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

Formative Evaluation of Digital Health Interventions (2837) Patient-Reported Outcome Measures (PROMs) (327) User-centred Design Case Studies (650) Clinical or Consumer-Focused Software for Diabetes (21) Diabetes-specific EHR Improvements (34)
Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/18554, first published .
Investigation of a Mobile Health Texting Tool for Embedding Patient-Reported Data Into Diabetes Management (i-Matter): Development and Usability Study

Investigation of a Mobile Health Texting Tool for Embedding Patient-Reported Data Into Diabetes Management (i-Matter): Development and Usability Study

Investigation of a Mobile Health Texting Tool for Embedding Patient-Reported Data Into Diabetes Management (i-Matter): Development and Usability Study

Authors of this article:

Antoinette Schoenthaler1 Author Orcid Image ;   Jocelyn Cruz1 Author Orcid Image ;   Leydi Payano1 Author Orcid Image ;   Marina Rosado1 Author Orcid Image ;   Kristen Labbe1 Author Orcid Image ;   Chrystal Johnson2 Author Orcid Image ;   Javier Gonzalez3 Author Orcid Image ;   Melissa Patxot4 Author Orcid Image ;   Smit Patel4 Author Orcid Image ;   Eric Leven4 Author Orcid Image ;   Devin Mann5 Author Orcid Image
Article Authors Cited by (9) Tweetations (6) Metrics

Journals

  1. Smits M, Kim C, van Goor H, Ludden G. From Digital Health to Digital Well-being: Systematic Scoping Review. Journal of Medical Internet Research 2022;24(4):e33787 View
  2. Peacock E, Craig L, Krousel-Wood M. Electronic health strategies to improve medication adherence in patients with cardiometabolic disease: current status and future directions. Current Opinion in Cardiology 2022;37(4):307 View
  3. Mandal S, Belli H, Cruz J, Mann D, Schoenthaler A. Analyzing User Engagement Within a Patient-Reported Outcomes Texting Tool for Diabetes Management: Engagement Phenotype Study. JMIR Diabetes 2022;7(4):e41140 View
  4. Marini C, Cruz J, Payano L, Flores R, Arena G, Mandal S, Leven E, Mann D, Schoenthaler A. Opening the Black Box of an mHealth Patient-Reported Outcome Tool for Diabetes Self-Management: Interview Study Among Patients With Type 2 Diabetes. JMIR Formative Research 2023;7:e47811 View
  5. Hamilton K, Forde R, Due-Christensen M, Eeg-Olofson K, Nathanson D, Rossner S, Vikstrom-Greve S, Porth A, Seidler Y, Kautzky-Willer A, Delbecque L, Ozdemir Saltik A, Hasler Y, Flores V, Stamm T, Hopkins D, Forbes A. Which diabetes specific patient reported outcomes should be measured in routine care? A systematic review to inform a core outcome set for adults with Type 1 and 2 diabetes mellitus: The European Health Outcomes Observatory (H2O) programme. Patient Education and Counseling 2023;116:107933 View
  6. Owolabi E, Boakye M, Omololu S, Smalls B, Shaibi G. Technology-Based Interventions to Promote Diabetes Self-Management Behaviors for Persons Newly Diagnosed with Type 2 Diabetes: A Scoping Review. Current Diabetes Reports 2024;24(12):257 View
  7. Sasseville M, Supper W, Gartner J, Layani G, Amil S, Sheffield P, Gagnon M, Hudon C, Lambert S, Attisso E, Ouellet S, Breton M, Poitras M, Roux-Lévy P, Plaisimond J, Bergeron F, Ashcroft R, Wong S, Groulx A, Paquette J, D'Anjou N, Langlois S, LeBlanc A. Electronic Implementation of Patient-Reported Outcome Measures in Primary Health Care: Mixed Methods Systematic Review. Journal of Medical Internet Research 2025;27:e63639 View

Books/Policy Documents

  1. Silberman J, Sarlati S, Kaur M, Bokhari W. Diabetes Digital Health and Telehealth. View

Conference Proceedings

  1. Rodriguez D, Lawrence K, Luu S, Chirn B, Gonzalez J, Mann D. 2022 IEEE 10th International Conference on Healthcare Informatics (ICHI). PAMS - A Personalized Automatic Messaging System for User Engagement with a Digital Diabetes Prevention Program View