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Associations between the stringency of COVID-19 containment policies and health service disruptions in 10 countries
BACKGROUND: Disruptions in essential health services during the COVID-19 pandemic have been reported in several countries. Yet, patterns in health service disruption according to country responses remain unclear. In this paper, we investigate associations between the stringency of COVID-19 containme...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10096103/ https://www.ncbi.nlm.nih.gov/pubmed/37046260 http://dx.doi.org/10.1186/s12913-023-09363-1 |
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author | Reddy, Tarylee Kapoor, Neena R. Kubota, Shogo Doubova, Svetlana V Asai, Daisuke Mariam, Damen Haile Ayele, Wondimu Mebratie, Anagaw Derseh Thermidor, Roody Sapag, Jaime C. Bedregal, Paula Passi-Solar, Álvaro Gordon-Strachan, Georgiana Dulal, Mahesh Gadeka, Dominic Dormenyo Mehata, Suresh Margozzini, Paula Leerapan, Borwornsom Rittiphairoj, Thanitsara Kaewkamjornchai, Phanuwich Nega, Adiam Awoonor-Williams, John Koku Kruk, Margaret E. Arsenault, Catherine |
author_facet | Reddy, Tarylee Kapoor, Neena R. Kubota, Shogo Doubova, Svetlana V Asai, Daisuke Mariam, Damen Haile Ayele, Wondimu Mebratie, Anagaw Derseh Thermidor, Roody Sapag, Jaime C. Bedregal, Paula Passi-Solar, Álvaro Gordon-Strachan, Georgiana Dulal, Mahesh Gadeka, Dominic Dormenyo Mehata, Suresh Margozzini, Paula Leerapan, Borwornsom Rittiphairoj, Thanitsara Kaewkamjornchai, Phanuwich Nega, Adiam Awoonor-Williams, John Koku Kruk, Margaret E. Arsenault, Catherine |
author_sort | Reddy, Tarylee |
collection | PubMed |
description | BACKGROUND: Disruptions in essential health services during the COVID-19 pandemic have been reported in several countries. Yet, patterns in health service disruption according to country responses remain unclear. In this paper, we investigate associations between the stringency of COVID-19 containment policies and disruptions in 31 health services in 10 low- middle- and high-income countries in 2020. METHODS: Using routine health information systems and administrative data from 10 countries (Chile, Ethiopia, Ghana, Haiti, Lao People’s Democratic Republic, Mexico, Nepal, South Africa, South Korea, and Thailand) we estimated health service disruptions for the period of April to December 2020 by dividing monthly service provision at national levels by the average service provision in the 15 months pre-COVID (January 2019-March 2020). We used the Oxford COVID-19 Government Response Tracker (OxCGRT) index and multi-level linear regression analyses to assess associations between the stringency of restrictions and health service disruptions over nine months. We extended the analysis by examining associations between 11 individual containment or closure policies and health service disruptions. Models were adjusted for COVID caseload, health service category and country GDP and included robust standard errors. FINDINGS: Chronic disease care was among the most affected services. Regression analyses revealed that a 10% increase in the mean stringency index was associated with a 3.3 percentage-point (95% CI -3.9, -2.7) reduction in relative service volumes. Among individual policies, curfews, and the presence of a state of emergency, had the largest coefficients and were associated with 14.1 (95% CI -19.6, 8.7) and 10.7 (95% CI -12.7, -8.7) percentage-point lower relative service volumes, respectively. In contrast, number of COVID-19 cases in 2020 was not associated with health service disruptions in any model. CONCLUSIONS: Although containment policies were crucial in reducing COVID-19 mortality in many contexts, it is important to consider the indirect effects of these restrictions. Strategies to improve the resilience of health systems should be designed to ensure that populations can continue accessing essential health care despite the presence of containment policies during future infectious disease outbreaks. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12913-023-09363-1. |
format | Online Article Text |
id | pubmed-10096103 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-100961032023-04-14 Associations between the stringency of COVID-19 containment policies and health service disruptions in 10 countries Reddy, Tarylee Kapoor, Neena R. Kubota, Shogo Doubova, Svetlana V Asai, Daisuke Mariam, Damen Haile Ayele, Wondimu Mebratie, Anagaw Derseh Thermidor, Roody Sapag, Jaime C. Bedregal, Paula Passi-Solar, Álvaro Gordon-Strachan, Georgiana Dulal, Mahesh Gadeka, Dominic Dormenyo Mehata, Suresh Margozzini, Paula Leerapan, Borwornsom Rittiphairoj, Thanitsara Kaewkamjornchai, Phanuwich Nega, Adiam Awoonor-Williams, John Koku Kruk, Margaret E. Arsenault, Catherine BMC Health Serv Res Research BACKGROUND: Disruptions in essential health services during the COVID-19 pandemic have been reported in several countries. Yet, patterns in health service disruption according to country responses remain unclear. In this paper, we investigate associations between the stringency of COVID-19 containment policies and disruptions in 31 health services in 10 low- middle- and high-income countries in 2020. METHODS: Using routine health information systems and administrative data from 10 countries (Chile, Ethiopia, Ghana, Haiti, Lao People’s Democratic Republic, Mexico, Nepal, South Africa, South Korea, and Thailand) we estimated health service disruptions for the period of April to December 2020 by dividing monthly service provision at national levels by the average service provision in the 15 months pre-COVID (January 2019-March 2020). We used the Oxford COVID-19 Government Response Tracker (OxCGRT) index and multi-level linear regression analyses to assess associations between the stringency of restrictions and health service disruptions over nine months. We extended the analysis by examining associations between 11 individual containment or closure policies and health service disruptions. Models were adjusted for COVID caseload, health service category and country GDP and included robust standard errors. FINDINGS: Chronic disease care was among the most affected services. Regression analyses revealed that a 10% increase in the mean stringency index was associated with a 3.3 percentage-point (95% CI -3.9, -2.7) reduction in relative service volumes. Among individual policies, curfews, and the presence of a state of emergency, had the largest coefficients and were associated with 14.1 (95% CI -19.6, 8.7) and 10.7 (95% CI -12.7, -8.7) percentage-point lower relative service volumes, respectively. In contrast, number of COVID-19 cases in 2020 was not associated with health service disruptions in any model. CONCLUSIONS: Although containment policies were crucial in reducing COVID-19 mortality in many contexts, it is important to consider the indirect effects of these restrictions. Strategies to improve the resilience of health systems should be designed to ensure that populations can continue accessing essential health care despite the presence of containment policies during future infectious disease outbreaks. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12913-023-09363-1. BioMed Central 2023-04-12 /pmc/articles/PMC10096103/ /pubmed/37046260 http://dx.doi.org/10.1186/s12913-023-09363-1 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Reddy, Tarylee Kapoor, Neena R. Kubota, Shogo Doubova, Svetlana V Asai, Daisuke Mariam, Damen Haile Ayele, Wondimu Mebratie, Anagaw Derseh Thermidor, Roody Sapag, Jaime C. Bedregal, Paula Passi-Solar, Álvaro Gordon-Strachan, Georgiana Dulal, Mahesh Gadeka, Dominic Dormenyo Mehata, Suresh Margozzini, Paula Leerapan, Borwornsom Rittiphairoj, Thanitsara Kaewkamjornchai, Phanuwich Nega, Adiam Awoonor-Williams, John Koku Kruk, Margaret E. Arsenault, Catherine Associations between the stringency of COVID-19 containment policies and health service disruptions in 10 countries |
title | Associations between the stringency of COVID-19 containment policies and health service disruptions in 10 countries |
title_full | Associations between the stringency of COVID-19 containment policies and health service disruptions in 10 countries |
title_fullStr | Associations between the stringency of COVID-19 containment policies and health service disruptions in 10 countries |
title_full_unstemmed | Associations between the stringency of COVID-19 containment policies and health service disruptions in 10 countries |
title_short | Associations between the stringency of COVID-19 containment policies and health service disruptions in 10 countries |
title_sort | associations between the stringency of covid-19 containment policies and health service disruptions in 10 countries |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10096103/ https://www.ncbi.nlm.nih.gov/pubmed/37046260 http://dx.doi.org/10.1186/s12913-023-09363-1 |
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