| 引用本文：高健, 高海霞, 刘亚辉, 丁静.“灾难性卫生支出”能解释农村“因病致贫”吗？ ——中国式标准的提出[J].中国卫生政策研究,2018,11(11):1-9 |
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| “灾难性卫生支出”能解释农村“因病致贫”吗？ ——中国式标准的提出 |
| 投稿时间：2018-04-12 修订日期：2018-09-18 PDF全文浏览 HTML全文浏览 |
| 高健1, 高海霞2, 刘亚辉3, 丁静1 |
1. 上海财经大学公共经济与管理学院 上海 200433;
2. 西南财经大学保险学院 四川成都 610074;
3. 南京财经大学经济学院 江苏南京 210023 |
| 摘要:目的：将“因病致贫”从绝对概念推广至相对概念，立足于“灾难性卫生支出”指标，探索“灾难性卫生支出”指标与“因病致贫”最佳匹配模式，最终提出符合我国国情的“灾难性卫生支出”指标的计算方式和阈值。方法：运用统计模拟方法，基于国际卫生经济学使用的三种“灾难性卫生支出”计算指标，分别将其与“因病致贫”指标相匹配，寻找10%～80%阈值内的最佳匹配率。结果：以“可支付能力”作为分母的匹配效果最差，以“可支配支出”作为分母的效果次之，二者的匹配效果都低于50%；以收入作为分母的“灾难性卫生支出”指标匹配效果最好，在2011年和2013年样本中分别达65.92%和72.57%。结论：在中国的国情下，中国式“灾难性卫生支出”指标应以“收入作为分母，12%～17%左右作为阈值”为宜。 |
| 关键词:因病致贫 灾难性卫生支出 匹配率 统计模拟 |
| 基金项目:上海市教委公共管理一级学科博士点培养项目（2014950818）子课题“反贫困与社会保障系列问题研究”；上海财经大学研究生创新基金项目城乡居民大病医疗保障治理健康贫困的效果评估研究（CXJJ-2017-405） |
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| Can Catastrophic Health Expenditure explain poverty caused by illness in rural areas: A proposal from the Chinese point of view |
| GAO Jian1, GAO Hai-xia2, LIU Ya-hui3, DING Jing1 |
1. School of Public Economics & Administration, Shanghai University of Finance & Economics, Shanghai 200433, China;
2. Insurance School of Southwestern University of Finance and Economics, Chengdu Sichuan 610074, China;
3. School of Economics, Nanjing University of Finance and Economics, Nanjing Jiangsu 210023, China |
| Abstract:Objective:This paper proposes the calculation method and threshold of the Catastrophic Health Expenditure(CHE) indicators that explain "poverty caused by illness" and are in line with China's actual conditions. Methods:Using statistical simulation, and based on the three "Catastrophic Health Expenditure" calculation indicators frequently used in international health economics research, this paper matches the indicators with the "poverty caused by illness" indicator to find the best match rate within the threshold of 10% to 80%. Results:The effect is worst when the "ability to pay" is defined as the denominator, followed by the "ability to expend"; the matching rate of both cases are less than 50%. The best matching rate is achieved when "income" is defined as the denominator with a maximum match rate of 65.92% and 72.57% in 2011 and 2013 samples, respectively. Conclusions:Under the reality of China, Chinese "Catastrophic Health Expenditure" indicator should be calculated with "income as the denominator and 12% to 17% as the threshold". |
| Key words:Poverty caused by illness Catastrophic Health Expenditure Best matching rate Statistical simulation |
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