Visualising Uncertainty of Vaccine Data

As healthcare data grows more complex, effectively conveying the inherent uncertainties in medical research and clinical decision-making is crucial to avoid misinterpretation. This study explores visualising the effectiveness and safety of the herpes zoster vaccine, focusing on conveying associated uncertainties to the general public. Two visualisation formats (static and interactive) were developed. A questionnaire-based evaluation assessed their effectiveness and impact on vaccination intentions. Both formats effectively conveyed data, with most participants accurately interpreting the information. Vaccination intentions generally declined after viewing the visualisations, indicating that presenting comprehensive information informs decision-making. This study offers a design approach for visualising vaccine data uncertainties, which has the potential to enhance healthcare decision quality regarding vaccination.

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Publication Details

Journal
Studies in health technology and informatics
Published
2025-05-15
DOI
https://doi.org/10.3233/shti250387
Primary Topic
Vaccine Coverage and Hesitancy
Type
article
Field-Weighted Citation Impact
0.00
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article

Visualising Uncertainty of Vaccine Data

Peter Donnelly, Areti Manataki, Qianhui Lin
Studies in health technology and informatics
Vaccine Coverage and Hesitancy
article

Visualising Uncertainty of Vaccine Data

Peter Donnelly, Areti Manataki, Qianhui Lin
article en

Abstract

As healthcare data grows more complex, effectively conveying the inherent uncertainties in medical research and clinical decision-making is crucial to avoid misinterpretation. This study explores visualising the effectiveness and safety of the herpes zoster vaccine, focusing on conveying associated uncertainties to the general public. Two visualisation formats (static and interactive) were developed. A questionnaire-based evaluation assessed their effectiveness and impact on vaccination intentions. Both formats effectively conveyed data, with most participants accurately interpreting the information. Vaccination intentions generally declined after viewing the visualisations, indicating that presenting comprehensive information informs decision-making. This study offers a design approach for visualising vaccine data uncertainties, which has the potential to enhance healthcare decision quality regarding vaccination.

Studies in health technology and informaticsVol. 327
University of St Andrews (GB)
Peace, Justice and strong institutions
Openalex Percentile: Top 79%
Vaccine Coverage and Hesitancy
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Visualising Uncertainty of Vaccine Data — Peter Donnelly, Areti Manataki, et al. · Studies in health technology and informatics (2025) | TGRS Research Map | TGRS