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Long-Term Care Insurance Pilot Programme in China: Policy Evaluation and Optimization Options—Taking the Pilot Programme in the Northeast of China as an Example

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  • Ye Han

    (Department of Labor and Social Security, Jilin University, Changchun 130012, China)

  • Tong Shen

    (Department of Labor and Social Security, Jilin University, Changchun 130012, China)

Abstract

China’s population is ageing rapidly and the increase in life expectancy is accompanied by a loss of capability with advancing age, especially in the Northeast. This study adopts qualitative research methods to analyze the overall status and problems of China’s LTCI policy pilots. Taking four LTCI pilot cities in three northeastern provinces as samples, we used purposive sampling to recruit 10 beneficiaries and providers of LTCI in nursing homes of different kinds, as well as 2 operators (Medical Insurance Bureau staff) for semi-structured in-depth interviews. We developed a social welfare policy analysis framework based on Gilbert’s framework, designed interview outlines and conducted a thematic analysis of the interview data along five dimensions: allocation base, type of provision, delivery strategy, finance mode, and external environment. The results of the research indicate that the coverage of the system is narrow and that disability assessment criteria are fragmented; that the substance of service provision is lacking, both in terms of precision and dynamic adjustment mechanisms; that socialized care synergy cannot be achieved, informal care lacking policy support; that there is an over-reliance on medical insurance funds and that unfair financing standards are applied; and that economic and social development is insufficient to cope with ageing needs and uncertain risks. Accordingly, this research proposes several optimization options to promote the full establishment of LTCI.

Suggested Citation

  • Ye Han & Tong Shen, 2022. "Long-Term Care Insurance Pilot Programme in China: Policy Evaluation and Optimization Options—Taking the Pilot Programme in the Northeast of China as an Example," IJERPH, MDPI, vol. 19(7), pages 1-18, April.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:7:p:4298-:d:786527
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    References listed on IDEAS

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    1. Mojtaba Vaismoradi & Hannele Turunen & Terese Bondas, 2013. "Content analysis and thematic analysis: Implications for conducting a qualitative descriptive study," Nursing & Health Sciences, John Wiley & Sons, vol. 15(3), pages 398-405, September.
    2. Jean-Marc Bascans & Christophe Courbage & Cornel Oros, 2017. "Means-tested public support and the interaction between long-term care insurance and informal care," International Journal of Health Economics and Management, Springer, vol. 17(2), pages 113-133, June.
    3. Martin Eling & Omid Ghavibazoo, 2019. "Research on long-term care insurance: status quo and directions for future research," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 44(2), pages 303-356, April.
    4. Rhee, Jong Chul & Done, Nicolae & Anderson, Gerard F., 2015. "Considering long-term care insurance for middle-income countries: comparing South Korea with Japan and Germany," Health Policy, Elsevier, vol. 119(10), pages 1319-1329.
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    Cited by:

    1. Guangbo Ma & Kun Xu, 2022. "Value-Based Health Care: Long-Term Care Insurance for Out-of-Pocket Medical Expenses and Self-Rated Health," IJERPH, MDPI, vol. 20(1), pages 1-20, December.

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