ArticleInternational journal of information management2021
Determinants of mHealth success: An empirical investigation of the user perspective.
Article in International journal of information management, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.
What it found
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Who cites it
32 citing papers in PubMed.
- Willingness and Preferences for Mobile Health Versus In-Person Healthcare Services Among People Living With HIV: A Cross-Sectional Study.Health science reports · 2026Article
- Applying a multi-level usability framework for evaluation of a pregnancy health promotion app.BMC medical informatics and decision making · 2026Article
- Perceived usefulness and satisfaction of pregnant women with a WhatsApp-based education intervention aiming to improve access to pregnancy care: a mixed-methods evaluation.BMJ public health · 2026Article
- 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
- Examining factors affecting the acceptance of AI-powered creativity support tools among the industrial design community in China.Scientific reports · 2025Article
- User Experience in mHealth Research: Bibliometric Analysis of Trends and Developments (2007-2023).JMIR mHealth and uHealth · 2025Review
- Article
- Exploring Young Adults' Attitudes Toward AI-Driven mHealth Apps: Qualitative Study.JMIR human factors · 2025Article
- mHealth Applications for Childhood Anxiety Disorders: Current Landscape, Challenges, and Future Directions.Current psychiatry reports · 2025Review
- The Influence of UI Design Attributes and Users' Uncertainty Avoidance on Stickiness of the Young Elderly Toward mHealth Applications.Behavioral sciences (Basel, Switzerland) · 2025Article
- Cancer patients' acceptance of virtual reality interventions for self-emotion regulation.Scientific reports · 2025Article
- Understanding and overcoming barriers to digital health adoption: a patient and public involvement study.Translational behavioral medicine · 2025Article
- From Acceptance to Dependence: Exploring Influences of Smart Healthcare on Continuous Use Intention of Mobile Health Services Among Older Adults with Chronic Illnesses in China.Behavioral sciences (Basel, Switzerland) · 2024Article
- Users' Perceived Service Quality of National Telemedicine Services During the COVID-19 Pandemic in Bangladesh: Cross-Sectional Study.JMIR human factors · 2024Article
- Healthcare Outcomes of Patients and Antecedents via Teleophthalmology in Eastern Taiwan during COVID-19.Healthcare (Basel, Switzerland) · 2024Article
- Weight Management Health Note, a Mobile Health Platform for Obesity Management Developed by the Korean Society for the Study of Obesity.Journal of obesity & metabolic syndrome · 2024Article
- Determining information system end-user satisfaction and continuance intension with a unified modeling approach.Scientific reports · 2024Article
- MyTrack+: Human-centered design of an mHealth app to support long-term weight loss maintenance.Frontiers in digital health · 2024Article
- A Novel Smartphone App for Self-Monitoring of Neonatal Jaundice Among Postpartum Mothers: Qualitative Research Study.JMIR mHealth and uHealth · 2023Article
- Understanding Post-Adoption Behavioral Intentions of Mobile Health Service Users: An Empirical Study during COVID-19.International journal of environmental research and public health · 2023Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Mobile health (mHealth) applications have become an important tool to support public health, especially in times of increased health awareness in the midst of the COVID-19 pandemic. However, there is still uncertainty about what factors determine successful mHealth services from the users' perspective. Based on the results of a systematic literature review, a qualitative content analysis of available apps and semi-structured user and expert interviews, we derive a structural model with antecedents on user attitudes towards mHealth and user satisfaction with the mHealth application. These variables determine users' intention to continue using the application and their intention to recommend it to others. For verification, we tested the model with a sample of 249 German mHealth users from the "MyFitnessPal" community using structural equation modelling and found that all derived path relations have significant coefficients.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.