基于PMC指数模型的中国中央和地方社区家庭护理政策的定量评估
1Management School, Minzu University of China, Beijing, China.
Frontiers in public health
|December 5, 2025
概括
这项研究量化评估了中国基于社区的家庭护理政策 (CHCP),发现了国家和地方层面之间的不一致性. 它为改善人口老龄化政策设计和有效性的途径提供了途径.
科学领域:
- 老年学是一门学科.
- 公共卫生政策 公共卫生政策
- 医疗保健服务研究 医疗服务研究
背景情况:
- 全球人口老龄化,增加了对基于社区的家庭护理 (CHC) 的需求.
- 评估CHC政策的设计和一致性的定量研究是有限的,造成了知识差距.
- 现有的研究缺乏对CHC政策有效性和一致性的多维评估.
研究的目的:
- 量化评估中国基于社区的家庭护理政策 (CHCP) 的设计和一致性.
- 通过使用文本挖掘和政策建模一致性 (PMC) 指数来评估政策一致性的新框架.
- 识别中枢交易所实施中的关键约束和差异.
主要方法:
- 开发了一个新的评估框架,结合了文本挖掘和政策建模一致性 (PMC) 指数.
- 分析了2021年至2024年间由中央和地方政府发行的30个中国CHCP.
- 在多个维度的政策一致性和设计的定量评估.
主要成果:
- 确定了多层次治理的核心紧张局势:高纵向一致性与地方政策能力的显著水平差异.
- 政策性质,内容和及时性的缺陷被确定为CHC政策有效性的首要限制.
- 实证证据在CHCP的不一致性被定量证明.
结论:
- 本研究提供了使用PMC指数模型对CHCPs的第一个经验,定量,多维分析.
- 调查结果为决策者提供基于证据的途径,以提高政策的一致性和有效性.
- 该研究弥合了中央规划和地方实施CHC政策之间的差距.
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