Consumer-grade smart watches have penetrated the health research space rapidly since 2014. Smart watch technical function, acceptability, and effectiveness in supporting health must be validated in larger field studies that enroll actual participants living with the conditions these devices target.

Introduction There is a critical need for public health interventions to support the independence of older adults as the world’s population ages. Health smart homes (HSH) and home-based consumer health (HCH) technologies may play a role in these interventions. Methods We conducted a systematic review of HSH and HCH literature from indexed repositories for health care and technology disciplines (e.g., MEDLINE, CINAHL, and IEEE Xplore) and classified included studies according to an evidence-based public health (EBPH) typology. Results One thousand, six hundred and thirty nine candidate articles were identified. Thirty-one studies from the years 1998–2011 were included. Twenty-one included studies were classified as emerging, 10 as promising and 3 as effective (first tier). Conclusion The majority of included studies were published in the period beginning in the year 2005. All 3 effective (first tier) studies and 9 of 10 of promising studies were published during this period. Almost all studies included an activity sensing component and most of these used passive infrared motion sensors. The three effective (first tier) studies all used a multicomponent technology approach that included activity sensing, reminders and other technologies tailored to individual preferences. Future research should explore the use of technology for self-management of health by older adults, social support and self-reported health measures incorporated into personal health records, electronic medical records, and community health registries.

Introduction Older adults with multiple chronic conditions face the complex task of medication management involving multiple medications of varying doses at different times. Advances in telehealth technologies have resulted in home-based devices for medication management and health monitoring of older adults. We examined older adults’ perceptions of a telehealth medication dispensing device as part of a clinical trial involving home health care clients, nurse coordination and use of the medication dispensing device. Methods Ninety-six frail older adult participants who used the medication dispensing device for 12 months completed a satisfaction survey related to perceived usefulness and reliability. Results were analyzed and grouped by themes in the following areas: Ease of Use, Reliability, Medication Management Assistance, Routine Task Performance and Acceptability. Results Nearly all participants perceived the medication dispensing device as very easy to use, very reliable and helpful in management of their medications. Eighty-four percent of participants expressed a desire to use the machine in the future. Conclusion The technology-enhanced medication management device in this study is an acceptable tool for older adults to manage medication in collaboration with home care nurses. Improved usability and cost models for medication dispensers are areas for future research. Trial Registration clinicaltrials.gov identifier: NCT01321853

Purpose The aim of this paper is to demonstrate how informatics applications can support the assessment and visualization of older adults’ wellness. A theoretical framework is presented that informs the design of a technology enhanced screening platform for wellness. We highlight an ongoing pilot demonstration in an assisted living facility where a community room has been converted into a living laboratory for the use of diverse technologies (including a telehealth component to capture vital signs and customized questionnaires, a gait analysis component and cognitive assessment software) to assess the multiple aspects of wellness of older adults. Methods A demonstration project was introduced in an independent retirement community to validate our theoretical framework of informatics and wellness assessment for older adults. Subjects are being recruited to attend a community room and engage in the use of diverse technologies to assess cognitive performance, physiological and gait variables as well as psychometrics pertaining to social and spiritual components of wellness for a period of eight weeks. Data are integrated from various sources into one study database and different visualization approaches are pursued to efficiently display potential correlations between different parameters and capture overall trends of wellness. Results Preliminary findings indicate that older adults are willing to participate in technology-enhanced interventions and embrace different information technology applications given appropriate and customized training and hardware and software features that address potential functional limitations and inexperience with computers. Conclusion Informatics can advance health care for older adults and support a holistic assessment of older adults’ wellness. The described framework can support decision making, link formal and informal caregiving networks and identify early trends and patterns that if addressed could reduce adverse health events.

Objectives: To date, methodologies are lacking that address a holistic assessment of wellness in older adults. Technology applications may provide a platform for such an assessment, but have not been validated. We set out to demonstrate whether e-health applications could support the assessment of older adults' wellness in communitydwelling older adults. Materials and Methods: Twenty-seven residents of independent retirement community were followed over 8 weeks. Subjects engaged in the use of diverse technologies to assess cognitive performance, physiological and functional variables, as well as psychometric components of wellness. Data were integrated from various e-health sources into one study database. Correlations were assessed between different parameters, and hierarchical cluster analysis was used to explore the validity of the wellness model. Results: We found strong associations across multiple parameters of wellness within the conceptual model, including cognitive, functional, and physical. However, spirituality did not correlate with any other parameter studied in contrast to prior studies of older adults. Participants expressed overall positive attitudes toward the e-health tools and the holistic approach to the assessment of wellness, without expressing any privacy concerns. Conclusions: Parameters were highly correlated across multiple domains of wellness. Important clusters were noted to be formed across cognitive and physiological domains, giving further evidence of need for an integrated approach to the assessment of wellness. This finding warrants further replication in larger and more diverse samples of older adults to standardize and deploy these technologies across population groups.

Background: Smart home technologies provide a valuable resource to unobtrusively monitor health and wellness within an older adult population. However, the breadth and density of data available along with aging associated decreases in working memory, prospective memory, spatial cognition, and processing speed can make it challenging to comprehend for older adults. We developed visualizations of smart home health data integrated into a framework of wellness. We evaluated the visualizations through focus groups with older adults and identified recommendations to guide the future development of visualizations. Materials and Methods: We conducted four focus groups with older adult participants (n = 31) at an independent retirement community. Participants were presented with three different visualizations from a wellness pilot study. A qualitative descriptive analysis was conducted to identify thematic content. Results: We identified three themes related to processing and application of visualizations: (1) values of visualizations for wellness assessment, (2) cognitive processing approaches to visualizations, and (3) integration of health data for visualization. In addition, the focus groups highlighted key design considerations of visualizations important towards supporting decision-making and evaluation assessments within integrated health displays. Conclusions: Participants found inherent value in having visualizations available to proactively engage with their healthcare provider. Integrating the visualizations into a wellness framework helped reduce the complexity of raw smart home data. There has been limited work on health visualizations from a consumer perspective, in particular for an older adult population. Creating appropriately designed visualizations is valuable towards promoting consumer involvement within the shared decision-making process of care.

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Background High-intensity physical activity improves the health of people with HIV. Even when people have good intentions to engage in physical activity, they often find it difficult to maintain physical activity behavior in the long term. Two Minds Theory is a neurocognitive model that explains gaps between people’s intentions and behaviors based on the operations of 2 independent mental systems. This model predicts that everyday experiences will affect physical activity and that factors outside people’s awareness, such as sleep and stress, can have particularly strong effects on physical activity behaviors. Objective We designed this study to test the effects of daily experiences on physical activity among people with HIV, including measures of people’s conscious experiences using daily electronic surveys and measures of nonconscious influences using sensor devices. Methods In this study, 55 people with HIV wore a Fitbit Alta for 30 days to monitor their physical activity, sleep, and heart rate variability (HRV) as a physiological indicator of stress. Participants also used their smartphones to complete daily electronic surveys for the same 30 days about fatigue, self-efficacy, mood, stress, coping, motivation, and barriers to self-care. Time-lagged, within-person, multilevel models were used to identify the best prospective predictors of physical activity, considering the daily survey responses of people with HIV and sensor data as predictors of their physical activity the following day. We also tested baseline surveys as predictors of physical activity for comparison with daily variables. Results Different people had different average levels of physical activity; however, physical activity also varied substantially from day to day, and daily measures were more predictive than baseline surveys. This suggests a chance to intervene based on day-to-day variations in physical activity. High-intensity physical activity was more likely when people with HIV reported less subjective fatigue on the prior day (r=−0.48) but was unrelated to actual sleep based on objective sensor data. High-intensity physical activity was also predicted by higher HRV (r=0.56), indicating less stress, lower HIV-related stigma (r=−0.21), fewer barriers to self-care (r=−0.34), and less approach coping (r=−0.34). Similar variables predicted lower-level physical activity measured based on the number of steps per day of people with HIV. Conclusions Some predictors of physical activity, such as HRV, were only apparent based on sensor data, whereas others, such as fatigue, could be measured via self-report. Findings about coping were unexpected; however, other findings were in line with the literature. This study extends our prior knowledge on physical activity by demonstrating a prospective effect of everyday experiences on physical activity behavior, which is in line with the predictions of Two Minds Theory. Clinicians can support the physical activity of people with HIV by helping their patients reduce their daily stress, fatigue, and barriers to self-care.