ArticleJMIR research protocols2025
Gamified Optimized Diabetes Management With Artificial Intelligence-Powered Rural Telehealth Intervention (GODART): Protocol for an Optimization Pilot and Feasibility Trial.
Article in JMIR research protocols, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05344859 (A Feasibility and Pilot Trial of Gamification and AI-based Health Coaching Intervention Components for Diabetes Management Using the GODART Platform), which is not on this map. Cited by 2 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
A Feasibility and Pilot Trial of Gamification and AI-based Health Coaching Intervention Components for Diabetes Management Using the GODART Platform
Who cites it
2 citing papers in PubMed.
- Bridging the Digital Divide in Diabetes Care With an AI-Powered Health Coaching Intervention: Qualitative Formative Study.JMIR diabetes · 2026Article
- Power Calculation in 2Prevention science : the official journal of the Society for Prevention Research · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
Abstract
backgroundType 2 diabetes mellitus (T2DM) is highly prevalent in the United States and represents a significant public health challenge. Telehealth interventions have shown promise for improving T2DM outcomes, but their effectiveness is often limited by disparities in digital literacy and access, especially in rural areas. To address this gap, we propose an innovative, individualized lifestyle modification intervention delivered via phone call to support glycemic control.
objectiveThis paper outlines the protocol for a pilot study designed to assess the feasibility and preliminary effectiveness of an artificial intelligence-assisted intervention for T2DM self-management in rural settings.
methodsThe study uses the preparation phase of the MOST (Multiphase Optimization Strategy) framework to evaluate two components: (1) automated versus human health coaching and (2) fixed versus adapted gamified financial incentives, based on participants' daily engagement with automated monitoring calls. We aim to enroll 88 adults with T2DM and hemoglobin A
resultsThis study was funded by the National Institute of Diabetes and Digestive and Kidney Diseases. As of October 2025, we have enrolled and completed data collection for 88 participants. We expect to complete the feasibility analysis by December 2025.
conclusionsThis pilot and feasibility study evaluates a low-tech, artificial intelligence-assisted T2DM intervention designed to reduce digital barriers and inform a future MOST optimization trial.
trial registrationClinicalTrials.gov NCT05344859; https://clinicaltrials.gov/study/NCT05344859. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/70271.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.