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Measurement and explanation of socioeconomic inequality in catastrophic health care expenditure: evidence from the rural areas of Shaanxi Province

Overview of attention for article published in BMC Health Services Research, July 2015
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Title
Measurement and explanation of socioeconomic inequality in catastrophic health care expenditure: evidence from the rural areas of Shaanxi Province
Published in
BMC Health Services Research, July 2015
DOI 10.1186/s12913-015-0892-2
Pubmed ID
Authors

Yongjian Xu, Jianmin Gao, Zhongliang Zhou, Qinxiang Xue, Jinjuan Yang, Hao Luo, Yanli Li, Sha Lai, Gang Chen

Abstract

Policy interventions have been taken to protect households from facing unpredictable economic changes that may cause catastrophe in China. This study aims to estimate the change of overall proportion of households incurring catastrophic health care expenditure (CHE) and its income-related inequality in the rural areas of Shaanxi Province from 2008 to 2013. The data were drawn from the National Household Health Service Surveys of Shaanxi Province conducted in the years 2008 and 2013. In total, 3,217 households in 2008 and 13,085 households in 2013 were selected for analysis. A "Capacity to pay" approach was used to measure the incidence of CHE. The concentration index was employed to measure the extent of income-related inequality in CHE. A decomposition method, based on a logit model, was used to decompose the concentration index into its determining components. From 2008 to 2013, the overall proportion of households incurring CHE dropped from 17.19 % to 15.83 %, while conversely, the inequality in facing CHE strongly increased. The majority of observed inequalities in CHE were explained by household economic status and household size in 2013. In addition, the absence of commercial health insurance and having elderly members were also important contributors to inequality in CHE. Even though we used a conservative method to measure CHE, the overall proportion of households incurring CHE in Shaanxi Province is still considerably high in both years. Furthermore, there exists a strong pro-rich inequality of CHE in rural areas of Shaanxi Province. Our study suggests that narrowing the gap of household economic status, improving the anti-risk capability of small scale households, establishing prepayment mechanisms in health insurance, strengthening the depth of reimbursement and subsidising vulnerable households in Shaanxi Province are helpful for both reducing the probability of incurring CHE and the pro-rich inequality in CHE.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 96 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Cambodia 1 1%
Kenya 1 1%
South Africa 1 1%
Unknown 93 97%

Demographic breakdown

Readers by professional status Count As %
Student > Master 16 17%
Researcher 13 14%
Student > Ph. D. Student 13 14%
Student > Bachelor 8 8%
Lecturer 6 6%
Other 13 14%
Unknown 27 28%
Readers by discipline Count As %
Economics, Econometrics and Finance 14 15%
Social Sciences 13 14%
Nursing and Health Professions 12 13%
Medicine and Dentistry 9 9%
Business, Management and Accounting 5 5%
Other 13 14%
Unknown 30 31%