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

Engagement with and Adherence to Digital Health Interventions, Law of Attrition (497) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1421) Mobile Health (mhealth) (2972) Evaluation and Research Methodology for mHealth (209) Development and Evaluation of Research Methods, Instruments and Tools (501) Patient Engagement and Empowerment (31)

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 Tweetations (2) Metrics

Yae Won Tak   1 , MSc ;   Jong Won Lee   2 , MD, PhD ;   Junetae Kim   3 * , PhD ;   Yura Lee   1 * , MD, PhD

1 Department of Information Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea

2 Division of Breast Surgery, Department of Surgery, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea

3 Graduate School of Cancer Science and Policy, National Cancer Center, Goyang-si, Republic of Korea

*these authors contributed equally

Corresponding Author:

  • Yura Lee, MD, PhD
  • Department of Information Medicine, Asan Medical Center
  • University of Ulsan College of Medicine
  • 88, Olympic-Ro 43-Gil, Songpa-Gu
  • Seoul, 05505
  • Republic of Korea
  • Phone: 82 2-3010-1498
  • Email: haepary@amc.seoul.kr