Evidence map›Paper›PMID 38870108›Full record

ArticlePLOS global public health2024

Developing a logic model for communication-based interventions on antimicrobial resistance (AMR).

Jennika Virhia, Emma Laurie, Tiziana Lembo, Jeremiah Seni, Roxana Pollack, Alicia Davis, Siana Mapunjo, Stephen E Mshana, Blandina T Mmbaga, Shona Hilton

Abstract read
In one paragraph

Article in PLOS global public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Jennika VirhiaMRC/CSO School of Social & Public Health Sciences Unit/School of Health and Wellbeing, University of Glasgow, Glasgow, United Kingdom.ORCID https://orcid.org/0000-0002-9068-7859
Emma LaurieSchool of Geographical and Earth Sciences, University of Glasgow, Glasgow, United Kingdom.ORCID https://orcid.org/0000-0001-6208-2011
Tiziana LemboSchool of Biodiversity, One Health & Veterinary Medicine, University of Glasgow, Glasgow, United Kingdom.ORCID https://orcid.org/0000-0002-6405-1849
Jeremiah SeniDepartment of Microbiology and Immunology, Weill-Bugando School of Medicine, Catholic University of Health and Allied Sciences, Bugando Medical Centre, Mwanza, Tanzania.ORCID https://orcid.org/0000-0003-2420-5329
Roxana PollackMRC/CSO School of Social & Public Health Sciences Unit/School of Health and Wellbeing, University of Glasgow, Glasgow, United Kingdom.ORCID https://orcid.org/0000-0001-7286-8106
Alicia DavisSchool of Social and Political Sciences/School of Health and Wellbeing, University of Glasgow, Glasgow, United Kingdom.ORCID https://orcid.org/0000-0003-1347-7708
Siana MapunjoNational Institute for Medical Research and Ministry of Health, Dodoma, Tanzania.
Stephen E MshanaDepartment of Microbiology and Immunology, Weill-Bugando School of Medicine, Catholic University of Health and Allied Sciences, Bugando Medical Centre, Mwanza, Tanzania.
Blandina T MmbagaKilimanjaro Clinical Research Institute, Kilimanjaro Christian Medical Centre, Moshi, Tanzania.ORCID https://orcid.org/0000-0002-5550-1916
Shona HiltonMRC/CSO School of Social & Public Health Sciences Unit/School of Health and Wellbeing, University of Glasgow, Glasgow, United Kingdom.

Funding

Medical Research Council MR/S004815/1
6 · The paper itself

Abstract

The importance of communication in enhancing people's awareness and understanding of antimicrobial resistance (AMR) is consistently recognised in global and national action plans (NAPs). Despite this, there have been relatively few national AMR communication campaigns which use a structured approach to take account of the local context, encompass co-design with the target audience and use a logic model to help inform its design, implementation and evaluation. Designing a logic model for communication-based interventions can help map out the planning, resources, messaging, assumptions and intended outcomes of the campaign to maximise its impact, ensure it is fit for context and minimise any unintended consequences on individuals and society. Building on an AMR research project in Tanzania, Supporting the National Action Plan for AMR (SNAP-AMR), we co-designed the SNAP-AMR Logic Model with key stakeholders to implement AMR communication campaigns and related legacy materials to be employed in support of the Tanzanian NAP, but with broader relevance to a range of contexts. In developing the SNAP-AMR Logic Model, we reviewed relevant communication theories to create and target messages, and we considered behavioural change theories. We defined all key elements of the SNAP-AMR Logic Model as follows: (1) resources (inputs) required to enable the design and implementation of campaigns, e.g. funding, expertise and facilities; (2) activities, e.g. co-design of workshops (to define audience, content, messages and means of delivery), developing and testing of materials and data collection for evaluation purposes; (3) immediate deliverables (outputs) such as the production of legacy materials and toolkits; and (4) changes (outcomes) the campaigns aim to deliver, e.g. in social cognition and behaviours. The SNAP-AMR Logic Model efficiently captures all the elements required to design, deliver and evaluate AMR communication-based interventions, hence providing government and advocacy stakeholders with a valuable tool to implement their own campaigns. The model has potential to be rolled out to other countries with similar AMR socio-cultural, epidemiological and economic contexts.

Identifiers

PMID38870108
PMCPMC11175528

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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.