The Impact of Disability and Assistive Technology Use on Well-Being in Later Life: Findings from the National Health and Aging Trends Study.

BACKGROUND AND OBJECTIVES: Although assistive technologies have the potential to bridge the gap between personal capabilities and environmental demands, they may not always fully accommodate disability. This study examined the implications of change in the extent of accommodation provided by assistive technology for well-being in older adulthood. RESEARCH DESIGN AND METHODS: Data from five waves (2015-2019) of the National Health and Aging Trends Study provided information on disability and assistive technology use among older adults aged 65 and above in the United States (n = 7,057). An 8-level index that jointly characterized the spectrum of disability and assistive technology use was applied to seven activities of daily living (ADLs). Fixed-effects panel model assessed within-person associations between well-being and the extent of assistive technology accommodation along different levels of the disability spectrum. RESULTS: At baseline, bathing (28.7%; 95% CI: 27.6, 29.8) and toileting (37.9%; 95% CI: 36.2, 39.6) were the two activities in which most older adults successfully accommodated their limitations with assistive technologies. Longitudinally, the level of support provided by assistive technology changed widely across activities and over time. Within-person analyses showed that for all ADLs except for eating, there was a significant decline in well-being when the adopted assistive technology no longer supported users' needs and successfully resolved their disabilities. DISCUSSION AND IMPLICATIONS: Our findings highlight the utility of technology-based interventions and underscore the imperative that assistive technologies attend to the specific needs of older adults and support independence in everyday activities.

Capturing multiple assistive technology use and its impact in later life: lessons learned from distinct measurement approaches.

PURPOSE: Assistive technology (AT) use is prevalent in older adulthood and can accommodate activity difficulties to support well-being. However, within the context of multiple activity difficulties and multiple technology use, it is unclear how to best assess their combined effects on older adults' health outcomes. This study proposed four distinct approaches to quantify multiple AT use and examined their respective impact in later life. MATERIAL AND METHODS: Using data from the 2015 round of the National Health and Aging Trends Study (n = 6,936), we compared four indices to summarize the state of multiple AT use among the U.S. older population: binary, item-specific, cumulative, and accommodative. Separate regression analyses tested the impact of each index on older adults' well-being and restricted participation in meaningful activities. RESULTS: In 2015, 59.9% of the respondents were identified as AT users. Among these users, 53.8% reported using two or more technologies when performing daily self-care and mobility activities. The implications of multiple AT use for health outcomes varied across the four indices. Approaches that captured elements of person-technology fit provided the most nuanced and actionable insights on the benefits of using AT to support well-being. CONCLUSIONS: ATs were commonly adopted by older adults in everyday activities. Overall, findings suggest that there are multiple approaches to conceptualize the independent, cumulative, or balanced effects of multiple AT use. Each measurement approach has unique implications for understanding the impacts of using ATs on older adults' health outcomes.

Multiple assistive technology (AT) use is observed and prevalent in later life, highlighting that there is great need for older adults to deploy different technologies to help with different daily activities.The concept of multiple AT use can be approached in various ways (e.g., where effects of each AT are independent, cumulative, or dependent on fit), with each conceptualization based on distinct assumptions and capable of serving different purposes in rehabilitation research.This study demonstrates that information on person-technology fit plays a critical role in helping rehabilitation engineers and clinical practitioners assess the effects of AT use on health and well-being outcomes among older adults.

Everyday Experiences of Physical Function and Awareness of Fall Risk in Older Adulthood.

Background and Objectives: Falls, the leading cause of death and disability among older adults, occur in daily life when the demands of daily activities surpass the ability to maintain balance. An estimated 30% of older adults misestimate their physical function, placing them at greater risk of falling. This study examined how experiences of physical function are linked to awareness of fall risk in daily life. Research Design and Methods: For 30 consecutive days following a fall-risk assessment, 41 older adults (observations = 1,135; 56% women; age: 65-91) self-assessed objective and subjective fall risk using a custom smartphone application. Alignment of objective and subjective fall risk was indexed as awareness of fall risk. Postural sway was measured by the application. Physical and mobility symptoms and fear of falling were reported daily. Results: At baseline, 49% of participants misestimated their fall risk. Awareness of fall risk varied from day to day and fall risk was misestimated on 40% of days. Multilevel multinomial models showed individual differences in the level of daily symptoms to increase the tendency to misestimate fall risk. Daily symptoms and fear of falling increased awareness of high fall risk, but daily symptoms threatened awareness of low fall risk. Discussion and Implications: Findings suggest that misestimation of fall risk is common in older adulthood and informed by appraisals of physical function. Fall prevention strategies could support older adults in understanding their everyday physical function and provide tools to adjust the demands of activities in daily life.

The Dynamic Interplay of Objective and Subjective Balance and Subsequent Task Performance: Implications for Fall Risk in Older Adults.

INTRODUCTION: Falls occur in daily life when an activity results in a loss of balance that is too great to recover from. Our purpose in this study was to examine how fall risk differentiates the dynamic interplay of objective and subjective balance on a given day and subsequent task performance on that day. METHODS: For 30 consecutive days, following a baseline fall risk assessment, 41 older adults (56% female, Age M = 75.22, SD = 6.75) self-assessed balance and task performance using a smartphone. The Activity-specific Balance Confidence scale measured subjective balance. Postural sway and chair-stand performance were measured within a smartphone using accelerometry. Data were analyzed using multilevel random coefficient models. RESULTS: Tests of heterogeneity in level one residuals showed day-to-day variability in balance confidence and postural sway to be greater in individuals with higher fall risk at baseline. Baseline fall risk differentiated how the interplay of balance confidence and postural sway on a given day related to chair-stand performance on that day. For those with higher fall risk, on days that balance confidence was higher, greater postural sway was followed by greater chair-stand performance. CONCLUSION: Findings indicate that older adults, especially those with higher fall risk, may be unaware of subtle fluctuations in balance, which could lead to engaging in activities that exceed the capacity to maintain balance at that moment. Fall prevention efforts should address older adults' understanding of and responses to fluctuations of physical function in daily life.

The effectiveness of exergames on fear of falling in community-dwelling older adults: a systematic review.

ObjectivesFear of falling is common among older adults and can increase fall-risk through premature activity restriction. Exergames, an emerging tool in fall prevention, combine exercise with interactive and adaptive game elements. This review examines the extent to which exergame interventions reduce fear of falling among community-dwelling older adults. Method: Guided by the PRISMA methodology, we reviewed peer-reviewed studies that were published in English between 2006 and 2019 and employed a comparative design to test the effect of exergames on fear of falling in community-dwelling older adults. Two reviewers screened the literature and extracted data on the exergame platform, participants, study design, and results. A modified PEDro scale was used to assess study quality. Disagreements were resolved through discussion with the third reviewer. Results: Our literature search resulted in 23 eligible studies on exergame interventions where fear of falling was the primary or secondary outcome. Most interventions (35%) occurred within hospitals and were delivered via a Wii-based system (61%). Fear of falling was most commonly measured using the Falls Efficacy Scale, the Activities-specific Balance Scale and their modified versions. A total of 15 of the 23 studies reported statistically significant changes in fear of falling. Quality assessment showed 10 studies to be rated as 'good.' Conclusion: This review showed that exergame may have a positive effect in reducing fear of falling in community-dwelling older adults. The finding provides a direction for clinical practice in the research area of intervention on fear of falling in older adults.

The Context of Caring and Concern for Falling Differentiate Which Mobile Fall Technology Features Chinese Family Caregivers Find Most Important.

Falls are not only a leading cause of death and disability, but also a strain on the capacity for caregivers to provide care. This study examined how the context of caregiving relates to the importance of caregiver-defined mobile fall prevention feature sets. A sample of 266 family caregivers, recruited from a Chinese social media platform, reported care for an older adult and interest in mobile fall prevention technology features. Factor analysis identified three caregiver-defined feature sets: automatic fall response, digitized fall prevention tools, and social features. Multiple regression showed caregivers' concern about falling was the most robust predictor of a feature set's importance. Poisson regression revealed that caregiver concern and assistance with instrumental activities of daily living were associated with rating more features as important. Our findings suggest that caregivers are interested in mobile fall prevention technologies that support older adults' independence while also alleviating concerns about falling.