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Blended Resources for Integrated Diabetes Guidance and Empowerment
Sponsor: Peking University
Summary
The goal of this cluster randomized clinical trial is to learn if an AI-enabled blended care model (the BRIDGE program) works to treat type 2 diabetes in adults. It will also learn about the cost-effectiveness and implementation feasibility of this model in primary care settings. The main questions it aims to answer are: Does the AI-driven intervention lower HbA1c levels (blood sugar) compared to standard care? Does this model improve participants' quality of life, self-management behaviors, and digital literacy? Researchers will compare the "Diet-Medicine Companion" (Shi Yi Ban Lv) mini-program combined with family doctor support to standard community care to see if the blended care model works to manage diabetes. Participants will: Use the "Diet-Medicine Companion" mini-program to upload diet photos daily and receive AI feedback for 6 months Receive periodic guidance and phone reminders from case administrators (family doctors) Complete questionnaires and blood tests (HbA1c) at baseline, 3 months, and 6 months
Official title: Effectiveness and Implementation of an AI-Driven Blended Care Model for Type 2 Diabetes Management in Primary Care: A Single-Blind, Cluster Randomized Controlled Trial in Zhangjiagang, China
Key Details
Gender
All
Age Range
18 Years - 70 Years
Study Type
INTERVENTIONAL
Enrollment
1200
Start Date
2026-03-01
Completion Date
2026-10-30
Last Updated
2026-02-23
Healthy Volunteers
No
Conditions
Interventions
AI-driven Dietary Management and Human-in-the-loop Support
The intervention consists of a 6-month AI-enabled blended care program using the "Diet-Medicine Companion" (Shi Yi Ban Lv) WeChat mini-program. Patient Component (AI Support): Participants are required to upload dietary photos and blood glucose records via the mini-program at least once daily. The system, powered by a Large Language Model (LLM), provides immediate, personalized dietary feedback and answers diabetes-related queries via an AI chatbot. Provider Component (Human Support): Case administrators (family doctors) monitor patient data through a provider dashboard. The protocol involves "human-in-the-loop" support, where doctors provide telephone reminders if participants are inactive (no uploads) for more than 7 days. Doctors also intervene to provide medical guidance or health education based on specific system alerts or patient needs.