Chinese Journal of Rehabilitation Theory and Practice ›› 2024, Vol. 30 ›› Issue (8): 939-947.doi: 10.3969/j.issn.1006-9771.2024.08.009

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Quantitative evaluation of long-term care policies for older people in the 14th Five-Year Plan in China: based on Policy Modeling Consistency index model

ZHOU Lifang1a,2,3, LANG Zihan1b,2,3, WU Yixuan1b,2,3, XU Na1b,2,3, XU Lingfeng1b,2,3, CHEN Zhongming1b,2,3, YIN Wenqiang1b,2,3, YU Qianqian1b,2,3()   

  1. 1. a. School of Public Health; b. School of Management, 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
  • Received:2024-04-29 Revised:2024-07-15 Published:2024-08-25 Online:2024-09-11
  • Supported by:
    Ministry of Education of China Humanities and Social Sciences Planning(22YJAZH138);Shandong Natural Science Foundation(ZR2023MG036);National Natural Science Foundation of China(72274140);Shandong Provincial Talent Project(tsqn202312250)

Abstract:

Objective To quantitatively evaluate the structure and content of the long-term care policy for the older people in the 14th Five-Year Plan in China.

Methods The primary indicators were constructed based on multi-source flow model, using Policy Modeling Consistency (PMC) model, and the secondary indicators were constructed based on World Health Organization reports Long-term care for older people: Package for universal health coverage and Decade of healthy ageing: Plan of action. An evaluation system was formed, containing nine primary indicators and 35 secondary indicators. A total of eight policies issued by the nation between November, 2021 and January, 2024 were included. High-frequency words were extracted using ROSTCM 6.0, a semantic network map of keywords was created using Gephi, and the policies were analyzed using the evaluation system.

Results The policies mainly focused on nursing, community, rehabilitation and nursing home, etc. The average PMC index was 6.77. For the policy content coverage, one policy was perfect, five were excellent and two were acceptable. In the dimension of policy content, the indexes of three primary indicators of policy function, policy receptors and infrastructure construction were 0.85 or more; while the indexes of three primary indicators of caregiver assistance, support for the elderly and human resources building were 0.7 or less.

Conclusions The content of long-term care policies for the older people issued in the 14th Five-Year Plan in China covers well in policy functions, policy recipients and infrastructure, and needs to be upgraded in the three dimensions of caregiver assistance, support for the elderly and human resource building. It is important to strengthen the policy content and measures in three areas, namely, the comprehensive care support network, the creation of an age-friendly environment and support for informal care.

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

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