This paper is in the following e-collection/theme issue:

Mobile Health (mhealth) (3464) Usability of Apps and User Perceptions of mHealth (1188) Adoption and Change Management of eHealth Systems (894) Design and Formative Evaluation of Mobile Apps (809) Cost-Effectiveness and Economics (355) Focus Groups and Qualitative Research for Human Factors Research (1220) E-Health Policy and Health Systems Innovation (341) Prescribable Digital Interventions (Digital Therapeutics) (44) Digital Therapeutics (19)

Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/49982, first published .
Problems and Barriers Related to the Use of mHealth Apps From the Perspective of Patients: Focus Group and Interview Study

Problems and Barriers Related to the Use of mHealth Apps From the Perspective of Patients: Focus Group and Interview Study

Problems and Barriers Related to the Use of mHealth Apps From the Perspective of Patients: Focus Group and Interview Study

Authors of this article:

Godwin Denk Giebel1 Author Orcid Image ;   Carina Abels1 Author Orcid Image ;   Felix Plescher1 Author Orcid Image ;   Christian Speckemeier1 Author Orcid Image ;   Nils Frederik Schrader1 Author Orcid Image ;   Kirstin Börchers2 Author Orcid Image ;   Jürgen Wasem1 Author Orcid Image ;   Silke Neusser1 Author Orcid Image ;   Nikola Blase1 Author Orcid Image
Article Authors Cited by (17) Tweetations (7) Metrics

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  1. Giebel G, Abels C, Börchers K, Kampka B, Neusser S, Cissarek H, Plescher F, Wasem J, Blase N. Integration of digital health applications into the German healthcare system: development of “The DiGA-Care Path”. Frontiers in Health Services 2024;4 View
  2. von Degenfeld G, Langbein A, Boscheri A, Ziegler M, Demlehner J, Weyh P, Leber A, Schreier S, Spitzer S. Digital health programme following rhythm control in patients with atrial fibrillation: comprehensive disease management by self-monitoring, coaching, and telemedicine. European Heart Journal - Digital Health 2025;6(2):261 View
  3. Jin X, Zhang Y, Zhou M, Mei Q, Bai Y, Hu Q, Wei W, Zhang X, Ma F. 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 2025;13:e63805 View
  4. Alzghaibi H. Healthcare Practitioners’ Perceptions of mHealth Application Barriers: Challenges to Adoption and Strategies for Enhancing Digital Health Integration. Healthcare 2025;13(5):494 View
  5. Alzghaibi H. Barriers to the Utilization of mHealth Applications in Saudi Arabia: Insights from Patients with Chronic Diseases. Healthcare 2025;13(6):665 View
  6. Li C, Zhao Y, Bai Y, Zhao B, Tola Y, Chan C, Zhang M, Fu X. Unveiling the Potential of Large Language Models in Transforming Chronic Disease Management: Mixed Methods Systematic Review. Journal of Medical Internet Research 2025;27:e70535 View
  7. Alzghaibi H. Barriers to the utilization of the Sehaty mobile health application in Saudi Arabia: a cross-sectional survey of non-healthcare users. Frontiers in Medicine 2025;12 View
  8. Ravi R, Shiva A, Jacob J, Baby P, Pareek B, V K. Exploring the factors influencing the intention to use mHealth applications in resource scare settings; a SEM analysis among future nurses. Global Transitions 2025;7:199 View
  9. Valliyappan I, Lee Y, Ng C, Lim H. Exploring primary care doctors’ perceptions and experiences in adopting mHealth with patients: A qualitative study. DIGITAL HEALTH 2025;11 View
  10. Schmitz A, Kueppers L, Klein J, Frey S, Karimzadeh A, Neves A, Weltermann B. Digital Health Applications (DiGA) for Treating Depression and Generalized Anxiety Disorder: Protocol for a Systematic Health App Review and Systematic Review of Published Evidence. JMIR Research Protocols 2025;14:e63380 View
  11. Akgün M, Soygüder S. A Hybrid Decision-Making Framework for Evaluating mHealth App Quality: Integrating Fuzzy BWM with the Weighted Heronian Mean. International Journal of Fuzzy Systems 2025 View
  12. Chao A, Martignetti L, Groh R, Kist A, Li-Jessen N. An mHealth App and System Architecture for Respiratory Disease Management: Design Principles, Tool Development, and Pilot Usability Study. JMIR Formative Research 2025;9:e73584 View
  13. Jähnig T, Mayer L, Böhm L, Hübner G, Müller-Stierlin A, Janni W, Lukac S, Kestler H, Schwab J, Kestler A, Seufferlein T, Barzel A. Prevent-Take-Up – Krebsprävention via App. Zeitschrift für Allgemeinmedizin 2025;101(7):371 View
  14. Weber M, Mattli R, Raab A, Frei A, Haas K, Marcin T, Vorster A, Schmitt K. What to Consider When Developing Multidomain Mobile Health Interventions for Lifestyle Management. JMIR mHealth and uHealth 2025;13:e63573 View
  15. Adler R, Shan J, Sotelo J, Raudales Reyes D, Baez K, Delgado M, Mathur A, Phillips A, Zhou K, Magasi S. Designing an mHealth prototype for people with disabilities: insights from co-design and heuristic evaluation. Disability and Rehabilitation: Assistive Technology 2025:1 View
  16. Falkenburger B, Fanciulli A, Pötter-Nerger M, van Eimeren T, Classen J, Höglinger G, Redecker C, Winkler J, Klucken J. Clinical utility of digital technologies in Parkinson’s disease. Journal of Neural Transmission 2025 View
  17. Du Y, Fan J, Liu G, Yang Z, Lei Y, Guo Y. Interpretable Machine Learning Models for Analyzing Determinants Affecting the Use of mHealth Apps Among Family Caregivers of Patients With Stroke in Chinese Communities: Cross-Sectional Survey Study. JMIR mHealth and uHealth 2025;13:e73903 View