基于PMC指数模型的我国分级诊疗政策量化评价OA
A quantitative evaluation of policies regarding hierarchical medical system in China based on the PMC Index Model
目的 定量评价国家层面的分级诊疗政策,提出促进我国分级诊疗制度进一步发展的建议.方法 对53份国家层面的政策文本进行文本挖掘,利用PMC指数模型构建量化评价指标体系对政策文本进行量化评价.结果 在53份政策中,16份政策为优秀等级,36份政策为可接受等级,1份政策为不良等级.在政策内容、政策性质、政策评价等方面,各维度的得分比较高.结论 我国现有的分级诊疗政策有一定程度的改进空间,建议多部门、多方位制定政策工具,切实提高基层医疗服务水平,通过医保支付方式改革形成激励约束机制.
Objective To evaluate hierarchical diagnosis and treatment policies quantificationally and to provide reference for further development of the hierarchical medical system in China.Methods Text mining was carried out on 53 policy documents,and PMC index model was used to establish and quantify an evaluation index system for assessing the documents.Results Among the 53 policies,16 were excellent,36 were acceptable,and 1 was poor.In the aspects of policy content,policy nature,and policy evaluation,the scores for each dimension were relatively high.Conclusions There is room for improvement in China's current hierarchical diagnosis and treatment policies.It is suggested to formulate policy tools in a multi-sectoral and multi-dimensional manner to im-prove the primary healthcare services effectively,and to form an incentive and restraint mechanism by reforming medical insurance payment modes.
王钒旭;蔡婷婷;俞宏斌;沈建通
湖州师范学院医学院,浙江湖州 313000湖州师范学院附属第一医院,浙江湖州 313000
预防医学
分级诊疗量化评价PMC指数模型政策评价卫生政策政策文本分析
Hierarchical diagnosis and treatmentQuantitative evaluationPMC index modelPolicy e-valuationHealth policyPolicy text analysis
《中国农村卫生事业管理》 2024 (005)
340-346,359 / 8
国家社会科学基金项目(20BTQ042)
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