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Quantitative Evaluation of Policies for combining Medical and Nursing Care based on the LDA–PMC Model: A Comparative Analysis of Typical Chinese Provinces

Author

Listed:
  • Lan Xu

    (Jiangsu University of Science and Technology)

  • Minglu Xi

    (Jiangsu University of Science and Technology)

Abstract

Improving and optimizing the policy system of combined medical and nursing care (CMNC) is an important driving force in the development of China’s pension industry. Using a latent Dirichlet allocation–policy modeling consistency model, this study analyzes 25 key policies related to CMNC to develop a policy evaluation index system and evaluates the CMNC policies of four provinces in China: Shandong, Sichuan, Jiangsu, and Hubei. It highlights issues facing China’s CMNC policy, including the poor use of policy tools, insufficient publicity, lack of insurance protection for employees, and lack of local policies’ pertinence. Finally, a policy optimization path is proposed.

Suggested Citation

  • Lan Xu & Minglu Xi, 2024. "Quantitative Evaluation of Policies for combining Medical and Nursing Care based on the LDA–PMC Model: A Comparative Analysis of Typical Chinese Provinces," Public Organization Review, Springer, vol. 24(2), pages 693-713, June.
    • Handle: RePEc:kap:porgrv:v:24:y:2024:i:2:d:10.1007_s11115-022-00675-0
    DOI: 10.1007/s11115-022-00675-0
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    References listed on IDEAS

    as
    1. Xin Yue & Kaining Mu & Lihang Liu, 2020. "Selection of Policy Instruments on Integrated Care in China: Based on Documents Content Analysis," IJERPH, MDPI, vol. 17(7), pages 1-17, March.
    2. Cheng, Long & Brown, Gregory & Liu, Yan & Searle, Glen, 2020. "An evaluation of contemporary China’s land use policy – The Link Policy: A case study from Ezhou, Hubei Province," Land Use Policy, Elsevier, vol. 91(C).
    3. Hong, Ming & Wang, Heyong, 2021. "Research on customer opinion summarization using topic mining and deep neural network," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 185(C), pages 88-114.
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