Rest-activity rhythms in small scale homelike care and traditional care for residents with dementia

An overview of innovative living arrangements within long-term care and their characteristics: a scoping review

BACKGROUND

Within long-term care, a culture change (e.g. focus on increasing autonomy in everyday life) is leading to the development of innovative living arrangements for older adults. Insight into characteristics of innovative living arrangements, which are described as an alternative to regular nursing homes, is lacking. This review aims to provide an overview of innovative living arrangements and to describe their defining characteristics.

METHODS

A scoping review was performed following the framework of Arksey and O'Malley. The preferred reporting items for systematic reviews and meta-analyses with extension, for scoping reviews (PRISMA-ScR) was also followed. The databases PubMed, PsycInfo, CINAHL, and Web of Science were searched. Articles, published between 2012 and 2023 were included when they presented an innovative living arrangement as an alternative to regular nursing homes. A thematic analysis was performed, describing the physical, social, and organizational environment of the innovative living arrangements.

RESULTS

Fifty-six articles were identified describing seven types of distinct innovative living arrangements: small-scale living, the green house model, shared housing arrangements, green care farms, dementia villages, group homes, intergenerational living, and an 'other' category. The themes included supporting autonomy and creating a small-scale and/or homelike environment, which were emphasized in most innovative living arrangements. Other themes, such as involvement of the community, focus on nature, integration of work tasks, and involvement of family members, were emphasized in a subsection of the described living arrangements. Twenty-eight articles reported on the effects of the innovative living environment on residents, family members, or staff members. Most articles (N = 22) studied resident-related outcomes, focusing mainly on quality of life and aspects of daily life.

CONCLUSION

More insight into the mechanisms of the social and organizational environments is needed, which may lead to greater transparency and homogeneity regarding the description of living arrangements. This review shows that more knowledge is needed about the potential key elements of innovative living arrangements, especially related to their social and organizational environment. This may provide a better guide for developers within long-term care.

Community expectations of a village for people living with dementia

Small-scale models of dementia care are a progressive approach to improve care for people living with dementia. These models intend to provide a home-like environment with a small number of residents in each living unit, easy access to services and facilities, a dedicated team of staff and flexible routines. This study was undertaken during the construction phase of a new village and provided a unique opportunity to explore expectations of the village among the local community. Twelve community members participated in two sequential online focus groups over a 2-month period. Focus group discussions were recorded, transcribed and analysed using a reflexive thematic analysis approach. Knowledge of the village varied and was informed by familiarity with other village developments and local marketing about the new village. The findings indicate that the community expect the village to provide residents with optimum dementia care, a safe and enabling physical environment and a vibrant daily life where they are engaged in 'normal' activities. While participants expected the village to be self-contained, they also anticipated strong connections with the wider community. Participants acknowledged that the community need dementia education to ensure these interactions are positive. Community expectations of a new village development for people living with dementia are largely positive and often idealistic. Organisations need to consider these expectations when developing new small-scale facilities and be mindful of how they market these developments to foster realistic expectations. While community enthusiasm about dementia care is encouraging, education is needed to ensure the success of the model.

The role of enriched environment in neural development and repair

In addition to genetic information, environmental factors play an important role in the structure and function of nervous system and the occurrence and development of some nervous system diseases. Enriched environment (EE) can not only promote normal neural development through enhancing neuroplasticity but also play a nerve repair role in restoring functional activities during CNS injury by morphological and cellular and molecular adaptations in the brain. Different stages of development after birth respond to the environment to varying degrees. Therefore, we systematically review the pro-developmental and anti-stress value of EE during pregnancy, pre-weaning, and “adolescence” and analyze the difference in the effects of EE and its sub-components, especially with physical exercise. In our exploration of potential mechanisms that promote neurodevelopment, we have found that not all sub-components exert maximum value throughout the developmental phase, such as animals that do not respond to physical activity before weaning, and that EE is not superior to its sub-components in all respects. EE affects the developing and adult brain, resulting in some neuroplastic changes in the microscopic and macroscopic anatomy, finally contributing to enhanced learning and memory capacity. These positive promoting influences are particularly prominent regarding neural repair after neurobiological disorders. Taking cerebral ischemia as an example, we analyzed the molecular mediators of EE promoting repair from various dimensions. We found that EE does not always lead to positive effects on nerve repair, such as infarct size. In view of the classic issues such as standardization and relativity of EE have been thoroughly discussed, we finally focus on analyzing the essentiality of the time window of EE action and clinical translation in order to devote to the future research direction of EE and rapid and reasonable clinical application.

Effect of the Physical Environment on Health and Well-Being of Nursing Homes Residents: A Scoping Review

OBJECTIVES

In what way the physical environment of nursing homes (NHs) influences the health and well-being of nursing residents is not well codified. The authors aimed to review scientifically based knowledge on this topic.

DESIGN

A systematic scoping review of research into the effect that physical environment in nursing homes has on residents' health.

SETTING AND PARTICIPANTS

Search for relevant English-language articles in PubMed and the Cochrane database before April 15, 2022. Article selection and data extraction were performed by 2 researchers. Studies were included if conducted on nursing home residents and if they examined associations between components of the physical environment and health outcomes.

MEASURES

The review was performed in accordance with the PRISMA statement.

RESULTS

Of 1347 articles retrieved, 59 met the inclusion criteria-40 observational, 1 survey, and 18 interventional studies, of which 5 were randomized controlled trials. Certain environmental features repeatedly show significant positive effect on resident's health, such as noise reduction, tuning of lighting, natural light, easy access to garden, dining environment, and resident-centered interior renovation. Nursing home size was not found to have a direct relationship to resident health and well-being, although it is related to more than only the physical environment (eg, social environment).

CONCLUSIONS AND IMPLICATIONS

This review provides guidance in selective areas of the physical environment for the design of nursing homes, with potential benefits for the health and well-being of residents.

Physical environmental designs in residential care to improve quality of life of older people

BACKGROUND

The demand for residential aged care is increasing due to the ageing population. Optimising the design or adapting the physical environment of residential aged care facilities has the potential to influence quality of life, mood and function.

OBJECTIVES

To assess the effects of changes to the physical environment, which include alternative models of residential aged care such as a 'home-like' model of care (where residents live in small living units) on quality of life, behaviour, mood and depression and function in older people living in residential aged care.

SEARCH METHODS

CENTRAL, MEDLINE, Embase, six other databases and two trial registries were searched on 11 February 2021. Reference lists and grey literature sources were also searched.

SELECTION CRITERIA

Non-randomised trials, repeated measures or interrupted time series studies and controlled before-after studies with a comparison group were included. Interventions which had modified the physical design of a care home or built a care home with an alternative model of residential aged care (including design alterations) in order to enhance the environment to promote independence and well-being were included. Studies which examined quality of life or outcomes related to quality of life were included. Two reviewers independently assessed the abstracts identified in the search and the full texts of all retrieved studies.

DATA COLLECTION AND ANALYSIS

Two reviewers independently extracted data, assessed the risk of bias in each included study and evaluated the certainty of evidence according to GRADE criteria. Where possible, data were represented in forest plots and pooled.

MAIN RESULTS

Twenty studies were included with 77,265 participants, although one large study included the majority of participants (n = 74,449). The main comparison was home-like models of care incorporating changes to the scale of the building which limit the capacity of the living units to smaller numbers of residents and encourage the participation of residents with domestic activities and a person-centred care approach, compared to traditional designs which may include larger-scale buildings with a larger number of residents, hospital-like features such as nurses' stations, traditional hierarchical organisational structures and design which prioritises safety. Six controlled before-after studies compared the home-like model and the traditional environment (75,074 participants), but one controlled before-after study included 74,449 of the participants (estimated on weighting). It is uncertain whether home-like models improve health-related quality of life, behaviour, mood and depression, function or serious adverse effects compared to traditional designs because the certainty of the evidence is very low. The certainty of the evidence was downgraded from low-certainty to very low-certainty for all outcomes due to very serious concerns due to risk of bias, and also serious concerns due to imprecision for outcomes with more than 400 participants. One controlled before-after study examined the effect of home-like models on quality of life. The author stated "No statistically significant differences were observed between the intervention and control groups." Three studies reported on global behaviour (N = 257). One study found little or no difference in global behaviour change at six months using the Neuropsychiatric Inventory where lower scores indicate fewer behavioural symptoms (mean difference (MD) -0.04 (95% confidence interval (CI) -0.13 to 0.04, n = 164)), and two additional studies (N = 93) examined global behaviour, but these were unsuitable for determining a summary effect estimate. Two controlled before-after studies examined the effect of home-like models of care compared to traditional design on depression. After 18 months, one study (n = 242) reported an increase in the rate of depressive symptoms (rate ratio 1.15 (95% CI 1.02 to 1.29)), but the effect of home-like models of care on the probability of no depressive symptoms was uncertain (odds ratio 0.36 (95% CI 0.12 to 1.07)). One study (n = 164) reported little or no difference in depressive symptoms at six months using the Revised Memory and Behaviour Problems Checklist where lower scores indicate fewer depressive symptoms (MD 0.01 (95% CI -0.12 to 0.14)). Four controlled before-after studies examined function. One study (n = 242) reported little or no difference in function over 18 months using the Activities of Daily Living long-form scale where lower scores indicate better function (MD -0.09 (95% CI -0.46 to 0.28)), and one study (n = 164) reported better function scores at six months using the Interview for the Deterioration of Daily Living activities in Dementia where lower scores indicate better function (MD -4.37 (95% CI -7.06 to -1.69)). Two additional studies measured function but could not be included in the quantitative analysis. One study examined serious adverse effects (physical restraints), and reported a slight reduction in the important outcome of physical restraint use in a home-like model of care compared to a traditional design (MD between the home-like model of care and traditional design -0.3% (95% CI -0.5% to -0.1%), estimate weighted n = 74,449 participants at enrolment).  The remaining studies examined smaller design interventions including refurbishment without changes to the scale of the building, special care units for people with dementia, group living corridors compared to a non-corridor design, lighting interventions, dining area redesign and a garden vignette.

AUTHORS' CONCLUSIONS

There is currently insufficient evidence on which to draw conclusions about the impact of physical environment design changes for older people living in residential aged care. Outcomes directly associated with the design of the built environment in a supported setting are difficult to isolate from other influences such as health changes of the residents, changes to care practices over time or different staff providing care across shifts. Cluster-randomised trials may be feasible for studies of refurbishment or specific design components within residential aged care. Studies which use a non-randomised design or cluster-randomised trials should consider approaches to reduce risk of bias to improve the certainty of evidence.

Wearable GPS and Accelerometer Technologies for Monitoring Mobility and Physical Activity in Neurodegenerative Disorders: A Systematic Review

Neurodegenerative disorders (NDDs) constitute an increasing global burden and can significantly impair an individual's mobility, physical activity (PA), and independence. Remote monitoring has been difficult without relying on diaries/questionnaires which are more challenging for people with dementia to complete. Wearable global positioning system (GPS) sensors and accelerometers present a cost-effective and noninvasive way to passively monitor mobility and PA. In addition, changes in sensor-derived outcomes (such as walking behaviour, sedentary, and active activity) may serve as potential biomarkers of disease onset, progression, and response to treatment. We performed a systematic search across four databases to identify papers published within the past 5 years, in which wearable GPS or accelerometers were used to monitor mobility or PA in patients with common NDDs (Parkinson's disease, Alzheimer's disease, motor neuron diseases/amyotrophic lateral sclerosis, vascular parkinsonism, and vascular dementia). Disease and technology-specific vocabulary were searched singly, and then in combination, identifying 4985 papers. Following deduplication, we screened 3115 papers and retained 28 studies following a full text review. One study used wearable GPS and accelerometers, while 27 studies used solely accelerometers in NDDs. GPS-derived measures had been validated against current gold standard measures in one Parkinson's cohort, suggesting that the technology may be applicable to other NDDs. In contrast, accelerometers are widely utilised in NDDs and have been operationalised in well-designed clinical trials.

GRANADA consensus on analytical approaches to assess associations with accelerometer-determined physical behaviours (physical activity, sedentary behaviour and sleep) in epidemiological studies

The inter-relationship between physical activity, sedentary behaviour and sleep (collectively defined as physical behaviours) is of interest to researchers from different fields. Each of these physical behaviours has been investigated in epidemiological studies, yet their codependency and interactions need to be further explored and accounted for in data analysis. Modern accelerometers capture continuous movement through the day, which presents the challenge of how to best use the richness of these data. In recent years, analytical approaches first applied in other scientific fields have been applied to physical behaviour epidemiology (eg, isotemporal substitution models, compositional data analysis, multivariate pattern analysis, functional data analysis and machine learning). A comprehensive description, discussion, and consensus on the strengths and limitations of these analytical approaches will help researchers decide which approach to use in different situations. In this context, a scientific workshop and meeting were held in Granada to discuss: (1) analytical approaches currently used in the scientific literature on physical behaviour, highlighting strengths and limitations, providing practical recommendations on their use and including a decision tree for assisting researchers’ decision-making; and (2) current gaps and future research directions around the analysis and use of accelerometer data. Advances in analytical approaches to accelerometer-determined physical behaviours in epidemiological studies are expected to influence the interpretation of current and future evidence, and ultimately impact on future physical behaviour guidelines.

Nonparametric time series summary statistics for high-frequency accelerometry data from individuals with advanced dementia

Accelerometry data has been widely used to measure activity and the circadian rhythm of individuals across the health sciences, in particular with people with advanced dementia. Modern accelerometers can record continuous observations on a single individual for several days at a sampling frequency of the order of one hertz. Such rich and lengthy data sets provide new opportunities for statistical insight, but also pose challenges in selecting from a wide range of possible summary statistics, and how the calculation of such statistics should be optimally tuned and implemented. In this paper, we build on existing approaches, as well as propose new summary statistics, and detail how these should be implemented with high frequency accelerometry data. We test and validate our methods on an observed data set from 26 recordings from individuals with advanced dementia and 14 recordings from individuals without dementia. We study four metrics: Interdaily stability (IS), intradaily variability (IV), the scaling exponent from detrended fluctuation analysis (DFA), and a novel nonparametric estimator which we call the proportion of variance (PoV), which calculates the strength of the circadian rhythm using spectral density estimation. We perform a detailed analysis indicating how the time series should be optimally subsampled to calculate IV, and recommend a subsampling rate of approximately 5 minutes for the dataset that has been studied. In addition, we propose the use of the DFA scaling exponent separately for daytime and nighttime, to further separate effects between individuals. We compare the relationships between all these methods and show that they effectively capture different features of the time series.

Psychotropic drug use in residents with dementia living in small-scaled special care facilities; a longitudinal study

Objectives: Over the past decade, a trend has been noticed in the Netherlands to replace large-scaled special care units (SCUs) caring for 20-30 residents with dementia by small-scaled SCUs caring for up to 8 residents. Systematic evaluations, however, have yielded a differentiated picture of the effects. As the impact on psychotropic drug use has hardly been addressed thus far, we examined the (potential) impact of psychotropic drug use when moving residents with dementia from large-scaled to small-scaled SCUs.Methods: We conducted a non-randomized, controlled study with a six-month follow-up. Among 145 residents with dementia living a large-scaled SCUs for dementia caring for 20-30 residents per unit, a total of 77 residents were moved to small-scaled SCUs caring for up to 8 residents per unit. Psychotropic drug use, classified according to the Anatomical Therapeutic Chemical Classification (ATC) system was monitored at 2 months before replacement, as well as at 3 and 6 months thereafter. Repeated measures ANOVAs were conducted for the mean Defined Daily Doses (DDDs) of both groups.Results: No significant differences between both groups in psychotropic medication use were found over a period of 8 months.Conclusion: Prescription of psychotropic drugs does not change after a transfer from a large-scaled SCU to a small-scaled SCU of patients with moderate to severe dementia.Current Controlled Trials: ISRCTN11151241.

A Systematic Review of Evidence for a Role of Rest-Activity Rhythms in Dementia

Background: Rest-activity rhythm (RAR) disruption may be a risk factor for dementia that can be objectively measured with wearable accelerometers. It is possible that risk monitoring and preventive interventions could be developed targeting RARs. To evaluate whether current evidence supports these applications, we systematically reviewed published studies linking RARs with dementia, its course, and mechanisms. Methods: Entering pre-defined search terms in PsycINFO, MEDLINE, and PubMed databases returned 192 unique titles. We identified 32 articles that met our primary inclusion criteria, namely, that they examined objective RAR measures in the context of dementia, cognition, or brain biomarkers. Results: Cross-sectional studies consistently found that people with dementia had less stable (5/6 studies), more fragmented (4/6 studies), lower amplitude rhythms (5/5 studies), that had a worse fit to 24-h models (3/3 studies). Findings from studies relating RARs to cognitive test performance (rather than diagnostic status) were more nuanced. RAR fragmentation was associated with neurodegeneration biomarkers in 2/2 studies; and 1/1 study found 24-h model fit related to hippocampal hyperactivation. Although 2/2 studies found RARs related to markers of cerebrovascular disease, the specific RARs and cerebrovascular disease measures were not consistent. Longitudinal studies (3/3 articles) reported that lower amplitude and worse 24-h rhythm fit predicted future cognitive impairment and executive function. However, interventions aimed at modifying RARs had mixed effects (e.g., 0/4 studies demonstrated effects of morning light on 24-h model fit; evening light was associated with improved 24-h fit in 2/2 studies reporting); these effects may be more evident in subgroups. Conclusions: Consistent evidence shows that dementia is associated with disrupted RARs. Importantly, recent studies have shown that RAR disruption is associated with dementia biomarkers and, prospectively, with the risk of cognitive impairment. Interventions mostly tried using bright light to modify RARs in people who already have dementia; these studies produced modest effects on RARs and did not show modification of dementia's course. Altogether, these findings suggest studies are needed to understand how RARs relate to changes in brain health earlier in the disease process. Better understanding of the biopsychosocial mechanisms linking RARs with future dementia risk can help further target intervention development.

Quality of life in small-scaled homelike nursing homes: an 8-month controlled trial

Background

Quality of life is a clinical highly relevant outcome for residents with dementia. The question arises whether small scaled homelike facilities are associated with better quality of life than regular larger scale nursing homes do.

Methods

A sample of 145 residents living in a large scale care facility were followed over 8 months. Half of the sample (N = 77) subsequently moved to a small scaled facility. Quality of life aspects were measured with the QUALIDEM and GIP before and after relocation.

Results

We found a significant Group x Time interaction on measures of anxiety meaning that residents who moved to small scale units became less anxious than residents who stayed on the regular care large-scale units. No significant differences were found on other aspects of quality of life.

Conclusions

This study demonstrates that residents who move from a large scale facility to a small scale environment can improve an aspect of quality of life by showing a reduction in anxiety.

Trial registration

Current Controlled Trials ISRCTN11151241. registration date: 21–06-2017. Retrospectively registered.