Effectiveness of a Virtual Health Management Community (VHMC) for Pre-diabetes in China (VHMC)
A Virtual Community-Based Digital Intervention for Prediabetes Management in China
Individuals with prediabetes are at high risk for developing type 2 diabetes mellitus (T2DM) and are therefore prone to serious complications such as stroke, kidney failure, blindness, and lower-limb amputation. Prediabetes can be reversed, and lifestyle modification is considered the most effective intervention for diabetes prevention. However, it is difficult for individuals with prediabetes to maintain long-term healthy lifestyle changes owing to psychological burnout and poor adherence during daily self-management. We developed a novel virtual health management community (VHMC) model based on group interaction management. The purpose of this study is to evaluate whether a virtual health management community-based intervention can improve glycemic control and related health outcomes in adults with prediabetes.
Participants in the intervention group will receive lifestyle management support through a virtual health management community, including health education, lifestyle guidance, and group-based interaction delivered via a digital platform.
Participants will be randomly assigned to either the virtual health management community intervention group or a usual care control group.
The study will follow participants for approximately 6 months.
Participants in the intervention group will receive lifestyle management support through a virtual health management community, including health education, lifestyle guidance, and group-based interaction delivered via a digital platform.
Participants will be randomly assigned to either the virtual health management community intervention group or a usual care control group.
The study will follow participants for approximately 6 months.
Study Overview
Status
Status
Conditions
Conditions
Intervention / Treatment
Intervention / Treatment
Detailed Description
Prediabetes, including impaired fasting glucose (IFG) and impaired glucose tolerance (IGT), is a metabolic state characterized by elevated blood glucose levels that do not yet meet the diagnostic criteria for diabetes. China has the highest prevalence of prediabetes among adults, estimated at 35.2%. Individuals with prediabetes are at high risk of progressing to type 2 diabetes mellitus (T2DM), which is associated with severe complications such as cardiovascular disease, kidney failure, blindness, and substantial economic burden. Therefore, preventing the progression from prediabetes to diabetes is an urgent public health priority.
Lifestyle modification is recognized as the most effective strategy for diabetes prevention; however, long-term adherence remains challenging. Traditional self-management interventions predominantly focus on individual-level behavior change, often overlooking the role of social support and community engagement. Group-based health management has the potential to provide social, practical, and emotional support, thereby enhancing self-efficacy, but existing models are frequently passive, fragmented, and difficult to sustain over time.
Virtual health communities (VHCs) provide online platforms that facilitate social interaction and self-management, overcoming geographical and time constraints while promoting active engagement. Although VHC-based group management approaches have been applied in various chronic diseases, their application in individuals with prediabetes remains limited. Moreover, many existing models lack sufficient group interaction and emotional engagement to support sustained behavior change.
To address these gaps, we developed a novel Virtual Health Management Community (VHMC) model that integrates structured group interaction management with digital health support, including dedicated patient and health manager modules. This study aims to apply the VHMC platform in individuals with prediabetes and to evaluate the effectiveness of this group interaction-based management model in improving glycemic control and related health outcomes.
Study Type
Study Type
Enrollment (Estimated)
Enrollment
Phase
Phase
- Not Applicable
Contacts and Locations
Study Contact
Study Contact
- Name: Xiling Hu
- Phone Number: 86 1892210 2965
- Email: flying3061983@163.com
Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
- Adult
- Older Adult
Accepts Healthy Volunteers
Description
Inclusion Criteria:
- Participants who meet the 1999 World Health Organization (WHO) diagnostic criteria and the 2010 American Diabetes Association (ADA) definition for prediabetes, including: impaired fasting glucose (IFG): fasting plasma glucose (FPG) 6.1-<7.0 mmol/L and 2-hour plasma glucose (2-hPG) <7.8 mmol/L during a 75-g oral glucose tolerance test (OGTT); or impaired glucose tolerance (IGT): FPG <7.0 mmol/L and 2-hPG 7.8-<11.1 mmol/L during a 75-g OGTT; or HbA1c 5.7%-6.4%;
- Age ≥18 years;
- Clear consciousness and adequate comprehension ability;
- Able to use a smartphone and have access to the Internet at home;
- Willing to participate in the study and provide written informed consent;
- Able to understand the purpose, procedure, and nature of the study.
Exclusion Criteria:
- Participants with significant cognitive impairment or mental disorders;
- Participants with severe malignant tumours;
- Participants with severe acute or chronic complications, such as blindness, heart failure, or end-stage renal disease.
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Prevention
- Allocation: Randomized
- Interventional Model: Parallel Assignment
- Masking: Single
Number of Arms
Arms and Interventions
Participant Group / ArmParticipant Group / Arm |
Intervention / TreatmentIntervention / Treatment |
|---|---|
|
Experimental: Intervention Group
|
The intervention group will receive group interaction management based on the Virtual Health Management Community (VHMC) plan.
After enrollment, health managers and patients will participate in face-to-face group consultations to clarify roles and responsibilities in self-management and group management, elicit patients' self-motivation statements, and jointly develop meaningful individual- and group-level goals.
Health managers will then assist patients in downloading the VHMC platform application and guide them through its modules.
After the face-to-face consultations, patients will log into the platform at home to access health information, record diabetes-related daily experiences, participate in community interactions, and implement lifestyle interventions.
Health managers will continuously assess participants' progress in knowledge acquisition and lifestyle implementation and provide feedback and guidance throughout the intervention period.
|
|
Active Comparator: Control group
|
The control group participants will receive conventional health education including disease-related knowledge, diet skills, exercise skills, comprehensive management goals (for blood glucose, weight, blood pressure, and blood lipids), and general education regarding lifestyle modification, delivered verbally or in the form of pamphlets.
|
What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Time Frame |
|---|---|
|
Abnormal 2-hPG (OGTT; ≥11.1 mmol/L).
Time Frame: From enrollment to the end of intervention at 6 months
|
From enrollment to the end of intervention at 6 months
|
Secondary Outcome Measures
Secondary Outcome Measures
Outcome Measure |
Time Frame |
|---|---|
|
HbA1c
Time Frame: From enrollment to the end of intervention at 6 months
|
From enrollment to the end of intervention at 6 months
|
|
Waist circumference
Time Frame: From enrollment to the end of intervention at 6 months
|
From enrollment to the end of intervention at 6 months
|
|
Hip circumferences
Time Frame: From enrollment to the end of intervention at 6 months
|
From enrollment to the end of intervention at 6 months
|
|
BMI
Time Frame: From enrollment to the end of intervention at 6 months
|
From enrollment to the end of intervention at 6 months
|
|
Dietary compliance assessed by the Food Frequency Questionnaire (FFQ)
Time Frame: From enrollment to the end of intervention at 6 months
|
From enrollment to the end of intervention at 6 months
|
|
Physical activity compliance assessed by the International Physical Activity Questionnaire (IPAQ)
Time Frame: From enrollment to the end of intervention at 6 months
|
From enrollment to the end of intervention at 6 months
|
|
Self-efficacy assessed by the General Self-Efficacy Scale (GSES)
Time Frame: From enrollment to the end of intervention at 6 months
|
From enrollment to the end of intervention at 6 months
|
|
Social support assessed by the Social Support Rating Scale (SSRS)
Time Frame: From enrollment to the end of intervention at 6 months
|
From enrollment to the end of intervention at 6 months
|
|
Illness perception assessed by the Brief Illness Perception Questionnaire (BIPQ)
Time Frame: From enrollment to the end of intervention at 6 months
|
From enrollment to the end of intervention at 6 months
|
|
Sense of coherence assessed by the 13-item Sense of Coherence scale (SOC-13)
Time Frame: From enrollment to the end of intervention at 6 months
|
From enrollment to the end of intervention at 6 months
|
Collaborators and Investigators
Sponsor
Sponsor
Study record dates
Study Major Dates
Study Start (Estimated)
Study Start
Primary Completion (Estimated)
Primary Completion
Study Completion (Estimated)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (Actual)
First Posted
Study Record Updates
Last Update Posted (Actual)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Keywords
Additional Relevant MeSH Terms
Other Study ID Numbers
Other Study ID Numbers
- RG2023-262-02
- 72204277 (Other Grant/Funding Number: National Natural Science Foundation of China)
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
IPD Plan Description
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
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