我国中医药健康养老政策文本量化研究——基于PMC指数模型

Quantitative Research on Traditional Chinese Medicine Healthy Elderly Care Policy Texts—Based on PMC Index Model

  • 摘要: 随着我国人口老龄化程度日益深化,积极推进中医药健康养老领域发展已被纳入国家政策安排。在此背景下,基于我国发布的中医药健康养老相关政策文件,采用文本挖掘等方法,建立中医药健康养老政策PMC指数评价模型,对政策现状及优化方向进行系统分析。结果表明,选取的中医药健康养老领域典型政策平均得分为7.79分,整体处于良好水平,但在政策效力、政策受体、政策工具、激励约束和政策领域等方面仍有改进空间。为此,建议加强中长期政策安排,夯实社区层面的政策支持,增强环境型政策工具的应用,引入金融促进政策,优化政策领域范围,以进一步提升中医药健康养老服务质量,满足老年人日益增长的多元化健康养老需求。

     

    Abstract: The degree of population aging in China is escalating, and the proactive advancement of traditional Chinese medicine (TCM) tailored for the elderly has been incorporated into the national policy framework. Against this backdrop, leveraging Chinese medicine healthcare policy documents issued, this study employs text mining and other analytical techniques to construct a PMC index evaluation model for TCM healthcare policies. It systematically evaluates the current state and potential areas for enhancement of these policies. The results indicate that the average score of the typical policies selected in the field of traditional Chinese medicine for healthy aging is 7.79, and the overall situation is at a good level. However, there remains scope for enhancement in terms of temporal scope of policies, policy recipients, and policy coverage domains. In light of these findings, this paper offers recommendations including optimizing the responsiveness of policies, emphasizing community-level policy initiatives, and introducing fiscal incentives, aiming to further elevate the quality of TCM healthcare services and cater to the increasingly diverse healthcare needs of the elderly population.

     

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