School of Politics and Public Administration, Qingdao University, Qingdao, China.
Front Public Health. 2024 Oct 15;12:1445273. doi: 10.3389/fpubh.2024.1445273. eCollection 2024.
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 children, 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.
Optimizing the policy design of long-term care insurance based on the actual needs of the older adults can help increase the utility of them and promote the smooth implementation of long-term care insurance.
人口老龄化严重,长期护理支持系统薄弱,促使中国启动了长期护理保险(LTCI)试点计划。本研究旨在通过衡量城乡老年人对 LTCI 的偏好,为优化山东省长期护理保险政策提供参考。
本研究基于离散选择实验,对山东省城乡老年人进行了问卷调查。采用混合 logit 模型进行数据分析,并进一步估计了基于居住类型、子女数量、慢性病、性别、教育水平和经济状况的属性相对重要性、意愿支付和偏好异质性。
结果表明,个人保费、报销率和谁提供的家庭护理可以报销对山东省城乡老年人的 LTCI 偏好有显著影响。在全样本中,福利套餐和政府补贴失去了统计学意义,但在某些子组中发挥了作用。不同年龄组的老年人对个人保费的偏好也存在差异。
基于老年人的实际需求优化长期护理保险政策设计,可以帮助提高老年人的效用,促进长期护理保险的顺利实施。