Department of Public Health, Keimyung University, Daegu, Korea.
Department of Health Policy and Management, Seoul National University College of Medicine, Seoul, Korea.
Yonsei Med J. 2020 Jul;61(7):640-643. doi: 10.3349/ymj.2020.61.7.640.
The purpose of this study was to examine the degree to which the magnitude of income inequality in life expectancy according to different categorization across beneficiary types under the National Health Insurance Service (NHIS) in Korea. We used population and death data in 2017 from the National Health Information Database of the NHIS. Income quintile groups were classified in four ways according to beneficiary type (employee insured, self-employed insured, and Medical Aid beneficiaries). Standard life table procedures were used to calculate life expectancy. The life expectancy gap between the lowest and highest income quintiles was the largest when the entire population was divided into quintiles without distinguishing among types of beneficiaries. In conclusion, we suggest that income quintile indicators in NHIS data, measured without distinguishing among types of beneficiaries, may best represent the magnitude of health inequalities in Korean society. This indicator could be used for future research on health inequalities, as well as for monitoring health inequalities in Korea.
本研究旨在探讨韩国国民健康保险服务（NHIS）中，根据不同受益类型对预期寿命的收入不平等程度进行分类的程度。我们使用了 2017 年 NHIS 国家健康信息数据库中的人口和死亡数据。根据受益类型（受雇保险、自雇保险和医疗援助受益人），将收入五分位数组分为四组。使用标准生命表程序计算预期寿命。当将整个人口分为五分位数，而不区分受益类型时，最低和最高收入五分位数之间的预期寿命差距最大。总之，我们建议，在不区分受益类型的情况下，NHIS 数据中的五分位数指标可能最能反映韩国社会健康不平等的程度。该指标可用于未来的健康不平等研究，以及监测韩国的健康不平等状况。
