Evidence map›Paper›PMID 35192666›Full record

ArticlePloS one2022

Factors influencing antimicrobial resistance in the European food system and potential leverage points for intervention: A participatory, One Health study.

Irene Anna Lambraki, Melanie Cousins, Tiscar Graells, Anaïs Léger, Patrik Henriksson, Stephan Harbarth, Max Troell, Didier Wernli, Peter Søgaard Jørgensen, Andrew P Desbois and 3 more

Abstract read
In one paragraph

Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
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  5. In Vitro Determination of Cytotoxic Effects of Ten Essential Oils onInternational journal of molecular sciences · 2025
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  7. Article
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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

13 authors.

Irene Anna LambrakiSchool of Public Health Sciences, University of Waterloo, Waterloo, Ontario, Canada.ORCID 0000-0003-3011-2954
Melanie CousinsSchool of Public Health Sciences, University of Waterloo, Waterloo, Ontario, Canada.
Tiscar GraellsGlobal Economic Dynamics and the Biosphere, Royal Swedish Academy of Sciences, Stockholm, Sweden.
Anaïs LégerGlobal Studies Institute, University of Geneva, Geneva, Switzerland.
Patrik HenrikssonStockholm Resilience Centre, Stockholm University, Stockholm, Sweden.
Stephan HarbarthInfection Control Programme and WHO Collaborating Centre on Patient Safety, Geneva University Hospitals and Faculty of Medicine, Geneva, Switzerland.
Max TroellStockholm Resilience Centre, Stockholm University, Stockholm, Sweden.
Didier WernliGlobal Studies Institute, University of Geneva, Geneva, Switzerland.
Peter Søgaard JørgensenGlobal Economic Dynamics and the Biosphere, Royal Swedish Academy of Sciences, Stockholm, Sweden.
Andrew P DesboisInstitute of Aquaculture, University of Stirling, Stirling, United Kingdom.ORCID 0000-0001-6052-8761
Carolee A CarsonCentre for Food-borne, Environmental and Zoonotic Infectious Diseases, Public Health Agency of Canada, Guelph, Ontario, Canada.ORCID 0000-0003-2712-0961
Elizabeth Jane ParmleyDepartment of Population Medicine, Ontario Veterinary College, University of Guelph, Guelph, Ontario, Canada.
Shannon Elizabeth MajowiczSchool of Public Health Sciences, University of Waterloo, Waterloo, Ontario, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionAntimicrobial resistance (AMR) is a global crisis that evolves from a complex system of factors. Understanding what factors interact is key to finding solutions. Our objective was to identify the factors influencing AMR in the European food system and places to intervene. MATERIALS AND

methodsWe conducted two workshops involving participants with diverse perspectives to identify the factors influencing AMR and leverage points (places) to target interventions. Transcripts were open coded for factors and connections, then transcribed into Vensim 8.0.4 to develop a causal loop diagram (CLD) and compute the number of feedback loops. Thematic analysis followed to describe AMR dynamics in Europe's food system and places for intervention. The CLD and themes were confirmed via participant feedback.

resultsSeventeen participants representing human, animal and agricultural sectors identified 91 CLD factors and 331 connections. Seven themes (e.g., social and economic conditions) describing AMR dynamics in Europe's food system, five 'overarching factors' that impact the entire CLD system (e.g., leadership) and fourteen places for intervention (e.g., consumer demand) emerged from workshop discussions. Most leverage points fell on highly networked feedback loops suggesting that intervening at these places may create unpredictable consequences.

conclusionsOur study produced a CLD of factors influencing AMR in Europe's food system that implicates sectors across the One Health spectrum. The high connectivity between the CLD factors described by participants and our finding that factors are connected with many feedback mechanisms underscores the complexity of the AMR problem and the challenge with finding long-term solutions. Identifying factors and feedbacks helped identify relevant leverage points in the system. Some actions, such as government's setting AMU standards may be easier to implement. These actions in turn can support multi-pronged actions that can help redefine the vision, values and goals of the system to sustainably tackle AMR.

Indexed as

Drug Resistance, MicrobialFood QualityQuality ControlCommunity-Based Participatory ResearchEuropeHumans

Identifiers

PMID35192666
PMCPMC8863257

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

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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.