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

mHealth for Wellness, Behavior Change and Prevention (3476) mHealth for Data Collection and Research (1286) Usability of Apps and User Perceptions of mHealth (1260) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1844) Focus Groups and Qualitative Research for Human Factors Research (1345) Design and Formative Evaluation of Mobile Apps (841) Depression and Mood Disorders; Suicide Prevention (1796) Users' and Patients' Needs for Mental Health Services (540) User Needs and Competencies (512) Participatory Design and Participatory Research (460) Ecological Momentary Assessment (EMA) (444)

Published on in Vol 13 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/67141, first published .
Requirements and Concerns of Individuals Remitted From Depression for an Early Relapse Detection mHealth App: Focus Group Study

Requirements and Concerns of Individuals Remitted From Depression for an Early Relapse Detection mHealth App: Focus Group Study

Requirements and Concerns of Individuals Remitted From Depression for an Early Relapse Detection mHealth App: Focus Group Study

Authors of this article:

Tina Coenen1 Author Orcid Image ;   Matthias Maerevoet2 Author Orcid Image ;   Stephanie Chen3 Author Orcid Image ;   Mathias De Brouwer3 Author Orcid Image ;   Sofie Van Hoecke3 Author Orcid Image ;   Ernst HW Koster2 Author Orcid Image ;   Mariek MP Vanden Abeele1 Author Orcid Image ;   Klaas Bombeke1 Author Orcid Image
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Journals

  1. Vander Zwalmen Y, Maerevoet M, Coenen T, Hoorelbeke K, Chen S, De Brouwer M, Vanderhasselt M, Van Hoecke S, Bombeke K, De Raedt R, Koster E. Mobile technology for just-in-time prediction of depression: a scoping review. Nature Mental Health 2026;4(5):851 View