Evidence map›Paper›PMID 40027924›Full record

ReviewOne health (Amsterdam, Netherlands)2025

Mapping socioeconomic factors driving antimicrobial resistance in humans: An umbrella review.

Gunnar Ljungqvist, Robin van Kessel, Elias Mossialos, Victoria Saint, Jelena Schmidt, Alexander Mafi, Alison Shutt, Anuja Chatterjee, Esmita Charani, Michael Anderson

Abstract readReview
In one paragraph

Review in One health (Amsterdam, Netherlands), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. One health (Amsterdam, Netherlands) · 2025
    Article
  4. Article
  5. 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.

Gunnar LjungqvistLSE Health, Department of Health Policy, London School of Economics and Political Science, London, United Kingdom.
Robin van KesselLSE Health, Department of Health Policy, London School of Economics and Political Science, London, United Kingdom.
Elias MossialosLSE Health, Department of Health Policy, London School of Economics and Political Science, London, United Kingdom.
Victoria SaintDepartment of Population Medicine and Health Services Research, School of Public Health, Bielefeld University, Germany.
Jelena SchmidtDepartment of International Health, Care and Public Health Research Institute (CAPHRI), Maastricht University, Maastricht, the Netherlands.
Alexander MafiBritish Medical Journal, London, United Kingdom.
Alison ShuttFaculty of Medicine, Imperial College London, London, United Kingdom.
Anuja ChatterjeeNational Institute for Health and Care Excellence, London, United Kingdom.
Esmita CharaniDivision of Infectious Diseases & HIV Medicine, Department of Medicine, Groote Schuur Hospital, University of Cape Town, South Africa.
Michael AndersonLSE Health, Department of Health Policy, London School of Economics and Political Science, London, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Antimicrobial resistance (AMR) is one of the biggest public health challenges of our time. National Action Plans have failed so far to effectively address socioeconomic drivers of AMR, including the animal and environmental health dimensions of One Health. Objective: To map what socioeconomic drivers of AMR exist in the literature with quantitative evidence. Methods: An umbrella review was undertaken across Medline, Embase, Global Health, and Cochrane Database of Systematic Reviews, supplemented by a grey literature search on Google Scholar. Review articles demonstrating a methodological search strategy for socioeconomic drivers of AMR were included. Two authors extracted drivers from each review article which were supported by quantitative evidence. Drivers were grouped thematically and summarised narratively across the following three layers of society: People & Public, System & Environment, and Institutions & Policies. Results: The search yielded 6300 articles after deduplication, with 23 review articles included. 27 individual thematic groups of drivers were identified. The People & Public dimensions contained the following themes: age, sex, ethnicity, migrant status, marginalisation, sexual behaviours, socioeconomic status, educational attainment, household composition, maternity, personal hygiene, lifestyle behaviours. System & Environment yielded the following themes: household transmission, healthcare occupation, urbanicity, day-care attendance, environmental hygiene, regional poverty, tourism, animal husbandry, food supply chain, water contamination, and climate. Institutions & Policies encompassed poor antibiotic quality, healthcare financing, healthcare governance, and national income. Many of these contained bidirectional quantitative evidence, hinting at conflicting pathways by which socioeconomic factors drive AMR. Conclusion: This umbrella review maps socioeconomic drivers of AMR with quantitative evidence, providing a macroscopic view of the complex pathways driving AMR. This will help direct future research and action on socioeconomic drivers of AMR.

Indexed as

Antibiotic useAntimicrobial resistanceDrug resistanceOne healthSocioeconomic factorsTransmission

Identifiers

PMID40027924
PMCPMC11872410

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.