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

Engagement with and Adherence to Digital Health Interventions, Law of Attrition (709) Mobile Health (mhealth) (3738) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1845) Evaluation and Research Methodology for mHealth (261) Development and Evaluation of Research Methods, Instruments and Tools (851) Patient Engagement and Empowerment (139)

Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/59444, first published .
Predicting Long-Term Engagement in mHealth Apps: Comparative Study of Engagement Indices

Predicting Long-Term Engagement in mHealth Apps: Comparative Study of Engagement Indices

Predicting Long-Term Engagement in mHealth Apps: Comparative Study of Engagement Indices

Authors of this article:

Yae Won Tak1 Author Orcid Image ;   Jong Won Lee2 Author Orcid Image ;   Junetae Kim3 Author Orcid Image ;   Yura Lee1 Author Orcid Image
Article Authors Cited by (2) Tweetations (2) Metrics

Journals

  1. Sayed F, Park A, Sullivan P, Jordan A, Kwon S, Ge Y. Identifying key user experience and technical features for sustained use of unguided chatbots for health-related behavior change: a systematic review. Journal of the American Medical Informatics Association 2026 View

Conference Proceedings

  1. Donawa A, Millan J, Millan L, Reeves T, Lopez-Tucux R, Shafagati N, Arays R, Zinner R, Baker C. 2025 IEEE 21st International Conference on Body Sensor Networks (BSN). Motivating Adherence to Symptom Reporting Among Patients with Cancer: Pilot Study View