ArticleJMIR aging2024
Decoding the Influence of eHealth on Autonomy, Competence, and Relatedness in Older Adults: Qualitative Analysis of Self-Determination Through the Motivational Technology Model.
Article in JMIR aging, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Integrating AI-Powered Chatbots Into Patient Education From the Perspectives of Patients, Caregivers, and Nurses: Qualitative Study.Journal of medical Internet research · 2026Article
- Perceived Algorithmic Care Intensity and Older Adults' Autonomy in Community Smart Care: Mixed Methods Study.JMIR aging · 2026Article
- Undermining older adults' autonomy impairs physical health: longitudinal evidence and psychological mechanisms.BMC geriatrics · 2026Article
- Digital Empowerment for Older Women: Addressing Inequality Through Competence Training.Healthcare (Basel, Switzerland) · 2026Article
- Experience of older adults using smart devices and mHealth apps for proactive health: a descriptive qualitative study based on the technology acceptance model.Frontiers in public health · 2026Article
- The impact of fitness app need support on women's exercise adherence behavior: a serial mediation effect of self-efficacy and perceived health control.Frontiers in psychology · 2026Article
- Exploring the Challenges and Consequences of Maternal Parenting in the Age of Digital Children (Digital Baby Syndrome): A Grounded Theory Study.Iranian journal of psychiatry · 2026Article
- Evaluation methods of internet of things in nursing care interventions for older adults: a scoping review protocol.BMJ open · 2025Article
- A study on the relationship between technological affordance of age-appropriate smart wearable devices and the well-being of older adults.Frontiers in public health · 2025Article
- Current status of older people with chronic diseases adopting digital health technologies: A scoping review.Digital healthReview
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Authors and funding
12 authors.
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Abstract
backgroundOlder adults adopt and use eHealth systems to build autonomy, competence, and relatedness and engage in healthy behaviors. The motivational technology model posits that technology features, such as those on websites, smart displays, and mobile phones, must allow for navigability, interactivity, and customizability, which spur feelings of self-determination and intrinsic motivation. We studied ElderTree, an online system for older adults that provides on-demand videos of healthy living content, self-monitoring, and weekly researcher-hosted video meetings.
objectiveWe aimed to understand the theoretical crossover between the motivational technology model and self-determination theory using features of ElderTree to understand the usability of the technology and how it may support older adults' autonomy, competence, and relatedness.
methodsDrawing participants from a randomized controlled trial of a mobile health app for older adults with multiple chronic conditions, we conducted qualitative interviews with 22 older adults about their use of the app; the interviews were coded using qualitative thematic analysis.
resultsOlder adults did find that features within ElderTree such as content available on demand, good navigation, and weekly researcher-led video calls supported feelings of autonomy, competence, and relatedness, respectively. Individual differences such as a background using computers also influenced participants' experiences with the smart displays.
conclusionsParticipants confirmed the features that increased internal motivation, such as interactivity correlating with feelings of relatedness, but they also found other ways to support autonomous health behavior change beyond narrow views of navigability, interactivity, and customization.
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