Volume 21 Issue 8
Aug.  2023
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TAN Shuoyuan, CAI Ruian, PENG Derong, SHI Jianwei. Status quo and analysis of economic evaluation of integrated sports and medicine[J]. Chinese Journal of General Practice, 2023, 21(8): 1267-1270. doi: 10.16766/j.cnki.issn.1674-4152.003099
Citation: TAN Shuoyuan, CAI Ruian, PENG Derong, SHI Jianwei. Status quo and analysis of economic evaluation of integrated sports and medicine[J]. Chinese Journal of General Practice, 2023, 21(8): 1267-1270. doi: 10.16766/j.cnki.issn.1674-4152.003099

Status quo and analysis of economic evaluation of integrated sports and medicine

doi: 10.16766/j.cnki.issn.1674-4152.003099
Funds:

 22692107200

 201940052

  • Received Date: 2022-08-06
    Available Online: 2023-09-13
  • The initiatives that promote and shape the disease management and healthcare service models that combine sports and medicine have been put forward in the Plan of Health China 2030. Health organizations across the country have been paying increasing attention to the combination of sports and medicine, with the encouragement of national policy. However, due to the lack of economic evaluations, there is still short of supporting evidence and practical application in this area. This paper reviews the economic evaluation cases of integrated sports and medicine programs in foreign countries. We find that the programs are mainly focus on some traditional sports, such as aerobic exercise, resistance exercise and Tai Chi. Cost-effectiveness analysis is now the primary method, with quality-adjusted life years and disease-specific clinical outcomes as health output indicators. The bottlenecks in the current studies include the diverse definitions of cost accounting and health output indicators, the lack of uniformity in the length of intervention and evaluation periods, the unscientific assessment of exercise intensity and the limited use of quality-adjusted life years in this method. We suggested collecting pluralistic data in the real world and strengthening the application of the economic evaluation models based on the big data.

     

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