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Original Articles
- Healthcare Systems and COVID-19 Mortality in Selected OECD Countries: A Panel Quantile Regression Analysis
- Jalil Safaei, Andisheh Saliminezhad
- J Prev Med Public Health. 2023;56(6):515-522. Published online October 15, 2023
- DOI: https://doi.org/10.3961/jpmph.23.162
- 725 View
- 59 Download
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Abstract
Summary
PDF - Objectives
The pandemic caused by coronavirus disease 2019 (COVID-19) has exerted an unprecedented impact on the health of populations worldwide. However, the adverse health consequences of the pandemic in terms of infection and mortality rates have varied across countries. In this study, we investigate whether COVID-19 mortality rates across a group of developed nations are associated with characteristics of their healthcare systems, beyond the differential policy responses in those countries.
Methods
To achieve the study objective, we distinguished healthcare systems based on the extent of healthcare decommodification. Using available daily data from 2020, 2021, and 2022, we applied quantile regression with non-additive fixed effects to estimate mortality rates across quantiles. Our analysis began prior to vaccine development (in 2020) and continued after the vaccines were introduced (throughout 2021 and part of 2022).
Results
The findings indicate that higher testing rates, coupled with more stringent containment and public health measures, had a significant negative impact on the death rate in both pre-vaccination and post-vaccination models. The data from the post-vaccination model demonstrate that higher vaccination rates were associated with significant decreases in fatalities. Additionally, our research indicates that countries with healthcare systems characterized by high and medium levels of decommodification experienced lower mortality rates than those with healthcare systems involving low decommodification.
Conclusions
The results of this study indicate that stronger public health infrastructure and more inclusive social protections have mitigated the severity of the pandemic’s adverse health impacts, more so than emergency containment measures and social restrictions. -
SummaryKey Message
This study investigates whether COVID-19 mortality rates across a group of developed nations are associated with characteristics of their healthcare systems, beyond the differential policy responses in those countries. To this aim, a quantile regression with non-additive fixed effects is applied to estimate mortality rates across quantiles. The results of this study indicate that stronger public health infrastructure and more inclusive social protections have mitigated the severity of the pandemic’s adverse health impacts, more so than emergency containment measures and social restrictions.- Factors Related to Regional Variation in the High-risk Drinking Rate in Korea: Using Quantile Regression
- Eun Su Kim, Hae-Sung Nam
- J Prev Med Public Health. 2021;54(2):145-152. Published online March 16, 2021
- DOI: https://doi.org/10.3961/jpmph.20.507
- 3,391 View
- 119 Download
- 3 Web of Science
- 3 Crossref
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Abstract
Summary
PDF
Supplementary Material - Objectives
This study aimed to identify regional differences in the high-risk drinking rate among yearly alcohol users in Korea and to identify relevant regional factors for each quintile using quantile regression.
Methods
Data from 227 counties surveyed by the 2017 Korean Community Health Survey (KCHS) were analyzed. The analysis dataset included secondary data extracted from the Korean Statistical Information Service and data from the KCHS. To identify regional factors related to the high-risk drinking rate among yearly alcohol users, quantile regression was conducted by dividing the data into 10%, 30%, 50%, 70%, and 90% quantiles, and multiple linear regression was also performed.
Results
The current smoking rate, perceived stress rate, crude divorce rate, and financial independence rate, as well as one’s social network, were related to the high-risk drinking rate among yearly alcohol users. The quantile regression revealed that the perceived stress rate was related to all quantiles except for the 90% quantile, and the financial independence rate was related to the 50% to 90% quantiles. The crude divorce rate was related to the high-risk drinking rate among yearly alcohol users in all quantiles.
Conclusions
The findings of this study suggest that local health programs for high-risk drinking are needed in areas with high local stress and high crude divorce rates. -
SummaryKorean summary
본 연구는 quantile regression을 이용하여 high risk drinking 의 지역간 변이 요인을 파악하였습니다. 연구결과, high risk drinking rate 의 지역간 변이가 크고, quanile별로 관련요인을 다르다는 것을 파악하였습니다. 본 연구의 결과는 높은 지역의 스트레스와 조이혼율의 관리와 함께 지역 고위험음주율의 건강프로그램이 필요하다는 것을 암시한다. -
Citations
Citations to this article as recorded by
- Prevalence and Related Factors of Depression Before and During the COVID-19 Pandemic: Findings From the Korea National Health and Nutrition Examination Survey
Eung-Joon Lee, Seung Jae Kim
Journal of Korean Medical Science.2023;[Epub] CrossRef - Data resource profile: the Korean Community Health Status Indicators (K-CHSI) database
Hye-Eun Lee, Yeon-gyeong Kim, Jin-Young Jeong, Dong-Hyun Kim
Epidemiology and Health.2023; 45: e2023016. CrossRef - Prevalence, awareness, and treatment of depression among community-dwelling stroke survivors in Korea
Eung-Joon Lee, Oh Deog Kwon, Seung Jae Kim
Scientific Reports.2022;[Epub] CrossRef
- Prevalence and Related Factors of Depression Before and During the COVID-19 Pandemic: Findings From the Korea National Health and Nutrition Examination Survey
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