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10.1016/j.lanwpc.2020.100088 http://scihub22266oqcxt.onion/10.1016/j.lanwpc.2020.100088 33521744!7826087!33521744     free     free     free Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Lancet+Reg+Health+West+Pac 2021 ; 7 (ä): 100088 Nephropedia Template TP {{tp|p=33521744|t=2021. Power of universal health coverage in the era of COVID-19: A nationwide observational study |pdf=|usr=}}{{33521744}} gab.com Text Power of universal health coverage in the era of COVID-19: A nationwide observational study JO: Lancet Reg Health West Pac http://www.kidney.de/pget.php?&tw=1&pmid=33521744 #FOAvip BACKGROUND: During 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. METHODS: This 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. FINDINGS: The 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. INTERPRETATION: We 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. FUNDING: This research did not receive any funding. Twit Text FOAVip Power of universal health coverage in the era of COVID-19: A nationwide observational study ????Lancet Reg Health West Pac http://www.kidney.de/pget.php?&tw=1&pmid=33521744 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33521744 #FOAvip English Wikipedia <ref>{{Cite pmid|33521744}}</ref> Power of universal health coverage in the era of COVID-19: A nationwide observational study #MMPMID33521744 Lee H; Lee JR; Jung H; Lee JY Lancet Reg Health West Pac 2021[Feb]; 7 (ä): 100088 PMID33521744show ga BACKGROUND: During 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. METHODS: This 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. FINDINGS: The 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. INTERPRETATION: We 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. FUNDING: This research did not receive any funding. äPower of universal health coverage in the era of COVID-19: A nationwid(epmc).pdf DeepDyve Pubget Overpricing