基于PMC指数模型的我国医疗机构新冠疫情防控政策量化评价

Quantitative Evaluation of COVID-19 Prevention and Control Policies in Medical Institutions in China based on PMC Index Model

目的对医疗机构疫情防控政策进行量化评价,为我国疫情防控政策的制定和优化提供建议,完善我国疫情防控政策体系。方法采用ROST CM 6.0进行文本挖掘,构建PMC指数模型,包括9个一级变量和32个二级变量,对我国2020年1月-2022年12月的6项国家层面医疗机构疫情防控相关政策进行政策文本量化评价。结果6项医疗机构疫情防控政策PMC指数平均值为7.14,其中有2项政策为优秀政策,4项政策为良好政策,政策整体制定水平较高;但在政策性质、政策工具及政策受众方面有所不足。结论我国医疗机构疫情防控政策基本完善,但新阶段新常态有新要求,在政策性质、工具、受众方面亟须进一步优化,可从加强对现有疫情防控成果的阶段性总结,提升需求型政策工具的使用频率以及注重医疗机构与政府、非盈利组织、企业的联动协作等方面入手。

Objective To quantitatively evaluate the epidemic prevention and control policies of medical institutions,and provide suggestions for the formulation and optimization of epidemic prevention and control policies in China,and improve the epidemic prevention and control policy system in China.Methods ROST CM 6.0 was used for text mining,and a PMC index model was constructed,including 9 primary variables and 32 secondary variables.Quantitative evaluation of policy texts was used to assess six national policies on epidemic prevention and control in medical institutions from January 2020 to December 2022.Results The average PMC index of 6 medical institutions'epidemic prevention and control policies was 7.14,of which 2 policies were excellent policies,4 policies were good policies.The overall policy formulation level was relatively high.However,there were some deficiencies in po-licy nature,tools,and audiences.Conclusion The epidemic prevention and control policies of medical institutions in China are basically perfect,but there are new requirements in the new stage of the new normal,and further optimization is urgently needed in terms of policy nature,tools,and audiences.It is suggested to strengthen the phased summary of the current epidemic prevention and control results,increase the frequency of use of demand-based policy tools,and focus on the linkage and cooperation between medical institutions and the government,non-profit organizations,and enterprises.