Your browser doesn't support javascript.
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.
  • Reddy T; Biostatistics Research Unit, South African Medical Research Council, Durban, South Africa.
  • Kapoor NR; School of Mathematics, Statistics and Computer Science, University of KwaZulu Natal, Durban, South Africa.
  • Kubota S; Department of Global Health and Population, Harvard T.H. Chan School of Public Health, Boston, USA.
  • Doubova SV; World Health Organization, Vientiane, Lao People's Democratic Republic, Vientiane, Laos.
  • Asai D; Epidemiology and Health Services Research Unit CMN Siglo XXI, Mexican Institute of Social Security, Mexico City, Mexico.
  • Mariam DH; World Health Organization, Vientiane, Lao People's Democratic Republic, Vientiane, Laos.
  • Ayele W; School of Public Health, College of Health Sciences, Addis Ababa University, Addis Ababa, Ethiopia.
  • Mebratie AD; School of Public Health, College of Health Sciences, Addis Ababa University, Addis Ababa, Ethiopia.
  • Thermidor R; School of Public Health, College of Health Sciences, Addis Ababa University, Addis Ababa, Ethiopia.
  • Sapag JC; Studies and Planning Unit, Ministry of Public Health and Population, Port-Au-Prince, Haiti.
  • Bedregal P; Public Health Department, Faculty of Medicine, Pontificia Universidad Católica de Chile, Santiago, Chile.
  • Passi-Solar Á; Public Health Department, Faculty of Medicine, Pontificia Universidad Católica de Chile, Santiago, Chile.
  • Gordon-Strachan G; Public Health Department, Faculty of Medicine, Pontificia Universidad Católica de Chile, Santiago, Chile.
  • Dulal M; Caribbean Institute for Health Research, University of West Indies, Kingston, Jamaica.
  • Gadeka DD; Office of the Member of Federal Parliament Gagan Kumar Thapa, Kathmandu, Nepal.
  • Mehata S; School of Public Health, University of Ghana, Accra, Ghana.
  • Margozzini P; Ministry of Health, Koshi Province, Biratnagar, Nepal.
  • Leerapan B; Public Health Department, Faculty of Medicine, Pontificia Universidad Católica de Chile, Santiago, Chile.
  • Rittiphairoj T; Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand.
  • Kaewkamjornchai P; Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand.
  • Nega A; Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand.
  • Awoonor-Williams JK; School of Public Health, College of Health Sciences, Addis Ababa University, Addis Ababa, Ethiopia.
  • Kruk ME; School of Public Health, University of Ghana, Accra, Ghana.
  • Arsenault C; Department of Global Health and Population, Harvard T.H. Chan School of Public Health, Boston, USA.
BMC Health Serv Res ; 23(1): 363, 2023 Apr 12.
Article in English | MEDLINE | ID: covidwho-2302400
ABSTRACT

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.
Subject(s)
Keywords

Full text: Available Collection: International databases Database: MEDLINE Main subject: Pandemics / COVID-19 Type of study: Observational study Limits: Humans Language: English Journal: BMC Health Serv Res Journal subject: Health Services Research Year: 2023 Document Type: Article Affiliation country: S12913-023-09363-1

Similar

MEDLINE

...
LILACS

LIS


Full text: Available Collection: International databases Database: MEDLINE Main subject: Pandemics / COVID-19 Type of study: Observational study Limits: Humans Language: English Journal: BMC Health Serv Res Journal subject: Health Services Research Year: 2023 Document Type: Article Affiliation country: S12913-023-09363-1