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Power of universal health coverage in the era of COVID-19: A nationwide observational study
Author(s) -
Hyejin Lee,
Jae-ryun Lee,
Hyemin Jung,
Jin Yong Lee
Publication year - 2021
Publication title -
the lancet regional health - western pacific
Language(s) - English
Resource type - Journals
ISSN - 2666-6065
DOI - 10.1016/j.lanwpc.2020.100088
Subject(s) - case fatality rate , socioeconomic status , medicine , demography , logistic regression , observational study , odds , environmental health , mortality rate , odds ratio , population , sociology
BackgroundDuring the COVID-19 pandemic, South Korea has achieved perfect universal health coverage (UHC)—all Koreans receive UHC regardless of their socioeconomic status. The current study investigated whether socioeconomic disparities remained in COVID-19 health outcomes under UHC.MethodsThis retrospective, observational study included all 7,590 confirmed COVID-19 patients in South Korea up to 15 May 2020. We used the official medical claim database, and socioeconomic status was estimated by insurance type (National Health Insurance Service [NHIS] beneficiaries and Medical Aid [MA] recipients). Type of insurance is a well-known indicator of socioeconomic status. Prevalence (per one million), mortality rate (per one million), and case fatality rate were calculated. To determine the factors associated with case fatality rate, multivariable logistic regressions were performed.FindingsThe nationwide prevalence, mortality rate, and case fatality rate of COVID-19 was 144•4, 4•3 and 3•0%, respectively. MA recipients had higher prevalence (424•3 vs 136.3), mortality rate (28•3 vs 3•6), and case fatality rate (6•7 vs 2•7) than NHIS beneficiaries. However, the adjusted analysis showed that the type of insurance was not associated with higher odds of case fatality.InterpretationWe found socioeconomic disparities in COVID-19 prevalence and fatality despite UHC. However, disparities in fatality were not due to socioeconomic status, but due to the poor underlying health conditions of the people. This result can be explained by a combination of UHC, rapid early testing and treatment, transmission-reducing behaviours, and regional preparedness.FundingThis research did not receive any funding.

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