ArticleJMIR mHealth and uHealth2020
Comparison of Mobile Health Technology Use for Self-Tracking Between Older Adults and the General Adult Population in Canada: Cross-Sectional Survey.
Article in JMIR mHealth and uHealth, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers, 2 of them syntheses that pooled it.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
44 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Digital Cognitive Rehabilitation Platforms for Older Adults in Portugal: A Systematic Review.International journal of environmental research and public health · 2026Pooled it
- Sociotechnical Factors Affecting Patients' Adoption of Mobile Health Tools: Systematic Literature Review and Narrative Synthesis.JMIR mHealth and uHealth · 2022Pooled it
- Outcomes of a smartphone-based application with live health-coaching post-percutaneous coronary intervention.EBioMedicine · 2021Trial
- Optimizing Usability of Digital Health Interventions for Nondigitally Native Adults: A Framework-Based Approach to Develop Just-in-Time Adaptive Interventions (JITAIs) and Other Adaptations.JMIR human factors · 2026Article
- Clinician Decision-Making Around Offering Home Video Telehealth Visits: Qualitative Study.JMIR formative research · 2026Article
- Experiences of Older Adults and Caregivers With Home Telemonitoring for Heart Failure in Canada: Qualitative Study.JMIR aging · 2026Article
- Implementation of a Multidevice Telemonitoring Program for Home-Based Nursing Care in Quebec: Qualitative Report.JMIR medical informatics · 2026Article
- Older Adults' Experiences Navigating Setup of Digital Health Technology: Implementation Report.JMIR formative research · 2026Article
- Challenges and Opportunities for Improving Care for Type 1 Diabetes in Older Adulthood.Diabetes care · 2026Review
- Evaluation of a Student-Older Adult Telephone Befriending Program to Reduce Social Isolation During the COVID-19 Pandemic.Canadian geriatrics journal : CGJ · 2026Article
- Latent obstacles in older adults' digital health participation: a community-based hybrid cluster analysis with natural language processing.BMC public health · 2025Article
- eHealth and the Digital Divide Among Older Canadians: Insights from a National Cross-Sectional Study.Journal of medical Internet research · 2025Article
- Factors Associated With the Intention to Use mHealth Among Thai Middle-Aged Adults and Older Adults: Cross-Sectional Study.JMIR human factors · 2025Article
- An Actor-Partner Interdependence Mediation Model for Assessing the Association Between Health Literacy and mHealth Use Intention in Dyads of Patients With Chronic Heart Failure and Their Caregivers: Cross-Sectional Study.JMIR mHealth and uHealth · 2025Article
- Analysis of Factors Influencing the Willingness of Chinese Older Adults to Use mHealth Devices: Nationwide Cross-Sectional Survey Study.Journal of medical Internet research · 2025Article
- Effect of the Big Five Personality on the intention to use mHealth applications among the Chinese elderly: a national-based study.Frontiers in psychology · 2025Article
- Generational differences in healthcare: the role of technology in the path forward.Frontiers in public health · 2025Article
- Development of a 24-hour movement index: exploring acceptability among Canadian parents.Frontiers in sports and active living · 2025Article
- Hybrid care model: Combining telemedicine and office visits for diabetes management in older adults with type 1 diabetes.Medical research archives · 2024Article
- Experiences of receiving an mHealth application with proactive nursing support among community-dwelling older adults: a mixed-methods study.BMC nursing · 2024Article
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe burden of population aging and chronic conditions has been reported worldwide. Older adults, especially those with high needs, experience social isolation and have high rates of emergency visits and limited satisfaction with the care they receive. Mobile health (mHealth) technologies present opportunities to address these challenges. To date, limited information is available on Canadian older adults' attitudes toward and use of mHealth technologies for self-tracking purposes-an area that is increasingly important and relevant during the COVID-19 era.
objectiveThis study presents contributions to an underresearched area on older adults and mHealth technology use. The aim of this study was to compare older adults' use of mHealth technologies to that of the general adult population in Canada and to investigate the factors that affect their use.
methodsA cross-sectional survey on mHealth and digital self-tracking was conducted. A web-based questionnaire was administered to a national sample of 4109 Canadian residents who spoke either English or French. The survey instrument consisted of 3 sections assessing the following items: (1) demographic characteristics, health status, and comorbidities; (2) familiarity with and use of mHealth technologies (ie, mobile apps, consumer smart devices/wearables such as vital signs monitors, bathroom scales, fitness trackers, intelligent clothing); and (3) factors influencing the continued use of mHealth technologies.
resultsSignificant differences were observed between the older adults and the general adult population in the use of smart technologies and internet (P<.001). Approximately 47.4% (323/682) of the older adults in the community reported using smartphones and 49.8% (340/682) indicated using digital tablets. Only 19.6% (91/463) of the older adults using smartphones/digital tablets reported downloading mobile apps, and 12.3% (47/383) of the older adults who heard of smart devices/wearables indicated using them. The majority of the mobile apps downloaded by older adults was health-related; interestingly, their use was sustained over a longer period of time (P=.007) by the older adults compared to that by the general population. Approximately 62.7% (428/682) of the older adults reported tracking their health measures, but the majority did so manually. Older adults with one or more chronic conditions were mostly nontrackers (odds ratio 0.439 and 0.431 for traditional trackers and digital trackers, respectively). No significant differences were observed between the older adults and the general adult population with regard to satisfaction with mHealth technologies and their intention to continue using them.
conclusionsLeveraging mHealth technologies in partnership with health care providers and sharing of health/well-being data with health care professionals and family members remain very limited. A culture shift in the provision of care to older adults is deemed necessary to keep up with the development of mHealth technologies and the changing demographics and expectations of patients and their caregivers.
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