POLICY AND PRACTICE REVIEWS article
Front. Public Health
Sec. Public Health Policy
Volume 13 - 2025 | doi: 10.3389/fpubh.2025.1636044
Construction and Quantitative Evaluation of China's Smart Elderly Care Policy: A PMC-Index Model Approach
Provisionally accepted
Yuxin Chen
Yangsen Huang*- Xuzhou Medical University, Xuzhou, China
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Smart Elderly Care System(SECS) policies are of great significance for optimizing the allocation of elderly care resources, promoting the innovation and development of SECS, and effectively responding to population aging. Evaluation of SECS policy texts can provide theoretical support and decision-making basis for the scientific formulation, effective implementation, adjustment and optimization of SECS policies. The study analyzes 10 representative policy texts from 72 policies during 2019-2024, and the strengths and weaknesses of each policy and the optimization and adjustment paths are analyzed by calculating the PMC index and drawing PMC surface and radar diagrams. The results show that 3 of the 10 representative policies are assessed as "reasonable and complete", 6 are rated as "focused", and 1 is rated as "weak in applicability". The mean value of PMC index is 7.38. The study shows that the overall design of SECS policies is scientific, reasonable and of good quality, but there is still room for improvement in many aspects. The performance is as follows: single policy timeliness, short-term policies are more common; diversity of policy aims needs to be enriched; policy content coverage is not comprehensive. Subsequent policies should be improved by focusing on policy timeliness, policy aims and policy content.
Keywords: Smart Elderly Care System(SECS), PMC index model, Policy quantification, Policy evaluation, China context
Received: 30 May 2025; Accepted: 26 Aug 2025.
Copyright: © 2025 Chen and Huang. 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: Yangsen Huang, Xuzhou Medical University, Xuzhou, China
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