Evidence map›Paper›PMID 40301514›Full record

ArticleCommunications medicine2025

Differing terminology used to describe antimicrobial resistance can influence comprehension and subsequent behavioural intent.

Kate Grailey, Ailidh Finlayson, Bobby Stuijfzand, Clare McCrudden, Adam Jones, Elena Meyer Zu Brickwedde, Helen Brown, Sarah Huf, Hannah Behrendt, Ara Darzi

Abstract read
In one paragraph

Article in Communications medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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.

Kate GraileyThe Fleming Initiative, Institute of Global Health Innovation, Imperial College London, London, UK. k.grailey18@imperial.ac.uk.ORCID http://orcid.org/0000-0002-4104-8444
Ailidh FinlaysonThe Behavioural Insights Team, London, UK.
Bobby StuijfzandThe Behavioural Insights Team, London, UK.
Clare McCruddenThe Fleming Initiative, Institute of Global Health Innovation, Imperial College London, London, UK.
Adam JonesThe Behavioural Insights Team, London, UK.
Elena Meyer Zu BrickweddeThe Behavioural Insights Team, London, UK.
Helen BrownThe Behavioural Insights Team, London, UK.
Sarah HufThe Fleming Initiative, Institute of Global Health Innovation, Imperial College London, London, UK.
Hannah BehrendtThe Behavioural Insights Team, London, UK.
Ara DarziThe Fleming Initiative, Institute of Global Health Innovation, Imperial College London, London, UK.ORCID http://orcid.org/0000-0001-7815-7989

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDespite global campaigns, the public's understanding of antimicrobial resistance (AMR) as a global emergency remains limited. Behaviour change is crucial in preserving antimicrobials but requires improved understanding of AMR at a population level.

methodsMembers of the public co-designed intervention arms, selecting three alternatives to AMR to be evaluated in a four-armed online randomised behavioural experiment. The primary outcome was attitudes towards AMR. Secondary and exploratory outcomes included comprehension, behavioural intent and recall.

resultsIn April 2024, 4296 participants completed the online survey. Antibiotic Resistance is the most effective terminology for attitudes towards AMR (p < 3.95E-06), comprehension (p = 0.013) and recall (p < 0.0003). Both Antibiotic Resistance and The Antibiotic Crisis reduce behavioural intent to stop a course of antibiotics early.

conclusionsAlternative terminology to describe AMR can impact attitudes, comprehension and behavioural intent towards antimicrobial use. Co-designing such terminology with the public can be an effective way utilising meaningful language in public health campaigns.

Identifiers

PMID40301514
PMCPMC12041392

What OpenQuestion holds

Textmetadata
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.