Evidence map›Paper›PMID 38321479›Full record

SynthesisBMC public health2024

Assessment of global antimicrobial resistance campaigns conducted to improve public awareness and antimicrobial use behaviours: a rapid systematic review.

Ellie L Gilham, Nicola Pearce-Smith, Vanessa Carter, Diane Ashiru-Oredope

Open access · goldAbstract readSystematic Review
In one paragraph

Synthesis in BMC public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed, 1 pooled it
12.8field-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

39 citing papers in PubMed, 1 synthesis or guideline pooled it, 43 citations in OpenAlex.

  1. Pooled it
  2. Comparing the Antimicrobial Resistance Crisis to the COVID-19 Pandemic: A Randomized Public Health Messaging Experiment.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2026
    Trial
  3. Review
  4. Article
  5. Article
  6. A Codesigned Approach to Develop Tailored Antimicrobial Stewardship Strategies in Bangladesh: A Social-Ecological Systems Framework Analysis.Health expectations : an international journal of public participation in health care and health policy · 2026
    Article
  7. Article
  8. Article
  9. Review
  10. Observational
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. 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

4 authors at 2 institutions in 1 country.

Ellie L GilhamHCAI and AMR Division, Health Security Agency, London, UK.
Nicola Pearce-SmithHCAI and AMR Division, Health Security Agency, London, UK.
Vanessa CarterThe AMR Narrative, Altrincham, UK.
Diane Ashiru-OredopeHCAI and AMR Division, Health Security Agency, London, UK. diane.ashiru-oredope@ukhsa.gov.uk.
Altrincham Hospital · GBEnvironment Agency · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionPublic health campaigns with a well-defined outcome behaviour have been shown to successfully alter behaviour. However, the complex nature of antimicrobial resistance (AMR) creates challenges when evaluating campaigns aimed at raising awareness and changing behaviour.

aimsTo determine what campaigns have been conducted and which reported being effective at improving awareness of antimicrobial resistance and changing behaviour around antimicrobial use in members of the public. It also sought to determine the outcome measures studies have used to assess campaign effectiveness.

methodsA systematic search of Ovid MEDLINE and Embase, was conducted in October 2022 using a predefined search strategy. Studies which were published between 2010 and September 2022 that outlined a campaign or invention aimed at the public and focusing on AMR or antibiotic usage were eligible for inclusion and studies which solely targeted healthcare professionals (HCP) were excluded.

resultsLiterature searches retrieved 6961 results. De-duplication and screening removed 6925 articles, five articles from grey literature and reference screening were included, giving a total of 41 studies and 30 unique interventions. There was a distribution of campaigns globally with the majority run in Europe (n = 15) with most campaigns were conducted nationally (n = 14). Campaigns tended to focus on adult members of the public (n = 14) or targeted resources towards both the public and HCPs (n = 13) and predominately assessed changes in knowledge of and/or attitudes towards AMR (n = 16). Campaigns where an improvement was seen in their primary outcome measure tended to use mass media to disseminate information, targeted messaging towards a specific infection, and including the use of HCP-patient interactions. DISCUSSION: This review provides some evidence that campaigns can significantly improve outcome measures relating to AMR and antibiotic usage. Despite a lack of homogeneity between studies some common themes emerged between campaigns reported as being effective. However, the frequent use of observational study designs makes it difficult to establish causation between the campaign and changes seen in the studies outcome measures. It is important that clear evaluation processes are embedded as part of the design process for future campaigns; a campaign evaluation framework for use by campaign developers may facilitate this.

Indexed as

Anti-Bacterial AgentsDrug Resistance, BacterialHealth PromotionHumansAnti-Bacterial AgentsAMRAntibiotic resistanceAwarenessBehaviour changeHealth knowledge and attitudesPublic campaign

Identifiers

PMID38321479
PMCPMC10848528
OpenAlexW4391559622

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.