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Can a community-based peer-led diabetic self-management programme be effective: 12-week evaluation.

Huixia Shen1, Yanbo Wang1, Helen Edwards2

  • 1School of Medicine, Tongji University, Shanghai, China.

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A community-based diabetes self-management program in China, utilizing peer leaders, improved social support, self-efficacy, and behaviors. This approach shows promise for chronic disease management in resource-limited settings.

Keywords:
communitydiabetespeerself-management

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Area of Science:

  • Public Health
  • Chronic Disease Management
  • Health Behavior Interventions

Background:

  • China faces a significant diabetes epidemic, necessitating effective and feasible self-management programs.
  • Health resource limitations in China require innovative approaches to diabetes care.
  • Developing and evaluating accessible self-management strategies is crucial for the growing diabetic population.

Purpose of the Study:

  • To assess a community-based diabetes self-management program in China.
  • To evaluate the impact of peer leaders and community collaboration on diabetes care.
  • To measure changes in self-efficacy, social support, self-management behaviors, and quality of life.

Main Methods:

  • A quasi-experimental design was employed.
  • The study involved 181 patients with diabetes, divided into experimental and control groups.
  • Interventions included diabetic instruction and peer-led group activities, with data analyzed using ANOVA/ANCOVA and content analysis.

Main Results:

  • Significant improvements were observed in social support, self-efficacy, and self-management behaviors.
  • Quality of life did not show a statistically significant change.
  • Participants reported positive perceptions and feedback regarding the program.

Conclusions:

  • The program demonstrated partial effectiveness, particularly in enhancing key self-management components.
  • The delivery model, involving trained peer leaders and community engagement, proved feasible.
  • Further rigorous evaluation using a cluster randomized controlled design with cost-effectiveness analysis is recommended.