Evidence map›Paper›PMID 36766956›Full record

ArticleHealthcare (Basel, Switzerland)2023

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

Joshua E Rosen, Sylvia Seo Eun Chang, Spencer Williams, Joy S Lee, DaHee Han, Nidhi Agrawal, Joseph H Joo, Gary Hsieh, Katharina Reinecke, Joshua M Liao

Abstract read
In one paragraph

Article in Healthcare (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Joshua E RosenSurgical Outcomes Research Center, Department of Surgery, University of Washington, Seattle, WA 98195, USA.ORCID 0000-0002-6416-6582
Sylvia Seo Eun ChangFoster School of Business, University of Washington, Seattle, WA 98195, USA.
Spencer WilliamsDepartment of Human Centered Design & Engineering, University of Washington, Seattle, WA 98195, USA.
Joy S LeeDepartment of Medicine, University of Washington, Seattle, WA 98195, USA.
DaHee HanDesautels Faculty of Management, McGill University, Montreal, QC H3A 1G5, Canada.
Nidhi AgrawalFoster School of Business, University of Washington, Seattle, WA 98195, USA.
Joseph H JooDepartment of Medicine, University of Washington, Seattle, WA 98195, USA.ORCID 0000-0002-3073-0237
Gary HsiehDepartment of Human Centered Design & Engineering, University of Washington, Seattle, WA 98195, USA.
Katharina ReineckePaul G. Allen School of Computer Science & Engineering, University of Washington, Seattle, WA 98195, USA.
Joshua M LiaoDepartment of Medicine, University of Washington, Seattle, WA 98195, USA.

Funding

Vaccine Confidence Fund VCF-032
6 · The paper itself

Abstract

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.

Indexed as

COVID-19risk communicationrisk perceptionvaccines

Identifiers

PMID36766956
PMCPMC9914684

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.