Evidence map›Paper›PMID 37880476›Full record

ArticleCommunications medicine2023

Existing terminology related to antimicrobial resistance fails to evoke risk perceptions and be remembered.

Eva M Krockow, Kate O Cheng, John Maltby, Eoin McElroy

Abstract read
In one paragraph

Article in Communications medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

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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

4 authors.

Eva M KrockowSchool of Psychology and Vision Sciences, University of Leicester, Leicester, UK. emk12@le.ac.uk.ORCID http://orcid.org/0000-0001-8748-9897
Kate O ChengInstitute of Epidemiology and Health Care, University College London, London, UK.
John MaltbySchool of Psychology and Vision Sciences, University of Leicester, Leicester, UK.ORCID http://orcid.org/0000-0002-0621-9359
Eoin McElroySchool of Psychology, Ulster University, Coleraine, UK.

Funding

Wellcome Trust
6 · The paper itself

Abstract

backgroundAntimicrobial resistance (AMR) is a global healthcare threat promoted by all use of antibiotics. Hence, reducing overuse of antibiotics is essential. The necessary behaviour change relies on effective public health communication, but previous information campaigns-while showing some successes-have fallen short in generating a lasting increase of public awareness. A potential reason for this is AMR-related terminology, which has been criticised as inconsistent, abstract and difficult to pronounce. We report the first empirical test of word memorability and risk association for the most frequent AMR-related health terms.

methodsAcross two surveys sampling 237 US and 924 UK participants, we test people's memory for and the risk they associate with six AMR-related terms and thirty-four additional health risk terms (e.g., cancer). Participants also rate the terms on different linguistic dimensions including concreteness, familiarity, processing fluency and pronounceability.

resultsOur findings suggest that existing AMR-related health terms-particularly "AMR" and "Antimicrobial resistance"-are unsuitable for public health communication, because they score consistently low on both memorability and risk association. Out of the AMR terms, "Antibiotic resistance" and-to a lesser extent-"Drug-resistant infections" perform best. Regression analyses suggest that linguistic attributes (e.g., familiarity, processing fluency, pronounceability) are predictors of the terms' risk association.

conclusionsOur findings highlight an urgent need to rename AMR with a memorable term that effectively signals the existential threat of AMR and thereby motivates a change in antibiotic use. The success of the revised term is likely to depend, at least partially, on its linguistic attributes.

Identifiers

PMID37880476
PMCPMC10600229

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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.