Evidence map›Paper›PMID 37046260›Full record

ArticleBMC health services research2023

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

Tarylee Reddy, Neena R Kapoor, Shogo Kubota, Svetlana V Doubova, Daisuke Asai, Damen Haile Mariam, Wondimu Ayele, Anagaw Derseh Mebratie, Roody Thermidor, Jaime C Sapag and 14 more

Abstract read
In one paragraph

Article in BMC health services research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

24 authors.

Tarylee Reddy *Biostatistics Research Unit, South African Medical Research Council, Durban, South Africa.
Neena R Kapoor *Department of Global Health and Population, Harvard T.H. Chan School of Public Health, Boston, USA.
Shogo KubotaWorld Health Organization, Vientiane, Lao People's Democratic Republic, Vientiane, Laos.
Svetlana V DoubovaEpidemiology and Health Services Research Unit CMN Siglo XXI, Mexican Institute of Social Security, Mexico City, Mexico.
Daisuke AsaiWorld Health Organization, Vientiane, Lao People's Democratic Republic, Vientiane, Laos.
Damen Haile MariamSchool of Public Health, College of Health Sciences, Addis Ababa University, Addis Ababa, Ethiopia.
Wondimu AyeleSchool of Public Health, College of Health Sciences, Addis Ababa University, Addis Ababa, Ethiopia.
Anagaw Derseh MebratieSchool of Public Health, College of Health Sciences, Addis Ababa University, Addis Ababa, Ethiopia.
Roody ThermidorStudies and Planning Unit, Ministry of Public Health and Population, Port-Au-Prince, Haiti.
Jaime C SapagPublic Health Department, Faculty of Medicine, Pontificia Universidad Católica de Chile, Santiago, Chile.
Paula BedregalPublic Health Department, Faculty of Medicine, Pontificia Universidad Católica de Chile, Santiago, Chile.
Álvaro Passi-SolarPublic Health Department, Faculty of Medicine, Pontificia Universidad Católica de Chile, Santiago, Chile.
Georgiana Gordon-StrachanCaribbean Institute for Health Research, University of West Indies, Kingston, Jamaica.
Mahesh DulalOffice of the Member of Federal Parliament Gagan Kumar Thapa, Kathmandu, Nepal.
Dominic Dormenyo GadekaSchool of Public Health, University of Ghana, Accra, Ghana.
Suresh MehataMinistry of Health, Koshi Province, Biratnagar, Nepal.
Paula MargozziniPublic Health Department, Faculty of Medicine, Pontificia Universidad Católica de Chile, Santiago, Chile.
Borwornsom LeerapanFaculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand.
Thanitsara RittiphairojFaculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand.
Phanuwich KaewkamjornchaiFaculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand.
Adiam NegaSchool of Public Health, College of Health Sciences, Addis Ababa University, Addis Ababa, Ethiopia.
John Koku Awoonor-WilliamsSchool of Public Health, University of Ghana, Accra, Ghana.
Margaret E KrukDepartment of Global Health and Population, Harvard T.H. Chan School of Public Health, Boston, USA.
Catherine ArsenaultDepartment of Global Health, The George Washington University Milken Institute School of Public Health, Washington, USA. catherine.arsenault@gwu.edu.

Funding

Gates Foundation INV-005254Gates Foundation INV-017293World Health Organization 001
6 · The paper itself

Abstract

backgroundDisruptions 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.

methodsUsing 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.

findingsChronic 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.

conclusionsAlthough 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.

Indexed as

COVID-19PandemicsHealth FacilitiesHealth ServicesHumansLong-Term CareCOVID-19 restrictionsHealth care disruptionsHealth servicesHealth system resilienceHealth systemsPandemic response

Identifiers

PMID37046260
PMCPMC10096103

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.