Trends and determinants of catastrophic health expenditure in China 2010-2018: a national panel data analysis

被引:22
|
作者
Liu, Cai [1 ]
Liu, Zhao-min [2 ]
Nicholas, Stephen [3 ,4 ,5 ,6 ,7 ]
Wang, Jian [8 ,9 ]
机构
[1] Tianjin Univ Tradit Chinese Med, Sch Management, Tianjin 301617, Peoples R China
[2] Jining Med Univ, 669 Xueyuan Rd, Rizhao City 276826, Shandong, Peoples R China
[3] Australian Natl Inst Management & Commerce, 1 Cent Ave,Australian Technol Pk, Eveleigh, NSW 2015, Australia
[4] Tianjin Normal Univ, Sch Econ, West Bin Shui Ave, Tianjin 300074, Peoples R China
[5] Tianjin Normal Univ, Sch Management, West Bin Shui Ave, Tianjin 300074, Peoples R China
[6] Guangdong Univ Foreign Studies, Res Inst Int Strategies, Baiyun Ave North, Guangzhou 510420, Peoples R China
[7] Univ Newcastle, Newcastle Business Sch, Univ Dr, Newcastle, NSW 2308, Australia
[8] Wuhan Univ, Dong Fureng Inst Econ & Social Dev, 54 Dongsi Lishi Hutong, Beijing 100010, Peoples R China
[9] Wuhan Univ, Sch Econ & Management, Ctr Hlth Econ & Management, 299 Bayi Rd, Wuhan 430072, Hubei, Peoples R China
关键词
Catastrophic health expenditures; Out-of-pocket expenses; Health insurance; China; COOPERATIVE MEDICAL SCHEME; FINANCIAL PROTECTION; IMPOVERISHMENT; INSURANCE; CARE; INEQUALITY; HOUSEHOLDS; INCOME;
D O I
10.1186/s12913-021-06533-x
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
BackgroundCatastrophic health expenditures (CHE) are out-of-pocket payments (OOP) that exceed a predefined percentage or threshold of a household's resources, usually 40%, that can push households into poverty in China. We analyzed the trends in the incidence and intensity, and explored the determinants, of CHE, and proposed policy recommendation to address CHE.MethodsA unique 5-year national urban-rural panel database was constructed from the China Family Panel Studies (CFPS) surveys. CHE incidence was measured by calculating headcount (percentage of households incurring CHE to the total household sample) and intensity was measured by overshoot (degree by which an average out of pocket health expenditure exceeds the threshold of the total sample). A linear probability model was employed to assess the trend in the net effect of the determinants of CHE incidence and a random effect logit model was used to analyse the role of the characteristics of the household head, the household and household health utilization on CHE incidence.ResultsCHE determinants vary across time and geographical location. From 2010 to 2018, the total, urban and rural CHE incidence all showed a decreasing tend, falling from 14.7 to 8.7% for total households, 12.5-6.6% in urban and 16.8-10.9% in rural areas. CHE intensity decreased in rural (24.50-20.51%) and urban (22.31-19.57%) areas and for all households (23.61-20.15%). Inpatient services were the most important determinant of the incidence of CHE. For urban households, the random effect logit model identified household head (age, education, self-rated health); household characteristics (members 65+years, chronic diseases, family size and income status); and healthcare utilization (inpatient and outpatient usage) as determinants of CHE. For rural areas, the same variables were significant with the addition of household head's sex and health insurance.ConclusionsThe incidence and intensity of CHE in China displayed a downward trend, but was higher in rural than urban areas. Costs of inpatient service usage should be a key intervention strategy to address CHE. The policy implications include improving the economic level of poor households, reforming health insurance and reinforcing pre-payment hospital insurance methods.
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页数:12
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