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ORIGINAL RESEARCH article

Front. Public Health
Sec. Aging and Public Health
Volume 12 - 2024 | doi: 10.3389/fpubh.2024.1445273
This article is part of the Research Topic Analyses on Health Status and Care Needs among Older Adults View all 17 articles

Preference of urban and rural older people in Shandong province for long-term care insurance: based on discrete choice experiment

Provisionally accepted
  • Qingdao University, Qingdao, China

The final, formatted version of the article will be published soon.

    Severe population ageing and weak long-term care support systems has spurred China's pilot program for long-term care insurance(LTCI).This study aimed to provide references for optimizing long-term care insurance policies in Shandong province by measuring the preferences of urban and rural older people for LTCI.Based on the discrete choice experiment, a questionnaire survey was conducted on urban and rural older people from Shandong Province.A mixed logit model was used for data analysis and the relative importance of attributes,willingness to pay, and preference heterogeneity based on residence type, number of child,chronic conditions,gender,education level and financial situation were further estimated.The results showed that individual premium,reimbursement rate and whose provision of home-based care can be reimbursed had a significant effect on the LTCI preference of urban and rural older people in Shandong Province.Benefit package and government subsidy lost statistical significance in full sample but played a role in certain subgroups.There were also differences in preferences for individual premium among different groups of older people.We concluded that optimizing the policy design of long-term care insurance based on the actual needs of the elderly can help increase the utility of them and promote the smooth implementation of long-term care insurance.

    Keywords: long-term care insurance, older people, preference, Discrete choice experiment, China

    Received: 07 Jun 2024; Accepted: 01 Oct 2024.

    Copyright: © 2024 Jin, Wang and Hu. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence: Xiaoqian Hu, Qingdao University, Qingdao, China

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