Learning From Older Adults to Promote Independent Physical Activity Using Mobile Health (mHealth)

Project Vayoraksha: Implementation of novel mHealth technology for healthcare delivery during COVID-19 in geriatric population of Kerala

Background & objectives mHealth technologies, with their potential in improving public health, have recently gained considerable interest in India, offering an opportunity to deliver tailored and low cost interventions to the selected populations, especially in resource-poor settings. Project Vayoraksha aimed at developing and pilot testing mHealth technology-assisted strategies (Vayoraksha mobile application and field Vayoraksha network) to improve healthcare delivery and reverse quarantine at the field level among the geriatric population. Methods This field operational research study was implemented in Pathanamthitta, Kerala, from October 2020 to July 2021. The Vayoraksha mobile phone application for the geriatric users and a web interface used by healthcare workers involved in the field Vayoraksha network was developed with multisectoral expertise. Vayoraksha had facilities for symptom surveillance, teleconsultation and assessment of needs and included a community-based system to monitor and meet their needs that can help in reverse quarantine of the geriatric population. Results The project was implemented using the field Vayoraksha campaign involving frontline health workers and community volunteers. A baseline survey of 4782 geriatric population in the study area was conducted in Phase I, and 2383 (49.8%) had access to a smartphone facility to use Vayoraksha. Of these, 1257 (52.7%) were covered under the 'field Vayoraksha campaign' using intersectoral coordination and community participation. A total of 750 (59.6%) geriatric individuals downloaded the application of whom, 452 (60.3%) used the services of Vayoraksha. Needs were registered by 56 (12.3%) individuals of which 46 (82.1%) were medical needs related to the management of chronic diseases. More than 70 per cent of the needs were met through the Vayoraksha field network under the local primary health centre. More than 80 per cent of the geriatric individuals reported symptoms related to COVID-19 during the intervention period. Compliance with quarantine was observed in 77.7 per cent of the geriatric populations. Among those who used Vayoraksha, 26 (5.7%) availed tele-counselling services, and 3 (0.6%) used teleconsultation facilities. It was observed that Vayoraksha users had a higher proportion of the geriatric population who were young, educated, having chronic morbidity and living with family. Regular symptom surveillance was done within this group; only 12 (2.6%) of them tested positive for COVID-19 during this study. Interpretation & conclusions Results of this pilot study are promising, with 60 per cent of the geriatric population downloading and using Vayoraksha within a short time. Technology-assisted interventions can supplement the existing system for improved healthcare delivery among the vulnerable groups and have good potential for scale-up in the near future in developing countries.

Usability and Utility of a Mobile App to Deliver Health-Related Content to an Older Adult Population: Pilot Noncontrolled Quasi-Experimental Study

BACKGROUND

Digital patient-centered interventions may be important tools for improving and promoting social interaction, health, and well-being among older adults. In this regard, we developed a mobile app called DigiAdherence for an older adult population, which consisted of easy-to-access short videos and messages, to improve health-related knowledge among them and prevent common health conditions, such as falls, polypharmacy, treatment adherence, nutritional problems, and physical inactivity.

OBJECTIVE

This study aimed to assess the usability and utility of the DigiAdherence app among Portuguese older adults 65 years or older.

METHODS

In this pilot noncontrolled quasi-experimental study, older adults who were patients at the primary health care center in Portimão, Portugal, and owned a smartphone or tablet were recruited. Participants were assessed at baseline, given access to the DigiAdherence app for 1 month, and assessed again immediately after 30 days (first assessment) and 60 days after stopping the use of the app (second assessment). App usability and utility (primary outcomes) were analyzed in the first follow-up assessment using a structured questionnaire with 8 items. In the second follow-up assessment, our focus was on knowledge acquired through the app. Secondary outcomes such as treatment adherence and health-related quality of life were also assessed.

RESULTS

The study included 26 older adults. Most participants rated the different functionalities of the app positively and perceived the app as useful, attractive, and user-friendly (median score of 6 on a 7-point Likert scale). In addition, after follow-up, participants reported having a sense of security and greater knowledge in preventing falls (16/24, 67%) and managing therapies and polypharmacy (16/26, 62%).

CONCLUSIONS

The DigiAdherence mobile app was useful and highly accepted by older adults, who developed more confidence regarding health-related knowledge.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

RR2-10.2196/29675.

Factors influencing older adults' participation in telehealth interventions for primary prevention and health promotion: A rapid review

OBJECTIVE

To identify facilitators and barriers to older adults' participation in telehealth interventions for primary prevention and health promotion.

METHODS

Relevant articles were searched using keywords in Embase and MEDLINE. Study characteristics, type of telehealth interventions and technology involved, as well as facilitators and barriers to their use, were extracted from selected articles. The Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) model was used to organise data.

RESULTS

A total of 24 articles (pertaining to 20 studies) were included. Nine facilitators and 11 barriers influencing the participation in telehealth interventions for primary prevention and health promotion among older adults were identified. The most recurrent facilitators were related to the individual's performance expectancy and effort expectancy, as well as the presence of a social dimension associated with the intervention (i.e. having a good relationship with the other participants in the program). The two most prevalent barriers were also related to effort expectancy and performance expectancy, followed by barriers related to the inherent characteristics of the technology and older adults' health condition. Experience, age and gender were also found to moderate technology use and acceptance.

CONCLUSIONS

This rapid review highlights the importance of adopting a holistic perspective when designing telehealth interventions aimed at preventive and health promotion purposes among older adults.

Evaluating Users' Experiences of a Child Multimodal Wearable Device: Mixed Methods Approach

BACKGROUND

Wearable devices permit the continuous, unobtrusive collection of data from children in their natural environments and can transform our understanding of child development. Although the use of wearable devices has begun to emerge in research involving children, few studies have considered families' experiences and perspectives of participating in research of this kind.

OBJECTIVE

Through a mixed methods approach, we assessed parents' and children's experiences of using a new wearable device in the home environment. The wearable device was designed specifically for use with infants and young children, and it integrates audio, electrocardiogram, and motion sensors.

METHODS

In study 1, semistructured phone interviews were conducted with 42 parents of children aged 1 month to 9.5 years who completed 2 day-long recordings using the device, which the children wore on a specially designed shirt. In study 2, a total of 110 parents of children aged 2 months to 5.5 years responded to a questionnaire assessing their experience of completing 3 day-long device recordings in the home. Guided by the Digital Health Checklist, we assessed parental responses from both studies in relation to the following three key domains: (1) access and usability, (2) privacy, and (3) risks and benefits.

RESULTS

In study 1, most parents viewed the device as easy to use and safe and remote visits as convenient. Parents' views on privacy related to the audio recordings were more varied. The use of machine learning algorithms (vs human annotators) in the analysis of the audio data, the ability to stop recordings at any time, and the view that the recordings reflected ordinary family life were some reasons cited by parents who expressed minimal, if any, privacy concerns. Varied risks and benefits were also reported, including perceived child comfort or discomfort, the need to adjust routines to accommodate the study, the understanding gained from the study procedures, and the parent's and child's enjoyment of study participation. In study 2, parents' ratings on 5 close-ended items yielded a similar pattern of findings. Compared with a "neutral" rating, parents were significantly more likely to agree that (1) device instructions were helpful and clear (t109=-45.98; P<.001), (2) they felt comfortable putting the device on their child (t109=-22.22; P<.001), and (3) they felt their child was safe while wearing the device (t109=-34.48; P<.001). They were also less likely to worry about the audio recordings gathered by the device (t108=6.14; P<.001), whereas parents' rating of the burden of the study procedures did not differ significantly from a "neutral" rating (t109=-0.16; P=.87).

CONCLUSIONS

On the basis of parents' feedback, several concrete changes can be implemented to improve this new wearable platform and, ultimately, parents' and children's experiences of using child wearable devices in the home setting.

Associations between perceived usefulness and willingness to use smart healthcare devices among Chinese older adults: The multiple mediating effect of technology interactivity and technology anxiety

Objective

This study aims to explore the mediating roles of technological interactivity and technological anxiety in the relationship between perceived usefulness and the willingness to use a smart health device to provide insight into the decision-making process of older adults in relation to the adoption of smart devices.

Methods

A cross-sectional survey was conducted in Jiangsu, China involving 552 older adults. The study utilized structural equation modeling (SEM) to analyze the relationship between the independent variable 'perceived usefulness' and the dependent variable 'willingness to use.' It also examined the multiple mediating effects of technological interactivity and technological anxiety between the independent and dependent variables.

Results

The results indicate that the direct effect of perceived usefulness on willingness to use was insignificant. However, technological interactivity completely mediated the relationship between perceived usefulness and willingness to use. Additionally, technological interactivity and technological anxiety were found to have a serial mediating effect on the impact of perceived usefulness on willingness to use smart healthcare devices.

Conclusions

These findings suggest that increasing older adults' intention to use smart healthcare devices requires not only raising awareness of their usefulness, but also addressing technological anxiety and enhancing the interactivity of these devices to improve the overall user experience.

Older Adults and New Technology: Mapping Review of the Factors Associated With Older Adults' Intention to Adopt Digital Technologies

BACKGROUND

Ongoing advancements in digital solutions support older adults' healthy aging and well-being. However, a unified synthesis of sociodemographic, cognitive, attitudinal, emotional, and environmental factors that influence older adults' intention to use these new digital technologies is still lacking. Understanding the salient factors that influence older adults' intention to use digital technologies will help to ensure that technology is developed appropriately and contextually. This understanding is also likely to contribute to developing technology acceptance models specifically for the aging generation, by reorganizing principles and constructing objectivity criteria for future research studies.

OBJECTIVE

This review aims to identify the key factors associated with older adults' intention to use digital technologies and to provide a comprehensive conceptual framework to describe the relationships between these key factors and older adults' intention to use digital technologies.

METHODS

A mapping review was conducted using 9 databases from inception to November 2022. Articles were selected for review if they had an evaluative component of older adults' intention to use digital technologies. Three researchers independently reviewed the articles and extracted the data. Data synthesis was performed via narrative review and quality appraisal was measured using 3 different tools based on each article's study design.

RESULTS

We identified a total of 59 articles investigating older adults' intention to use digital technologies. The majority (40/59, 68%) of articles did not use an existing framework or model for technology acceptance. Studies mostly adopted a quantitative research design (27/59, 46%). We found 119 unique factors reported to influence older adults' intention to use digital technologies. These were categorized into 6 distinct themes: Demographics and Health Status, Emotional Awareness and Needs, Knowledge and Perception, Motivation, Social Influencers, and Technology Functional Features.

CONCLUSIONS

Given the importance of global demographic change toward an aging society, there is surprisingly limited research on the factors that influence older adults' intention to use digital technologies. Our identification of the key factors across different types of digital technology and models supports the future integration of a comprehensive perspective encompassing environmental, psychological, and social determinants for older adults' intention to use digital technologies.

The Independent Walking for Brain Health Intervention for Older Adults: Protocol for a Pilot Randomized Controlled Trial

BACKGROUND

Extensive research suggests that physical activity (PA) is important for brain and cognitive health and may help to delay or prevent Alzheimer's disease and related dementias. Most PA interventions designed to improve brain health in older adults have been conducted in laboratory, gym, or group settings that require extensive resources and travel to the study site or group sessions. Research is needed to develop novel interventions that leverage mobile health (mHealth) technologies to help older adults increase their engagement in PA in free-living environments, reducing participant burden and increasing generalizability of research findings. Moreover, promoting engagement in moderate-to-vigorous PA (MVPA) may be most beneficial to brain health; thus, using mHealth to help older adults increase time spent in MVPA in free-living environments may help to offset the burden of Alzheimer's disease and related dementias and improve quality of life in older age.

OBJECTIVE

We developed a novel PA intervention that leverages mHealth to help older adults achieve more minutes of MVPA independently. This pilot study was a 12-week randomized controlled trial to investigate the feasibility of providing just-in-time (JIT) feedback about PA intensity during free-living exercise sessions to help older adults meet current PA recommendations (150 minutes per week of MVPA).

METHODS

Participants were eligible if they were cognitively healthy English speakers aged between 65 and 80 years without major cardiovascular, neurologic, or mental health conditions; could ambulate independently; and undergo magnetic resonance imaging. Enrollment occurred from October 2017 to March 2020. Participants randomized to the PA condition received an individualized exercise prescription and an mHealth device that provided heart rate-based JIT feedback on PA intensity, allowing them to adjust their behavior in real time to maintain MVPA during exercise sessions. Participants assigned to the healthy aging education condition received a reading prescription consisting of healthy aging topics and completed weekly quizzes based on the materials.

RESULTS

In total, 44 participants were randomized to the intervention. A follow-up manuscript will describe the results of the intervention as well as discuss screening, recruitment, adverse events, and participants' opinions regarding their participation in the intervention.

CONCLUSIONS

The long-term goal of this intervention is to better understand how MVPA affects brain and cognitive health in the real world and extend laboratory findings to everyday life. This pilot randomized controlled trial was conducted to determine the feasibility of using JIT heart rate zone feedback to help older adults independently increase time spent in MVPA while collecting data on the plausible mechanisms of change (frontal and medial temporal cerebral blood flow and cardiorespiratory fitness) that may affect cognition (memory and executive function) to help refine a planned stage 2 behavioral trial.

TRIAL REGISTRATION

ClinicalTrials.gov NCT03058146; https://clinicaltrials.gov/ct2/show/NCT03058146.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

DERR1-10.2196/42980.

eHealth Platforms to Promote Autonomous Life and Active Aging: A Scoping Review

New technologies, namely eHealth platforms, are being used more than ever before. These platforms enable older people to have a more independent lifestyle, enhance their participation, and improve their well-being. Information and communication technologies are expected to be linked to the triad of aging, social inclusion, and active participation, which is in line with the implementation of Smart Healthy and Age-Friendly Environments. This scoping review aimed to map eHealth platforms designed to promote autonomous life and active aging. The Joanna Briggs Institute methodology and the PRISMA-ScR checklist were used. A search was conducted on MEDLINE (via PubMed), CINAHL Complete (via EBSCOhost), Scopus, Cochrane Database of Systematic Reviews (via EBSCOhost), SciELO, DART-Europe, CAPES, and MedNar databases. Fourteen studies were included. This scoping review synthesized information on eHealth platforms designed to promote active living, their domains of intervention, and the outcomes assessed in those studies that have implemented and evaluated these eHealth platforms.