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

Mobile Health (mhealth) (3464) Human Factors and Usability Case Studies (1005) mHealth for Telemedicine and Homecare (531) Advanced Data Analytics in eHealth (209) Decision Support for Health Professionals (1539) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1732) Cardiac Disease Management (156)

Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/53991, first published .
Living Lab Data of Patient Needs and Expectations for eHealth-Based Cardiac Rehabilitation in Germany and Spain From the TIMELY Study: Cross-Sectional Analysis

Living Lab Data of Patient Needs and Expectations for eHealth-Based Cardiac Rehabilitation in Germany and Spain From the TIMELY Study: Cross-Sectional Analysis

Living Lab Data of Patient Needs and Expectations for eHealth-Based Cardiac Rehabilitation in Germany and Spain From the TIMELY Study: Cross-Sectional Analysis

Authors of this article:

Boris Schmitz1, 2 Author Orcid Image ;   Svenja Wirtz1, 2 Author Orcid Image ;   Manuela Sestayo-Fernández3 Author Orcid Image ;   Hendrik Schäfer1, 2 Author Orcid Image ;   Emma R Douma4 Author Orcid Image ;   Marta Alonso Vazquez3 Author Orcid Image ;   Violeta González-Salvado5 Author Orcid Image ;   Mirela Habibovic4 Author Orcid Image ;   Dimitris Gatsios6 Author Orcid Image ;   Willem Johan Kop4 Author Orcid Image ;   Carlos Peña-Gil5 Author Orcid Image ;   Frank Mooren1, 2 Author Orcid Image
Article Authors Cited by (4) Tweetations (11) Metrics

Journals

  1. Xu D, Xu D, Wei L, Bao Z, Liao S, Zhang X. The Effectiveness of Remote Exercise Rehabilitation Based on the “SCeiP” Model in Homebound Patients With Coronary Heart Disease: Randomized Controlled Trial. Journal of Medical Internet Research 2024;26:e56552 View
  2. Balke M, Garbsch R, Cormann J, Pape P, Mooren F, Schmitz B. Design and validation of an energy level diary for fatigue management in patients with post-COVID syndrome. Frontiers in Rehabilitation Sciences 2025;6 View
  3. Habibovic M, Douma E, Schäfer H, Sestayo-Fernandez M, Roovers T, Sun X, Schmidt H, Kotewitsch M, Widdershoven J, Cantarero-Prieto D, Mooren F, Pena-Gil C, González Juanatey J, Schmidt M, Malberg H, Tsakanikas V, Fotiadis D, Gatsios D, Bosch J, Kop W, Schmitz B. Patient-Centered Risk Prediction, Prevention, and Intervention Platform (TIMELY) to Support the Continuum of Care in Coronary Artery Disease Using eHealth and Artificial Intelligence: Protocol for a Randomized Controlled Trial. JMIR Research Protocols 2025;14:e66283 View
  4. Kotewitsch M, Scharnagl H, Köstler D, Teschler M, Garbsch R, Schäfer H, Waranski M, Vereckei K, Böll G, Kleber M, Dressel A, März W, Schmitz B, Mooren F. Biomarker-based risk assessment of dietary intervention in patients with coronary artery disease during cardiac rehabilitation—a quasi-experimental study. Frontiers in Nutrition 2025;12 View