ArticleJMIR mHealth and uHealth2022
Role of Social and App-Related Factors in Behavioral Engagement With mHealth for Improved Well-being Among Chronically Ill Patients: Scenario-Based Survey Study.
Article in JMIR mHealth and uHealth, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- The Impact of an Adaptive mHealth Intervention on Improving Patient-Provider Health Care Communication: Secondary Analysis of the DIAMANTE Trial.JMIR mHealth and uHealth · 2025Trial
- Digital Divide Among U.S. Adults with and without Cancer: Prevalence and Associated Factors.Journal of cancer education : the official journal of the American Association for Cancer Education · 2026Article
- Barriers and Facilitators of Digital Transformation in Health Care: Mixed Methods Study.Journal of participatory medicine · 2026Article
- Health-Related Internet Use Among Outpatients Undergoing Cancer Treatment During the COVID-19 Pandemic: Cross-Sectional Survey Study.JMIR human factors · 2025Article
- mHealth knowledge and usage in maternal healthcare delivery: perspectives and experiences of healthcare practitioners in Ghana.BMJ open · 2025Article
- Public perceptions on the application of artificial intelligence in healthcare: a qualitative meta-synthesis.BMJ open · 2023Article
- Development and Feasibility Testing of a Remote Support Application for Adherence to Home Exercise Programs: A Randomized Pilot Study.Progress in rehabilitation medicine · 2023Article
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6 authors.
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Abstract
backgroundThe last decade has seen a considerable increase in the number of mobile health (mHealth) apps in everyday life. These mHealth apps have the potential to significantly improve the well-being of chronically ill patients. However, behavioral engagement with mHealth apps remains low.
objectiveThe aim of this study was to describe the behavioral engagement of chronically ill patients with mHealth apps by investigating (1) how it is affected by social factors (ie, physician recommendation) and app-related factors (ie, app integration) and (2) how it affects patient well-being. This study also considers the moderating effect of attachment to traditional health care and the mobile app experience among patients.
methodsWe carried out a scenario-based survey study of chronically ill patients (N=521). A Bayesian structural equation modeling with mediation and moderation analysis was conducted in MPlus.
resultsBoth physician recommendations for mHealth app use and app integration have positive effects on the behavioral engagement of chronically ill patients with mHealth apps. Higher behavioral engagement positively affects the hedonic well-being (extent of pleasure) and the eudaemonic well-being (extent of self-efficacy) of chronically ill patients. Mobile app experience, however, positively moderates the relationship between app integration and behavioral engagement, whereas patient attachment to traditional care does not moderate the relationship between physician recommendation and behavioral engagement. Taken together, the proportion of variance explained (R²) equals 21% for behavioral engagement and 52.8% and 62.2% for hedonic and eudaemonic well-being, respectively, thereby providing support for the strong influence of app integration and physician recommendation via the mediation of the patients' behavioral engagement on both patients' hedonic and eudaemonic well-being.
conclusionsPhysician recommendation and app integration enable behavioral engagement and promote well-being among chronically ill patients. It is thus important to take social and app-related factors into consideration during and after the development of mHealth apps.
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