[1]王 超,李 正.灾难性和贫困性医疗支出的测度与比较 ——基于CFPS数据的实证分析[J].卫生经济研究,2023,40(10):40-44.
　WANG Chao,LI Zheng.Study on the Measurement and Comparison of Catastrophic and Impoverishing Medical Expenses ——Empirical Analysis based on CFPS Data[J].Journal Press of Health Economics Research,2023,40(10):40-44.
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灾难性和贫困性医疗支出的测度与比较
——基于CFPS数据的实证分析
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卫生经济研究[ISSN:1004-7778/CN:33-1056/F]

卷:
40
期数:
2023年10期
页码:
40-44
栏目:
疾病经济负担
出版日期:
2023-09-28

文章信息/Info

Title:
Study on the Measurement and Comparison of Catastrophic and Impoverishing Medical Expenses
——Empirical Analysis based on CFPS Data
作者:
王 超1; 李 正2
1.首都经济贸易大学，北京 100070
2.北京市医疗器械检验研究院（北京市医用生物防护装备检验研究中心），北京 101111
Author(s):
WANG Chao;  LI Zheng
Capital University of Economics and Trade, Beijing 100070, China
关键词:
自付医疗费用; 灾难性医疗支出; 贫困性医疗支出; 因病致贫返贫
Keywords:
self-paid medical expenses;  catastrophic medical expenses;  impoverishing medical expenses;  poverty caused by illness
分类号:
R19
文献标志码:
A
摘要:
目的：利用2018年中国家庭追踪调查（CFPS）数据，测度我国灾难性和贫困性医疗支出风险。方法：运用一种方法同时测度灾难性医疗支出和贫困性医疗支出的发生率，并与传统方法进行对比分析，探究与之相关的社会经济因素。结果：我国约有8%的家庭面临灾难性支出，略低于2%的家庭发生了贫困性支出；灾难性和贫困性医疗支出主要集中在农村地区家庭和低收入家庭；传统的灾难性医疗支出测度方法会因计算方法与阈值的不同而有所差异，有序概率模型回归分析显示，家庭收入越高，发生灾难性和贫困性医疗支出的可能性越小。结论：建议加强农村家庭、低收入家庭、老年人等重点人群的医疗保障，优化医疗资源配置，降低其因病致贫返贫风险。
Abstract:
Objective To measure the risk of catastrophic and impoverishing medical expenses by using the data of 2018 China Family Panel Studies. Methods The incidence rates of catastrophic and impoverishing medical expenses were measured using the same method. The measurement results were compared and analyzed with the results of traditional methods. The relevant socio-economic factors were explored. Results About 8% of households in China faced catastrophic expenditures, while slightly less than 2% of households experienced impoverishing expenditures. Catastrophic and impoverishing medical expenses were mainly concentrated in rural households and low-income families. The catastrophic medical expenses of traditional measurement methods may vary depending on the calculation method and threshold. Through ordered probability model regression analysis, it was shown that the higher the household income, the less likely it was to incur catastrophic and impoverishing medical expenses. Conclusion It is recommended to strengthen medical security for high-risk groups such as rural families, low-income families, and the elderly, optimize the allocation of medical resources, and reduce the risk of poverty caused by illness.

参考文献/References:

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更新日期/Last Update: 2023-09-28