• 1. School of International Relations and Public Affairs, Fudan University, Shanghai 200433, P. R. China;
  • 2. School of Economics and Management, Fuzhou University, Fuzhou 350002, P. R. China;
XIE Xinying, Email: xinyingxie23@m.fudan.edu.cn
Export PDF Favorites Scan Get Citation

Objective In the context of Healthy China construction, physical-medical integration, as an important way to optimize the allocation of health resources, plays a key role in solving the series of health problems in the process of China’s development and promoting the improvement of the health level of the whole people. This paper aims to carry out a systematic evaluation on physical-medical integration policies in China. Methods This paper took 18 physical-medical integration policies issued at the national level from 2016 to 2022 as the research object, used the text mining method to process policy texts, constructed PMC index model, made quantitative evaluation of related policies, and put forward corresponding policy suggestions based on the results. Results The results showed that the physical-medical integration policies in China was relatively perfect in the aspects of policy openness, policy function and policy evaluation, but it still needed to be optimized from the aspects of policy prescription, policy nature, participating subject, policy perspective and policy tools. Conclusion In the future policy making, it is necessary to improve the policy design, build the mechanism of multi-subject collaborative governance, and adjust the application structure of policy tools, so as to further improve the policy system of physical-medical integration in China and help realize the strategic goal of Healthy China.

Citation: XIE Xinying, LI Huixin. Research on quantitative evaluation of physical-medical integration policy based on PMC index model. Chinese Journal of Evidence-Based Medicine, 2024, 24(1): 69-75. doi: 10.7507/1672-2531.202305096 Copy

  • Previous Article

    Clinical applicability of guidelines evaluation index system: a systematic review
  • Next Article

    A study on multi-class classification of medical questionnaire item texts based on prompt learning