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

Apps, Mobile, Wearables for Diabetes (311) Web-based and Mobile Health Interventions (3401) Mobile Health (mhealth) (3011) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1449) Chatbots and Conversational Agents (562) Diabetes (198) Artificial Intelligence in Diabetes Care and Prevention (31)

Published on in Vol 9 (2024)

This is a member publication of National University of Singapore

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/48310, first published .
Acceptability of Mobile App–Based Motivational Interviewing and Preferences for App Features to Support Self-Management in Patients With Type 2 Diabetes: Qualitative Study

Acceptability of Mobile App–Based Motivational Interviewing and Preferences for App Features to Support Self-Management in Patients With Type 2 Diabetes: Qualitative Study

Acceptability of Mobile App–Based Motivational Interviewing and Preferences for App Features to Support Self-Management in Patients With Type 2 Diabetes: Qualitative Study

Authors of this article:

Sungwon Yoon1, 2 Author Orcid Image ;   Haoming Tang3 Author Orcid Image ;   Chao Min Tan1, 2 Author Orcid Image ;   Jie Kie Phang1, 2 Author Orcid Image ;   Yu Heng Kwan1, 2, 4 Author Orcid Image ;   Lian Leng Low1, 2, 5, 6 Author Orcid Image
Article Authors Cited by (2) Tweetations (2) Metrics

Journals

  1. Kurnia A, Said F, Paduragan S. User-Centered Usability Evaluation of the DiaCare App for Diabetes Self-Management: A uMARS Analysis. Al-Rafidain Journal of Medical Sciences ( ISSN 2789-3219 ) 2024;7(2):171 View

Books/Policy Documents

  1. Cedeno-Moreno D, Arrocha-Atencio G, Dominguez-Quintero L, Vargas-Lombardo M. ICT for Intelligent Systems. View