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

Formative Evaluation of Digital Health Interventions (3229) Web-based and Mobile Health Interventions (4018) User-Centered Design Case Studies (713) Usability of Apps and User Perceptions of mHealth (1188) Engagement with and Adherence to Digital Health Interventions, Law of Attrition (638) Mobile Health (mhealth) (3464) E-Health / Health Services Research and New Models of Care (718) mHealth for Health Administration (184)

Published on in Vol 7 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/47813, first published .
Identifying Design Opportunities for Adaptive mHealth Interventions That Target General Well-Being: Interview Study With Informal Care Partners

Identifying Design Opportunities for Adaptive mHealth Interventions That Target General Well-Being: Interview Study With Informal Care Partners

Identifying Design Opportunities for Adaptive mHealth Interventions That Target General Well-Being: Interview Study With Informal Care Partners

Authors of this article:

Xinghui Yan1 Author Orcid Image ;   Mark W Newman1 Author Orcid Image ;   Sun Young Park1, 2 Author Orcid Image ;   Angelle Sander3 Author Orcid Image ;   Sung Won Choi4 Author Orcid Image ;   Jennifer Miner5 Author Orcid Image ;   Zhenke Wu5 Author Orcid Image ;   Noelle Carlozzi5 Author Orcid Image
Article Authors Cited by (1) Tweetations (3) Metrics

Conference Proceedings

  1. Kumakawa E, Takahashi M, Sano T, Fujimura K, Sato T, Katagiri Y. 2025 IEEE International Conference on Digital Health (ICDH). Predicting Action Plan Adherence: A Machine Learning Approach Using Dialogue Data in Health Guidance Interviews View