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Blended Resources for Integrated Diabetes Guidance and Empowerment

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

Status
Not yet recruiting
Phases
Unknown
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT07373379
Acronym
BRIDGE
Enrollment
1200
Registered
2026-01-28
Start date
2026-03-01
Completion date
2026-10-30
Last updated
2026-02-23

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Type 2 Diabetes Mellitus

Keywords

Type 2 Diabetes Mellitus, digital health, AI, blended care

Brief 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

Interventions

DEVICEAI-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.

Sponsors

Peking University
Lead SponsorOTHER

Study design

Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
TREATMENT
Masking
SINGLE (Outcomes Assessor)

Eligibility

Sex/Gender
ALL
Age
18 Years to 70 Years
Healthy volunteers
No

Inclusion criteria

* Aged 18 to 70 years (inclusive). * Glycosylated hemoglobin (HbA1c) level ≥ 6.5%. * Resided in the local area for at least 6 months. * Capable of using a smartphone to take photos and use the WeChat mini-program. * Willing and able to provide informed consent.

Exclusion criteria

* Diagnosed with Type 1 diabetes, gestational diabetes, or secondary diabetes. * Presence of severe diabetic complications. * Received radiotherapy or chemotherapy within the past 6 months. * Diagnosed with severe intellectual disabilities, Alzheimer's disease, or other serious psychiatric disorders. * Current participation in other research projects that may affect the results of this study. * Presence of other severe disabilities or medical conditions deemed unsuitable for participation by the investigators.

Design outcomes

Primary

MeasureTime frameDescription
Change in Glycosylated Hemoglobin (HbA1c) LevelsBaseline, Month 3, and Month 6Glycosylated Hemoglobin (HbA1c) reflects the average plasma glucose concentration over the preceding 3 months. It serves as the gold standard biomarker for long-term glycemic control in diabetes management. Data will be obtained from venous blood samples collected at community health centers. A lower HbA1c percentage indicates better glycemic control.

Secondary

MeasureTime frameDescription
Change in Blood PressureBaseline, Month 3, and Month 6Measured as Systolic and Diastolic Blood Pressure in mmHg using a standard sphygmomanometer. Lower blood pressure values (approaching the normal range) indicate better cardiovascular risk management.
Incidence of Diabetes ComplicationsBaseline, Month 3, and Month 6The occurrence of new or worsening diabetes-related complications, including but not limited to neuropathy, retinopathy, nephropathy, and cardiovascular events. Data will be collected through medical record reviews and patient self-reports. A lower incidence rate indicates better disease management
Quality of Life (EQ-5D-5L)Baseline, Month 3, and Month 6Assessed using the EuroQol 5-Dimension 5-Level (EQ-5D-5L) questionnaire. It covers five dimensions: mobility, self-care, usual activities, pain/discomfort, and anxiety/depression. Responses are converted into a single utility index score ranging from less than 0 to 1. Higher scores indicate better health-related quality of life.
Self-Management Behaviors (SDSCA)Baseline, Month 3, and Month 6Assessed using the Summary of Diabetes Self-Care Activities (SDSCA) questionnaire. This instrument measures the frequency of self-care activities (including diet, exercise, blood sugar testing, and foot care) over the past 7 days. Higher scores indicate better adherence to diabetes self-management activities.
Treatment Satisfaction (DTSQs)Baseline, Month 3, and Month 6Assessed using the Diabetes Treatment Satisfaction Questionnaire (DTSQs). This tool evaluates the patient's satisfaction with their current treatment regimen, including perception of hyperglycemia/hypoglycemia and convenience. Higher scores indicate greater satisfaction with the treatment.
Digital Literacy (C-eHEALS)Baseline, Month 3, and Month 6Assessed using the Chinese eHealth Literacy Scale (C-eHEALS). This scale measures the participants' combined knowledge, comfort, and perceived skills at finding, evaluating, and applying electronic health information to health problems. Higher scores indicate higher levels of electronic health literacy.
Change in Body Mass Index (BMI)Baseline, Month 3, and Month 6Calculated as weight in kilograms divided by the square of height in meters (kg/m\^2). BMI is used as an indicator of body fatness and weight management status. A lower BMI (within the healthy range) generally indicates better weight control outcomes.
Medical CostsBaseline, Month 3, and Month 6Total direct and indirect costs related to diabetes management. Direct costs include expenses for examinations, medications, outpatient/inpatient visits, transportation, and caregiver fees. Indirect costs include caregiver time costs. Data will be collected via patient questionnaires and healthcare utilization records. Lower costs indicate a reduced economic burden.

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 24, 2026