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

mHealth for Wellness, Behavior Change and Prevention (2273)
Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/15927, first published .
Incorporating Behavioral Trigger Messages Into a Mobile Health App for Chronic Disease Management: Randomized Clinical Feasibility Trial in Diabetes

Incorporating Behavioral Trigger Messages Into a Mobile Health App for Chronic Disease Management: Randomized Clinical Feasibility Trial in Diabetes

Incorporating Behavioral Trigger Messages Into a Mobile Health App for Chronic Disease Management: Randomized Clinical Feasibility Trial in Diabetes

Authors of this article:

Scott Sittig 1 Author Orcid Image ;   Jing Wang 2 Author Orcid Image ;   Sriram Iyengar 3 Author Orcid Image ;   Sahiti Myneni 4 Author Orcid Image ;   Amy Franklin 4 Author Orcid Image
Article Authors Cited by (12) Tweetations (7) Metrics

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  8. Gupta K, Roy S, Altameem A, Kumar R, Saudagar A, Poonia R. Usability Evaluation and Classification of mHealth Applications for Type 2 Diabetes Mellitus Using MARS and ID3 Algorithm. International Journal of Environmental Research and Public Health 2022;19(12):6999 View
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  10. Amagai S, Pila S, Kaat A, Nowinski C, Gershon R. Challenges in Participant Engagement and Retention Using Mobile Health Apps: Literature Review. Journal of Medical Internet Research 2022;24(4):e35120 View
  11. Kruse C, Mileski M, Heinemann K, Huynh H, Leafblad A, Moreno E. Analyzing the Effectiveness of mHealth to Manage Diabetes Mellitus Among Adults Over 50: A Systematic Literature Review. Journal of Multidisciplinary Healthcare 2023;Volume 16:101 View
  12. Jakob R, Harperink S, Rudolf A, Fleisch E, Haug S, Mair J, Salamanca-Sanabria A, Kowatsch T. Factors Influencing Adherence to mHealth Apps for Prevention or Management of Noncommunicable Diseases: Systematic Review. Journal of Medical Internet Research 2022;24(5):e35371 View