ArticleFrontiers in psychology2022
Adoption of mobile health services using the unified theory of acceptance and use of technology model: Self-efficacy and privacy concerns.
Article in Frontiers in psychology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 1 of them a synthesis that pooled it.
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Who cites it
34 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Adoption of Internet of Things in Health Care: Weighted and Meta-Analytical Review of Theoretical Frameworks and Predictors.Journal of medical Internet research · 2026Pooled it
- Coaching-Driven Digital Literacy for Older Adults: Results from AGAPE Ecosystem Pilot Study.Geriatrics (Basel, Switzerland) · 2026Article
- Determinants of Behavioral Intention to Use Digital Healthcare Services: A Cross-Sectional PLS-SEM Study on the Shukhee App in Bangladesh.Health science reports · 2026Article
- National Acceptance and Determinants of Immersive Extended Reality in Health Care in China: Cross-Sectional Study.Journal of medical Internet research · 2026Article
- Determining the adoption intention and influencing factors of telerehabilitation by people with rehabilitation needs: a cross-sectional survey.BMC public health · 2026Article
- Healthcare consumers' acceptance and use of digital health technology in LMICs and the role of self-efficacy and facilitating conditions: a systematic review and meta-analysis.The Lancet regional health. Western Pacific · 2026Article
- Perspectives Regarding the Privacy, Security, and Confidentiality of Data Collected via mHealth Apps in Saudi Arabia: Qualitative Analysis.Journal of medical Internet research · 2026Article
- Supporting Access to Care Through Peripheral Devices and Patient-Generated Health Data: Qualitative Study.Journal of medical Internet research · 2026Article
- Evolution of Biosensors and Current State-of-the-Art Applications in Diabetes Control.Biosensors · 2026Review
- Impact of technological acceptance on application-based engagement among type 2 diabetes patients: local insights and implications for developing countries.Journal of pharmaceutical policy and practice · 2026Article
- Data fairness-the new social challenge of the data economy: what shapes social media users' perception of data fairness?Frontiers in psychology · 2026Article
- The intention to adopt mental mHealth services in emergencies: pre-engagement social determinants of PTSD-Coach app use.Frontiers in digital health · 2026Article
- What drives people to use self-driving cars? An integrated model.BMC psychology · 2025Article
- Cultivating Digital Wellness: Embracing Mobile Mental Health Apps in Saudi Arabia.Healthcare (Basel, Switzerland) · 2025Article
- Factors influencing the adoption of telemedicine services among middle-aged and older patients with chronic conditions in rural China: a multicentre cross-sectional study.BMC health services research · 2025Article
- Determinants of Patient Satisfaction With Telemental Health Services in Germany: Representative Cross-Sectional Postpandemic Survey Study.JMIR mental health · 2025Article
- Barriers to the Utilization of mHealth Applications in Saudi Arabia: Insights from Patients with Chronic Diseases.Healthcare (Basel, Switzerland) · 2025Article
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- Research on the influencing factors of users' continuance intentions of wearable medical devices-a perspective integrating the UTAUT model and gamification elements.Frontiers in public health · 2025Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Mobile health (mHealth) services have been widely used in medical services and health management through mobile devices and multiple channels, such as smartphones, wearable equipment, healthcare applications (Apps), and medical platforms. However, the number of the users who are currently receiving the mHealth services is small. In China, more than 70% of internet users have never used mHealth services. Such imbalanced situation could be attributed to users' traditional concept of medical treatment, psychological factors (such as low self-efficacy) and privacy concerns. The purpose of this study is to explore the direct and indirect effects of mHealth users' self-efficacy and privacy concerns on their intention to adopt mHealth services, providing guidelines for mHealth service providers to enhance users' intention of adoption. A questionnaire was designed by the research team and 386 valid responses were collected from domestic participants in China. Based on the unified theory of acceptance and use of technology (UTAUT) model, a research model integrated self-efficacy and privacy concerns was constructed to investigate their effects on users' intention to adopt mobile mHealth services. The results show that self-efficacy could facilitate users' intention to adopt mHealth services, and had a significantly positive effect on perceived ubiquity, effort expectancy, performance expectancy and subjective norm. This study verifies the direct and indirect effects of self-efficacy and privacy concerns on users' intention to adopt mHealth services, providing a different perspective for studying mHealth adoption behavior. The findings could provide guidelines for mHealth service providers to improve their service quality and enhance users' intention of adoption.
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