Research on Evaluation and Optimization of Long-Term Care Insurance Pilot Policies: Based on Multidimensional Quantitative Analysis of Policy Texts and Satisfaction Survey of Disabled OlderAdults

Authors

  • Yu Wang
  • Chenyang shao

DOI:

https://doi.org/10.64051/jhn.v1i2.46

Keywords:

Ageing, Long Term Care Insurance, Policy Evaluation, Satisfaction

Abstract

Exploring the establishment of a Long-Term Care Insurance (LTCI) system represents a crucial strategy for addressing population aging and enhancing the social security framework. Using Shandong Province as a case study, this paper measures and evaluates its LTCI pilot policies. First, we analyze policy texts issued by all 16 pilot cities in Shandong. Selecting 10 key variables (including coverage scope, benefit range, fund financing, and benefit payment), we construct a policy evaluation index system. Then the AHP-EWM coupling algorithm is employed to calculate hierarchical index weights and derive comprehensive policy effectiveness scores for each city. Results indicate that within the index system, benefit payment levels, claims processing/reimbursement management, and service management exert the most significant influence on policy effectiveness. The average policy effectiveness score across pilot cities is 73.97 (out of 100), revealing substantial inter-city disparities. Subsequently, based on a satisfaction survey of disabled older adults, we found an overall high satisfaction level with LTCI (80.26 out of 100). However, areas identified for improvement include the assessment process, benefit evaluation criteria, and service duration. Empirical analysis using a Multi-Indicator Multi-Cause (MIMIC) structural equation model demonstrates that beneficiaries' overall satisfaction is influenced by individual characteristics, LTCI participation and benefits received, geographic location, and other factors. Specifically, higher satisfaction with the LTCI system is associated with being male, younger age, lower education levels, and greater economic independence. These findings provide evidence-based recommendations for improving and optimizing the nationwide implementation of the LTCIsystem.

 

 

References

[1] Dai W.D., Yu Y. The fragragmentation and integrating path of the pilot policies of China's long-term care insurance system[J]. Journal of Jiangxi University of Finance and Economics, 2021, (02): 55-65.

[2] Du P., Li L. long-term trends projection of China's population aging in the new era[J]. Journal of Renmin University of China, 2021, 35(01): 96-109.

[3] Feng J., Wang Z., Yu Y.Y., Wang Z. does long-term care insurance reduce hospital utilization and medical expenditures? Evidence from China[J]. Social Science & Medicine, 2020, 258: 113081.

[4] Fu S.J., Zhang L.W., Que S., Fang Y. study on handling management mode and risk prevention and control of long-term care insurance[J]. Health Economics Research, 2022, 39(01): 23-26.

[5] Guan B., Zhu X.Y. China’s long-term care insurance system: pilot evaluation and comprehensive expanding[J]. Macroeconomics, 2019, (10): 103-111+156.

[6] Hai L., Yin H.Y., Zhang X.N. Evaluation and optimization of China's long-term nursing insurance policy[J]. Macroeconomics, 2018, (12): 114-122.

[7] Kim H. Kim S. A decade of public long-term care insurance in South Korea: Policy lessons for aging countries[J]. Health Policy, 2020, 125(1): [Pages Missing].

[8] Li C.Y., Qian Y.X. Optimization of financing and benefits payment policies for China's long-term care insurance system — Comparative Analysis based on 15 Pilot Cities Nationwide[J]. Southwest Finance, 2023, (08): 97-108.

[9] Li M.D., Fan X.R., Li J.S. The impact of long-term care insurance on healthcare utilization and expenditures among middle-aged and older Chinese adults: a quasi-experiment study[J].InternationalJournal for Equity in Health, 2024, 23(1): 211.

[10] Lu M.H., Lü M.Y., Wang X.M. The coverage and nursing time of long-term care insurance[J]. Population and Development, 2020, 26(03): 38-50.

[11] Ma C., Yu Q.W., Song Z., Chen H. Long-term care insurance, the control of medical expenses and “value-based health care” [J]. China Industrial Economics, 2019, (12): 42-59.

[12] Peng R., Huang J.H., Deng X.Q., Wang Yingying. Spatial differentiation and driving factors of the high-quality development of undertakingsfor the aged of China[J]. InternationalJournal for Equity in Health, 2023, 22(1): 104.

[13] Wang Q., Tang W., Cao H.Y. Comparative study on the long-term nursing insurance pilot service projectsin China[J]. Health Economics Research, 2018, (11): 38-42.

[14] Yang J.H., Du S.H. Analysis on the current status, challenges and countermeasures of fund-raising of long-term care insurance system[J]. Chinese Journal of Health Policy, 2018, 11(08): 8-14.

[15] Yang J.H., Wang S.S., Du S.H. Regional comparison and implications of China's long-term care insurance system[J]. Chinese Journal of Health Policy, 2018, 11(04): 1-7.

[16] Yao H. Comparison and reflection of the pilot schemes of long-term care insurance system in China under aging crisis[J]. Social Security Studies, 2020, (01): 48-56.[17] Yu X.L., Liu H.M., Yang W.S. Long-term care insurance’s impacts on medical expenditure——based on synthetic control research on qingdao case[J]. Insurance Studies, 2019, (02): 114-127.

[18] Zhang N., Wang J., Li K.Q. The theory and practice of finance and economics[J]. The Theory and Practice of Finance and Economics, 2020, 41(05): 28-35.

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Published

2025-08-16

How to Cite

[1]
Wang, Y. and shao, C. 2025. Research on Evaluation and Optimization of Long-Term Care Insurance Pilot Policies: Based on Multidimensional Quantitative Analysis of Policy Texts and Satisfaction Survey of Disabled OlderAdults. Journal of Humanities and Nature. 1, 2 (Aug. 2025). DOI:https://doi.org/10.64051/jhn.v1i2.46.

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