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Inequality in Life Expectancy in Korea according to Various Categorizations of the National Health Insurance Premiums as a Marker of Income
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논문 기본 정보

Type
Academic journal
Author
Journal
Yonsei University College of Medicine Yonsei Medical Journal Yonsei Medical Journal 제61권 제7호 KCI Accredited Journals
Published
2020.1
Pages
640 - 643 (4page)

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Inequality in Life Expectancy in Korea according to Various Categorizations of the National Health Insurance Premiums as a Marker of Income
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Abstract· Keywords

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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.

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References (24)

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Khang YH / 2019 / A publicly well-accepted measure versus an academically desirable measure of health inequality : cross-sectional comparison of the difference between income quintiles with the slope index of inequality / BMJ Open 9:e028687 google schola Khang YH / 2019 / Trends in inequality in life expectancy at birth between 2004 and 2017 and projections for 2030 in Korea : multiyear cross-sectional differences by income from national health insurance data / BMJ Open 9(7):e030683 google schola Chun SY / 2019 / Disparities in avoidable hospitalization by income in South Korea : data from the National Health Insurance cohort / Eur J Public Health 29:225~231 google schola Ahn C / 2017 / Predictors of all-cause mortality among 514, 866 participants from the Korean National Health Screening Cohort / PLoS One 12:e0185458 google schola Khang YH / 2016 / Age-and cause-specific contributions to income difference in life expectancy at birth : findings from nationally representative data on one million South Koreans / Eur J Public Health 26:242~248 google schola

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