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Association between Risk Communication Format and Perceived Risk of Adverse Events after COVID-19 Vaccination among US Adults

The format used to communicate probability—verbal versus numerical descriptors—can impact risk perceptions and behaviors. This issue is salient for the Coronavirus disease 2019 (COVID-19), where concerns about vaccine-related risks may reduce uptake and verbal descriptors have been widely used by pu...

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Autores principales: Rosen, Joshua E., Chang, Sylvia Seo Eun, Williams, Spencer, Lee, Joy S., Han, DaHee, Agrawal, Nidhi, Joo, Joseph H., Hsieh, Gary, Reinecke, Katharina, Liao, Joshua M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9914684/
https://www.ncbi.nlm.nih.gov/pubmed/36766956
http://dx.doi.org/10.3390/healthcare11030380
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author Rosen, Joshua E.
Chang, Sylvia Seo Eun
Williams, Spencer
Lee, Joy S.
Han, DaHee
Agrawal, Nidhi
Joo, Joseph H.
Hsieh, Gary
Reinecke, Katharina
Liao, Joshua M.
author_facet Rosen, Joshua E.
Chang, Sylvia Seo Eun
Williams, Spencer
Lee, Joy S.
Han, DaHee
Agrawal, Nidhi
Joo, Joseph H.
Hsieh, Gary
Reinecke, Katharina
Liao, Joshua M.
author_sort Rosen, Joshua E.
collection PubMed
description The format used to communicate probability—verbal versus numerical descriptors—can impact risk perceptions and behaviors. This issue is salient for the Coronavirus disease 2019 (COVID-19), where concerns about vaccine-related risks may reduce uptake and verbal descriptors have been widely used by public health, news organizations and on social media, to convey risk. Because the effect of risk-communication format on perceived COVID-19 vaccine-related risks remains unknown, we conducted an online randomized survey among 939 US adults. Participants were given risk information, using verbal or numerical descriptors and were asked to report their perceived risk of experiencing headache, fever, fatigue or myocarditis from COVID-19 vaccine. Associations between risk communication format and perceived risk were assessed using multivariable regression. Compared to numerical estimates, verbal descriptors were associated with higher perceived risk of headache (β = 5.0 percentage points, 95% CI = 2.0–8.1), fever (β = 27 percentage points, 95% CI = 23–30), fatigue (β = 4.9 percentage points, 95% = CI 1.8–8.0) and myocarditis (β = 4.6 percentage points, 95% CI = 2.1–7.2), as well as greater variability in risk perceptions. Social media influence was associated with differences in risk perceptions for myocarditis, but not side effects. Verbal descriptors may lead to greater, more inaccurate and variable vaccine-related risk perceptions compared to numerical descriptors.
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spelling pubmed-99146842023-02-11 Association between Risk Communication Format and Perceived Risk of Adverse Events after COVID-19 Vaccination among US Adults Rosen, Joshua E. Chang, Sylvia Seo Eun Williams, Spencer Lee, Joy S. Han, DaHee Agrawal, Nidhi Joo, Joseph H. Hsieh, Gary Reinecke, Katharina Liao, Joshua M. Healthcare (Basel) Article The format used to communicate probability—verbal versus numerical descriptors—can impact risk perceptions and behaviors. This issue is salient for the Coronavirus disease 2019 (COVID-19), where concerns about vaccine-related risks may reduce uptake and verbal descriptors have been widely used by public health, news organizations and on social media, to convey risk. Because the effect of risk-communication format on perceived COVID-19 vaccine-related risks remains unknown, we conducted an online randomized survey among 939 US adults. Participants were given risk information, using verbal or numerical descriptors and were asked to report their perceived risk of experiencing headache, fever, fatigue or myocarditis from COVID-19 vaccine. Associations between risk communication format and perceived risk were assessed using multivariable regression. Compared to numerical estimates, verbal descriptors were associated with higher perceived risk of headache (β = 5.0 percentage points, 95% CI = 2.0–8.1), fever (β = 27 percentage points, 95% CI = 23–30), fatigue (β = 4.9 percentage points, 95% = CI 1.8–8.0) and myocarditis (β = 4.6 percentage points, 95% CI = 2.1–7.2), as well as greater variability in risk perceptions. Social media influence was associated with differences in risk perceptions for myocarditis, but not side effects. Verbal descriptors may lead to greater, more inaccurate and variable vaccine-related risk perceptions compared to numerical descriptors. MDPI 2023-01-29 /pmc/articles/PMC9914684/ /pubmed/36766956 http://dx.doi.org/10.3390/healthcare11030380 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Rosen, Joshua E.
Chang, Sylvia Seo Eun
Williams, Spencer
Lee, Joy S.
Han, DaHee
Agrawal, Nidhi
Joo, Joseph H.
Hsieh, Gary
Reinecke, Katharina
Liao, Joshua M.
Association between Risk Communication Format and Perceived Risk of Adverse Events after COVID-19 Vaccination among US Adults
title Association between Risk Communication Format and Perceived Risk of Adverse Events after COVID-19 Vaccination among US Adults
title_full Association between Risk Communication Format and Perceived Risk of Adverse Events after COVID-19 Vaccination among US Adults
title_fullStr Association between Risk Communication Format and Perceived Risk of Adverse Events after COVID-19 Vaccination among US Adults
title_full_unstemmed Association between Risk Communication Format and Perceived Risk of Adverse Events after COVID-19 Vaccination among US Adults
title_short Association between Risk Communication Format and Perceived Risk of Adverse Events after COVID-19 Vaccination among US Adults
title_sort association between risk communication format and perceived risk of adverse events after covid-19 vaccination among us adults
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9914684/
https://www.ncbi.nlm.nih.gov/pubmed/36766956
http://dx.doi.org/10.3390/healthcare11030380
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