Evidence map›Paper›PMID 36277092›Full record

ArticleOne health (Amsterdam, Netherlands)2022

A scoping review of antibiotic use practices and drivers of inappropriate antibiotic use in animal farms in WHO Southeast Asia region.

Greco Mark Malijan, Nopporn Howteerakul, Natasha Ali, Sukhontha Siri, Mondha Kengganpanich, OH-DART Study Group, Roger Nascimento, Ross D Booton, Katherine M E Turner, Ben S Cooper and 1 more

Abstract readScoping Review
In one paragraph

Article in One health (Amsterdam, Netherlands), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing 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

27 citing papers in PubMed.

  1. Rumen Microbiota and Metabolome Reveal the Effects ofAnimals : an open access journal from MDPI · 2026
    Article
  2. Sales of antimicrobials for veterinary use, Bangladesh, 2023.Bulletin of the World Health Organization · 2026
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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

11 authors.

Greco Mark MalijanCentre for Tropical Medicine and Global Health, Nuffield Department of Clinical Medicine, University of Oxford, Oxford OX1 3SY, United Kingdom.
Nopporn HowteerakulDepartment of Epidemiology, Faculty of Public Health, Mahidol University, 420/1 Ratchawithi Rd., Ratchathewi District, Bangkok 10400, Thailand.
Natasha AliCentre for Tropical Medicine and Global Health, Nuffield Department of Clinical Medicine, University of Oxford, Oxford OX1 3SY, United Kingdom.
Sukhontha SiriDepartment of Epidemiology, Faculty of Public Health, Mahidol University, 420/1 Ratchawithi Rd., Ratchathewi District, Bangkok 10400, Thailand.
Mondha KengganpanichDepartment of Health Education and Behavioral Sciences, Faculty of Public Health, Mahidol University, 420/1 Ratchawithi Rd., Ratchathewi District, Bangkok 10400, Thailand.
OH-DART Study Group
Roger NascimentoCentre for Tropical Medicine and Global Health, Nuffield Department of Clinical Medicine, University of Oxford, Oxford OX1 3SY, United Kingdom.
Ross D BootonUK Health Security Agency, 133-155 Waterloo Road, London, SE1 8UG, United Kingdom.
Katherine M E TurnerUniversity of Bristol, Dolberry, Bristol BS40 5DU, United Kingdom.
Ben S CooperCentre for Tropical Medicine and Global Health, Nuffield Department of Clinical Medicine, University of Oxford, Oxford OX1 3SY, United Kingdom.
Aronrag MeeyaiCentre for Tropical Medicine and Global Health, Nuffield Department of Clinical Medicine, University of Oxford, Oxford OX1 3SY, United Kingdom.

Funding

Medical Research Council MR/S004769/1
6 · The paper itself

Abstract

Antibiotic use (ABU) plays an important role in the proliferation of antimicrobial resistance (AMR). Global antimicrobial consumption in food production is projected to rise by 67% from 2010 to 2030, but available estimates are limited by the scarcity of ABU data and absence of global surveillance systems. The WHO South-East Asia (WHO SEA) region is at high risk of emergence of AMR, likely driven by intensifying farm operations and worsening ABU hotspots. However, little is known about farm-level ABU practices in the region. To summarize emerging evidence and research gaps, we conducted a scoping review of ABU practices following the Arksey and O'Malley methodological framework. We included studies published between 2010 and 2021 on farm-level ABU/AMR in the 11 WHO SEA member states, and databases were last searched on 31 October 2021. Our search strategy identified 184 unique articles, and 25 publications underwent full-text eligibility assessment. Seventeen studies, reported in 18 publications, were included in the scoping review. We found heterogeneity in the categorizations, definitions, and ABU characterization methods used across studies and farm types. Most studies involved poultry, pig, and cattle farms, and only one study examined aquaculture. Most studies evaluated ABU prevalence by asking respondents about the presence or absence of ABU in the farm. Only two studies quantified antibiotic consumption, and sampling bias and lack of standardized data collection methods were identified as key limitations. Emerging evidence that farm workers had difficulty differentiating antibiotics from other substances contributed to the uncertainty about the reliability of self-reported data without other validation techniques. ABU for growth promotion and treatment were prevalent. We found a large overlap in the critically important antibiotics used in farm animals and humans. The ease of access to antibiotics compounded by the difficulties in accessing quality veterinary care and preventive services likely drive inappropriate ABU in complex ways.

Indexed as

Animal farmsAntibiotic useAntimicrobial resistanceFarming practicesOne healthSoutheast Asia

Identifiers

PMID36277092
PMCPMC9582544

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.