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

Diabetes Self-Management (588) Apps, Mobile, Wearables for Diabetes (364) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1732) Patient-Reported Outcome Measures (PROMs) (372) Text-messaging (SMS, WeChat etc)-Based Interventions (751) mHealth for Wellness, Behavior Change and Prevention (3315)

Published on in Vol 7, No 4 (2022): Oct-Dec

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/41140, first published .
Analyzing User Engagement Within a Patient-Reported Outcomes Texting Tool for Diabetes Management: Engagement Phenotype Study

Analyzing User Engagement Within a Patient-Reported Outcomes Texting Tool for Diabetes Management: Engagement Phenotype Study

Analyzing User Engagement Within a Patient-Reported Outcomes Texting Tool for Diabetes Management: Engagement Phenotype Study

Authors of this article:

Soumik Mandal1, 2 Author Orcid Image ;   Hayley M Belli1 Author Orcid Image ;   Jocelyn Cruz1 Author Orcid Image ;   Devin Mann1, 3 Author Orcid Image ;   Antoinette Schoenthaler1 Author Orcid Image
Article Authors Cited by (2) Tweetations (5) Metrics

Journals

  1. Yang Y, Wang T, Chan H, Huang Y. Key Elements and Theoretical Foundations for the Design and Delivery of Text Messages to Boost Medication Adherence in Patients With Diabetes, Hypertension, and Hyperlipidemia: Scoping Review. Journal of Medical Internet Research 2025;27:e71982 View
  2. Figueiredo T, Alcântara L, Carrilho J, Paúl C, Costa E. Understanding Adherence to Digital Health Technologies: Systematic Review of Predictive Factors. Journal of Medical Internet Research 2025;27:e77362 View