ORIGINAL RESEARCH article
Front. Public Health
Sec. Public Health Policy
Quantitative evaluation of the central and local community-based home care policy in China based on the PMC-Index model
Provisionally accepted
- Minzu University of China, Beijing, China
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Background The community-based home care model is a vital strategy and pivotal response against global population aging. However, multidimensional empirical studies that quantitatively evaluate the design and consistency of community-based home care policies are scarce and has left a critical gap in understanding and optimizing CHC policies. Methods This research introduces a novel evaluative framework combining text mining and the Policy Modeling Consistency (PMC-Index) model to quantitatively assess the consistency and design of 30 Chinese CHCPs issued by central and local government from 2021 to 2024. Results The study yields two key original findings. First, it empirically identifies a core tension in multi-level governance: high longitudinal consistency coexists with significant horizontal disparities in local policy capabilities. Second, it pinpoints deficiencies in policy nature, content and timeliness as primary constraints. Conclusion The study's primary theoretical contribution is to presents the first empirical and quantitative analysis of CHCPs from multidimensional level by using the PMC-Index model. The primary practical contribution is that through a multidimensional consistency evaluation, the study offers specific, evidence-based optimized pathways for policymakers to enhance policy coherence as well as effectiveness and to bridge the gap between central planning and local implementation.
Keywords: Traditional Chinese, Population aging development, Community-based home care policy, Quantitative evaluation of Policy, Policy consistency
Received: 27 Aug 2025; Accepted: 23 Oct 2025.
Copyright: © 2025 Liang and Rong. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Shuhan Liang, 22400055@muc.edu.cn
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