Abstract
Purpose
Physical activity (PA) levels in older care home residents are low. This has detrimental effects on health. Little is known about the nature of interventions to increase physical activity in this population.
Methods
A scoping review to: (1) identify and describe interventions to increase PA in older care home residents, and (2) describe the extent to which interventions address care home context, systemised by social–ecological models. We systematically searched databases for peer-reviewed intervention studies to increase PA in older people resident in care homes. Data were extracted using the template for intervention description and replication (TIDieR) and mapped against a social–ecological framework to locate the intervention focus.
Results
The 19 included studies consisted of interventions tested in randomised or quasi-experimental trial designs. Interventions consisted of single or multiple components and predominantly addressed individual resident level factors (such as muscle strength) rather than broader social and environmental aspects of context. Interventions were not all fully described. For most interventions a distinct theoretical foundation was not identified. Interventions were mostly delivered by health professionals and research staff external to care homes.
Conclusions
Future interventions should address contextual care home factors and should be clearly described according to intervention description guidance.
Implications for rehabilitation
Physical activity holds promise as an effective means of improving health and function in older care home residents, but physical activity levels in this population are low.
Several reasons beyond the individual resident but related to care home contextual factors may explain low PA in care homes
To date, contextual factors influencing PA in care homes have been poorly addressed in interventions.
Wider care home context (social, cultural, and environmental factors) must be considered in future interventions.
Keywords: Care home, nursing home, physical activity, older people, physical function
Introduction
Care homes provide accommodation, personal care and support, and/or onsite nursing care for people who can no longer live independently in their own homes [1]. Admission to a care home is often associated with further functional and health decline and associated adverse outcomes such as increased mortality and reduced quality of life [2]. Importantly, care home residents’ engagement in physical activity (PA)—defined as “any bodily movement produced by skeletal muscle that requires energy expenditure” [3]—has consistently been shown to be low [4–7]. Estimates for PA levels range from 79% [5] to 92% [4] of daytime hours spent physically inactive.
Evidence from systematic reviews indicates that low levels of PA are associated with a high risk of adverse outcomes in care home residents with pressure sores, joint contractures, decreased cardiovascular function, and urinary infections all reported [8]. However, it is increasingly recognised that multimorbidity alone does not account for declines in health and function of older adults [9]. Consequently, sarcopenia—defined as the progressive loss of muscle mass and function [10]—has been identified as an important muscle disorder that is a powerful predictor of adverse health outcomes in older people, independent of clinical disease [11–13]. The prevalence of sarcopenia in the care home population is estimated to be as high as 85% [14], with physical inactivity identified as a major risk factor for the development of sarcopenia [15].
Crucially, low levels of PA are associated with the development of frailty [16]. There are generally two ways of defining frailty; the phenotype model [13] and the deficit accumulation model [17]. The phenotype model defines physical frailty as reduced reserve capacity which can be expressed as weight loss, exhaustion, weakness, slowness, and reduced physical activity [13]. The deficit accumulation model is defined more broadly as an increased risk of adverse outcomes as a result of older peoples’ reduced ability to respond to stress because of the accumulation of multiple deficits [17,18]. As such, frailty can be assessed by considering an individual’s morbidities, extent of physical frailty, and dependence in activities of daily living [17,19]. Given this broad definition, the vulnerability of older care home residents to developing frailty [20], and the association between low PA and frailty [16], it is therefore important to explore ways of increasing PA levels in care home residents.
As well as physical benefits of PA, wider psychosocial benefits are also reported in terms of slowing cognitive decline [21] and improvements in behaviour, mood, and sleep [22–24]. Systematic review evidence of interventions to increase PA reports short and medium term improvements in clinically relevant outcomes in older people with depression [25]. In addition, PA has been shown to mitigate impairment in domains of cognition, and psychological health in older people with mild cognitive impairment and dementia [26,27], and is therefore recommended for older people across a range of settings, including in care homes [26].
Several reasons beyond the individual resident but related to care home contextual factors may explain low PA in care homes [28]. First, organisational culture in care homes may influence PA. Organisational culture in care homes is often defined by rules, procedures, and entrenched social norms [29] and may leave little room for latitude or spontaneity, thus reducing PA opportunity [30]. Care home staff may not adopt standalone interventions that aim to increase levels of PA for reasons that include perceived risk to the resident, low belief in their utility, insufficient training and support, workload concerns, and high staff turnover [31]. Changes to work practices are often short-lived because staff often revert to previous habits [31,32]. Pervasive care home routines and negative attitudes to PA among staff and residents may negate an emphasis on promoting PA [33]; however, recent evidence suggests that with carefully designed interventions, it is possible to effect behaviour change among care home staff [34]. For example, recent evidence shows that behaviour change interventions directed at care home staff can improve pressure ulcer management [35] and resident-staff engagement [36]. However, such interventions in care homes require organisational change, capacity for innovation, and ongoing monitoring to maintain changes in practice [37]. Consequently, changing the culture in care homes to one that privileges PA is challenging since care homes with stretched resources may have little capacity to initiate changes that take up carers’ time [38]. Furthermore, there is increasing evidence that the physical environment in care homes may influence the amount of PA undertaken by residents [22,39]. It is therefore evident that residents face a range of complex and multifaceted barriers that need to be considered if understanding of PA in care homes is to advance.
Multiple influences on health behaviour, such as those described above, are captured by social–ecological models (SEMs), a framework that aims to foster understanding of a range of contextual factors that impact individual’s health and related behaviour [40]. SEMs are based on the premise there are multiple levels of influence that drive behaviour including intrapersonal factors (for example, knowledge, attitudes, or beliefs), interpersonal factors (for example, interactions from family, peers, or social networks), social factors (for example, norms and standards), environmental factors (for example, the built environment) and policy factors (for example, regulations and programmes to support healthy decisions) [41–43]. Consequently, to understand behaviour and to develop strategies to increase PA in care homes, it therefore seems necessary to consider not only the individual and their immediate context, but also wider interpersonal interactions and environmental aspects [44,45]. Therefore, a social–ecological approach to increasing PA would ideally target multiple levels to create care home environments conducive to PA. Despite the importance of considering of the influence of context on PA in care homes, it is unclear how previous interventions to promote PA in care homes have been informed by a comprehensive approach that accounts for multiple levels of context. Such an approach may inform sustainable strategies to increase PA levels in care homes.
The present scoping review emerged from the need to map the nature and range of interventions to increase PA in care homes and to identify which SEM levels have been addressed, and which require further investigation. Therefore, the objectives of this review were (1) to identify the nature and range of interventions to increase PA in care homes and (2) to determine the extent to which interventions addressed care home contextual factors at social–ecological levels.
Methods
Overview
A scoping review methodology was chosen because the objectives of the review were to identify knowledge gaps and map the current body of literature [46]. Furthermore, scoping reviews allow the inclusion of different study types, thus allowing the inclusion of multiple study types, for example, randomised controlled trials (RCTs) and quasi-experimental studies. The review follows the stages outlined in the relevant scoping review guidance [47–49]. The methods and results are reported in line with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews (PRISMA-ScR) checklist [50] (see Table 1).
Table 1.
Preferred Reporting Items for Systematic reviews and Meta-Analyses extension for Scoping Reviews (PRISMA-ScR) checklist.
Section | Item | PRISMA-ScR checklist item | Reported on page |
---|---|---|---|
Title | |||
Title | 1 | Identify the report as a scoping review. | 1 |
Abstract | |||
Structured summary | 2 | Provide a structured summary that includes (as applicable): background, objectives, eligibility criteria, sources of evidence, charting methods, results, and conclusions that relate to the review questions and objectives. | 1 |
Introduction | |||
Rationale | 3 | Describe the rationale for the review in the context of what is already known. Explain why the review questions/objectives lend themselves to a scoping review approach. | 1 to 2 |
Objectives | 4 | Provide an explicit statement of the questions and objectives being addressed with reference to their key elements (e.g., population or participants, concepts, and context) or other relevant key elements used to conceptualise the review questions and/or objectives. | 2 |
Methods | |||
Protocol and registration | 5 | Indicate whether a review protocol exists; state if and where it can be accessed (e.g., a Web address); and if available, provide registration information, including the registration number. | N/A |
Eligibility criteria | 6 | Specify characteristics of the sources of evidence used as eligibility criteria (e.g., years considered, language, and publication status), and provide a rationale. | 2 |
Information sources | 7 | Describe all information sources in the search (e.g., databases with dates of coverage and contact with authors to identify additional sources), as well as the date the most recent search was executed. | 4 |
Search | 8 | Present the full electronic search strategy for at least 1 database, including any limits used, such that it could be repeated. | Supplemental Material |
Selection of sources of evidence | 9 | State the process for selecting sources of evidence (i.e., screening and eligibility) included in the scoping review. | 4 |
Data charting process | 10 | Describe the methods of charting data from the included sources of evidence (e.g., calibrated forms or forms that have been tested by the team before their use, and whether data charting was done independently or in duplicate) and any processes for obtaining and confirming data from investigators. | 4 |
Data items | 11 | List and define all variables for which data were sought and any assumptions and simplifications made. | 4 |
Critical appraisal of individual sources of evidence | 12 | If done, provide a rationale for conducting a critical appraisal of included sources of evidence; describe the methods used and how this information was used in any data synthesis (if appropriate). | 4 |
Synthesis of results | 13 | Describe the methods of handling and summarising the data that were charted. | 4 |
Results | |||
Selection of sources of evidence | 14 | Give numbers of sources of evidence screened, assessed for eligibility, and included in the review, with reasons for exclusions at each stage, ideally using a flow diagram. | 8 |
Characteristics of sources of evidence | 15 | For each source of evidence, present characteristics for which data were charted and provide the citations. | Table 3 |
Critical appraisal within sources of evidence | 16 | If done, present data on critical appraisal of included sources of evidence (see item 12). | 8; Supplemental Materials |
Results of individual sources of evidence | 17 | For each included source of evidence, present the relevant data that were charted that relate to the review questions and objectives. | 4-13; Supplemental Materials |
Synthesis of results | 18 | Summarise and/or present the charting results as they relate to the review questions and objectives. | 4-13 |
Discussion | |||
Summary of evidence | 19 | Summarise the main results (including an overview of concepts, themes, and types of evidence available), link to the review questions and objectives, and consider the relevance to key groups. | 13-14 |
Limitations | 20 | Discuss the limitations of the scoping review process. | 14 |
Conclusions | 21 | Provide a general interpretation of the results with respect to the review questions and objectives, as well as potential implications and/or next steps. | 14 |
Funding | |||
Funding | 22 | Describe sources of funding for the included sources of evidence, as well as sources of funding for the scoping review. Describe the role of the funders of the scoping review. | 14 |
Identify the research question
The scoping review question was developed from the need to identify interventions to increase PA in care homes for older people and to explore how context, operationalised at different SEM levels, has been targeted interventions. Two questions were developed for the review:
What is the nature and range of interventions to increase physical activity in care homes (in terms of intervention characteristics, recipients, delivery, theoretical basis, and outcome measures)?
Which SEM level influences on PA in care homes have been targeted by interventions?
Identifying relevant studies
Eligibility criteria
To be included, articles had to focus on the concept of PA within care homes and have PA as an outcome measure, measured either through self-report questionnaires, activity logs, direct observation, or accelerometery. For this review, PA was defined as: any bodily movement that results in energy expenditure [3]. For a study to be included, participants’ mean age had to be over 65 years of age. Participants had to be permanently resident in a care home. Included studies were set in care homes that provide either personal care (for example, washing and dressing), or nursing care (for example, wound care, pressure ulcer management), or a combination of personal and nursing care. No restriction was placed on geographical location. Studies examining interventions aimed at staff, family members, and other members of the resident’s social network were included.
Intervention studies published after 2000 and in English language were included. The date limit was set to include only the most recent literature to ensure that the included studies reflect the contemporary care home context, thus ensuring relevance. The language limit was set because it was felt that resources required for translation would be unlikely to enhance the output of the review.
Clinical commentaries, grey literature, editorials, or other publications with no data were excluded. Studies without an intervention were excluded. Evidence syntheses of any type were excluded; however, their reference lists were checked for relevant studies. Studies involving residents of supported or sheltered housing complexes were excluded. This is because supported or sheltered housing allows older people to live more independently compared to care homes for older people and therefore have different populations and organisation of care.
Search strategies and databases
Systematic searches for peer-reviewed literature were conducted in the following databases: Allied and Complementary Medicine (AMED), Cumulative Index to Nursing and Allied Health Literature (CINAHL), Embase, MEDLINE, and PsychINFO. Databases were searched from 2000 to 24 December 2021. Searches were limited to English language with full-text availability (see Supplemental Materials).
The search strategy used free-text and indexing terms to capture studies that investigated the following concepts: long-term care facilities (both residential and nursing care), physical activity, and physical activity interventions. Search terms within each concept were combined with the Boolean operator OR, and the concepts were then combined with the Boolean operator AND. Truncation was used where required to ensure comprehensive results. Hand searching of reference lists of retrieved studies was conducted.
Study selection
One researcher (GW) screened all retrieved titles and abstracts and applied the inclusion and exclusion criteria and decided on inclusion. One other reviewer (MW) independently screened the abstracts. Decisions were compared, and in cases of disagreement, a third reviewer (TK) adjudicated. Reviewer meetings were held throughout the review process to discuss uncertainties relating to study selection and to further refine the search strategy if required. The reference lists of any identified reviews were checked for relevant primary studies to include. Additionally, scoping reviews are intended to provide a map of what evidence has been produced, rather than seeking only the best available evidence to answer a narrow question [51].
Methodological quality appraisal
The methodological quality of the included articles was assessed using the Mixed Methods Assessment Tool (MMAT) [52]. The MMAT is a widely used tool for the quality appraisal of multiple study types and so is well-suited as a valid indicator of methodological quality for the present scoping review [52,53]. Importantly, the MMAT does not generate a single global score; rather the MMAT presents a detailed rating of each criterion to better inform the quality of the included studies [54]. One reviewer (GW) assessed the quality of the included studies. In line with the exploratory nature of scoping reviews, studies were not excluded based on quality assessment.
Extracting and charting the data
A draft data charting form was developed and piloted with three reviewers (GW, MW, and TK). The form was based on an established and published framework for intervention description [55]. One reviewer (GW) independently extracted and charted the data from all included studies. The following data (where available) were extracted from the included studies: intervention description and content described as per the template for intervention, description, and replication (TIDieR) framework [55], author, year of publication, geographical location of study, study design, levels(s) of SEM addressed by the study, and results.
Included studies were screened to identify the level(s) of the SEM addressed by the interventions. The SEM level was identified according to descriptions of levels drawn from the ecological perspective on health promotion programs [56] and the model for active living communities [44]. Descriptions for each level of the SEM as applied to care homes for older people are provided in Table 2.
Table 2.
Definitions of each social–ecological level used for the review.
Level of social–ecological model | Description |
---|---|
Intrapersonal level [44,56] | Individual factors related to older care home residents such as knowledge, attitudes, and biological characteristics. |
Interpersonal level [44] | Formal and informal social networks and social support systems; characteristics of care home staff, relatives, and peers. |
Organisational factors [44] | Factors related to care home organisation, rules, and regulations, both implicit and explicit |
Perceived environment [56] | Safety, attractiveness, comfort, convenience, and accessibility of care home residents’ immediate physical environment. |
Public policy [44,56] | Local and national policies and procedures as related to care homes |
Collating, synthesising, and reporting the results
A narrative thematic summary was conducted describing how the identified research relates to the review objectives and questions [57]. The results of the included studies were organised to describe patterns in terms of outcome measures, intervention characteristics and the effects reported. The types of interventions were sorted and presented according to their main characteristic (for example, behavioural intervention or environmental modification) including the social–ecological level(s) where the intervention operated.
Results
Overview of included studies
The flow of studies through the quantitative review is shown in Figure 1. The search yielded a total of 10 975 non-duplicate citations, from which 173 studies were deemed as being potentially relevant and were reviewed in full. Seven studies were identified through reference searching. One hundred sixty-one studies were excluded following full-text review. Nineteen studies were included in the final review; 10/19 (53%) were randomised controlled trials [58–67]; Two of these were cluster RCTs [59,67]; 9/19 (47%) were quasi-experimental designs [68–76]. Of the quasi-experimental studies, 3/19 (%) were exploratory pilot feasibility studies [68,69,76]. Included studies were all from high income countries with the majority from the USA: USA 6/19 (32%); Spain 2/19 (11%); Netherlands 2/19 (11%); UK 2/19 (11%); Australia 2/19 (11%); Scandinavia 1/19 (5%), China 1/19 (5%); Portugal 1/19 (5%); Belgium 1/19 (5%); and Poland 1/19 (5%). The search results indicated a trend toward an increasing number of intervention studies to increase physical activity in care homes over time. In total, the intervention studies provided data on 2 445 care home residents. The mean age of the participants was 85 years [SD = 8.25]. In terms of age and sex profile (mean age >80, majority female) the sample characteristics of the participants enrolled into these studies were representative of older care home residents [77].
Figure 1.
PRISMA flow diagram.
Eleven studies (58%) (12 papers) evaluated interventions to increase physical activity using randomised controlled trial designs [58–67,76,78]. Eight studies (42%) (eight papers) evaluated interventions using quasi-experimental designs [68–75]. Of the quasi-experimental designs, two were single group repeated measures design [69,72], three were pre- and post-test design [68,70,74], two were a prospective longitudinal studies with an experimental design [71,75], and one was an unspecified quasi-experimental design [73]. Three studies (four papers) measured PA as a secondary outcome [60,61,65,74]. Table 3 provides an overview of the included intervention studies.
Table 3.
Overview of characteristics of intervention studies.
Author, year (country) | Design & Follow-up time | Brief intervention description and comparator (if available) | Sample size at recruitment (% follow-up) | Physical activity outcome measure(s) used | Mean age of residents (SD) | Key findings relating to physical activity | Level of social–ecological model addressed [1,2] |
---|---|---|---|---|---|---|---|
Arrieta et al., 2018 [58] (Spain) | 2 Arm, multicentre RCT; 3- and 6-month follow-up | Intervention: Multicomponent exercise program; control group: routine activities offered by study care homes | 112 (82%) | Accelerometer (Actigraph GT3X) | 84.9 (DS 6.9) | Increase in LPA (+5.2) and in the number of steps taken + 141). However, this did not reach statistical significance | Intrapersonal |
Chin et al., 2006 [62] (Netherlands) | 4 arm RCT; 6-month follow-up | Intervention: Arm 1: Resistance training; Arm 2: Functional-skills training; Arm 3: Resistance training & functional skills training; Control: Group discussion (placebo) | 157 (70%) | Accelerometer (MTI model 7164); LASA Physical Activity Questionnaire | 82 (SD 7.5) | No significant difference between the groups on habitual PA as measured over 3 consecutive days; reduction in moderate intensity PA in the intervention group (-12.2 min, 95% CI:-23.8 to 0.7) at 6 months | Intrapersonal |
Forster et al., 2021 [78] (UK) | 2 arm cluster RCT; 3-, 6-, 9-follow-up | MoveMore: a whole home intervention involving care home staff designed to encourage and support PA in care home residents | 153 (74%) | Accelerometer (Actigraph GT3X) | 86.4 (SD 7.0) | There was no suggestion of a difference between the arms at 9 months, this equates to an average increase in time spent in any intensity of PA of 18 min in the MoveMore arm (10.9% of accelerometer wear time) and 7 min in the UC arm (12.6% of accelerometer wear time) | Intrapersonal, interpersonal, organisational, policy |
Galik et al., 2008 [69] (USA) | Single group, repeated measures; 6-month follow-up | Motivational intervention: the Restorative Care Intervention for the Cognitively Impaired (Res-Care-CI) | 46 (not reported) | Accelerometer (Actigraph); Physical Activity Survey in Long Term Care (PAS-LTC) | 83 (SD 8.8) | No overall significant change in PA reported in PAS-LTC (F = 0.931, p = 0.43; significant decrease in PA measured by accelerometer in 35 residents (F = 4.93, p = 0.005) at 6 months. 95% CI not reported. | Intrapersonal; interpersonal |
Galik et al., 2014 [63] (USA) | Cluster RCT (4 clusters); 6-month follow-up | Intervention: Function focussed care; Control: Not specified | Residents: 103(100%); Nursing assistants: 77 (not given) | Accelerometer (Actigraph); Physical Activity Survey in Long Term Care (PAS-LTC) | 84 (SD 9.9) | Significant improvement over 24 hr in intervention group at 6 months on PAS-LTC: 74.33 mins (SE = 14.75) vs. 126.05 min, p = 0.01. and activity counts: 32 845 (SE = 7221) vs. 86 288 (SE = 26 684), p = 0.05. 95% CI not reported. | Intrapersonal; interpersonal; policy; perceived physical environment |
Galik et al., 2021 [59] (USA) | Cluster RCT (12 clusters); 4-month and 12-month follow-up | Intervention: Function and behaviour focussed care (policy and environment assessment, education and training, goal setting, nursing home staff training); control: educational component only of Function and behaviour focussed care intervention | 336 (67%) | Accelerometer (Actigraph); Physical Activity Survey in Long Term Care (PAS-LTC) | 82.6 (SD 10.1) | There was a significantly greater increase in time spent in total activity (p = 0.004), moderate activity (p = 0.012), light activity (p = 0.002), and a decrease in resistiveness to care (p = 0.004) in the treatment versus control group at 4 months, but not at 12 months. | Intrapersonal; interpersonal; organisational; Policy; perceived physical environment |
Grönstedt et al., 2013 [64] (Scandinavia) | RCT; 3-month follow-up | Intervention: Multicomponent (Goal setting, physical exercise, training in activities of daily living, staff education | 322 (83%) | Nursing Home Life Space Diameter | 85 (SD 7.8) | Significant increase in PA level in intervention group over 2-week period (p = 0.038). 95% CI not reported. | Intrapersonal |
Hurley et al., 2020 [68] (UK) | Quasi-experimental feasibility pre-test–post-test; 8 month follow-up | Personalised care plan with physical activities tailored for each resident. Report prepared to suggest changes to working practices, and the physical environment to encourage PA | 35 (Not given) | APA (Assessment of physical activity); PAL (Pool activity checklist) | 89 (SD 6.8) | Compared to baseline of 3.56, participant’s engagement with activity increased after intervention to 3.21 (change from baseline − 0.4; 95%CI − 0.72 to − 0.07), but returned to baseline values at 8-months at 3.63 (change − 0.03; 95%CI − 0.35 to 0.29). No data provided on APA |
Intrapersonal; interpersonal; organisational; policy; perceived environment |
Keogh et al., 2014 [73] (Australia) | 2 Group, Quasi-experimental pre-test–post-test; 1-week follow-up | Intervention: Exercise games (Nintendo Wii Sports); Control: usual care | 34 (76%) | Rapid Assessment of Physical Activity Questionnaire | 83 (SD 7.0) | Significant improvement in self-reported PA in intervention group: p = 0.009, effect size d = 1.19 ± 0.71. 95% CI not reported. | Intrapersonal |
Koeneman et al., 2017 [76] (Netherlands) | Exploratory field study − 2 Group Randomised block design; 3-month follow-up | Intervention: Descriptive norm information via devised “news reports” about older people participating in PA and images of older adults engaging in PA. Control group: descriptive norms conveying images and accounts of inactive older adults. | 21 ( not given) | Self-reported participation in organised PA activities | 87 (SD 3.6) | In the control group 2 (22%) participants had taken part in one or more PA related activities versus 8 (80%) participants in the experimental group (Fisher’s exact test, p = 0.027, two-sided) | Intrapersonal |
Liu and Hu, 2015 [70] China | 1 Group Quasi-experimental pre-test–post-test; 1-month follow-up | Intervention: Multicomponent 6 week Go4Life program (exercise guides, goal setting, daily activities); Control: no control group | 39(87%) | International Physical Activity Questionnaire | 76 (SD 4.2) | Significant improvement in PA post-test: 117.21 (SD 53.2) vs. 240.15 (SD 106.96) mins/week: F = 82.93, ==0.01. 95% CI not reported. | Intrapersonal |
Lobo et al., 2010 [71] (Portugal) | 3 arm prospective longitudinal study with experimental design; 15-month follow-up | 4 groups; Interventions: Aerobic training (AT) or strength training (ST) or health education (HE); Control: usual care | 185(75%) | Accelerometer (Actigraph) | 78 (SD 6.9) | Significant improvement in PA in AT (10 915 ± 7112 counts/hour vs. 17 761 ± 8218 counts/hour, p < 0.5) and ST 10 915 ± 7112 vs. 17, 053 ± 5519, p < 0.5) groups. Improvement in PA in HE group (10 915 ± 7112 vs 13 933 ± 6902) but not significant. 95% CI not reported. | Intrapersonal |
Mouton et al., 2017 [75] (Belgium) | Two arm quasi-experimental 3-month follow-up | Intervention: giant exercising board game | 21 (81%) | ActiGraph GT3X+, Actigraph LLC, Pensacola, FL, USA | 86.2 (SD 1.75) | In the intervention group, significant increases of 437 (+14.9%, p = 0.04) and 1162 (+39.8%, p = 0.03) steps/day were observed after the intervention and the follow-up period, respectively. Average steps per day in the control group decreased significantly after the intervention (−817, −24.1%, p = 0.02), but not after the follow-up period (−280, −8.3%, p = 0.22). | Intrapersonal |
Moyle et al., 2018 [67] (Australia) | Three-arm cluster RCT. 5, 10, 15 weeks post-intervention | Control group: usual care. Intervention group one: Plush toy. Intervention group 2: PARO therapeutic robot | 459 (99%) | Sensewear Professional 8.0 activity armband (Temple Healthcare, BodyMedia Inc) | 86 (7.5) | At 10 weeks, the PARO group showed a greater reduction in daytime step count than usual care (p = 0.023), and in night-time step count (p = 0.028) and daytime physical activity (p = 0.026) compared to plush toy group. At post-intervention, the PARO group showed a greater reduction in daytime step count than the plush toy group (p = 0.028), and at night-time compared with both the plush toy group (p = 0.019) and the usual-care group (p = 0.046). The PARO group also had a greater reduction in night-time physical activity than the usual-care group (p = 0.015) | Intrapersonal |
Nawrat-Szoltysik et al., 2018; Nawrat-Szotysik et al., 2019 [60,61] (Poland) | Four-arm RCT. | Control group (group 1) received only pharmacological treatment. In the other 3 groups, the same drug therapy was enhanced by a program of modified Sinaki exercises (group 2), Nordic walking (group 3), and Sinaki exercises and Nordic walking applied together (group 4) | 91 (91%) | Yamax Digi-Walker pedometers (Yamax Health & Sport Inc., San Antonio, USA) | 81 ( SD 8.25) | Locomotor activity (daily number of steps) improved statistically significantly after intervention in groups 3 (p < 0.000) and 4 (p < 0.000). | Intrapersonal |
Pomeroy et al., 2011 [72] USA | Quasi-experimental repeated measures; 4-month follow-up | Intervention: nursing home with optimised person-environment (P-E) fit assessed via the housing enabler instrument; control: non-optimised P-E fit nursing home | 29 (93%) | Accelerometer (Actigraph); Physical Activity Survey in Long Term Care (PAS-LTC) | 87 (SD 6.7) | No differences in PA based on PAS-LTC. Non-optimised nursing home had significantly more PA based on activity count (p = 0.003), and step count (p = 0.02). 95% CI not reported. Authors conclude that changing environment alone may not be enough to bring about PA improvements. | Perceived environment |
Rezola-Pardo et al., 2020 [66] (Spain) | Two arm, single-blinded RCT | Multicomponent exercise program, walking program | 81 (80%) | Actigraph GT3X model, Actigraph LLC, Pensacola, FL, USA | 84 (SD 9.7) | Although both groups showed a trend toward increasing their daily steps (8.7% and 10.9% increases for the multicomponent and walking groups, respectively), the change was not statistically significant. | Intrapersonal; interpersonal |
Schnelle et al., 2010 [65] (USA) | RCT; PA measured at end of 3-month intervention | Intervention: exercise, choice of snacks, fluid intake; control: usual care | 125 (90%) | Wireless movement device (Augmentech) | 86 (SD 10.0) | Statistically significant increase in PA in intervention group, p < 0.001. 95% CI not reported | Intrapersonal |
Simmons and Schnelle, 2004 [74] (USA) | Pre-test/post-test; 6-month follow-up | Intervention: Multicomponent Functional incidental training (prompted toileting, encouragement to walk/wheel, repeat sit-to-stands, goal setting, upper body resistance training, fluid intake) | 130 (68%) | Accelerometer (CalTrac); observation | 88.5 (SD 7.1) | Significant improvement in PA in intervention group across both measures of PA, p < 0.01. | Intrapersonal |
CI: confidence interval; MMSE: mini-mental state exam; PAS-LTC: Physical Activity Survey in Long Term Care; PA: physical activity; RAPA: rapid assessment of physical activity; RCT: randomised controlled trial; SD: standard deviation; SE: standard error.
Quality review
We applied the Mixed Methods Assessment Tool [52] (see Supplemental Materials). In 6/10 (60%) RCTs, there was a clear statement on whether or not participants competed the assigned intervention as planned [58,59,63,64,66,78]. One of these RCTs conducted a detailed process evaluation to explore reasons for participant non-completion [78]. In 3/9 (33%) quasi-experimental studies, the intervention was delivered as intended [69,70,72]. In one RCT, there were differences between the intervention and control groups at baseline; in addition, it was not possible to determine whether the outcome assessors were blinded to participant allocation [65].
It was unclear if quasi-experimental studies accounted for confounders in their analyses. In 5/9 (56%) quasi-experimental studies and 4/10 (40%) RCTs, data were either incomplete, or the completeness of the data were unclear. For the purposes of this review, incomplete outcome data were defined as at least 80% of the planned outcome data available at the study end point [54]. Incomplete data was due to study attrition such as participant withdrawal from the study or loss to follow-up. In studies with missing data, methods of imputation were applied in three studies [59,66,67]. In the quasi-experimental studies, with three exceptions [69,70,72], there was overall lack of clarity on the extent to which participants adhered to the intervention or if interventions were delivered as described in study reports.
Intervention characteristics
The following sections describe the nature and range of interventions according to research question one, with research question two addressed in the final section. Each intervention is described according to the items on the checklist contained in the Template for Intervention Description and Replication (TIDieR guidelines) where it was possible to extract these [55] (see Table 4). The review identified a range of interventions that were aimed at improving PA in care home residents. Interventions could be categorised as either single-component or multifaceted interventions. For this review, we defined single-component interventions as those addressing a single barrier to PA [79]. Multifaceted interventions were defined as any intervention including two or more components [79,80]. Single interventions were either behavioural or exercise interventions, whereas multifaceted interventions included combinations of behavioural interventions, exercise, interventions that included the provision of fluids and snacks, or environmental interventions to modify the social, organisational, or physical environment.
Table 4.
Template for intervention description and replication (TIDieR) for the included studies.
Intervention type | Study, year | Intervention materials | Intervention procedures and/or activities | Intervention provider | Mode of intervention delivery | Frequency and/or duration of intervention | Tailoring | Fidelity |
---|---|---|---|---|---|---|---|---|
Exercise | Arrieta et al., 2018 [58] | Unspecified resistance training equipment | Strength, balance, stretching, and walking recommendations. Specific walking recommendations | Experienced physical trainer | Face to face | 6 months; 2 sets of exercises, between 8 to 12 repetitions each month | Exercise intensity tailored according to tolerance. Individualised walking recommendations (distance and intensity) provided | Adherence determined by attendance at exercise sessions |
Exercise | Chin A Paw, van Poppel and van Mechelen, 2006 [62] | Unspecified resistance training equipment. dumbbells (1 to 5 kg each), ankle and/or wrist weights (1 and 2 kg per pair) | Resistance training: Resistance increased until two sets of 8–12 repetitions were possible. Functional skills training: 30–35 min of skills training in game-like and cooperative activities, such as throwing and catching a ball while standing up and sitting down on a chair, musical chairs and team pursuit races | Physical therapist plus an assistant. Unclear if this is a member of the research team | Face to face to residents. Delivered to groups of 5–7 participants | For the heel raises the number of repetitions were increased if the subjects could lift the maximum weight (2 × 5 kg dumbbells + 2 × 2 kg ankle weights). Twice per week for 6 months | Resistance training: Resistance increased after two sets of 12 repetitions for two consecutive sessions. Functional skills training: Tailored to individual mobility level. Functional skills training: No tailoring described | Exercise logs kept. Fidelity supervised by physical therapists |
Exercise | Keogh et al., 2014 [73] | Nintendo WII gaming system, instructions | 20 min training session. Daily visits during first week of intervention, support provided to participants throughout the intervention period days per week | Research assistant | Face to face to residents | Self-selected | Unclear | Not reported |
Exercise | Lobo, Carvalho and Santos, 2010 [71] | Overhead press | Aerobic Training: continuous walking and dancing with large muscle groups movements. Strength Training: directed to the development of endurance, muscle mass and strength. Health education: Health professionals provided encouragement and reinforcement of the importance about PA |
Qualified and trained instructor and unspecified health professionals | Face to face to residents | Aerobic training: 10 min warm-up, followed by 20 min of aerobic workout, twice a week. Strength training: 2 sets of 6 exercises (each with 8 to 12 repetitions), every 15 days until the first month and then each 4 weeks until the end of the program. Health promotion: 1 h per week | Intensity of strength training gradually increased according to exertion. | Not reported |
Exercise | Nawrat-Szoltysik et al., 2018; Nawrat-Szotysik et al., 2019 [60,61] | Resistance exercise band | Sinaki exercise: stretching, isometric, resistance, and relaxation exercises. Nordic walking: warm-up; 30-min walk duration; relaxation phase | Sinaki exercise: not reported. Nordic walking: Nordic walking instructor | Not reported | Sinaki exercise: 40 min × 2 per week for one year. Nordic walking: 5 to 10 min warm-up; 30-min walk, increased every 3 months; relaxation phase | Sinaki exercise: not reported; Nordic walking: intensity set to 70% of the participants’ maximum heart rate | Not reported |
Exercise | Rezola-Pardo et al., 2020 [66] | Not reported | Strength, balance and stretching exercises | Experienced physical trainer | Face to face | 6 months; 2 sets of exercises, between 8 to 12 repetitions each month | Exercise intensity tailored according to tolerance. Individualised goal setting based on fitness level | Adherence determined by attendance at exercise sessions |
Exercise | Mouton et al., 2017 [75] | Exercise board game | Large board game developed to facilitate strength, balance, flexibility, and endurance activities | Exercise specialist | Face to face | Four supervised exercise sessions were planned on the board game during the first week and then 3, 2, and 1 sessions were planned during the second, third, and fourth week of the intervention | Unspecified adaptations made to account for participants with lower levels of physical fitness | Not reported |
Exercise + snack provision | Schnelle et al., 2010 [65] (2010) | Not reported | Resident checked for incontinence and prompted to use the toilet. Exercise prompts (repeat sit-to-stands and walking or wheelchair propulsion); a choice of food and fluid snack items | Trained research staff | Face to face to residents | 5 weekdays per for 12 weeks. Attempts made to implement the intervention every 2 h for a total of four intervention opportunities per resident per day | Snack and exercise provision tailored to each resident’s ability | Not reported |
Exercise + Behavioural intervention | Grönstedt et al., 2013 [64] | Not reported | Personal treatment goals, physical exercise, ADL training, Daily activities, staff education | Team of one physiotherapist and one occupational therapist | Face to face to residents and staff | The time (minutes/day) spent by each subject in different types of activities and/or exercises every day was recorded, but this is not reported |
Intervention components tailored to each participant depending on the goals set | Not reported |
Exercise + Behavioural intervention | Liu and Hu, 2015 [70] | Go4Life provides information and materials to help older adults solve problems and overcome barriers. Web address provided for intervention details but not active | General information about physical activity; education about the benefits of regular physical activity; identification of barriers to exercise and ways to overcome them; recommendation and practice of different types of exercise;) setting goals |
Researcher | Face to face to residents in class situation | Classes delivered twice per week for two weeks | Individual goal setting | Not assessed, but intervention only delivered by one person across the study to maintain fidelity |
Exercise + Behavioural intervention | Simmons and Schnelle, 2004 [74] | Unclear | Functional incidental training plus prompted toilet use. Residents encouraged to walk and to repeat sit-to-stands eight times with minimum assistance. During one episode per day, each resident, usually while in bed, was given upper body resistance training (arm curls or arm raises). Before and after each care episode, residents were offered fluids | Research staff | Face to face | The intervention was implemented every 2 h, 5 days a week | 75% of the resident’s maximum distance walked or wheeled during the baseline assessment or 75% of the highest weight lifted in one baseline trial. If residents achieved these goals on 90% of their weekly care episodes, goals were increased | Not reported |
Behavioural + environmental | Galik et al., 2014 [63] | Unclear | (1) Environmental and policy assessment; (2) Education; (3) Development of function focussed goals; (4) Mentoring and motivating | Research nurse trained in the intervention | Face to face to both staff and residents one to one and group | Research nurse worked with each site 10 h/week for 6 months | Not reported | Evidence of delivery of the intervention was based on class attendance. Daily documentation by staff of FFC and observations of the staff during care interactions |
Behavioural | Koeneman et al., 2017 [76] | Photos and text on active peers (physically active implicit descriptive norm) using a draft newsletter article | Participant exposure to the intervention materials | Study researcher | Face to face | Participants exposed to the descriptive norm once | Not reported | Not reported |
Behavioural | Moyle et al., 2018 [67] | A robotic plush toy (PARO), used as an alternative to animal-assisted therapies | Participants allocated to the intervention received individual, non-facilitated sessions with the toy | Trained research assistant | Face to face | Sessions with toy took place for 15 min sessions, three times per week | Not reported | Not reported |
Behavioural + environmental | Galik et al., 2008 [69] | Training handouts—no information on where these are to be accessed | Educational programme: (1) the philosophy of restorative care; (2) motivating cognitively impaired residents to participate; (3) incorporating interventions into the resident’s daily life; (4) documentation and coordination of restorative care | Two restorative care nurses (RCN) | Face to face to staff and via handouts | The following activities over four months: (1) Nursing assistants (NAs) established restorative care goals for residents; (2) NAs mentored in implementation of restorative care activities; and (3) encouragement and support to NAs related to implementation | Goal setting for each individual resident | Individuals followed up on a weekly basis to determine if restorative care activities being completed |
Behavioural + Environmental | Hurley et al., 2020 [68] | Mobility aids and resources to enable participation in activities. (full details provided by authors) | Implementation Phase (0–4 months): therapists work with care staff to integrate the important central tenets of the programme into everyday working practices. Consolidation Phase (5–12 months): rehabilitation assistant to support managers, staff and residents | A senior occupational therapist supported by other therapists | Face to face, either individually or as a group | Implementation of ARCH took approximately 4 months, with lighter touch support over the following 8 months | Assessment, analysis where the needs of each care home were identified by the therapy team and tailored to that care home | Senior Occupational Therapist oversaw the daily implementation of the programme and ensured fidelity to the programme |
Behavioural + Environmental | Forster et al., 2021 [78] | Not reported | Workshops with staff, observation, and “ideas bank” of resources, and action planning. Identification of a facilitator | Care home staff | Face to face | Three workshops. Second workshop 2 weeks after workshop 1, third workshop at 3 months | Strategies to increase PA tailored for each care home and their residents | Extent of implementation monitored and classified as full, partial, or failed implementation |
Behavioural + Environmental | Galik et al., 2021 [59] | Environmental and policy assessment forms. Environmental supports and adaptations to facilitate function | Policy and environmental assessment, education and training, resident goal setting, ongoing training and motivation of care home staff | Research nurse in conjunction with up to two care home based champions who could be nursing or activity staff | Face to face | Research nurse worked in each care home for 10 h a week for 12 months | Strategies to increase PA tailored for each care home and their residents | Number of staff reached by training recorded. Knowledge test of the intervention conducted |
Environmental | Pomeroy et al., 2011 [72] | Housing enabler instrument | A care home designed to mirror the home environment combined with culture change for physical and social environments more akin to a home-type environment | Research staff | Assessment directed to residents | Not applicable | Not reported | Not reported |
Single-component interventions were: resistance training [58,60–62,66,75]; functional skills training [62]; reinforcement of social norms in terms of physical activity [76]; a behavioural intervention to reduce PA as an intervention to limit the behavioural and psychological symptoms of dementia [67]; video game based exercise intervention [73]; aerobic training [71]; strength training [71,75]; health education programme [71]; and modification of the care home environment [72]. One intervention was contrary to the aim of all other included studies in that it aimed to reduce PA in the context of limiting behavioural and psychological symptoms of dementia (BPSD) through use of a plush robotic toy [67].
Multicomponent interventions were: resistance training combined with functional skills training [62,66]; goal setting combined with progressive and tailored physical and daily activities [64]; environmental and policy assessment, education, goal setting, and behavioural change techniques aimed at mentoring and motivating staff and residents [59,63,68,69,78]; goal setting, information provision, exercise provision [70]; toileting assistance, exercise, and choices of food and fluid snacks [65]; and incontinence care combined with exercise [74].
Completeness of intervention description was determined by the extent of adherence to the TIDieR checklist [55] (Table 4). Overall, the standard of reporting of the intervention details was varied, with many failing to detail specific materials required or failing to provide details of information contained in training manuals/handouts. However, one study did provide intervention details in the TIDieR format [68], with another study providing extensive detail on the intervention in study appendices [78]. One study [70] provided an internet link to further intervention details, but the link provided was not persistent and could not be accessed.
Intervention recipients
Thirteen of the nineteen (13/19; 68%) studies targeted their intervention directly to care home residents. One study [64] which investigated exercise plus behavioural interventions, had residents and staff as the recipients of the intervention. Four studies targeted care home staff but not residents directly [59,63,69,78].
Intervention delivery
Seven of the nineteen (7/19; 37%) studies had the intervention delivered by a member of the research team conducting the study [65,67,70,72–74,76]. Four of the nineteen (4/19; 21%) studies deployed research nurses to train care home staff to deliver the deliver the intervention [59,63,69,78]. In several studies, the intervention was delivered by qualified health professionals such as physiotherapists, trained instructors, or exercise professionals that were external to the care home, but recruited by the research team [58,60–62,64,66,68,71,75].
Cognitive and physical characteristics of participants
Participant’s cognitive ability was provided in 9/19 (53%) studies, with the Mini-Mental State Exam (MMSE) used exclusively as a measure of cognitive ability. The mean MMSE ranged from 3.2 [69] to 26.1 [75]. Of the studies that had MMSE data available, most scores were suggestive of dementia in their samples (mean MMSE score of all studies <24) [59,63–65,69,72,74,75]. One study’s mean MMSE score suggested preserved cognitive function (>24/30) [71].
Where physical performance data were reported, the approach to reporting was heterogeneous, and included self-reported PA levels, timed-up-and-go test, functional ambulation category (FAC), physical activity scale in long-term care (PAS-LTC) measure, and the six-minute walk test. Two studies did not report any physical characteristics of their participants [65,74]. Overall, heterogeneity of reporting physical performance characteristics made it challenging to compare between studies.
Outcome measures
Across the included studies there were direct and indirect approaches to measuring PA. Accelerometery was the most widely used direct measure of physical activity, and was used in 13/19 (68%) studies [58,59,62,63,65–67,69,71,72,74,75,78]. One study (two papers) used Pedometers as a direct measure of PA [60,61]. Indirect subjective methods of measuring PA were the Nursing Home Life Space Diameter measure [64], the Rapid Assessment of Physical Activity Measure (RAPA) [73], the International Physical Activity Questionnaire (IPAQ) [70], the Assessment of Physical Activity [68] and the Physical Activity Scale for Long-term Care [72].
Theories and models as a basis for intervention
The theoretical basis for the interventional studies were explicit in 6/19 (32%) of included studies. Theories and models explicitly represented were: evolutionary—biological theory [62], SEM [59,63,72], social-cognitive theory [59,69], self-determination theory [75] and health promotion model [70].
Congruence of the included studies with social–ecological models
Eighteen of the nineteen (18/19; 95%) studies addressed the intrapersonal level of the SEM either alone or in combination with other levels. Fourteen of the nineteen (14/19; 74%) interventions (15 papers) addressed the intrapersonal level of the SEM alone, meaning that the interventions focussed on individual-level change for residents, but did not factors that influence PA levels through changes to the wider care home context [58,60–65,67,69–71,73–76]. Few studies were located that addressed the physical environment, either alone or in combination with other levels of the SEM (N = 4). Similarly, few studies were located that addressed organisational-level factors as part of the intervention (N = 4).
Most interventions addressing the intrapersonal level alone. Studies that addressed four or all levels of the SEM simultaneously were in a minority (N = 2). One UK study addressed the intrapersonal, interpersonal, organisational, and policy levels of the SEM simultaneously [78]. One study from the USA addressed the intrapersonal, interpersonal, policy, and perceived physical environment levels. One cluster RCT from the USA and one small feasibility study from the UK (that was not designed to determine effectiveness) addressed all levels of the SEM simultaneously [63,68].
Discussion
This present scoping review sought to examine the nature and range of interventions to increase physical activity in care homes. In addition, the review systematically examined how (or if) interventions addressed the wider care home context through levels of influencing factors on PA that are highlighted by SEMs [44]. Despite repeated calls from previous reviews [22,32,81,82] for interventions to address multiple levels of context, the present scoping review found that individual-level factors alone (for example, muscle strength) were predominantly addressed in interventions rather than wider aspects of context such as organisational culture or the physical environment. Encouragingly more recent studies considered wider aspects of care home context [63,68,78].
One study reported an intervention designed to reduce PA levels in the context of managing the behavioural and psychological symptoms of dementia [67]. The results from this study suggest that interventions to reduce BPSD may involve decreasing PA, which may have negative consequences on the health of care home residents. In addition, the results from that study also run contrary to the prevailing view that wandering behaviours as part of BPSD are not necessarily negative or unwanted [83–86].
Intervention studies were often characterised by the delivery of time-limited activities delivered by staff external to care homes. External staff were either those from research teams conducting the study, or external health professionals (for example, physiotherapists). This may be because care homes did not have the necessary resources to allow their own staff time to be trained in the delivery of interventions. Long-term delivery of strategies to increase PA in care homes by staff external to care homes, such as registered health professionals or research staff, may not be feasible or sustainable particularly if funding for the delivery of programs is limited [38]. Furthermore, it is possible that a delivery model reliant on staff external to care homes—whilst deliverable in a research context—may not be sustainable beyond the life cycle of a research project. This is problematic for the long-term sustainability of the intervention because for interventions to be sustainable beyond the study period, they need to be embedded into usual-care home work practices, rather than added to existing care home routines [34]. One approach may be to have interventions delivered by care home staff that are already embedded in care homes—those staff who look after residents on daily basis. Such an approach may well enhance the sustainability of interventions beyond a research study. Therefore, the results from the present review partly explain the uncertainty around the sustainability of interventions to increase PA in care homes highlighted by previous work [8].
The role of the physical and social environments are critical in creating opportunity for PA in a way that is embedded in everyday life and may be another way of ensuring the sustainability of interventions. Such an approach allows residents to do what they wish and at the same time move around without necessarily relying direct delivery of intervention activities from staff to residents. The role of social and physical environments are central in facilitating such an approach [87]. Additionally, interventions to address social and physical environments with the aim of increasing PA may have the capacity to reach many residents at once, with evidence suggesting that environmental adaptations to enhance residents’ perceptions of walkability in care homes may increase PA levels [88].
The results from this scoping review build on those of other reviews by highlighting gaps in most intervention strategies to increase PA in care homes. For example, a previous review highlighted barriers for PA in care homes at resident (for example, health status), physical environment (for example, accessibility), and organisational (for example, funding constraints and staffing) levels [32]. Furthermore, another systematic review that focussed on the physical environment found that positive effects on PA were found for small home-like environments and modifications to the physical environment to accommodate residents’ functional limitations [22]. Such wider influencing factors were least addressed by the included studies in the present review.
Several methodological and reporting issues in the included studies require comment. First, future studies need to be more comprehensive in their descriptions of the context in which studies have been undertaken; SEMs may provide a useful framework to address such contextual factors [89]. Secondly, most interventions have been tested with populations that are not as cognitively impaired as most of the care home population. Interventions are therefore needed that address PA levels in cognitively impaired older people. Third, just under half of the studies did not include a control group. Fourth, with four exceptions [58,59,63,78] interventions were trialled in a single centre, leading to interventions that may not be implementable elsewhere. Fifth, there was limited detail provided on care homes where interventions were delivered, making it difficult to know where and when effective interventions to enhance PA levels are best delivered. Finally, intervention description was not consistently clear in the study reports. We were guided by the Template for Intervention Description and Replication (TIDiER) to extract data pertaining to intervention description [55]. With three exceptions [59,68,78] studies did not adhere to current reporting guidelines, with descriptions that were insufficient to facilitate replication. This may be largely attributable to the fact that many of the studies included in this review pre-date intervention description checklists which have since become commonplace [55]. Importantly, the implication is that without sufficient intervention description (for example, lack of training manuals) then it will be difficult—if not impossible—for others to implement an intervention in practice. The results suggest that the quality of reporting has seen improvements in more recent studies, and future work should continue to adhere to reporting guidelines for interventions descriptions.
Most intervention studies were carried out in the USA. This may represent bias in favour of studies published in the USA within the databases that were searched but may also be a result of the inclusion criteria for this review, which restricted inclusion to English language studies only. Conclusions on international generalisability of the findings of these intervention studies may not possible since it could not be ascertained that the settings, populations, and interventions were similar in any way to the UK context. Nonetheless, this review provides an international snapshot of the current evidence for interventions to increase PA in care homes.
Limitations of the review
First, although scoping reviews are comprehensive, they are not exhaustive in identifying literature [90]. In addition, although few studies were located where the focus was at higher levels of SEMs and many lacked a theoretical foundation other than individual-level models. This may be because the search resulted in quasi-experimental and RCT studies rather than policy interventions which may limit the extent to which strategies influenced higher levels of SEMs. Therefore, despite a comprehensive search strategy, not all relevant publications may have been identified. However, the search strategy recognised the balance between the breadth and depth of the analysis.
Care home residents are a different population to community dwelling older people in ways that will likely influence their ability to participate in PA. However, it was difficult to identify confounding factors that may influence intervention effectiveness (for example, functional status, cognitive ability, or care home characteristics). Nonetheless attempts were made throughout the design and conduct of the study to appraise and report these in a rigorous way. Although it may have been useful to conduct further analysis to explore how levels of the SEM were addressed by geography, there was not sufficient geographical variation for meaningful analysis. Finally, although some studies detailed methods to assess the fidelity of the intervention such as diaries, data are lacking on how that data were used since the extent of fidelity was often not reported. It is therefore unclear if residents and staff adhered to the interventions provided, and for how long.
Conclusion
Most interventions addressed individual-level influences on PA, and it is important to acknowledge that they alone cannot address the issue of low PA in care homes. Although there is evidence emerging from studies of interventions that address multiple levels of SEM simultaneously, that evidence remains scant. Future interventions should account for care home context through the development of interventions that address multiple levels of the SEM simultaneously. In addition, future interventions should be clearly described according to intervention description guidance.
Supplementary Material
Funding Statement
This work was supported by a PhD fellowship from the Chief Scientist Office of the Scottish Government. Award number: DTF/14/02. The funder had no role in the conduct of the review.
Disclosure statement
No potential conflict of interest was reported by the author(s).
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