[1]李文豪,李 晴,张天懿.中老年人家庭灾难性卫生支出影响因素研究[J].卫生经济研究,2025,42(12):23-27.
 LI Wenhao,LI Qing,ZHANG Tianyi.Study on Influencing Factors of Catastrophic Health Expenditure in Middle-Aged and Elderly Households in China[J].Journal Press of Health Economics Research,2025,42(12):23-27.
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中老年人家庭灾难性卫生支出影响因素研究

卫生经济研究[ISSN:1004-7778/CN:33-1056/F]

卷:
42
期数:
2025年12期
页码:
23-27
栏目:
聚焦医改
出版日期:
2025-12-02

文章信息/Info

Title:
Study on Influencing Factors of Catastrophic Health Expenditure in Middle-Aged and Elderly Households in China
作者:
李文豪1李 晴2张天懿1
1.天津中医药大学管理学院,天津 301617
2.青岛大学青岛医学院,山东 青岛 266003
Author(s):
LI Wenhao LI Qing ZHANG Tianyi
School of Management, Tianjin University of Traditional Chinese Medicine, Tianjin 301617, China
关键词:
中老年人家庭灾难性卫生支出安德森卫生服务利用模型
Keywords:
middle-aged and elderly catastrophic health expenditure Anderson health services utilization model
分类号:
R197
文献标志码:
A
摘要:
目的:分析我国中老年人家庭灾难性卫生支出的影响因素,为积极应对人口老龄化提供决策依据。方法:基于2022年中国家庭追踪调查(CFPS)数据,选取户主为45岁及以上中老年人家庭为研究对象,基于安德森卫生服务利用模型理论,采用单因素分析、Logistic回归分析和Shapley值分解法,探究倾向特征、使能资源、需求因素对中老年人家庭灾难性卫生支出的影响。结果:4 691户中老年人家庭中,610户(13.00%)发生过灾难性卫生支出;单因素分析结果显示,年龄、文化程度、工作情况、居住地、家庭人均收入、家庭规模、就医偏好、自评健康状况、慢性病患病情况,对中老年人家庭灾难性卫生支出具有显著影响;Shapley值分解结果显示,对中老年人家庭灾难性卫生支出发生率影响较大的变量为年龄(15.95%)、家庭规模(15.61%)、自评健康状况(20.86%)和慢性病患病情况(10.29%)。结论:通过提供差异化帮扶、做好慢性病健康管理、完善困难人员就业援助制度等措施,改善中老年人家庭灾难性卫生支出现状。
Abstract:
Objective To analyze the influencing factors of catastrophic health expenditure in middle-aged and elderly households in China, and to provide a decision-making basis for actively responding to population aging. Methods Based on the 2022 China Family Panel Studies(CFPS) data, households with heads aged 45 and above were selected as the study subjects. Guided by Anderson health services utilization model, univariate analysis, logistic regression analysis, and Shapley value decomposition were used to explore the effects of predisposing characteristics, enabling resources, and need factors on catastrophic health expenditure. Results Among the 4 691 households surveyed, 610(13.00%) experienced catastrophic health expenditure. Univariate analysis revealed that age, education level, employment status, residence location, household income per capita, family size, healthcare preference, self-rated health status, and chronic disease conditions significantly influenced the incidence of catastrophic health expenditure. Shapley value decomposition indicated that the variables with the greatest contribution to the incidence of catastrophic health expenditure were self-rated health status(20.86%), age(15.95%), family size(15.61%), and chronic disease conditions(10.29%). Conclusion Differentiated assistance, improved health management for chronic diseases, and enhanced employment support systems for vulnerable populations should be implemented to alleviate the burden of catastrophic health expenditure among middle-aged and elderly households.

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更新日期/Last Update: 2025-12-02