Evidence map›Paper›PMID 33769947›Full record

ArticleJournal of medical Internet research2021

Communicating Scientific Uncertainty About the COVID-19 Pandemic: Online Experimental Study of an Uncertainty-Normalizing Strategy.

Paul K J Han, Elizabeth Scharnetzki, Aaron M Scherer, Alistair Thorpe, Christine Lary, Leo B Waterston, Angela Fagerlin, Nathan F Dieckmann

Open access · goldAbstract read
In one paragraph

Article in Journal of medical Internet research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 1 pooled it
20.8field-weighted citation impact, top 1% of its field
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

27 citing papers in PubMed, 1 synthesis or guideline pooled it, 70 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Article
  4. How Are Perceived Ambiguity and Risk Beliefs Related? Evidence From Longitudinal and Daily Diary Data.Risk analysis : an official publication of the Society for Risk Analysis · 2026
    Article
  5. Article
  6. Uncertainty communication, trust and health promotion.Health promotion and chronic disease prevention in Canada : research, policy and practice · 2025
    Article
  7. Communicating scientific uncertainty in the early stages of the COVID-19 pandemic: A message experiment.Risk analysis : an official publication of the Society for Risk Analysis · 2024
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. The perceived long-term impact of COVID-19 on OCD symptomology.Journal of obsessive-compulsive and related disorders · 2023
    Article
  15. Article
  16. Article
  17. Age and beliefs about vaccines associated with COVID-19 vaccination among US Veterans.Antimicrobial stewardship & healthcare epidemiology : ASHE · 2023
    Article
  18. Article
  19. Review
  20. 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

8 authors at 4 institutions in 1 country.

Paul K J HanCenter for Outcomes Research and Evaluation, Maine Medical Center Research Institute, Portland, ME, United States.ORCID 0000-0003-0165-1940
Elizabeth ScharnetzkiCenter for Outcomes Research and Evaluation, Maine Medical Center Research Institute, Portland, ME, United States.ORCID 0000-0002-5727-0189
Aaron M SchererDivision of General Internal Medicine, University of Iowa Carver College of Medicine, Iowa City, IA, United States.ORCID 0000-0002-4134-9300
Alistair ThorpeDepartment of Population Health Sciences, University of Utah, Salt Lake City, UT, United States.ORCID 0000-0001-5078-2715
Christine LaryCenter for Outcomes Research and Evaluation, Maine Medical Center Research Institute, Portland, ME, United States.ORCID 0000-0001-5399-9602
Leo B WaterstonCenter for Outcomes Research and Evaluation, Maine Medical Center Research Institute, Portland, ME, United States.ORCID 0000-0003-1261-0650
Angela FagerlinDepartment of Population Health Sciences, University of Utah, Salt Lake City, UT, United States.ORCID 0000-0002-9192-2777
Nathan F DieckmannSchool of Nursing, Oregon Health and Science University, Portland, OR, United States.ORCID 0000-0001-5061-9889
Maine Medical Center · USUniversity of Utah · USOregon Health & Science University · USUniversity of Iowa · US

Funding

Understanding Factors Influencing COVID-19 Testing and Vaccination in Immigrant Low-income and Homeless Populations and Testing Targeted InterventionsU54GM115516 · NIGMS · MAINEHEALTH · PI CLIFFORD JAMES ROSEN · 2017 to 2026
$51.6M
NIGMS NIH HHS U54 GM115516
6 · The paper itself

Abstract

backgroundCommunicating scientific uncertainty about public health threats such as COVID-19 is an ethically desirable task endorsed by expert guidelines on crisis communication. However, the communication of scientific uncertainty is challenging because of its potential to promote ambiguity aversion-a well-described syndrome of negative psychological responses consisting of heightened risk perceptions, emotional distress, and decision avoidance. Communication strategies that can inform the public about scientific uncertainty while mitigating ambiguity aversion are a critical unmet need.

objectiveThis study aimed to evaluate whether an "uncertainty-normalizing" communication strategy-aimed at reinforcing the expected nature of scientific uncertainty about the COVID-19 pandemic-can reduce ambiguity aversion, and to compare its effectiveness to conventional public communication strategies aimed at promoting hope and prosocial values.

methodsIn an online factorial experiment conducted from May to June 2020, a national sample of 1497 US adults read one of five versions of an informational message describing the nature, transmission, prevention, and treatment of COVID-19; the versions varied in level of expressed scientific uncertainty and supplemental focus (ie, uncertainty-normalizing, hope-promoting, and prosocial). Participants then completed measures of cognitive, emotional, and behavioral manifestations of ambiguity aversion (ie, perceived likelihood of getting COVID-19, COVID-19 worry, and intentions for COVID-19 risk-reducing behaviors and vaccination). Analyses assessed (1) the extent to which communicating uncertainty produced ambiguity-averse psychological responses; (2) the comparative effectiveness of uncertainty-normalizing, hope-promoting, and prosocial communication strategies in reducing ambiguity-averse responses; and (3) potential moderators of the effects of alternative uncertainty communication strategies.

resultsThe communication of scientific uncertainty about the COVID-19 pandemic increased perceived likelihood of getting COVID-19 and worry about COVID-19, consistent with ambiguity aversion. However, it did not affect intentions for risk-reducing behaviors or vaccination. The uncertainty-normalizing strategy reduced these aversive effects of communicating scientific uncertainty, resulting in levels of both perceived likelihood of getting COVID-19 and worry about COVID-19 that did not differ from the control message that did not communicate uncertainty. In contrast, the hope-promoting and prosocial strategies did not decrease ambiguity-averse responses to scientific uncertainty. Age and political affiliation, respectively, moderated the effects of uncertainty communication strategies on intentions for COVID-19 risk-reducing behaviors and worry about COVID-19.

conclusionsCommunicating scientific uncertainty about the COVID-19 pandemic produces ambiguity-averse cognitive and emotional, but not behavioral, responses among the general public, and an uncertainty-normalizing communication strategy reduces these responses. Normalizing uncertainty may be an effective strategy for mitigating ambiguity aversion in crisis communication efforts. More research is needed to test uncertainty-normalizing communication strategies and to elucidate the factors that moderate their effectiveness.

Indexed as

CommunicationInternet UseSARS-CoV-2UncertaintyCOVID-19FemaleHumansMalePandemicsambiguitycommunicationCOVID-19uncertaintyvaccination

Identifiers

PMID33769947
PMCPMC8064708
OpenAlexW3138327679

What OpenQuestion holds

Textmetadata
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.