Chinese Journal of Rehabilitation Theory and Practice ›› 2025, Vol. 31 ›› Issue (3): 314-323.doi: 10.3969/j.issn.1006-9771.2025.03.008

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Quantitative evaluation of long-term care insurance policy in China's deeply aging areas: based on PMC index model

LIU Jiahui1a,2,3, YANG Mengjiao1a,2,3, WANG Yifan1a,2,3, WANG Ruixuan1b,2,3, SONG Jing1b,2,3, LI Xiaochun1b,2,3, YANG Chunxiao1b,2,3, FENG Zhiqiang4, XIE Yuwei4, SANG Xin'gang5(), YIN Wenqiang1a,2,3()   

  1. 1. a. School of Management; b. School of Public Health, Shandong Second Medical University, Weifang, Shandong 261053, China
    2. "Health Shandong" Severe Social Risk Prevention and Management Synergy Innovation Center, Weifang, Shandong 261053, China
    3. Collaborative Innovation Center of Social Risks Governance in Health, Shanghai 200032, China
    4. Health Development Research Center, National Health Commission, Beijing 100044, China
    5. Weifang Municipal Health Commission, Weifang, Shandong 261061, China
  • Received:2024-11-28 Revised:2025-01-31 Published:2025-03-25 Online:2025-03-25
  • Contact: SANG Xin'gang, E-mail: sangxingang@163.com; YIN Wenqiang, E-mail: yinwq1969@126.com
  • Supported by:
    Ministry of Education of China Humanities and Social Sciences Planning(22YJAZH137);Shandong Provincial Key Research and Development Project(2022RKY07002);Weifang Public Hospital Reform and High-quality Development Demonstration Project(SDGP370700000202402000604A 001)

Abstract:

Objective To quantitatively evaluate the structure and content of the long-term care insurance (LTCI) policy in China's deeply aging areas.

Methods Using the Policy Modeling Consistency (PMC) index model indicator design method, a LTCI policy evaluation index system was constructed, consisting of nine primary indicators and 34 secondary indicators. A total of 123 provincial-level LTCI policies issued in deeply aging regions of China between June 1, 2014, and October 1, 2024 were analyzed. High-frequency word extraction was performed using ROSTCM 6.0, and a social network diagram of LTCI policies was created. The policy structure and content were quantitatively evaluated and analyzed based on the established policy evaluation index system.

Results The main content of LTCI policies in deeply aging areas of China covered services, institutions and assessment. The highest policy score was 7.28, and the lowest was 2.20, with an average score of 5.00. There were 25 perfect policies, 63 excellent policies, 28 good policies and seven qualified policies. In the dimension of policy content, the indexes of five primary indicators of policy evaluation, policy target groups, policy nature, policy perspective and policy tools were 0.60 or more; while the indexes of four primary indicators of policy content, incentives and constraints, policy timeliness, and policy level were 0.50 or less.

Conclusion LTCI policies issued in China's deeply aging areas provide comprehensive coverage in aspects such as policy evaluation, policy target groups and policy nature, and need to be improved in policy tool selection and the construction of incentive and constraint mechanisms.

Key words: aging, long-term care insurance, policy evaluation, Policy Modeling Consistency index model

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