我国门诊慢特病保障政策的省际差异分析——以四类疾病为例
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1.中国医学科学院北京协和医学院医学信息研究所,北京 100020 ;2.中国财政科学研究院社会发展研究中心,北京 100142

作者简介:

张小娟(1985—),女,山东寿光人,博士,研究员,研究方向为基层卫生和医疗保障,通信作者,zhang.xiao-juan@imicams.ac.cn。

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国家社会科学基金“城乡居民医保患者门诊费用风险及共济保障机制完善研究”(24FGLB090)


Heterogeneity in China's outpatient chronic and special disease benefit schemes: evidence from four disease categories
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Affiliation:

1. Institute of Medical Information, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing 100020 ;2. Social Development Research Center, China Academy of Fiscal Sciences, Beijing 100142 , China

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    摘要:

    文章以消化系统疾病、神经系统疾病、心脏病及罕见病四类疾病为切入点,依托27个省份的政策文件与医保统计数据,运用文献分析与定量研究相结合的方法,剖析上述四类疾病门诊慢特病保障政策的省际差异。结果显示,各省份在病种覆盖范围上存在显著差异,且该差异与各省份普通门诊统筹水平有一定关联;同一病种在不同省份的待遇保障水平差异较大;罕见病的门诊慢特病保障体系仍不完善,保障力度不足。建议如下:一是改革"重住院轻门诊"的医保待遇保障体系,提高普通门诊保障水平,同时推动门诊慢特病保障模式从"病种扩面"向"费用风险分担"转变;二是依托大数据技术合理确定高费用病种并规范保障水平,加强省份间政策协同;三是构建多层次、多元化的罕见病保障机制,切实提高门诊慢特病保障的公平性。

    Abstract:

    This study analyzes the inter-provincial differences in the outpatient chronic and special disease guarantee policies across four major categories of diseases, including digestive system diseases, nervous system diseases, heart diseases, and rare diseases. Drawing on policy documents and medical insurance statistics from 27 provinces, this study combines literature analysis and quantitative research methods to assess the inter-provincial differences. The research results show substantial inter-provincial differences in the scope of disease coverage, which is associated with some extent with general outpatient pooling levels in each province. The level of treatment guarantee for the same disease varies considerably across different provinces. In addition, the outpatient chronic and special disease guarantee system for rare diseases remains inadequate, with insufficient coverage. Three recommendations are proposed to address the above problems. First, the medical insurance treatment coverage system that emphasizes inpatient care over outpatient care should be reformed to improve the general outpatient care coverage system, while promoting the transformation of the chronic and special disease coverage model from expanding disease coverage to sharing cost risks. Second, it is essential to rely on big data technology to reasonably identify diseases with high medical costs, standardize coverage standards, and strengthen inter-provincial policy coordination. Third, this study recommends establishing a multi-level and diversified coverage mechanism for rare diseases to effectively improve the equity of outpatient coverage for chronic and special diseases.

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张小娟,叶媛,彭博,刘阳,朱坤.我国门诊慢特病保障政策的省际差异分析——以四类疾病为例[J].南京医科大学学报(社会科学版),2026,(5):504~511

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  • 收稿日期:2026-03-26
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  • 在线发布日期: 2026-11-02
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