Adapting Mobile and Wearable Technology to Provide Support and Monitoring in Rehabilitation for Dementia: Feasibility Case Series

Intelligent assistive technology devices for persons with dementia: A scoping review

Assistive technology (AT) with context-aware computing and artificial intelligence capabilities can be applied to address cognitive and communication impairments experienced by persons with dementia (PwD). This paper aims to provide an overview of current literature regarding some characteristics of intelligent assistive technology devices (IATDs) for cognitive and communicative impairments of PwD. It also aims to identify the areas of impairment addressed by these IATDs.A multi-faceted systematic search strategy yielded records. Predefined criteria were applied for inclusion and data extraction. Thereafter data was thematically analysed and synthesised. This review demonstrates that almost all of the research involving IATDs has focused on cognitive impairments of PwD and has not yet evolved past the conceptual or prototype stages of development. Summaries of commercially available IATDs for PwD and relevant prototypes are provided at the end of this review.This research concluded that IATDs for PwD targeting cognition and communication problems primarily focus on social robots, and that they address cognitive impairments of attention, affect, and social-pragmatic communicative impairments. Future research endeavours concerning AT for PwD should explore collaboration between computer engineering and health practitioners to address the identified gaps. This may contribute to the available information for evidence-based decision making for PwD.

Are mobile apps meeting the needs of caregivers of people living with dementia? An evaluation of existing apps for caregivers

OBJECTIVES

Informal caregivers of people living with dementia (ICPDs) experience stressors that can lead to adverse outcomes. Although apps for ICPDs are available, evidence to support their effectiveness is limited. This investigation was aimed at providing an evaluation of available apps for ICPDs.

METHODS

We conducted two studies: 1) search and evaluation of available apps; and 2) controlled trial of two apps identified in the Study 1 (NCT05217004). For Study 2, participants were randomly assigned to one of the two app-using groups or a control group. Outcome measures were administered before, post-intervention, and at a follow-up. Interviews with caregivers were conducted to examine their needs regarding the development of future apps.

RESULTS

Sixteen apps were examined in Study 1. Results suggest that the number and type of features present in each app may not be sufficient to address the multifaceted needs of ICPDs. In Study 2, contrary to expectation, we did not identify differences between the app-using and control conditions on our outcome measures. Participants noted several content and user-experience needs to consider in developing new apps.

CONCLUSION

Findings from the investigation can inform future developments of apps to address the needs of ICPDs.

Electronic Wearable Device Use for Physical Activity in Older Adults: A Qualitative Study

Innovative solutions to help older adults increase physical activity are critically important. In this qualitative study, we explored older adults' acceptance, capability, and experiences of using three different types of electronic wearable devices over a period of 4-24 weeks for self-monitoring and promoting physical activity. We conducted 23 semistructured interviews with older adults who participated in three physical activity intervention studies. Two researchers analyzed the data using NVivo version 12, applying a directed content analysis that was partially guided by the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2). Six themes emerged: (1) device learning, (2) hedonic motivation, (3) habit and adherence, (4) facilitating conditions, (5) effort expectancy, and (6) performance expectancy. Although most older adults (95.8%) from this study were first-time users, they reflected positive experiences and generally enjoyed using electronic wearable devices. Participants reported issues related to electronic wearable device functionalities that can be improved to better enhance user experience and motivate increased physical activity. Future research should explore the role of electronic wearable devices in older adults' physical activity with an emphasis on behavioral change over time.

Technology for activity participation in older people with mild cognitive impairment or dementia: expert perspectives and a scoping review

PURPOSE

This two-phased study aimed to collate, summarize and characterize - through the lens of an occupation-based, person-centred framework - ongoing research and practice featuring activity participation-supportive digital health technology (DHT) for direct use by older persons with mild cognitive impairment or Alzheimer's disease and related dementias (PwMCI/ADRD).

MATERIALS AND METHODS

Phase 1: Using scoping review procedures, PubMed, MEDLINE and PsycInfo were searched to identify primary research studies. Phase 2: Semi-structured interviews were completed with MCI/ADRD expert stakeholders identified through publicly available biographies and snowball referral. Thematic analysis was used to identify, synthesize and cross-compare emergent themes from both data sources that were subsequently organized into core facets of the Human Activity Assistive Technology (HAAT) model.

RESULTS

The scoping review resulted in 28 studies, which were primarily feasibility work with small sample sizes. Interviewed experts (N = 17) had 4+ years of MCI/ADRD experience, came from a variety of settings, and held myriad roles. Real world and research-based use of DHTs held some commonalities, particularly around support for social participation and instrumental activities of daily engagement. No DHT for sleep or work/volunteerism were noted in either phase. People with milder MCI/ADRD conditions were most often targeted users. Soft technology strategies facilitating implementation centred on product design (e.g., prompting software, customisability, multimedia/multisensory experiences), instructional methods and technology partner involvement.

CONCLUSIONS

This study demonstrates that although DHT supportive of activity participation is being studied and integrated into the lives of PwMCI/ADRD, there are still key opportunities for growth to meet the needs of diverse MCI/ADRD end users.Implications for rehabilitationMainstream digital health technologies (DHTs) are being utilized by persons with mild cognitive impairment and Alzheimer's disease and related dementias (PwMCI/ADRD) in everyday life, in limited capacities, to support social participation, leisure, health management and instrumental activities of daily living (IADL).Innovative research-based technologies to be used directly by PwMCI/ADRD are under development, particularly to facilitate management of ADL, social participation and IADL in persons with mild-to-moderate forms of cognitive impairment.Soft technology strategies to support technology implementation with MCI/ADRD target users include close attention to design of the technology (e.g., customisability, sensory stimulators and prompting features), instructional strategies that promote learning and motivation and involvement of technology partners to facilitate engagement with the technology.Future studies will require more robust research designs with transparent reports of participant characteristics and facilitative instructional methods to expand DHT's potential to account for and better meet the needs of diverse MCI/ADRD communities in real-world contexts.

How I want technology used in my care: Learning from documented choices of people living with dementia using a dyadic decision making tool

While technologies for aging in place are promoted to support care partners and people living with dementia, perspectives of people living with dementia are underrepresented in both use decisions among families and discussions within academia and industry. This mixed-methods study examined the use preferences of twenty-nine people living with mild Alzheimer's disease (AD) for four categories of technologies: location tracking, in-home sensors, web-cameras, and virtual companion robots. Participants completed a novel dyadic intervention, Let's Talk Tech, where they documented their preferences of the four technology categories for care planning purposes. Post-test interviews were thematically analyzed and provide insight into selection processes. Technology preferences varied considerably by and within participant living with mild AD. Excepting location tracking, non-technology and low-technology options were more desirable than the featured technologies. Control over technology use was of great importance to people living with AD. Considerations given to technology preference selection imperfectly fit within the new Health Technology Acceptance Model (H-TAM) developed for older adults. These findings underscore the importance of including people living with dementia in decision making about technologies to support care at home and the need for further personalization and tailorable technological devices to accommodate and align with their preferences.

Utilising Emotion Monitoring for Developing Music Interventions for People with Dementia: A State-of-the-Art Review

The demand for smart solutions to support people with dementia (PwD) is increasing. These solutions are expected to assist PwD with their emotional, physical, and social well-being. At the moment, state-of-the-art works allow for the monitoring of physical well-being; however, not much attention is delineated for monitoring the emotional and social well-being of PwD. Research on emotion monitoring can be combined with research on the effects of music on PwD given its promising effects. More specifically, knowledge of the emotional state allows for music intervention to alleviate negative emotions by eliciting positive emotions in PwD. In this direction, the paper conducts a state-of-the-art review on two aspects: (i) the effect of music on PwD and (ii) both wearable and non-wearable sensing systems for emotional state monitoring. After outlining the application of musical interventions for PwD, including emotion monitoring sensors and algorithms, multiple challenges are identified. The main findings include a need for rigorous research approaches for the development of adaptable solutions that can tackle dynamic changes caused by the diminishing cognitive abilities of PwD with a focus on privacy and adoption aspects. By addressing these requirements, advancements can be made in harnessing music and emotion monitoring for PwD, thereby facilitating the creation of more resilient and scalable solutions to aid caregivers and PwD.

A smart devices based secondary prevention program for cerebrovascular disease patients

Background

Commercially available health devices are gaining momentum and represent a great opportunity for monitoring patients for prolonged periods. This study aimed at testing the feasibility of a smart device-based secondary prevention program in a cohort of patients with cryptogenic stroke.

Methods

In this proof-of-principle study, patients with non-disabling ischemic stroke and transient ischemic attacks (TIA) in the subacute phase were provided with a smartwatch and smart devices to monitor several parameters - i.e., oxygen saturation, blood pressure, steps a day, heart rate and heart rate variability - for a 4-week period (watch group). This group was compared with a standard-of-care group. Our primary endpoint was the compliance with the use of smart devices that was evaluated as the number of measures performed during the observation period.

Results

In total, 161 patients were recruited, 87 in the WATCH group and 74 in the control group. In the WATCH group, more than 90% of patients recorded the ECG at least once a day. In total, 5,335 ECGs were recorded during the study. The median blood pressure value was 132/78 mmHg and the median oxygen saturation value was 97%. From a clinical standpoint, although not statistically significant, nine atrial fibrillation episodes (10.3%) in the WATCH group vs. 3 (4%) in the control group were detected.

Conclusion

Our study suggests that prevention programs for cerebrovascular disease may benefit from the implementation of new technologies.

Comparisons Between GPS-based and Self-reported Life-space Mobility in Older Adults

Assessments of Life-space Mobility (LSM) evaluate the locations of movement and their frequency over a period of time to understand mobility patterns. Advancements in and miniaturization of GPS sensors in mobile devices like smartwatches could facilitate objective and high-resolution assessment of life-space mobility. The purpose of this study was to compare self-reported measures to GPS-based LSM extracted from 27 participants (44.4% female, aged 65+ years) who wore a smartwatch for 1-2 weeks at two different site locations (Connecticut and Florida). GPS features (e.g., excursion size/span) were compared to self-reported LSM with and without an indicator for needing assistance. Although correlations between self-reported measures and GPS-based LSM were positive, none were statistically significant. The correlations improved slightly when needing assistance was included, but statistical significance was achieved only for excursion size (r=0.40, P=0.04). The poor correlations between GPS-based and self-reported indicators suggest that they capture different dimensions of life-space mobility.

Challenges of using a Fitbit smart wearable among people with dementia

OBJECTIVES

Limited research on using smart wearables such as Fitbit devices among people with dementia has shown favourable outcomes. The aim of this study was to explore the acceptability and feasibility of using a Fitbit Charge 3 among people with dementia, living in the community, who took part in the physical exercise component of the Comprehensive REsilience-building psychoSocial intervenTion pilot study.

METHODS

A mixed methods study was conducted; Quantitative data relating to wear rates for the Fitbit were recorded and qualitative data were collected by group and individual interviews with the people with dementia and their caregiver about their experience of wearing/using the Fitbit in the study.

RESULTS

Nine people with dementia and their caregiver completed the intervention. Only one participant wore the Fitbit consistently. Supporting set-up and use of the devices was time consuming and caregiver involvement was essential for day-to-day support: none of the people with dementia owned a smartphone. Few of them engaged with the Fitbit features, primarily only using it to check the time and only a minority wanted to keep the device beyond the intervention.

DISCUSSION

When designing a study using smart wearables such as a Fitbit among people with dementia, consideration should be given to the following: the possible burden on caregivers supporting the use of the device; a lack of familiarity with this technology in the target population; dealing with missing data, and the involvement of the researcher in setting up and supporting use of the device.

Efficacy of ICT-based interventions in improving psychological outcomes among older adults with MCI and dementia: A systematic review and meta-analysis

The purpose of this systematic review and meta-analysis was to investigate empirical evidence about the effectiveness of Information and Communication Technology-based interventions (ICTs) on different psychological outcomes in adults aged over 60 years with Mild Cognitive Impairment (MCI) or dementia. We conducted a systematic search on Pubmed, Web of Science, Scopus, and PsycInfo with publication year between January 2010 up to April 2021. Any pre-post quantitative intervention study with at least one of the following domains examined: quality of life (QoL), psychological well-being, social interaction, engagement, mood, anxiety, stress, loneliness, self-efficacy, or self-esteem was included. The risk of bias and quality of evidence were assessed using tools based on the Cochrane Handbook for Systematic Review of Interventions criteria. Forty-eight studies with a total of 1488 participants met the selection criteria. Because of the high heterogeneity, we ran nine different random effects meta-analyses divided by outcome and type of cognitive decline which indicated that these treatments were ineffective overall, with some exceptions. Only anxiety (small effect size =-0.375 [-0.609; -0.140]) and behavioral symptoms (BS) (medium effect size =-0.585 [-1.019; -0.152]) in people with dementia (PwD) were found to change significantly. Moreover, effect sizes for QoL in dementia and for mood in people with MCI became significant when moderated by type of ICT, living situation, and experimental setting. In particular, Virtual Reality (VR) appeared to be more effective than other devices for both PwD and MCI, and nursing homes were found to be the best setting for administering these treatments. The trim and fill method found no evidence of publication bias in any of the 9 analyses. However, quality of evidence within (RoB 2, RoB 2 Crossover, ROBINS) and across (GRADE assessment) studies was low, thus these findings should be interpreted with caution. In general, ICT-based intervention can be considered a promising approach for improving anxiety and BS in PwD, and for improving QoL in PwD and mood in people with MCI, specifically when VR is used, when participants live in nursing homes, and when interventions are carried out in nursing homes.¹.

Wearable and Portable GPS Solutions for Monitoring Mobility in Dementia: A Systematic Review

Dementia is the most common neurodegenerative disorder globally. Disease progression is marked by declining cognitive function accompanied by changes in mobility. Increased sedentary behaviour and, conversely, wandering and becoming lost are common. Global positioning system (GPS) solutions are increasingly used by caregivers to locate missing people with dementia (PwD) but also offer a non-invasive means of monitoring mobility patterns in PwD. We performed a systematic search across five databases to identify papers published since 2000, where wearable or portable GPS was used to monitor mobility in patients with common dementias or mild cognitive impairment (MCI). Disease and GPS-specific vocabulary were searched singly, and then in combination, identifying 3004 papers. Following deduplication, we screened 1972 papers and retained 17 studies after a full-text review. Only 1/17 studies used a wrist-worn GPS solution, while all others were variously located on the patient. We characterised the studies using a conceptual framework, finding marked heterogeneity in the number and complexity of reported GPS-derived mobility outcomes. Duration was the most frequently reported category of mobility reported (15/17), followed by out of home (14/17), and stop and trajectory (both 10/17). Future research would benefit from greater standardisation and harmonisation of reporting which would enable GPS-derived measures of mobility to be incorporated more robustly into clinical trials.

Importance of Getting Enough Sleep and Daily Activity Data to Assess Variability: Longitudinal Observational Study

Background

The gold standard measurement for recording sleep is polysomnography performed in a hospital environment for 1 night. This requires individuals to sleep with a device and several sensors attached to their face, scalp, and body, which is both cumbersome and expensive. Self-trackers, such as wearable sensors (eg, smartwatch) and nearable sensors (eg, sleep mattress), can measure a broad range of physiological parameters related to free-living sleep conditions; however, the optimal duration of such a self-tracker measurement is not known. For such free-living sleep studies with actigraphy, 3 to 14 days of data collection are typically used.

Objective

The primary goal of this study is to investigate if 3 to 14 days of sleep data collection is sufficient while using self-trackers. The secondary goal is to investigate whether there is a relationship among sleep quality, physical activity, and heart rate. Specifically, we study whether individuals who exhibit similar activity can be clustered together and to what extent the sleep patterns of individuals in relation to seasonality vary.

Methods

Data on sleep, physical activity, and heart rate were collected over 6 months from 54 individuals aged 52 to 86 years. The Withings Aura sleep mattress (nearable; Withings Inc) and Withings Steel HR smartwatch (wearable; Withings Inc) were used. At the individual level, we investigated the consistency of various physical activities and sleep metrics over different time spans to illustrate how sensor data from self-trackers can be used to illuminate trends. We used exploratory data analysis and unsupervised machine learning at both the cohort and individual levels.

Results

Significant variability in standard metrics of sleep quality was found between different periods throughout the study. We showed specifically that to obtain more robust individual assessments of sleep and physical activity patterns through self-trackers, an evaluation period of >3 to 14 days is necessary. In addition, we found seasonal patterns in sleep data related to the changing of the clock for daylight saving time.

Conclusions

We demonstrate that >2 months’ worth of self-tracking data are needed to provide a representative summary of daily activity and sleep patterns. By doing so, we challenge the current standard of 3 to 14 days for sleep quality assessment and call for the rethinking of standards when collecting data for research purposes. Seasonal patterns and daylight saving time clock change are also important aspects that need to be taken into consideration when choosing a period for collecting data and designing studies on sleep. Furthermore, we suggest using self-trackers (wearable and nearable ones) to support longer-term evaluations of sleep and physical activity for research purposes and, possibly, clinical purposes in the future.

Developing practice standards for engaging people living with dementia in product design, testing, and commercialization - a case study

 AbstractTo successfully create assistive technologies for persons with dementia, product developers must understand the capacity of people with dementia to use these technologies. Capacity assessment is typically done through user experience research. However, the published literature is bereft of guidelines to conduct optimal user experience research in samples of persons with dementia.We recruited persons with dementia from community-based organizations and private partners to participate in user experience research for an assistive technology platform. After a testing session, we used semi-structured interviews to ask participants about their involvement in the user experience process. We employed an inductive thematic approach to analyze the interview transcripts and draft guidelines to meaningfully engage persons with dementia in user experience research in the future.Ten participants with mild to moderate dementia (6 females, 4 males) participated in the study. Nine participants had previous experience with mobile devices. Thematic analysis yielded three overarching themes: 1) the techniques, approaches and attributes of the interviewer; 2) participants' views on being part of the user experience research process; and 3) specific items to optimize the research process. Resulting guidelines were divided into recommendations for the interviewer specifically, and for the broader research process.

Goal setting for people with mild cognitive impairment or dementia in rehabilitation: A scoping review

INTRODUCTION

Goal setting is an integral part of the rehabilitation process and assists occupational therapists to target therapy towards achieving meaningful outcomes. People with mild cognitive impairment or dementia may experience barriers participating in goal setting due to preconceptions that the person cannot participate owing to changes in both cognitive and communicative abilities. The aim of this review was to identify goal setting approaches, common goals identified, and enablers and barriers to goal setting for people with mild cognitive impairment or dementia participating in specific rehabilitation programmes.

METHODS

Four electronic databases were searched in April 2020 for English language articles that described goal setting processes during a rehabilitation programme for people with mild cognitive impairment or dementia. Studies of all designs were included. Two authors screened citations and full text articles. Data were extracted, synthesised, and presented narratively.

RESULTS

Twenty-seven studies met the eligibility criteria. Both structured and nonstructured goal setting methods were used with common tools including the Canadian Occupational Performance Measure, the Bangor Goal Setting Interview and Goal Attainment Scaling. The nature of goals tended to depend on the scope of the rehabilitation programme in which the person was involved. Goal setting was more difficult for people with more advanced symptoms of dementia and when staff lacked skills and experience working with people with dementia. Use of a structured approach to goal setting, establishment of therapeutic rapport, individualisation of goals, and family involvement were reported to be beneficial.

CONCLUSION

Collaborative goal setting is a foundation of rehabilitation for people with dementia and should not be avoided due to preconceptions that the person cannot participate. Results suggests that occupational therapists can use a number of strategies to maximise participation and engagement and play a pivotal role in upskilling staff to enable effective goal setting for people with mild cognitive impairment or dementia.

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.

Participation of persons with dementia and their caregivers in research

BACKGROUND

The National Institute on Aging, in conjunction with the Department of Health and Human Services as part of the National Alzheimer's Project Act, convened a 2020 National Research Summit on Care, Services, and Supports for Persons with Dementia and their Caregivers. This review article addresses research participation by persons living with dementia (PLWD) and their care partners in two different ways: as research participants with input on outcomes studied and as engaged research partners.

RESULTS

This article summarizes each of the topics presented at this Summit session, followed by reflection from the session panelists. Lee Jennings examined collection of outcomes directly from PLWD and the potential for individualized outcomes to enhance measurement in intervention trials. Ron Petersen discussed the impact of nomenclature on research and clinical care, and how and why investigators should be mindful of the connection between dementia nomenclature and the conduct of dementia research. Tabassum Majid examined strategies for engagement in research, including specific examples of involving PLWD and their care partners (including staff in assisted living and skilled nursing facilities), and the potential for this research engagement to improve our understanding of interventions in dementia.

CONCLUSIONS

Research participation by PLWD and their care partners is evolving. This review summarizes three areas of opportunity and steps for researchers to work with PLWD and their care partners to design and conduct research that enhances knowledge based on what we learn from PLWD and their care partners, and creates knowledge with them.

Older Adults' Experiences With Using Wearable Devices: Qualitative Systematic Review and Meta-synthesis

BACKGROUND

Older adults may use wearable devices for various reasons, ranging from monitoring clinically relevant health metrics or detecting falls to monitoring physical activity. Little is known about how this population engages with wearable devices, and no qualitative synthesis exists to describe their shared experiences with long-term use.

OBJECTIVE

This study aims to synthesize qualitative studies of user experience after a multi-day trial with a wearable device to understand user experience and the factors that contribute to the acceptance and use of wearable devices.

METHODS

We conducted a systematic search in CINAHL, APA PsycINFO, PubMed, and Embase (2015-2020; English) with fixed search terms relating to older adults and wearable devices. A meta-synthesis methodology was used. We extracted themes from primary studies, identified key concepts, and applied reciprocal and refutational translation techniques; findings were synthesized into third-order interpretations, and finally, a "line-of-argument" was developed. Our overall goal was theory development, higher-level abstraction, and generalizability for making this group of qualitative findings more accessible.

RESULTS

In total, we reviewed 20 papers; 2 evaluated fall detection devices, 1 tested an ankle-worn step counter, and the remaining 17 tested activity trackers. The duration of wearing ranged from 3 days to 24 months. The views of 349 participants (age: range 51-94 years) were synthesized. Four key concepts were identified and outlined: motivation for device use, user characteristics (openness to engage and functional ability), integration into daily life, and device features. Motivation for device use is intrinsic and extrinsic, encompassing many aspects of the user experience, and appears to be as, if not more, important than the actual device features. To overcome usability barriers, an older adult must be motivated by the useful purpose of the device. A device that serves its intended purpose adds value to the user's life. The user's needs and the support structure around the device-aspects that are often overlooked-seem to play a crucial role in long-term adoption. Our "line-of-argument" model describes how motivation, ease of use, and device purpose determine whether a device is perceived to add value to the user's life, which subsequently predicts whether the device will be integrated into the user's life.

CONCLUSIONS

The added value of a wearable device is the resulting balance of motivators (or lack thereof), device features (and their accuracy), ease of use, device purpose, and user experience. The added value contributes to the successful integration of the device into the daily life of the user. Useful device features alone do not lead to continued use. A support structure should be placed around the user to foster motivation, encourage peer engagement, and adapt to the user's preferences.

A Digital Platform for Facilitating Personalized Dementia Care in Nursing Homes: Formative Evaluation Study

Background

Care personalization is key to the well-being of people with dementia according to person-centered care. With the development of the internet of things, a large quantity of personal data can be collected securely and reliably, which has the potential to facilitate care personalization for people with dementia. Yet, there are limited assistive technologies developed for this purpose, and the user acceptance of assistive technologies is low in nursing homes. Therefore, through a data-enabled design approach, a digital platform was developed for helping the care team in a nursing home to personalize dementia care, specifically in the management of behavioral and psychological dementia symptoms.

Objective

This study aimed to evaluate the digital platform in a real-life context with potential users from the following two aspects: (1) to explore if the digital platform could help with generating insights on the current state of each person with dementia and (2) to gather feedback on the digital platform from the care team.

Methods

The digital platform was deployed in the nursing home for 7 weeks and the data collected were visualized and presented to the care team via the digital platform. The visualizations were analyzed by the researchers for pattern detection. Meanwhile, the care team was asked to examine the visualizations and were interviewed for the following: (1) if any insights and actions were generated from the examination, (2) the usefulness of the digital platform, and (3) the improvements they would like to see.

Results

The data collected on the digital platform demonstrated its potential for pattern detection. Insights were generated by the care team and categorized into “client level,” “ward level,” and “team level.” The corresponding actions taken by the care team were classified into “investigation” and “implementation.” User acceptance varied across the care team, and three aspects of improvement for the digital platform were identified.

Conclusions

By evaluating the digital platform, this study gained insights on applying data-enabled design for personalizing dementia care; besides, it offers future researchers some recommendations on how to integrate assistive technologies in the nursing home context.

Mhealth interventions to improve health and quality of life related outcomes for informal dementia caregivers: A scoping review

BACKGROUND

The devastating effects of dementia extend to the health and well-being of informal dementia caregivers. The physical and mental requirements of serving as a dementia caregiver are evidenced in the negative health effects that this population experiences. There is a present need for effective interventions to improve health and quality of life in informal dementia caregivers.

OBJECTIVE

To investigate the health and well-being related outcomes following mHealth use in dementia caregiver and care recipient populations.

METHODS

A scoping review was undertaken to investigate mHealth use in dementia caregivers. Searches spanning four databases yielded 172 articles. Following screening procedures, 12 articles were included for data extraction..

RESULTS

Articles were organized into three major themes: social and indirect support, health education, and technology-supported monitoring. Social and indirect support apps may be valuable for caregiver stress relief, confidence, and fatigue. Health education apps were found to 1) assist with the organization of user's health information, and 2) impact depressive symptoms. Monitoring apps provided caregivers with methods of observing both physical and emotional well-being..

CONCLUSION

Currently, the limited evidence on the usability and usefulness of mHealth within dementia caregiver populations indicates that mHealth holds promise as an intervention platform and warrants continued investigation.Abbreviations: AD: Alzheimer's Disease; CANE: Camberwell Assessment of Need for the Elderly; CCS: Caregiver Competence Scale, CDN: COGKNOW Day Navigator; CES-D: Center for Epidemiologic Studies Depression Scale; CG: Caregivers; CQoL-AD: Carer's Overall Quality of Life in Alzheimer's Disease; Dx: Diagnosis; ESM: experience sampling methodology; FB: Facebook; PA: Positive Affect; Pss-14: Perceived Stress Scale; QOL: Quality of Life; RCSS: Revised Caregiving Satisfaction Scale; SSCQ: Short Sense of Competence Questionnaire.

Usability of Wearable Devices With a Novel Cardiac Force Index for Estimating the Dynamic Cardiac Function: Observational Study

Background

Long-distance running can be a form of stress to the heart. Technological improvements combined with the public’s gradual turn toward mobile health (mHealth), self-health, and exercise effectiveness have resulted in the widespread use of wearable exercise products. The monitoring of dynamic cardiac function changes during running and running performance should be further studied.

Objective

We investigated the relationship between dynamic cardiac function changes and finish time for 3000-meter runs. Using a wearable device based on a novel cardiac force index (CFI), we explored potential correlations among 3000-meter runners with stronger and weaker cardiac functions during running.

Methods

This study used the American product BioHarness 3.0 (Zephyr Technology Corporation), which can measure basic physiological parameters including heart rate, respiratory rate, temperature, maximum oxygen consumption, and activity. We investigated the correlations among new physiological parameters, including CFI = weight * activity / heart rate, cardiac force ratio (CFR) = CFI of running / CFI of walking, and finish times for 3000-meter runs.

Results

The results showed that waist circumference, smoking, and CFI were the significant factors for qualifying in the 3000-meter run. The prediction model was as follows: ln (3000 meters running performance pass probability / fail results probability) = –2.702 – 0.096 × [waist circumference] – 1.827 × [smoke] + 0.020 × [ACi7]. If smoking and the ACi7 were controlled, contestants with a larger waist circumference tended to fail the qualification based on the formula above. If waist circumference and ACi7 were controlled, smokers tended to fail more often than nonsmokers. Finally, we investigated a new calculation method for monitoring cardiac status during exercise that uses the CFI of walking for the runner as a reference to obtain the ratio between the cardiac force of exercise and that of walking (CFR) to provide a standard for determining if the heart is capable of exercise. A relationship is documented between the CFR and the performance of 3000-meter runs in a healthy 22-year-old person. During the running period, data are obtained while participant slowly runs 3000 meters, and the relationship between the CFR and time is plotted. The runner’s CFR varies with changes in activity. Since the runner’s acceleration increases, the CFR quickly increases to an explosive peak, indicating the runner’s explosive power. At this period, the CFI revealed a 3-fold increase (CFR=3) in a strong heart. After a time lapse, the CFR is approximately 2.5 during an endurance period until finishing the 3000-meter run. Similar correlation is found in a runner with a weak heart, with the CFR at the beginning period being 4 and approximately 2.5 thereafter.

Conclusions

In conclusion, the study results suggested that measuring the real-time CFR changes could be used in a prediction model for 3000-meter running performance.