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

Copyright © 2024 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license. Published by Elsevier Ltd.. All rights reserved..

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.

Medienart:

E-Artikel

Erscheinungsjahr:

2024

2023

Erschienen:

2024

Enthalten in:

Zur Gesamtaufnahme - volume:12

Enthalten in:

The Lancet. Global health - 12(2023), 1 vom: 13. Jan., Seite e156-e165

Sprache:

Englisch

Beteiligte Personen:

Arsenault, Catherine [VerfasserIn]
Lewis, Todd P [VerfasserIn]
Kapoor, Neena R [VerfasserIn]
Okiro, Emelda A [VerfasserIn]
Leslie, Hannah H [VerfasserIn]
Armeni, Patrizio [VerfasserIn]
Jarhyan, Prashant [VerfasserIn]
Doubova, Svetlana V [VerfasserIn]
Wright, Katherine D [VerfasserIn]
Aryal, Amit [VerfasserIn]
Kounnavong, Sengchanh [VerfasserIn]
Mohan, Sailesh [VerfasserIn]
Odipo, Emily [VerfasserIn]
Lee, Hwa-Young [VerfasserIn]
Shin, Jeonghyun [VerfasserIn]
Ayele, Wondimu [VerfasserIn]
Medina-Ranilla, Jesús [VerfasserIn]
Espinoza-Pajuelo, Laura [VerfasserIn]
Derseh Mebratie, Anagaw [VerfasserIn]
García Elorrio, Ezequiel [VerfasserIn]
Mazzoni, Agustina [VerfasserIn]
Oh, Juhwan [VerfasserIn]
SteelFisher, Gillian K [VerfasserIn]
Tarricone, Rosanna [VerfasserIn]
Kruk, Margaret E [VerfasserIn]

Links:

Volltext

Themen:

COVID-19 Vaccines
Journal Article
Meta-Analysis
Review
Vaccines

Anmerkungen:

Date Completed 16.12.2023

Date Revised 16.12.2023

published: Print-Electronic

Citation Status MEDLINE

doi:

10.1016/S2214-109X(23)00490-4

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM365875821