A large-scale diabetes prevention program in real-life settings in Qingdao of China (2006-2012)

Prim Care Diabetes. 2010 Jul;4(2):99-103. doi: 10.1016/j.pcd.2010.04.003. Epub 2010 May 8.

Abstract

Aims: Qingdao Diabetes Prevention Program aims to translate the trial experience to real-life settings with goals to: (1) raise the public awareness of diabetes and diabetes risk factors, and promote healthy diet and physical activity; (2) reduce the number of high-risk people developing diabetes through lifestyle counselling; (3) early diagnosis of diabetes; (4) evaluate the effectiveness, cost-effectiveness, feasibility, acceptability and sustainability of the programs.

Program design: The project's first phase (2006-2009) was focused on health promotion targeting at the entire population of 1.94 million, and training of professionals; and the second phase (2009-2012) on lifestyle counselling targeting at individuals with a diabetes risk score of >or=14. The effectiveness of the intervention and the cost-effectiveness of the program between the intervention arm (n=8000) and the control arm (n=4000) who are randomly selected from the project targeting and not-targeting areas will be evaluated with the diabetes incidence as the primary outcome. Milestone achieved from 2006 to 2009: 3993 health professionals finished training courses; 724,130 educational booklets were distributed to families and 318,284 high-risk individuals recorded and 130,164 underwent at least one follow-up counselling session.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • China / epidemiology
  • Cost-Benefit Analysis
  • Counseling / economics
  • Counseling / organization & administration*
  • Diabetes Mellitus, Type 2 / epidemiology*
  • Diabetes Mellitus, Type 2 / prevention & control*
  • Feasibility Studies
  • Health Promotion / economics
  • Health Promotion / organization & administration*
  • Incidence
  • Life Style
  • Pamphlets
  • Patient Education as Topic / economics
  • Patient Education as Topic / organization & administration*
  • Registries
  • Risk Factors
  • Rural Population / statistics & numerical data
  • Sample Size
  • Urban Population / statistics & numerical data