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中国地方老年护理政策的优先事项和工具:文本挖掘和比较分析。

Priorities and Instruments of Local Elderly Care Policies in China: Text Mining and Comparative Analysis.

机构信息

School of Public Policy and Management, University of Chinese Academy of Sciences, Beijing, China.

School of Culture and Communication, The University of Melbourne, Melbourne, VIC, Australia.

出版信息

Front Public Health. 2021 Jul 23;9:647670. doi: 10.3389/fpubh.2021.647670. eCollection 2021.

DOI:10.3389/fpubh.2021.647670
PMID:34368041
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8342765/
Abstract

Health care for the elderly is one of the key issues in the field of public health. In the context of global aging, the government's policy framework for elderly care affects the development of local elderly care. The priorities and instruments of the elderly care policy are important windows for understanding the local development planning system. This paper uses a quantitative text analysis method based on text mining to analyze 3,618 provincial policies in China. Considering the pilot demonstration projects for elderly care selected by the Chinese government in recent years, this paper finds that local elderly care policies have a three-phase evolution, and the priorities in each phase are solving the legacy of transition, expanding private sector participation, and realizing the well-being of the elderly. Moreover, mature regions use more environmental policy instruments, and the most effective are financial services, regulatory systems, and strategic guidance. For immature regions, it is necessary to use more core instruments on the premise of using basic instruments so that public policies can serve local development and realize the well-being of the elderly.

摘要

老年人健康护理是公共卫生领域的关键问题之一。在全球老龄化的背景下,政府的老年人护理政策框架影响着当地老年人护理的发展。老年人护理政策的优先事项和手段是了解当地发展规划系统的重要窗口。本文使用基于文本挖掘的定量文本分析方法,分析了中国的 3618 项省级政策。考虑到中国政府近年来选择的老年人护理试点示范项目,本文发现,地方老年人护理政策经历了三个阶段的演变,每个阶段的优先事项是解决转型的遗留问题、扩大私营部门参与和实现老年人的福祉。此外,成熟地区使用更多的环境政策工具,最有效的是金融服务、监管系统和战略指导。对于不成熟地区,有必要在使用基本工具的前提下使用更多的核心工具,以使公共政策能够服务于当地发展并实现老年人的福祉。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b8f9/8342765/f4cfdb14ce10/fpubh-09-647670-g0007.jpg
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