基于PMC指数模型的我国异地就医直接结算 政策文本量化评价研究
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1.湖南农业大学;2.湖南中医药大学

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中国科学院重点资助项目,创新研究群体科学基金


Research on Quantitative Evaluation of Immediate Settlement Policy Text for Out-of-town Medical Treatment in China
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    摘要:

    异地就医直接结算需要有效的政策体系支持,政策文本量化评价可以为相应政策的制定与完善提供依据,但目前相关研究尚不多见。本文以10项国家级的异地就医直接结算政策为研究对象,构建PMC指数模型进行量化评价。研究发现,10项政策的PMC指数均值为6.88,6项政策等级为优秀,4项为良好,表明国家级异地就医直接结算政策的质量总体较好。但部分政策在政策时效性、政策对象、政策内容、政策工具等方面存在一定的优化提升空间。据此提出建议:统筹政策目标,提高政策时效性;融合政策工具,协调政策工具使用平衡性;扩大政策受益范围,建立多元合作协同机制;丰富政策内容,加深政策辐射范围;强化政府主导,提高多部门联动性。

    Abstract:

    Immediate settlement for out-of-town medical treatment needs the support of effective policy system, and the quantitative evaluation of policy can provide a basis for the formulation and improvement of the corresponding policies, but few relevant studies have been conducted in this area.This paper takes nine polocies of immediate settlement for out-of-town medical treatment issued at the national level in China as research objects,and constructs a PMC index model.The results show that the average value of PMC index of 10 special policies is 6.88,among which six policies are rated as excellent level and four policies as good level, indicating that the quality of polocies of immediate settlement for out-of-town medical treatment at the national level in China is generally good.However, there is some room for optimization and improvement of some policies in terms of policy timeliness, policy targets, policy content and policy tools. Accordingly, it is proposed to: harmonize policy objectives and improve the timeliness of policies; integrate policy tools and coordinate the balanced use of policy tools; expand the scope of policy beneficiaries and establish a synergistic mechanism for multifaceted cooperation; enrich the content of policies and deepen the scope of policy radiation; and strengthen the Government''s leading role and improve the multisectoral linkage.

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  • 收稿日期:2025-12-01
  • 最后修改日期:2025-12-01
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