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Effectiveness of a Virtual Health Management Community (VHMC) for Pre-diabetes in China

Sun Yat-sen University logo

Sun Yat-sen University

Status

Not yet enrolling

Conditions

Prediabetes

Treatments

Behavioral: VHMC-based Group Interaction Management
Other: Usual Care

Study type

Interventional

Funder types

Other

Identifiers

NCT07338552
72204277 (Other Grant/Funding Number)
RG2023-262-02

Details and patient eligibility

About

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.

Full 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.

Enrollment

146 estimated patients

Sex

All

Ages

18 to 80 years old

Volunteers

No Healthy Volunteers

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.

Trial design

Primary purpose

Prevention

Allocation

Randomized

Interventional model

Parallel Assignment

Masking

Single Blind

146 participants in 2 patient groups

Control group
Active Comparator group
Treatment:
Other: Usual Care
Intervention Group
Experimental group
Treatment:
Behavioral: VHMC-based Group Interaction Management

Trial contacts and locations

0

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Central trial contact

Xiling Hu

Data sourced from clinicaltrials.gov

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