Evidence map›Paper›PMID 41964533›Full record

Trial reportClinical infectious diseases : an official publication of the Infectious Diseases Society of America2026

Comparing the Antimicrobial Resistance Crisis to the COVID-19 Pandemic: A Randomized Public Health Messaging Experiment.

Alistair Thorpe, Rachael A Lee, Julia E Szymczak, Madeline C Farrell, Isabelle Palmer, William B Petty, Tyler Henderson, Angela Fagerlin, Valerie M Vaughn

Abstract readRandomized Controlled TrialComparative Study
In one paragraph

Trial report in Clinical infectious diseases : an official publication of the Infectious Diseases Society of America, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Alistair ThorpeDepartment of Population Health Sciences, Spencer Fox Eccles School of Medicine at University of Utah, Salt Lake City, Utah, USA.ORCID 0000-0001-5078-2715
Rachael A LeeDepartment of Medicine, Division of Infectious Diseases, UAB School of Medicine, Birmingham, Alabama, USA.ORCID 0000-0002-9701-8156
Julia E SzymczakDepartment of Internal Medicine, Division of Epidemiology, Spencer Fox Eccles School of Medicine at University of Utah, Salt Lake City, Utah, USA.ORCID 0000-0002-3230-8670
Madeline C FarrellORCID 0009-0006-9759-618X
Isabelle PalmerSpencer Fox Eccles School of Medicine at University of Utah, Salt Lake City, Utah, USA.ORCID 0009-0007-7756-5244
William B PettyDepartment of Population Health Sciences, Spencer Fox Eccles School of Medicine at University of Utah, Salt Lake City, Utah, USA.ORCID 0009-0003-8646-6361
Tyler HendersonDepartment of Psychology, Morehouse College, Atlanta, Georgia, USA.ORCID 0009-0000-8316-5617
Angela FagerlinDepartment of Population Health Sciences, Spencer Fox Eccles School of Medicine at University of Utah, Salt Lake City, Utah, USA.ORCID 0000-0002-9192-2777
Valerie M VaughnDepartment of Internal Medicine, Spencer Fox Eccles School of Medicine at University of Utah, Salt Lake City, Utah, USA.ORCID 0000-0003-4362-7842

Funding

American Heart AssociationCareer Development Award 25CDA1445490Department of MedicineDepartments of Population Health Sciences and Internal MedicineDr. Fagerlin's Jon M. Huntsman Presidential Endowed ChairDr. Lee's Internal Research FundsDr. Vaughn's Internal Research FundsUniversity of Alabama at BirminghamUniversity of Utah
6 · The paper itself

Abstract

backgroundAntimicrobial resistance (AMR) is an urgent health threat. Effective communication about AMR and avoiding antibiotics for viral infections is a public health priority. Here, we evaluated whether comparing the AMR crisis to the coronavirus disease 2019 (COVID-19) pandemic could enhance public understanding of AMR and reduce intentions to seek unnecessary antibiotics.

methodsIn this randomized online survey (March-April 2024), US adults were randomized to receive 1 of 3 messages: (1) written message describing the AMR crisis (control); (2) written message comparing AMR to the COVID-19 pandemic; or (3) a series of poster-like graphics comparing AMR to the COVID-19 pandemic. Respondents then read a scenario describing a viral respiratory infection (where antibiotics are not clinically indicated) and asked to indicate whether they would (1) respond by visiting a primary care clinician and (2) desire to take antibiotics.

resultsThe final sample (N = 972, completion = 90%) had a mean age of 42 years and 58% identified as female. No statistically significant differences were found between messages for intention to visit a primary care clinician (P = .625) or desire to take antibiotics (P = .157). Across all respondents, older age and independent/third-party political affiliation were associated with lower antibiotic-seeking intentions, whereas medical maximizing, prior antibiotic use, being vaccinated for COVID-19, and pride in that status were associated with higher intentions.

conclusionsComparing the threat of AMR to the COVID-19 pandemic did not reduce antibiotic-seeking intentions, indicating this analogy may not be an effective messaging strategy. Adults with greater care-seeking behaviors and preferences were more likely to report antibiotic-seeking intentions.

Indexed as

Anti-Bacterial AgentsCOVID-19Drug Resistance, MicrobialHealth CommunicationPublic HealthAdultFemaleHumansMaleMedia ExposureMiddle AgedPandemicsSARS-CoV-2Surveys and QuestionnairesUnited StatesAnti-Bacterial Agentsantimicrobial resistanceCOVID-19health communicationpublic healthrisk perceptions

Identifiers

PMID41964533
PMCPMC13393112

What OpenQuestion holds

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LicenceCC BY
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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.