Health system quality and COVID-19 vaccination: a cross-sectional analysis in 14 countries

Autores
Arsenault, Catherine; Lewis, Todd P.; Kapoor, Neena R.; Okiro, Emelda A.; Leslie, Hannah H.; Armeni, Patrizio; Jarhyan, Prashant; Doubova, Svetlana V.; Wright, Katherine D.; Aryal, Amit; Kounnavong, Sengchanh; Mohan, Sailesh; Odipo, Emily; Lee, Hwa Young; Shin, Jeonghyun; Ayele, Wondimu; Medina-Ranilla, Jesús; Espinoza-Pajuelo, Laura; Derseh Mebratie, Anagaw; Garcia Elorrio, Ezequiel
Año de publicación
2024
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
The social and behavioural determinants of COVID-19 vaccination have been described previously. However, little is known about how vaccinated people use and rate their health system. We used surveys conducted in 14 countries to study the health system correlates of COVID-19 vaccination. Country-specific logistic regression models were adjusted for respondent age, education, income, chronic illness, history of COVID-19, urban residence, and minority ethnic, racial, or linguistic group. Estimates were summarised across countries using random effects meta-analysis. Vaccination coverage with at least two or three doses ranged from 29% in India to 85% in Peru. Greater health-care use, having a regular and high-quality provider, and receiving other preventive health services were positively associated with vaccination. Confidence in the health system and government also increased the odds of vaccination. By contrast, having unmet health-care needs or experiencing discrimination or a medical mistake decreased the odds of vaccination. Associations between health system predictors and vaccination tended to be stronger in high-income countries and in countries with the most COVID-19-related deaths. Access to quality health systems might affect vaccine decisions. Building strong primary care systems and ensuring a baseline level of quality that is affordable for all should be central to pandemic preparedness strategies.
Fil: Arsenault, Catherine. The George Washington University; Estados Unidos
Fil: Lewis, Todd P.. Harvard University. Harvard School of Public Health; Estados Unidos
Fil: Kapoor, Neena R.. Harvard University. Harvard School of Public Health; Estados Unidos
Fil: Okiro, Emelda A.. No especifíca;
Fil: Leslie, Hannah H.. University of California at San Diego; Estados Unidos
Fil: Armeni, Patrizio. Bocconi University; Italia
Fil: Jarhyan, Prashant. No especifíca;
Fil: Doubova, Svetlana V.. Instituto Mexicano del Seguro Social; México
Fil: Wright, Katherine D.. Harvard University. Harvard School of Public Health; Estados Unidos
Fil: Aryal, Amit. No especifíca;
Fil: Kounnavong, Sengchanh. No especifíca;
Fil: Mohan, Sailesh. No especifíca;
Fil: Odipo, Emily. No especifíca;
Fil: Lee, Hwa Young. The Catholic University Of Korea; Corea del Sur
Fil: Shin, Jeonghyun. Seoul National University College Of Medicine; Corea del Sur
Fil: Ayele, Wondimu. Addis Ababa University; Etiopía
Fil: Medina-Ranilla, Jesús. Universidad Peruana Cayetano Heredia;
Fil: Espinoza-Pajuelo, Laura. Universidad Peruana Cayetano Heredia;
Fil: Derseh Mebratie, Anagaw. Addis Ababa University; Etiopía
Fil: Garcia Elorrio, Ezequiel. Instituto de Efectividad Clínica y Sanitaria; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Materia
Calidad de atencion
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/239774
Acceder
id CONICETDig_091389948248c68fcc2fa7442203f988
oai_identifier_str oai:ri.conicet.gov.ar:11336/239774
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Health system quality and COVID-19 vaccination: a cross-sectional analysis in 14 countriesArsenault, CatherineLewis, Todd P.Kapoor, Neena R.Okiro, Emelda A.Leslie, Hannah H.Armeni, PatrizioJarhyan, PrashantDoubova, Svetlana V.Wright, Katherine D.Aryal, AmitKounnavong, SengchanhMohan, SaileshOdipo, EmilyLee, Hwa YoungShin, JeonghyunAyele, WondimuMedina-Ranilla, JesúsEspinoza-Pajuelo, LauraDerseh Mebratie, AnagawGarcia Elorrio, EzequielCalidad de atencionhttps://purl.org/becyt/ford/3.5https://purl.org/becyt/ford/3The social and behavioural determinants of COVID-19 vaccination have been described previously. However, little is known about how vaccinated people use and rate their health system. We used surveys conducted in 14 countries to study the health system correlates of COVID-19 vaccination. Country-specific logistic regression models were adjusted for respondent age, education, income, chronic illness, history of COVID-19, urban residence, and minority ethnic, racial, or linguistic group. Estimates were summarised across countries using random effects meta-analysis. Vaccination coverage with at least two or three doses ranged from 29% in India to 85% in Peru. Greater health-care use, having a regular and high-quality provider, and receiving other preventive health services were positively associated with vaccination. Confidence in the health system and government also increased the odds of vaccination. By contrast, having unmet health-care needs or experiencing discrimination or a medical mistake decreased the odds of vaccination. Associations between health system predictors and vaccination tended to be stronger in high-income countries and in countries with the most COVID-19-related deaths. Access to quality health systems might affect vaccine decisions. Building strong primary care systems and ensuring a baseline level of quality that is affordable for all should be central to pandemic preparedness strategies.Fil: Arsenault, Catherine. The George Washington University; Estados UnidosFil: Lewis, Todd P.. Harvard University. Harvard School of Public Health; Estados UnidosFil: Kapoor, Neena R.. Harvard University. Harvard School of Public Health; Estados UnidosFil: Okiro, Emelda A.. No especifíca;Fil: Leslie, Hannah H.. University of California at San Diego; Estados UnidosFil: Armeni, Patrizio. Bocconi University; ItaliaFil: Jarhyan, Prashant. No especifíca;Fil: Doubova, Svetlana V.. Instituto Mexicano del Seguro Social; MéxicoFil: Wright, Katherine D.. Harvard University. Harvard School of Public Health; Estados UnidosFil: Aryal, Amit. No especifíca;Fil: Kounnavong, Sengchanh. No especifíca;Fil: Mohan, Sailesh. No especifíca;Fil: Odipo, Emily. No especifíca;Fil: Lee, Hwa Young. The Catholic University Of Korea; Corea del SurFil: Shin, Jeonghyun. Seoul National University College Of Medicine; Corea del SurFil: Ayele, Wondimu. Addis Ababa University; EtiopíaFil: Medina-Ranilla, Jesús. Universidad Peruana Cayetano Heredia;Fil: Espinoza-Pajuelo, Laura. Universidad Peruana Cayetano Heredia;Fil: Derseh Mebratie, Anagaw. Addis Ababa University; EtiopíaFil: Garcia Elorrio, Ezequiel. Instituto de Efectividad Clínica y Sanitaria; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaElsevier2024-05info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/239774Arsenault, Catherine; Lewis, Todd P.; Kapoor, Neena R.; Okiro, Emelda A.; Leslie, Hannah H.; et al.; Health system quality and COVID-19 vaccination: a cross-sectional analysis in 14 countries; Elsevier; The Lancet Global Health; 12; 1; 5-2024; e156-e1652214-109XCONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1016/S2214-109X(23)00490-4info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T09:39:17Zoai:ri.conicet.gov.ar:11336/239774instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 09:39:17.754CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Health system quality and COVID-19 vaccination: a cross-sectional analysis in 14 countries
title Health system quality and COVID-19 vaccination: a cross-sectional analysis in 14 countries
spellingShingle Health system quality and COVID-19 vaccination: a cross-sectional analysis in 14 countries
Arsenault, Catherine
Calidad de atencion
title_short Health system quality and COVID-19 vaccination: a cross-sectional analysis in 14 countries
title_full Health system quality and COVID-19 vaccination: a cross-sectional analysis in 14 countries
title_fullStr Health system quality and COVID-19 vaccination: a cross-sectional analysis in 14 countries
title_full_unstemmed Health system quality and COVID-19 vaccination: a cross-sectional analysis in 14 countries
title_sort Health system quality and COVID-19 vaccination: a cross-sectional analysis in 14 countries
dc.creator.none.fl_str_mv Arsenault, Catherine
Lewis, Todd P.
Kapoor, Neena R.
Okiro, Emelda A.
Leslie, Hannah H.
Armeni, Patrizio
Jarhyan, Prashant
Doubova, Svetlana V.
Wright, Katherine D.
Aryal, Amit
Kounnavong, Sengchanh
Mohan, Sailesh
Odipo, Emily
Lee, Hwa Young
Shin, Jeonghyun
Ayele, Wondimu
Medina-Ranilla, Jesús
Espinoza-Pajuelo, Laura
Derseh Mebratie, Anagaw
Garcia Elorrio, Ezequiel
author Arsenault, Catherine
author_facet Arsenault, Catherine
Lewis, Todd P.
Kapoor, Neena R.
Okiro, Emelda A.
Leslie, Hannah H.
Armeni, Patrizio
Jarhyan, Prashant
Doubova, Svetlana V.
Wright, Katherine D.
Aryal, Amit
Kounnavong, Sengchanh
Mohan, Sailesh
Odipo, Emily
Lee, Hwa Young
Shin, Jeonghyun
Ayele, Wondimu
Medina-Ranilla, Jesús
Espinoza-Pajuelo, Laura
Derseh Mebratie, Anagaw
Garcia Elorrio, Ezequiel
author_role author
author2 Lewis, Todd P.
Kapoor, Neena R.
Okiro, Emelda A.
Leslie, Hannah H.
Armeni, Patrizio
Jarhyan, Prashant
Doubova, Svetlana V.
Wright, Katherine D.
Aryal, Amit
Kounnavong, Sengchanh
Mohan, Sailesh
Odipo, Emily
Lee, Hwa Young
Shin, Jeonghyun
Ayele, Wondimu
Medina-Ranilla, Jesús
Espinoza-Pajuelo, Laura
Derseh Mebratie, Anagaw
Garcia Elorrio, Ezequiel
author2_role author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv Calidad de atencion
topic Calidad de atencion
purl_subject.fl_str_mv https://purl.org/becyt/ford/3.5
https://purl.org/becyt/ford/3
dc.description.none.fl_txt_mv The social and behavioural determinants of COVID-19 vaccination have been described previously. However, little is known about how vaccinated people use and rate their health system. We used surveys conducted in 14 countries to study the health system correlates of COVID-19 vaccination. Country-specific logistic regression models were adjusted for respondent age, education, income, chronic illness, history of COVID-19, urban residence, and minority ethnic, racial, or linguistic group. Estimates were summarised across countries using random effects meta-analysis. Vaccination coverage with at least two or three doses ranged from 29% in India to 85% in Peru. Greater health-care use, having a regular and high-quality provider, and receiving other preventive health services were positively associated with vaccination. Confidence in the health system and government also increased the odds of vaccination. By contrast, having unmet health-care needs or experiencing discrimination or a medical mistake decreased the odds of vaccination. Associations between health system predictors and vaccination tended to be stronger in high-income countries and in countries with the most COVID-19-related deaths. Access to quality health systems might affect vaccine decisions. Building strong primary care systems and ensuring a baseline level of quality that is affordable for all should be central to pandemic preparedness strategies.
Fil: Arsenault, Catherine. The George Washington University; Estados Unidos
Fil: Lewis, Todd P.. Harvard University. Harvard School of Public Health; Estados Unidos
Fil: Kapoor, Neena R.. Harvard University. Harvard School of Public Health; Estados Unidos
Fil: Okiro, Emelda A.. No especifíca;
Fil: Leslie, Hannah H.. University of California at San Diego; Estados Unidos
Fil: Armeni, Patrizio. Bocconi University; Italia
Fil: Jarhyan, Prashant. No especifíca;
Fil: Doubova, Svetlana V.. Instituto Mexicano del Seguro Social; México
Fil: Wright, Katherine D.. Harvard University. Harvard School of Public Health; Estados Unidos
Fil: Aryal, Amit. No especifíca;
Fil: Kounnavong, Sengchanh. No especifíca;
Fil: Mohan, Sailesh. No especifíca;
Fil: Odipo, Emily. No especifíca;
Fil: Lee, Hwa Young. The Catholic University Of Korea; Corea del Sur
Fil: Shin, Jeonghyun. Seoul National University College Of Medicine; Corea del Sur
Fil: Ayele, Wondimu. Addis Ababa University; Etiopía
Fil: Medina-Ranilla, Jesús. Universidad Peruana Cayetano Heredia;
Fil: Espinoza-Pajuelo, Laura. Universidad Peruana Cayetano Heredia;
Fil: Derseh Mebratie, Anagaw. Addis Ababa University; Etiopía
Fil: Garcia Elorrio, Ezequiel. Instituto de Efectividad Clínica y Sanitaria; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
description The social and behavioural determinants of COVID-19 vaccination have been described previously. However, little is known about how vaccinated people use and rate their health system. We used surveys conducted in 14 countries to study the health system correlates of COVID-19 vaccination. Country-specific logistic regression models were adjusted for respondent age, education, income, chronic illness, history of COVID-19, urban residence, and minority ethnic, racial, or linguistic group. Estimates were summarised across countries using random effects meta-analysis. Vaccination coverage with at least two or three doses ranged from 29% in India to 85% in Peru. Greater health-care use, having a regular and high-quality provider, and receiving other preventive health services were positively associated with vaccination. Confidence in the health system and government also increased the odds of vaccination. By contrast, having unmet health-care needs or experiencing discrimination or a medical mistake decreased the odds of vaccination. Associations between health system predictors and vaccination tended to be stronger in high-income countries and in countries with the most COVID-19-related deaths. Access to quality health systems might affect vaccine decisions. Building strong primary care systems and ensuring a baseline level of quality that is affordable for all should be central to pandemic preparedness strategies.
publishDate 2024
dc.date.none.fl_str_mv 2024-05
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/239774
Arsenault, Catherine; Lewis, Todd P.; Kapoor, Neena R.; Okiro, Emelda A.; Leslie, Hannah H.; et al.; Health system quality and COVID-19 vaccination: a cross-sectional analysis in 14 countries; Elsevier; The Lancet Global Health; 12; 1; 5-2024; e156-e165
2214-109X
CONICET Digital
CONICET
url http://hdl.handle.net/11336/239774
identifier_str_mv Arsenault, Catherine; Lewis, Todd P.; Kapoor, Neena R.; Okiro, Emelda A.; Leslie, Hannah H.; et al.; Health system quality and COVID-19 vaccination: a cross-sectional analysis in 14 countries; Elsevier; The Lancet Global Health; 12; 1; 5-2024; e156-e165
2214-109X
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1016/S2214-109X(23)00490-4
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
_version_ 1844613242726383616
score 13.070432

Publicaciones similares