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

Formative Evaluation of Digital Health Interventions (2193) Patient-Reported Outcome Measures (PROMs) (274) User-centred Design Case Studies (562) Clinical or Consumer-Focused Software for Diabetes (18) Diabetes-specific EHR Improvements (29)
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 (7) 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

Books/Policy Documents

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