MindMate: A single case experimental design study of a reminder system for people with dementia

Effect of digital game intervention on cognitive functions in older adults: a multiple baseline single case experimental design study

BACKGROUND

Residents in nursing homes are prone to cognitive decline affecting memory, visuospatial cognition, and executive functions. Cognitive decline can lead to dementia, necessitating prioritized intervention.

METHODS

The current study aimed to investigate whether an intervention using a digital game was effective for preserving and improving the cognitive function of residents in nursing homes. An intervention study was conducted using a single-case AB design with multiple baselines. The participants in the study were five older adults aged 65 and over who do not play digital games regularly. The study ran for 15 weeks, including a baseline (phase A) and an intervention phase (phase B). Phase A had five baselines (5 to 9 weeks) with random participant assignment. In phase B, participants engaged in a digital game (Space Invaders) individually. Cognitive function was assessed as the outcome, measured using the Brain Assessment (performed on a tablet through the Internet) at 16 measurement points. Four of five participants (two female and two male) were included in the analysis, using visual inspection and Bayesian statistics with multi-level modeling.

RESULTS

Visual inspection of the graphs revealed cognitive function score improvements after the intervention for most layers in terms of memory of numbers, memory of words, mental rotation test (visuospatial ability), and total scores in the Brain Assessment. These effects were also significant in the analysis by multi-level modeling.

CONCLUSIONS

The results suggest that the use of digital games may be effective for preserving and improving cognitive function among residents of nursing home.

TRIAL REGISTRATION

This study was registered in the University Hospital Medical Information Network Clinical Trials Registry (UMIN000048677; public title: Effect of a Digital Game Intervention for Cognitive Functions in Older People; registration date: August 30, 2022).

Typicality of Level Change (TLC) as an Additional Effect Measure to NAP and Tau-U in Single Case Research

Single case research is a viable way to obtain evidence for social and psychological interventions on an individual level. Across single case research studies various analysis strategies are employed, varying from visual analysis to the calculation of effect sizes. To calculate effect sizes in studies with few measurements per time period (<40 data points with a minimum of five data points in each phase), non-parametric indices such as Nonoverlap of All Pairs (NAP) and Tau-U are recommended. However, both indices have restrictions. This article discusses the restrictions of NAP and Tau-U and presents the description, calculation, and benefits of an additional effect size, called the Typicality of Level Change (TLC) index. In comparison to NAP and Tau-U, the TLC index is more aligned to visual analysis, not restricted by a ceiling effect, and does not overcompensate for problematic trends in data. The TLC index is also sensitive to the typicality of an effect. TLC is an important addition to ease the restrictions of current nonoverlap methods when comparing effect sizes between cases and studies.

A systematic review of reminder and guidance systems for Alzheimer's Disease and Related Dementias patients: context, barriers and facilitators

Purpose. To present the latest available research assessing the actual impact of reminder and guidance technologies for daily activities in Alzheimer's Disease and Related Dementia's patients, outlining design implications for these technologies.Materials and methods. The search was conducted in the ACM Digital Library, IEEExplore, ScienceDirect, PubMed, Cochrane Library, Sage Journal, ResearchGate, and SemanticScholar. An iteratively-developed Boolean search string was built including up to 18 AND/OR terms across Four categories (Memory Aids, Technology, Daily Activities, Memory Impairment). We qualitatively analyzed the findings and discussions of the findings reported in 40 studies in our corpus to determine common barriers to, and facilitators of, effective intervention implementation and adoption.Results. Forty studies fulfilled the inclusion and exclusion criteria. In existing studies, individuals with Alzheimer's Disease and Related Dementias understand the usefulness of different functions that can be provided within an app to assist with everyday tasks. There was a high level of heterogeneity regarding the studies' location, duration, and evaluation methodology.Conclusions. There is a need for assistive reminder and guidance technologies to be tailored towards autonomy, identity and personalization. Future work should include motivating features to aid during mood changes and feelings of insecurity.IMPLICATIONS FOR REHABILITATIONIn existing studies, older adults with cognitive impairment understand the usefulness of different functions that can be provided within an app to assist with everyday tasks.There is a high level of heterogeneity regarding the studies' location, duration, and evaluation methodology.There is ample need for these reminder technologies to be tailored towards autonomy, identity and personalization.Future work should include motivating features to aid during mood changes and feelings of insecurity.

How to Evaluate a Tailor-made Social Work Intervention? Some Practice-Based Solutions with Single-Case Designs

PURPOSE

With the increased attention to the principles of evidence-based practice (EBP), social workers are challenged to adapt their daily interventions accordingly when treating clients. They usually work with individual clients, all with their own specificities. Single-Case Experimental Designs (SCEDs) can be used to inform a social worker about the effectiveness of an intervention at the individual client level. In everyday social work practice, however, it is difficult to meet methodological requirements of SCEDs to find causal explanations. A concern is that repeated measurements prior to an intervention are required in most situations. This study aims to provide researchers with alternatives to repeated measurement when using the logic of SCED to apply EBP in their everyday practice.

METHODS

In this study, we reviewed published single-case designs between January 1 and December 31, 2019, on types of SCEDs in the social domain, and how is dealt with baseline conditions.

RESULTS

SCEDs and quasi-experimental alternatives are hardly published in situations when baseline data are not available. Four underused quasi-experimental strategies that can be employed when repeated measurement during baseline is not possible are as follows: retrospective baselines, theoretical inference, multiraters, and triangulation with qualitative data.

DISCUSSION AND CONCLUSION

The suggestions to work with single-case designs with quasi-experimental elements are meant to enable social workers to evaluate their interventions in a way that enhances mere narrative evaluations of the experiences of an intervention.

Interdisciplinary perspectives on privacy awareness in lifelogging technology development

Population aging resulting from demographic changes requires some challenging decisions and necessary steps to be taken by different stakeholders to manage current and future demand for assistance and support. The consequences of population aging can be mitigated to some extent by assisting technologies that can support the autonomous living of older individuals and persons in need of care in their private environments as long as possible. A variety of technical solutions are already available on the market, but privacy protection is a serious, often neglected, issue when using such (assisting) technology. Thus, privacy needs to be thoroughly taken under consideration in this context. In a three-year project PAAL ('Privacy-Aware and Acceptable Lifelogging Services for Older and Frail People'), researchers from different disciplines, such as law, rehabilitation, human-computer interaction, and computer science, investigated the phenomenon of privacy when using assistive lifelogging technologies. In concrete terms, the concept of Privacy by Design was realized using two exemplary lifelogging applications in private and professional environments. A user-centered empirical approach was applied to the lifelogging technologies, investigating the perceptions and attitudes of (older) users with different health-related and biographical profiles. The knowledge gained through the interdisciplinary collaboration can improve the implementation and optimization of assistive applications. In this paper, partners of the PAAL project present insights gained from their cross-national, interdisciplinary work regarding privacy-aware and acceptable lifelogging technologies.

New assistive technologies in dementia and mild cognitive impairment care: A PubMed review

INTRODUCTION

Dementia is characterized by global cognitive dysfunction, which can cause difficulties in performing Activities of Daily Living (ADLs) and Instrumental Activities of Daily Living (IADLs), leaving people with dementia (PwD) who do not have the proper support extremely vulnerable. Dementia management should involve preventative methods, including during the stage of mild cognitive impairment (MCI). Lay-caregivers are found to have poorer health in all three domains of the biopsychosocial model, as a result of the burden of care. New assistive technologies (ATs) have been designed to help care for PwD. ATs aim to be more affordable and widely available than human workers, achieving greater health equity and quality of life for all.

METHODS

To identify relevant articles, a literature search using PubMed was undertaken by one independent reviewer: S.L.C. The keywords of "dementia", "technology", and "management" were used, with no date of publication limitations, which revealed 571 results.

RESULTS

44 articles were included in this review. Articles regarding new technologies to diagnose dementia or MCI were not included. ATs aim to help facilitate aging-in-place, reduce medical costs, and rates of caregiver burnout, by helping maintain patient functioning.

DISCUSSION

Legal issues in the form of workplace safety laws, data privacy laws and regulations, and health care ethics are major barriers to implementation that need to be resolved. The hope is that artificial intelligence (AI) systems may be able to advance what they are able to perceive and help uncover new knowledge and management options for dementia and MCI.

A Systematic Review of Prospective Memory Interventions Across Stages of Dementia-Related Disorders

BACKGROUND

There is a critical need to develop effective interventions for cognitive impairments associated with dementia-related disorders (i.e., Alzheimer's disease, frontotemporal dementia, mild cognitive impairment). Prospective memory (PM), or the ability to create and carry out future intentions, is one cognitive domain that is impaired in individuals with dementia-related disorders. Effective treatment of PM could significantly improve daily functioning, level of independence, and quality of life.

OBJECTIVE

To date, there have been a number of studies investigating potential interventions, but these interventions have not been comprehensively reviewed and compared across the stages of dementia-related disorders, as is the aim of the current review.

METHODS

This review examined 21 studies on the success of intervention strategies for prospective memory in patients with dementia-related disorders.

RESULTS

All the studies demonstrated positive effects of intervention on PM abilities, but there are questions concerning ecological validity, length of positive effects on PM, and a lack of diversity of interventions across the different stages of dementia-related disorders.

CONCLUSION

Future research should address these issues by incorporating daily functioning activities and caregiver support into the intervention process, as well as investigating these interventions at more severe stages of dementia-related disorders.

Smartwatch reminders are as effective as verbal reminders in patients with Korsakoff's syndrome: three case studies

Korsakoff's syndrome (KS) is a neurocognitive disorder caused by severe malnutrition. KS patients typically show severe impairments in prospective memory (PM), thus, have difficulties with remembering to perform delayed intentions. The current study investigated the possible benefits of a smartwatch aid for PM tasks in patients with KS and compared its efficacy with verbal in-person reminders. Three patients participated in the present study and were asked to complete everyday PM tasks. The results of each patient were analyzed as a single-case study. The results highlight the great potential of using smartwatches as external memory aids in KS patients in everyday life.

Exploring the Role of Web-Based Interventions in the Self-management of Dementia: Systematic Review and Narrative Synthesis

Background

The increasing prevalence of dementia has promoted a move toward equipping people with the skills required for greater self-management of the condition to enable a better quality of life. Self-management encompasses numerous skills, such as goal setting and decision making, which aim to improve an individual’s physical and mental well-being when they live with long-term health conditions. Effective self-management may lead to increased well-being and quality of life. Reviews of web-based and app-based interventions have suggested that they have the potential to provide self-management support for people living with a range of conditions, including dementia.

Objective

The aim of this review is to explore the existing use of web-based or app-based interventions that facilitate or support self-management in dementia and discuss their effectiveness in promoting self-management and independence.

Methods

A total of 5 electronic databases were systematically searched for relevant articles published between January 2010 and March 2020. Included studies were appraised using the Downs and Black checklist and the Critical Appraisal Skills Program qualitative research checklist. A narrative synthesis framework was applied using tables and conceptual mapping to explore the relationships within and among studies.

Results

A total of 2561 articles were identified from the initial search, of which 11 (0.43%) met the inclusion criteria for the final analysis. These included 5 quantitative, 4 mixed methods, and 2 qualitative studies. All the included articles were of fair to high quality across the two appraisal measures. Interventions were delivered through a range of web-based and app-based technologies and targeted several self-management concepts. However, there was inconsistency regarding the domains, often affected by dementia, that were targeted by the interventions reviewed.

Conclusions

Web-based and app-based interventions for dementia can be delivered through a range of means and can target different aspects of self-management. The small number of studies included in this review report positive outcomes that seem to support the use of these interventions for people living with dementia. However, there is a clear need for more high-quality research into this type of intervention delivery and for studies that use a much larger number of participants across the dementia spectrum. Future research should consider the barriers to and facilitators of intervention adoption highlighted in this review and whether interventions can encompass the physical, social, cognitive, and emotional domains affected by dementia.

Intelligent Sensing Technologies for the Diagnosis, Monitoring and Therapy of Alzheimer's Disease: A Systematic Review

Alzheimer’s disease is a lifelong progressive neurological disorder. It is associated with high disease management and caregiver costs. Intelligent sensing systems have the capability to provide context-aware adaptive feedback. These can assist Alzheimer’s patients with, continuous monitoring, functional support and timely therapeutic interventions for whom these are of paramount importance. This review aims to present a summary of such systems reported in the extant literature for the management of Alzheimer’s disease. Four databases were searched, and 253 English language articles were identified published between the years 2015 to 2020. Through a series of filtering mechanisms, 20 articles were found suitable to be included in this review. This study gives an overview of the depth and breadth of the efficacy as well as the limitations of these intelligent systems proposed for Alzheimer’s. Results indicate two broad categories of intelligent technologies, distributed systems and self-contained devices. Distributed systems base their outcomes mostly on long-term monitoring activity patterns of individuals whereas handheld devices give quick assessments through touch, vision and voice. The review concludes by discussing the potential of these intelligent technologies for clinical practice while highlighting future considerations for improvements in the design of these solutions for Alzheimer’s disease.

Assistive Technologies in Dementia Care: An Updated Analysis of the Literature

Objectives: Technology can assist and support both people with dementia (PWD) and caregivers. Recently, technology has begun to embed remote components. Timely with respect to the pandemic, the present work reviews the most recent literature on technology in dementia contexts together with the newest studies about technological support published until October 2020. The final aim is to provide a synthesis of the timeliest evidence upon which clinical and non-clinical decision-makers can rely to make choices about technology in the case of further pandemic waves.

Methods: A review of reviews was performed alongside a review of the studies run during the first pandemic wave. PsycInfo, CINAHL, and PubMed-online were the databases inspected for relevant papers published from January 2010.

Results: The search identified 420 articles, 30 of which were reviews and nine of which were new studies meeting the inclusion criteria. Studies were first sorted according to the target population, then summarized thematically in a narrative synthesis. The studies targeting technologies for PWD were categorized as follows: monitoring and security purposes, sustaining daily life, and therapeutic interventions. Each category showed potential benefits. Differently, the interventions for caregivers were classified as informative, psycho-education programs, psychosocial-supportive, therapeutic, and cognitive/physical training. Benefits to mental health, skills learning, and social aspects emerged.

Conclusions: The evidence shows that technology is well-accepted and can support PWD and caregivers to bypass physical and environmental problems both during regular times and during future pandemic waves. Nevertheless, the lack of a common methodological background is revealed by this analysis. Further and more standardized research is necessary to improve the implementation of technologies in everyday life while respecting the necessary personalization.

Mobile Apps for Older Adults: Systematic Search and Evaluation Within Online Stores

Background

Through the increasingly aging population, the health care system is confronted with various challenges such as expanding health care costs. To manage these challenges, mobile apps may represent a cost-effective and low-threshold approach to support older adults.

Objective

This systematic review aimed to evaluate the quality, characteristics, as well as privacy and security measures of mobile apps for older adults in the European commercial app stores.

Methods

In the European Google Play and App Store, a web crawler systematically searched for mobile apps for older adults. The identified mobile apps were evaluated by two independent reviewers using the German version of the Mobile Application Rating Scale. A correlation between the user star rating and overall rating was calculated. An exploratory regression analysis was conducted to determine whether the obligation to pay fees predicted overall quality.

Results

In total, 83 of 1217 identified mobile apps were included in the analysis. Generally, the mobile apps for older adults were of moderate quality (mean 3.22 [SD 0.68]). Four mobile apps (5%) were evidence-based; 49% (41/83) had no security measures. The user star rating correlated significantly positively with the overall rating (r=.30, P=.01). Obligation to pay fees could not predict overall quality.

Conclusions

There is an extensive quality range within mobile apps for older adults, indicating deficits in terms of information quality, data protection, and security precautions, as well as a lack of evidence-based approaches. Central databases are needed to identify high-quality mobile apps.