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基于政策建模一致性 (PMC) 指数模型的中国新医疗保险支付政策的定量评估
Chengxin Fan1,2, Xiaochun Li1,2, Jiahui Liu2,3
1School of Public Health, Shandong Second Medical University, Weifang, 261053, Shandong, China.
BMC health services research
|October 1, 2025
概括
中国中国中国中国.
科学领域:
- 卫生经济学 卫生经济学
- 卫生政策分析 卫生政策分析
- 公共卫生管理公共卫生管理.
背景情况:
- 中国的医疗改革优先考虑了有效的医疗保险支付机制.
- 为了完善医疗保险支付系统,已经发布了许多政策文件.
- 现有的研究主要使用经济分析,忽视了系统的政策文本评估.
研究的目的:
- 量化评估中国新医疗保险支付政策的内部设计和一致性.
- 利用文本挖掘和政策建模一致性指数 (PMC) 开发一种新的政策评估框架.
- 解决医疗保险支付改革的政策文本系统评估方面的差距.
主要方法:
- 利用文本挖掘技术进行政策分析.
- 开发并应用了政策建模一致性 (PMC) 指数模型.
- 构建了一个政策评估框架,其中包含9个主要变量和39个次要变量,用于定量评估.
主要成果:
- 中国的新医疗保险支付政策展现了专注和精细的主题.
- 政策建模一致性指数 (PMC) 揭示了一般合理的整体政策设计.
- 在9项评估的政策中,1项被评为优秀,4项良好,4项可接受.
结论:
- 医疗保险支付政策的整体评估是积极的,表明需要跨政策优化.
- 建议包括加强最高层设计,提高政策有效性,及时性和工具利用.
- 促进本地化,标准化改革对于高质量的医疗保健发展至关重要.
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