Published on in Vol 6, No 10 (2018): October

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/10776, first published .
An mHealth Diabetes Intervention for Glucose Control: Health Care Utilization Analysis

An mHealth Diabetes Intervention for Glucose Control: Health Care Utilization Analysis

An mHealth Diabetes Intervention for Glucose Control: Health Care Utilization Analysis

Journals

  1. Li J, Sun L, Wang Y, Guo L, Li D, Liu C, Sun N, Xu Z, Li S, Jiang Y, Wang Y, Zhang S, Chen L. A Mobile-Based Intervention for Glycemic Control in Patients With Type 2 Diabetes: Retrospective, Propensity Score-Matched Cohort Study. JMIR mHealth and uHealth 2020;8(3):e15390 View
  2. Fareed N, Swoboda C, Singh P, Boettcher E, Wang Y, Venkatesh K, Strouse R. Developing and testing an integrated patient mHealth and provider dashboard application system for type 2 diabetes management among Medicaid-enrolled pregnant individuals based on a user-centered approach: Mixed-methods study. DIGITAL HEALTH 2023;9:205520762211441 View
  3. Joachim S, Forkan A, Jayaraman P, Morshed A, Wickramasinghe N. A Nudge-Inspired AI-Driven Health Platform for Self-Management of Diabetes. Sensors 2022;22(12):4620 View
  4. Fareed N, Swoboda C, Wang Y, Strouse R, Hoseus J, Baker C, Joseph J, Venkatesh K. An Evidence-Based Framework for Creating Inclusive and Personalized mHealth Solutions—Designing a Solution for Medicaid-Eligible Pregnant Individuals With Uncontrolled Type 2 Diabetes. JMIR Diabetes 2023;8:e46654 View
  5. Alsayed A, Ismail N, Hasan L, Syed A, Embarak F, Da'u A. A systematic literature review for understanding the effectiveness of advanced techniques in diabetes self-care management. Alexandria Engineering Journal 2023;79:274 View