Associations between the stringency of COVID-19 containment policies and health service disruptions in 10 countries.

COVID-19 restrictions Health care disruptions Health services Health system resilience Health systems Pandemic response

Journal

BMC health services research
ISSN: 1472-6963
Titre abrégé: BMC Health Serv Res
Pays: England
ID NLM: 101088677

Informations de publication

Date de publication:
12 Apr 2023
Historique:
received: 14 12 2022
accepted: 03 04 2023
medline: 14 4 2023
entrez: 12 4 2023
pubmed: 13 4 2023
Statut: epublish

Résumé

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. 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. 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. 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.

Sections du résumé

BACKGROUND 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 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 RESULTS
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 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.

Identifiants

pubmed: 37046260
doi: 10.1186/s12913-023-09363-1
pii: 10.1186/s12913-023-09363-1
pmc: PMC10096103
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

363

Subventions

Organisme : World Health Organization
ID : 001
Pays : International
Organisme : Bill & Melinda Gates Foundation
ID : INV-017293
Pays : United States
Organisme : Bill & Melinda Gates Foundation
ID : INV-005254
Pays : United States

Informations de copyright

© 2023. The Author(s).

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Auteurs

Tarylee Reddy (T)

Biostatistics Research Unit, South African Medical Research Council, Durban, South Africa.
School of Mathematics, Statistics and Computer Science, University of KwaZulu Natal, Durban, South Africa.

Neena R Kapoor (NR)

Department of Global Health and Population, Harvard T.H. Chan School of Public Health, Boston, USA.

Shogo Kubota (S)

World Health Organization, Vientiane, Lao People's Democratic Republic, Vientiane, Laos.

Svetlana V Doubova (SV)

Epidemiology and Health Services Research Unit CMN Siglo XXI, Mexican Institute of Social Security, Mexico City, Mexico.

Daisuke Asai (D)

World Health Organization, Vientiane, Lao People's Democratic Republic, Vientiane, Laos.

Damen Haile Mariam (DH)

School of Public Health, College of Health Sciences, Addis Ababa University, Addis Ababa, Ethiopia.

Wondimu Ayele (W)

School of Public Health, College of Health Sciences, Addis Ababa University, Addis Ababa, Ethiopia.

Anagaw Derseh Mebratie (AD)

School of Public Health, College of Health Sciences, Addis Ababa University, Addis Ababa, Ethiopia.

Roody Thermidor (R)

Studies and Planning Unit, Ministry of Public Health and Population, Port-Au-Prince, Haiti.

Jaime C Sapag (JC)

Public Health Department, Faculty of Medicine, Pontificia Universidad Católica de Chile, Santiago, Chile.

Paula Bedregal (P)

Public Health Department, Faculty of Medicine, Pontificia Universidad Católica de Chile, Santiago, Chile.

Álvaro Passi-Solar (Á)

Public Health Department, Faculty of Medicine, Pontificia Universidad Católica de Chile, Santiago, Chile.

Georgiana Gordon-Strachan (G)

Caribbean Institute for Health Research, University of West Indies, Kingston, Jamaica.

Mahesh Dulal (M)

Office of the Member of Federal Parliament Gagan Kumar Thapa, Kathmandu, Nepal.

Dominic Dormenyo Gadeka (DD)

School of Public Health, University of Ghana, Accra, Ghana.

Suresh Mehata (S)

Ministry of Health, Koshi Province, Biratnagar, Nepal.

Paula Margozzini (P)

Public Health Department, Faculty of Medicine, Pontificia Universidad Católica de Chile, Santiago, Chile.

Borwornsom Leerapan (B)

Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand.

Thanitsara Rittiphairoj (T)

Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand.

Phanuwich Kaewkamjornchai (P)

Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand.

Adiam Nega (A)

School of Public Health, College of Health Sciences, Addis Ababa University, Addis Ababa, Ethiopia.

John Koku Awoonor-Williams (JK)

School of Public Health, University of Ghana, Accra, Ghana.

Margaret E Kruk (ME)

Department of Global Health and Population, Harvard T.H. Chan School of Public Health, Boston, USA.

Catherine Arsenault (C)

Department of Global Health, The George Washington University Milken Institute School of Public Health, Washington, USA. catherine.arsenault@gwu.edu.

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