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

Mobile Health (mhealth) (3593) mHealth for Data Collection and Research (1231) mHealth for Patient Education (298) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1789) mHealth for Telemedicine and Homecare (551) mHealth in a Clinical Setting (764) Safety and Error Prevention in Health (255)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/71086, first published .
Real-World Mobile Health Implementation and Patient Safety: Multicenter Qualitative Study

Real-World Mobile Health Implementation and Patient Safety: Multicenter Qualitative Study

Real-World Mobile Health Implementation and Patient Safety: Multicenter Qualitative Study

Authors of this article:

Jing Jing Su1, 2 Author Orcid Image ;   Michelle Hui Shan Chan3 Author Orcid Image ;   Gabriela Lima de Melo Ghisi4, 5 Author Orcid Image ;   Rick Yiu Cho Kwan1, 2 Author Orcid Image ;   Arkers Kwan Ching Wong6 Author Orcid Image ;   Rose Lin7 Author Orcid Image ;   Jerry Wing Fai Yeung6 Author Orcid Image ;   Qijun He8 Author Orcid Image ;   Garyfallia Pepera9 Author Orcid Image ;   Ladislav Batalik10, 11, 12, 13 Author Orcid Image
Article Authors Cited by (8) Tweetations (3) Metrics

Journals

  1. Su J, Batalik L, Candelaria D. One size does not fit all: socio-cultural considerations for cardiac rehabilitation. European Journal of Cardiovascular Nursing 2025;24(5):686 View
  2. Volkmar A, von der Decken C, Kleinert S, Karberg K, Gauler G, Klennert M, Klennert J, Aries P, Froschauer S, Wildenhain S, Muth T, Späthling-Mestekemper S, Kuhn C, Vorbrüggen W, Welcker M, Bartz-Bazzanella P, Englbrecht M. Potential of digital applications for self-management and other outcomes in inflammatory rheumatic diseases: a systematic literature review. Frontiers in Medicine 2025;12 View
  3. Wang J, Zhou Y, Huang W, Yin H, Zhu X, Yao Z, Dong B, He P. A common-sense model–based nursing intervention improves exercise compliance in coronary heart disease: a randomized controlled trial and a pilot study. Frontiers in Cardiovascular Medicine 2025;12 View
  4. Qiu L, Tang C, Bi X, Burtch G, Chen Y, Zhang H. Physician Use of Large Language Models: A Quantitative Study Based on Large-Scale Query-Level Data. Journal of Medical Internet Research 2025;27:e76941 View
  5. Lyu Y, Li X, Li H, Gu M, Xu X, Wang Y, Jin C. Bridging Policy and Practice in Telemedicine Follow-Up Identification: Multicenter Mixed Methods Study in Beijing. JMIR Human Factors 2025;12:e75964 View
  6. Seretlo R, Mokgatle M, Smuts H, Sepeng N. Development of an mHealth App Prototype for LGBTQIA+ Individuals’ Sexual and Reproductive Health in Gauteng Province, South Africa: Design Science Research Study. JMIR Formative Research 2025;9:e79593 View
  7. Wantiyah W, Hartopo A, Setiyarini S, Setianto B. Home-Based Exercise Cardiac Telerehabilitation on Adherence and Functional Capacity for Patients After Percutaneous Coronary Intervention in Indonesia: Protocol for a Quasi-Experimental Study. JMIR Research Protocols 2026;15:e81067 View
  8. Kortianou E, Isakoglou M, Karagianni E, Antoniou V, Sapouna V, Pepera G. Remotely Administered Walking Tests for Assessing Functional Capacity in Patients with Chronic Pulmonary Diseases or Heart Failure: A Systematic Review of Agreement, Reliability, Feasibility and Clinical Utility. Healthcare 2026;14(5):576 View