Accessibility settings

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

RCTs - Protocols/Proposals (eHealth) (1342) Games and Gamification for Health (997) Behavior Change (1072) Health Coaching for Diabetes Patients (198) Glucose Tracking and Self-Monitoring of Blood Glucose (238) Diabetes Self-Management (722) Health Services in Resource-Poor Settings and LMICs (675) Formative Evaluation of Digital Health Interventions (5063) Artificial Intelligence (4683)

Published on in Vol 14 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/70271, first published .
Elderly person holding a lancing device, with a glucose meter and phone nearby

Gamified Optimized Diabetes Management With Artificial Intelligence–Powered Rural Telehealth Intervention (GODART): Protocol for an Optimization Pilot and Feasibility Trial

Gamified Optimized Diabetes Management With Artificial Intelligence–Powered Rural Telehealth Intervention (GODART): Protocol for an Optimization Pilot and Feasibility Trial

Authors of this article:

Tapan Mehta1 Author Orcid Image ;   Tejossy John1 Author Orcid Image ;   Aseel El Zein1 Author Orcid Image ;   Victoria Faught1 Author Orcid Image ;   Tanjila Nawshin1, 2 Author Orcid Image ;   Tejaswini Subhash Chilke3 Author Orcid Image ;   Caroline W Cohen1 Author Orcid Image ;   Andrea Cherrington4 Author Orcid Image ;   Mohanraj Thirumalai4 Author Orcid Image
Article Authors Cited by (3) Tweetations Metrics

Journals

  1. Strayhorn J, Vu P, Zheng R, Dahlen A. Power Calculation in 2k Factorial Optimization Trials: An Interactive Web Application, with Investigation of Robustness for Binary Outcome Variables. Prevention Science 2026 View
  2. Shao K, Lei H, Zhu J, Chen X, Sina Y, Yao R. Implementation and translation of evidence-based dietary strategies for type 2 diabetes in resource-limited settings: a scoping review based on the CFIR framework. Frontiers in Public Health 2026;14 View
  3. John T, Mohanraj S, Nawshin T, Mehta T, Thirumalai M. Bridging the Digital Divide in Diabetes Care With an AI-Powered Health Coaching Intervention: Qualitative Formative Study. JMIR Diabetes 2026;11:e81441 View