Exploring the Relationship Between Susceptibility to Health Misinformation and Vaccine Hesitancy in Poland

<b>Background/Objectives:</b> Vaccine hesitancy arises from multiple determinants, including individual beliefs, cognitive style, social norms, political identity and the information environment. In this context, health literacy, e-health literacy, susceptibility to health misinformation, conspiracy beliefs and trust in science may be relevant in mediatized societies. <b>Aim:</b> The aim of the study was to examine how susceptibility to health misinformation relates to vaccine hesitancy in Poland and how this association is influenced by health literacy, e-health literacy, trust in scientists and sociodemographic factors. <b>Methods:</b> Data came from a web-based survey conducted in December 2024 among 2200 adults aged 18-75 years. The questionnaire included validated scales of vaccine hesitancy, health literacy, e-health literacy, vaccine conspiracy beliefs and trust in scientists. The susceptibility to health misinformation was measured with ad hoc instrument based on the statement from fact-checking services. Items assessing digital media use, political sympathies, religious practices and sociodemographics were also applied. Multivariable linear regression was applied with continuous vaccine hesitancy as the dependent variable. <b>Results:</b> The model explained 57.8% of the variance in vaccine hesitancy. Susceptibility to misinformation (B = 0.11, 95% CI: 0.08-0.15) and vaccine conspiracy beliefs (B = 0.44, 95% CI: 0.41-0.46) were positive predictors, whereas trust in scientists (B = -0.20, 95% CI: -0.23--0.17) and e-health literacy (B = -0.07, 95% CI: -0.11--0.02) were protective. Older age was associated with lower hesitancy (B = -0.02, 95% CI: -0.03-0.00). Secondary education (B = -0.58) and a master's degree (B = -0.77) predicted lower hesitancy. Health literacy categories were not significantly related to vaccine hesitancy. <b>Conclusions:</b> Susceptibility to health misinformation and vaccine conspiracy beliefs were key predictors of vaccine hesitancy, outweighing the effects of health literacy and the protective impact of trust in scientists and e-health literacy, and indicating a need for interventions that combine prebunking and literacy-focused strategies with efforts to strengthen confidence in health institutions.

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Journal
Healthcare
Published
2026-02-14
DOI
https://doi.org/10.3390/healthcare14040497
Primary Topic
Misinformation and Its Impacts
Type
article
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0.00
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article

Exploring the Relationship Between Susceptibility to Health Misinformation and Vaccine Hesitancy in Poland

Kinga Kowalska‐Duplaga, Urszula Zwierczyk, Mariusz Duplaga, Magdalena Sikorska
Healthcare
Misinformation and Its Impacts
article

Exploring the Relationship Between Susceptibility to Health Misinformation and Vaccine Hesitancy in Poland

Kinga Kowalska‐Duplaga, Urszula Zwierczyk, Mariusz Duplaga, Magdalena Sikorska
article en

Abstract

<b>Background/Objectives:</b> Vaccine hesitancy arises from multiple determinants, including individual beliefs, cognitive style, social norms, political identity and the information environment. In this context, health literacy, e-health literacy, susceptibility to health misinformation, conspiracy beliefs and trust in science may be relevant in mediatized societies. <b>Aim:</b> The aim of the study was to examine how susceptibility to health misinformation relates to vaccine hesitancy in Poland and how this association is influenced by health literacy, e-health literacy, trust in scientists and sociodemographic factors. <b>Methods:</b> Data came from a web-based survey conducted in December 2024 among 2200 adults aged 18-75 years. The questionnaire included validated scales of vaccine hesitancy, health literacy, e-health literacy, vaccine conspiracy beliefs and trust in scientists. The susceptibility to health misinformation was measured with ad hoc instrument based on the statement from fact-checking services. Items assessing digital media use, political sympathies, religious practices and sociodemographics were also applied. Multivariable linear regression was applied with continuous vaccine hesitancy as the dependent variable. <b>Results:</b> The model explained 57.8% of the variance in vaccine hesitancy. Susceptibility to misinformation (B = 0.11, 95% CI: 0.08-0.15) and vaccine conspiracy beliefs (B = 0.44, 95% CI: 0.41-0.46) were positive predictors, whereas trust in scientists (B = -0.20, 95% CI: -0.23--0.17) and e-health literacy (B = -0.07, 95% CI: -0.11--0.02) were protective. Older age was associated with lower hesitancy (B = -0.02, 95% CI: -0.03-0.00). Secondary education (B = -0.58) and a master's degree (B = -0.77) predicted lower hesitancy. Health literacy categories were not significantly related to vaccine hesitancy. <b>Conclusions:</b> Susceptibility to health misinformation and vaccine conspiracy beliefs were key predictors of vaccine hesitancy, outweighing the effects of health literacy and the protective impact of trust in scientists and e-health literacy, and indicating a need for interventions that combine prebunking and literacy-focused strategies with efforts to strengthen confidence in health institutions.

HealthcareVol. 14(4)
Jagiellonian University (PL)
Quality Education
Openalex Percentile: Top 60%
Misinformation and Its Impacts
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