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Trust in official information as a key predictor of COVID-19 vaccine acceptance: evidence from a Czech longitudinal survey study
D. Grygarová, J. Kožený, L. Tišanská, M. Havlík, J. Horáček
Language English Country England, Great Britain
Document type Journal Article
Grant support
20-13458S
Grantová Agentura České Republiky
20-13458S
Grantová Agentura České Republiky
20-13458S
Grantová Agentura České Republiky
20-13458S
Grantová Agentura České Republiky
20-13458S
Grantová Agentura České Republiky
NU22-D-132
Ministerstvo Zdravotnictví Ceské Republiky
NU22-D-132
Ministerstvo Zdravotnictví Ceské Republiky
NU22-D-132
Ministerstvo Zdravotnictví Ceské Republiky
NU22-D-132
Ministerstvo Zdravotnictví Ceské Republiky
NU22-D-132
Ministerstvo Zdravotnictví Ceské Republiky
NLK
BioMedCentral
from 2001-12-01
BioMedCentral Open Access
from 2001
Directory of Open Access Journals
from 2001
Free Medical Journals
from 2001
PubMed Central
from 2001
Europe PubMed Central
from 2001
ProQuest Central
from 2009-01-01
Open Access Digital Library
from 2001-01-01
Open Access Digital Library
from 2001-01-01
Medline Complete (EBSCOhost)
from 2001-01-01
Health & Medicine (ProQuest)
from 2009-01-01
Public Health Database (ProQuest)
from 2009-01-01
ROAD: Directory of Open Access Scholarly Resources
from 2001
Springer Nature OA/Free Journals
from 2001-12-01
- MeSH
- COVID-19 * prevention & control MeSH
- Adult MeSH
- Trust * MeSH
- Middle Aged MeSH
- Humans MeSH
- Longitudinal Studies MeSH
- Adolescent MeSH
- Young Adult MeSH
- Vaccination Hesitancy * psychology statistics & numerical data MeSH
- Patient Acceptance of Health Care statistics & numerical data psychology MeSH
- Surveys and Questionnaires MeSH
- Aged MeSH
- COVID-19 Vaccines * administration & dosage MeSH
- Health Knowledge, Attitudes, Practice MeSH
- Check Tag
- Adult MeSH
- Middle Aged MeSH
- Humans MeSH
- Adolescent MeSH
- Young Adult MeSH
- Male MeSH
- Aged MeSH
- Female MeSH
- Publication type
- Journal Article MeSH
- Geographicals
- Czech Republic MeSH
BACKGROUND: COVID-19 vaccine hesitancy (CVH) has become a critical public health issue, with attitudes toward vaccines emerging as a broader social issue. Public debates surrounding vaccines have expanded beyond health considerations to include issues of trust, misinformation, and societal values, making CVH a complex challenge that requires multifaceted solutions. Analyzing the various determinants of CVH is crucial for developing targeted strategies to improve vaccine acceptance in specific countries and to better prepare for future public health crises. However, no study to date has evaluated the determinants of CVH in a representative sample of the Czech population. METHODS: A multiple hierarchical logistic regression was used to analyze the associations between various sociodemographic, trust and attitudinal factors with COVID-19 vaccine acceptance (CVA). The analysis utilized survey data from a representative longitudinal sample of the Czech population (N = 1,407). RESULTS: After controlling for all other factors, trust in official statements from the Ministry of Health was the strongest predictor of CVA, followed by prior positive attitudes toward COVID-19 vaccination (prior to vaccine availability) and older age. Lower trust in COVID-19 misinformation also predicted CVA, while lower interest in COVID-19 media content was associated with CVA. Higher income initially predicted CVA but lost statistical significance after controlling for other variables. Interestingly, education did not play a role in CVA. CONCLUSION: CVH was primarily driven by distrust in government-provided information. Notably, vaccine refusers demonstrated a higher motivation to seek information on the topic, offering a promising opportunity for health policy interventions. Our findings suggest that strategies to reduce CVH should prioritize building trust in state institutions and effectively combating misinformation.
References provided by Crossref.org
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- $a BACKGROUND: COVID-19 vaccine hesitancy (CVH) has become a critical public health issue, with attitudes toward vaccines emerging as a broader social issue. Public debates surrounding vaccines have expanded beyond health considerations to include issues of trust, misinformation, and societal values, making CVH a complex challenge that requires multifaceted solutions. Analyzing the various determinants of CVH is crucial for developing targeted strategies to improve vaccine acceptance in specific countries and to better prepare for future public health crises. However, no study to date has evaluated the determinants of CVH in a representative sample of the Czech population. METHODS: A multiple hierarchical logistic regression was used to analyze the associations between various sociodemographic, trust and attitudinal factors with COVID-19 vaccine acceptance (CVA). The analysis utilized survey data from a representative longitudinal sample of the Czech population (N = 1,407). RESULTS: After controlling for all other factors, trust in official statements from the Ministry of Health was the strongest predictor of CVA, followed by prior positive attitudes toward COVID-19 vaccination (prior to vaccine availability) and older age. Lower trust in COVID-19 misinformation also predicted CVA, while lower interest in COVID-19 media content was associated with CVA. Higher income initially predicted CVA but lost statistical significance after controlling for other variables. Interestingly, education did not play a role in CVA. CONCLUSION: CVH was primarily driven by distrust in government-provided information. Notably, vaccine refusers demonstrated a higher motivation to seek information on the topic, offering a promising opportunity for health policy interventions. Our findings suggest that strategies to reduce CVH should prioritize building trust in state institutions and effectively combating misinformation.
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