this apparent limitation does not diminish the imperative to address social connection within LTC homes—both during COVID-19 and beyond. Still, further research is needed to explore the role of social connection over time and for different populations within LTC homes as well as in the context of infectious disease outbreaks.
  160 in total

1.  A randomized controlled trial of a specific reminiscence approach to promote the well-being of nursing home residents with dementia.

Authors:  Claudia K Y Lai; Iris Chi; Jeanie Kayser-Jones
Journal:  Int Psychogeriatr       Date:  2004-03       Impact factor: 3.878

2.  Windows to their world: the effect of sensory impairments on social engagement and activity time in nursing home residents.

Authors:  H E Resnick; B E Fries; L M Verbrugge
Journal:  J Gerontol B Psychol Sci Soc Sci       Date:  1997-05       Impact factor: 4.077

3.  Health-related profile and quality of life among nursing home residents: does pain matter?

Authors:  Mimi M Y Tse; Vanessa T C Wan; Sinfia K S Vong
Journal:  Pain Manag Nurs       Date:  2012-03-30       Impact factor: 1.929

4.  Effects of Horticultural Therapy on Psychosocial Health in Older Nursing Home Residents: A Preliminary Study.

Authors:  Yuh-Min Chen; Jeng-Yi Ji
Journal:  J Nurs Res       Date:  2015-09       Impact factor: 1.682

5.  Case-controlled study of nursing home residents referred for treatment of vocally disruptive behavior.

Authors:  B Draper; J Snowdon; S Meares; J Turner; P Gonski; B McMinn; H McIntosh; L Latham; D Draper; G Luscombe
Journal:  Int Psychogeriatr       Date:  2000-09       Impact factor: 3.878

6.  Human-pet interaction and loneliness: a test of concepts from Roy's adaptation model.

Authors:  M M Calvert
Journal:  Nurs Sci Q       Date:  1989       Impact factor: 0.883

7.  The impact of depression and sense of coherence on emotional and social loneliness among nursing home residents without cognitive impairment - a questionnaire survey.

Authors:  Jorunn Drageset; Birgitte Espehaug; Marit Kirkevold
Journal:  J Clin Nurs       Date:  2012-01-18       Impact factor: 3.036

8.  Correlates of institutionalized senior veterans' quality of life in Taiwan.

Authors:  Hsiao-Ting Chang; Li-Fan Liu; Chun-Ku Chen; Shinn-Jang Hwang; Liang-Kung Chen; Feng-Hwa Lu
Journal:  Health Qual Life Outcomes       Date:  2010-07-17       Impact factor: 3.186

9.  Predictors of depressive symptoms in older adults living in care homes in Thailand.

Authors:  Suhathai Tosangwarn; Philip Clissett; Holly Blake
Journal:  Arch Psychiatr Nurs       Date:  2017-09-21       Impact factor: 2.218

10.  Uncovering the Devaluation of Nursing Home Staff During COVID-19: Are We Fuelling the Next Health Care Crisis?

Authors:  Katherine S McGilton; Astrid Escrig-Pinol; Adam Gordon; Charlene H Chu; Franziska Zúñiga; Montserrat Gea Sanchez; Veronique Boscart; Julienne Meyer; Kirsten N Corazzini; Alessandro Ferrari Jacinto; Karen Spilsbury; Annica Backman; Kezia Scales; Anette Fagertun; Bei Wu; David Edvardsson; Michael J Lepore; Angela Y M Leung; Elena O Siegel; Maiko Noguchi-Watanabe; Jing Wang; Barbara Bowers
Journal:  J Am Med Dir Assoc       Date:  2020-06-11       Impact factor: 4.669

View more
  19 in total

1.  Ethical challenges experienced by care home staff during COVID-19 pandemic.

Authors:  Helen Yl Chan; Ya-Yi Zhao; Li Liu; Yuen-Yu Chong; Ho-Yu Cheng; Wai-Tong Chien
Journal:  Nurs Ethics       Date:  2022-07-07       Impact factor: 3.344

Review 2.  Home- and community-level predictors of social connection in nursing home residents: A scoping review.

Authors:  Sara Clemens; Katelynn Aelick; Jessica Babineau; Monica Bretzlaff; Cathleen Edwards; Josie-Lee Gibson; Debbie Hewitt Colborne; Andrea Iaboni; Dee Lender; Denise Schon; Ellen Snowball; Katherine S McGilton; Jennifer Bethell
Journal:  Health Sci Rep       Date:  2022-07-20

3.  Nursing Home Palliative Care During the Pandemic: Directions for the Future.

Authors:  Kacy Ninteau; Christine E Bishop
Journal:  Innov Aging       Date:  2022-05-09

4.  Health impact of the first and second wave of COVID-19 and related restrictive measures among nursing home residents: a scoping review.

Authors:  Marjolein E A Verbiest; Annerieke Stoop; Aukelien Scheffelaar; Meriam M Janssen; Leonieke C van Boekel; Katrien G Luijkx
Journal:  BMC Health Serv Res       Date:  2022-07-15       Impact factor: 2.908

Review 5.  Non-pharmacological measures implemented in the setting of long-term care facilities to prevent SARS-CoV-2 infections and their consequences: a rapid review.

Authors:  Jan M Stratil; Renke L Biallas; Jacob Burns; Laura Arnold; Karin Geffert; Angela M Kunzler; Ina Monsef; Julia Stadelmaier; Katharina Wabnitz; Tim Litwin; Clemens Kreutz; Anna Helen Boger; Saskia Lindner; Ben Verboom; Stephan Voss; Ani Movsisyan
Journal:  Cochrane Database Syst Rev       Date:  2021-09-15

6.  Psychological and Functional Impact of COVID-19 in Long-Term Care Facilities: The COVID-A Study.

Authors:  Elisa Belén Cortés Zamora; Marta Mas Romero; María Teresa Tabernero Sahuquillo; Almudena Avendaño Céspedes; Fernando Andrés-Petrel; Cristina Gómez Ballesteros; Victoria Sánchez-Flor Alfaro; Rita López-Bru; Melisa López-Utiel; Sara Celaya Cifuentes; Laura Plaza Carmona; Borja Gil García; Ana Pérez Fernández-Rius; Rubén Alcantud Córcoles; Belén Roldán García; Luis Romero Rizos; Pedro Manuel Sánchez-Jurado; Carmen Luengo Márquez; Mariano Esbrí Víctor; Matilde León Ortiz; Gabriel Ariza Zafra; Elena Martín Sebastiá; Esther López Jiménez; Gema Paterna Mellinas; Esther Martínez-Sánchez; Alicia Noguerón García; María Fe Ruiz García; Rafael García-Molina; Juan de Dios Estrella Cazalla; Pedro Abizanda
Journal:  Am J Geriatr Psychiatry       Date:  2022-01-22       Impact factor: 4.105

Review 7.  Social connection and physical health outcomes among long-term care home residents: a scoping review.

Authors:  Kaitlyn Lem; Katherine S McGilton; Katelynn Aelick; Andrea Iaboni; Jessica Babineau; Debbie Hewitt Colborne; Cathleen Edwards; Monica Bretzlaff; Dee Lender; Josie-Lee Gibson; Jennifer Bethell
Journal:  BMC Geriatr       Date:  2021-12-18       Impact factor: 3.921

8.  Social Connection is Essential in Long-Term Care Homes: Considerations During COVID-19 and Beyond.

Authors:  Jennifer Bethell; Hannah M O'Rourke; Heather Eagleson; Daniel Gaetano; Wayne Hykaway; Carrie McAiney
Journal:  Can Geriatr J       Date:  2021-06-01

9.  The Difficult Balance between Ensuring the Right of Nursing Home Residents to Communication and Their Safety.

Authors:  Matteo Bolcato; Marco Trabucco Aurilio; Giulio Di Mizio; Andrea Piccioni; Alessandro Feola; Alessandro Bonsignore; Camilla Tettamanti; Rosagemma Ciliberti; Daniele Rodriguez; Anna Aprile
Journal:  Int J Environ Res Public Health       Date:  2021-03-03       Impact factor: 3.390

Review 10.  Nursing homes during the COVID-19 pandemic: a scoping review of challenges and responses.

Authors:  Shamik Giri; Lee Minn Chenn; Roman Romero-Ortuno
Journal:  Eur Geriatr Med       Date:  2021-06-16       Impact factor: 1.710

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.