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

Formative Evaluation of Digital Health Interventions (2973) Ubiquitous Health (uHealth) (133) Mobile Health (mhealth) (3285) Participatory Medicine & E-Patients (845) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1633) Diabetes Self-Management (550) Web-based and Mobile Health Interventions (3787)

Published on in Vol 7 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/47811, first published .
Opening the Black Box of an mHealth Patient-Reported Outcome Tool for Diabetes Self-Management: Interview Study Among Patients With Type 2 Diabetes

Opening the Black Box of an mHealth Patient-Reported Outcome Tool for Diabetes Self-Management: Interview Study Among Patients With Type 2 Diabetes

Opening the Black Box of an mHealth Patient-Reported Outcome Tool for Diabetes Self-Management: Interview Study Among Patients With Type 2 Diabetes

Authors of this article:

Christina Marini1 Author Orcid Image ;   Jocelyn Cruz2 Author Orcid Image ;   Leydi Payano2 Author Orcid Image ;   Ronaldo Patino Flores2 Author Orcid Image ;   Gina-Maria Arena2 Author Orcid Image ;   Soumik Mandal2, 3 Author Orcid Image ;   Eric Leven3 Author Orcid Image ;   Devin Mann4 Author Orcid Image ;   Antoinette Schoenthaler2 Author Orcid Image
Article Authors Cited by (1) Tweetations (2) Metrics

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  1. Tsave O, Kalokyri V, El Ghosh M, Sfakianakis S, Mazzetti S, Daniel C, Dhombres F, Tachos N, Marias K, Tsiknakis M, Chouvarda I. Trustworthy AI in Cancer Imaging Research. View