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The road to recovery: impact of COVID-19 on healthcare utilization in South Korea in 2016–2022 using an interrupted time-series analysis

BACKGROUND: The COVID-19 pandemic substantially disrupted healthcare utilization patterns, globally. South Korea had been praised widely in its efforts to contain the spread of the pandemic, which may have contributed to a significantly smaller reduction in healthcare utilization compared to neighbo...

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Autores principales: Yoo, Katelyn Jison, Lee, Yoonkyoung, Lee, Seulbi, Friebel, Rocco, Shin, Soon-ae, Lee, Taejin, Bishai, David
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10541464/
https://www.ncbi.nlm.nih.gov/pubmed/37780633
http://dx.doi.org/10.1016/j.lanwpc.2023.100904
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author Yoo, Katelyn Jison
Lee, Yoonkyoung
Lee, Seulbi
Friebel, Rocco
Shin, Soon-ae
Lee, Taejin
Bishai, David
author_facet Yoo, Katelyn Jison
Lee, Yoonkyoung
Lee, Seulbi
Friebel, Rocco
Shin, Soon-ae
Lee, Taejin
Bishai, David
author_sort Yoo, Katelyn Jison
collection PubMed
description BACKGROUND: The COVID-19 pandemic substantially disrupted healthcare utilization patterns, globally. South Korea had been praised widely in its efforts to contain the spread of the pandemic, which may have contributed to a significantly smaller reduction in healthcare utilization compared to neighboring countries. However, it remains unknown how the COVID-19 pandemic impacted utilization patterns across population sub-groups, particularly vulnerable patient groups in South Korea. This paper quantifies the changes in healthcare utilization attributable to COVID-19 and the COVID-19 vaccination by sub-groups. METHODS: An interrupted time series analysis was conducted to examine the impact of COVID-19 on healthcare utilization in South Korea from January 2016 to December 2022 using aggregated patient-level data from the national health insurance system that accounts for 99% of all healthcare services in South Korea. We applied negative binomial models adjusting for seasonality and serial correlation. Falsification tests were conducted to test the validity of breakpoints. Stratified analyses by type of healthcare services, age, sex, income level, health facility type, and avoidable/non-avoidable hospitalizations was performed, and we assessed differences in utilization trends between population groups across three phases of the pandemic. FINDINGS: In early 2020, the COVID-19 pandemic caused a reduction in monthly volume of outpatient utilization by 15.7% [95% CI 13.3%–18.1%, p < 0.001] and inpatient utilization by 11.6% [10.1%–13.0%, p < 0.001]. Most utilization recovered and rebounded to pre-COVID-19 levels as of December 2022 although variations existed. We observed heterogeneity in the magnitude of relative changes in utilization across types of services, varying from a 42.7% [36.8%–48.0%, p < 0.001] decrease for pediatrics, a 23.4% [20.1%–26.5%%, p < 0.001] reduction in utilization of public health centers, and a 24.2% [21.2%–27.0%, p < 0.001] reduction in avoidable hospitalizations compared to the pre-pandemic period. Contrary to global trends, health utilization among the elderly population (65 and older) in South Korea saw only marginal reductions compared to other age groups. Similarly, Medicaid patients and lower income groups experienced a smaller reduction compared to higher income groups. INTERPRETATION: The impact of the COVID-19 pandemic on healthcare utilization in South Korea was less pronounced compared to the global average. Utilization of vulnerable populations, including adults over 65 years old and lowest-income groups reduced less than other type of patients. FUNDING: No funding.
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spelling pubmed-105414642023-10-01 The road to recovery: impact of COVID-19 on healthcare utilization in South Korea in 2016–2022 using an interrupted time-series analysis Yoo, Katelyn Jison Lee, Yoonkyoung Lee, Seulbi Friebel, Rocco Shin, Soon-ae Lee, Taejin Bishai, David Lancet Reg Health West Pac Articles BACKGROUND: The COVID-19 pandemic substantially disrupted healthcare utilization patterns, globally. South Korea had been praised widely in its efforts to contain the spread of the pandemic, which may have contributed to a significantly smaller reduction in healthcare utilization compared to neighboring countries. However, it remains unknown how the COVID-19 pandemic impacted utilization patterns across population sub-groups, particularly vulnerable patient groups in South Korea. This paper quantifies the changes in healthcare utilization attributable to COVID-19 and the COVID-19 vaccination by sub-groups. METHODS: An interrupted time series analysis was conducted to examine the impact of COVID-19 on healthcare utilization in South Korea from January 2016 to December 2022 using aggregated patient-level data from the national health insurance system that accounts for 99% of all healthcare services in South Korea. We applied negative binomial models adjusting for seasonality and serial correlation. Falsification tests were conducted to test the validity of breakpoints. Stratified analyses by type of healthcare services, age, sex, income level, health facility type, and avoidable/non-avoidable hospitalizations was performed, and we assessed differences in utilization trends between population groups across three phases of the pandemic. FINDINGS: In early 2020, the COVID-19 pandemic caused a reduction in monthly volume of outpatient utilization by 15.7% [95% CI 13.3%–18.1%, p < 0.001] and inpatient utilization by 11.6% [10.1%–13.0%, p < 0.001]. Most utilization recovered and rebounded to pre-COVID-19 levels as of December 2022 although variations existed. We observed heterogeneity in the magnitude of relative changes in utilization across types of services, varying from a 42.7% [36.8%–48.0%, p < 0.001] decrease for pediatrics, a 23.4% [20.1%–26.5%%, p < 0.001] reduction in utilization of public health centers, and a 24.2% [21.2%–27.0%, p < 0.001] reduction in avoidable hospitalizations compared to the pre-pandemic period. Contrary to global trends, health utilization among the elderly population (65 and older) in South Korea saw only marginal reductions compared to other age groups. Similarly, Medicaid patients and lower income groups experienced a smaller reduction compared to higher income groups. INTERPRETATION: The impact of the COVID-19 pandemic on healthcare utilization in South Korea was less pronounced compared to the global average. Utilization of vulnerable populations, including adults over 65 years old and lowest-income groups reduced less than other type of patients. FUNDING: No funding. Elsevier 2023-09-21 /pmc/articles/PMC10541464/ /pubmed/37780633 http://dx.doi.org/10.1016/j.lanwpc.2023.100904 Text en © 2023 The Author(s) https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Articles
Yoo, Katelyn Jison
Lee, Yoonkyoung
Lee, Seulbi
Friebel, Rocco
Shin, Soon-ae
Lee, Taejin
Bishai, David
The road to recovery: impact of COVID-19 on healthcare utilization in South Korea in 2016–2022 using an interrupted time-series analysis
title The road to recovery: impact of COVID-19 on healthcare utilization in South Korea in 2016–2022 using an interrupted time-series analysis
title_full The road to recovery: impact of COVID-19 on healthcare utilization in South Korea in 2016–2022 using an interrupted time-series analysis
title_fullStr The road to recovery: impact of COVID-19 on healthcare utilization in South Korea in 2016–2022 using an interrupted time-series analysis
title_full_unstemmed The road to recovery: impact of COVID-19 on healthcare utilization in South Korea in 2016–2022 using an interrupted time-series analysis
title_short The road to recovery: impact of COVID-19 on healthcare utilization in South Korea in 2016–2022 using an interrupted time-series analysis
title_sort road to recovery: impact of covid-19 on healthcare utilization in south korea in 2016–2022 using an interrupted time-series analysis
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10541464/
https://www.ncbi.nlm.nih.gov/pubmed/37780633
http://dx.doi.org/10.1016/j.lanwpc.2023.100904
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