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

Theme Issue 2023: Digital Technology for Behavioral Interventions in Aging: Opportunities and Challenges (12) Web-based and Mobile Health Interventions (4018) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1732) mHealth for Telemedicine and Homecare (531) Heart Failure Self-Management (179) Cardiac Self-Management (146) Usability of Apps and User Perceptions of mHealth (1188) e-Cardiology and Telemonitoring in Cardiology (221) Cardiac Disease Management (156) Text-messaging (SMS, WeChat etc)-Based Interventions (751) Wearable Devices and Sensors (1133)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/55586, first published .
Patient-Centered mHealth Intervention to Improve Self-Care in Patients With Chronic Heart Failure: Phase 1 Randomized Controlled Trial

Patient-Centered mHealth Intervention to Improve Self-Care in Patients With Chronic Heart Failure: Phase 1 Randomized Controlled Trial

Patient-Centered mHealth Intervention to Improve Self-Care in Patients With Chronic Heart Failure: Phase 1 Randomized Controlled Trial

Authors of this article:

Spyros Kitsiou1 Author Orcid Image ;   Ben S Gerber2 Author Orcid Image ;   Susan W Buchholz3 Author Orcid Image ;   Mayank M Kansal1 Author Orcid Image ;   Jiehuan Sun1 Author Orcid Image ;   Susan J Pressler4 Author Orcid Image
Article Authors Cited by (5) Tweetations (2) Metrics

Journals

  1. Ahmad O, Ibrahim R, Odunsi D, Mohammed M, Mathew B, Touny M, Grewal B, Bhanot S, Bodapati N, Thomas G, NV S, Masood L, Morani Z. Role of Mobile Health and Wearable Devices in Cardiovascular Disease Prevention: A Comprehensive Review. Cureus 2025 View
  2. Moghani S, Marvi H, Mohammadpoory Z. Enhanced heart sound analysis through hierarchical spectral basis vector extraction using deep orthogonal non-negative matrix factorization. The Journal of Supercomputing 2025;81(8) View
  3. Gingele A, Steiner B, Zippel-Schultz B, Brunner-La Rocca H. Adherence to eHealth Interventions Among Patients With Heart Failure: Scoping Review. JMIR mHealth and uHealth 2025;13:e63409 View
  4. Pongsittisak W, Suraamornkul S. A Simplified Machine Learning Model for Predicting Reduced Kidney Function in Thai Patients with Type 2 Diabetes: A Retrospective Study. Journal of Clinical Medicine 2025;14(13):4735 View
  5. Jo Y, Pyeon A, Hu M, Kim S, Choi I, Kim D, Chun J. Pilot Study of a Mobile, Virtual Reality–Based Digital Therapeutic for Smoking Cessation: Randomized Controlled Trial. JMIR mHealth and uHealth 2025;13:e66411 View