Evidence map›Paper›PMID 39837583›Full record

ReviewBMJ global health2025

Understanding gender inequities in antimicrobial resistance: role of biology, behaviour and gender norms.

Deepshikha Batheja, Srishti Goel, Esmita Charani

Abstract readReview
In one paragraph

Review in BMJ global health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

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  15. Antimicrobial Resistance in Sub-Saharan Africa: A Comprehensive Landscape Review.The American journal of tropical medicine and hygiene · 2025
    Review
  16. Review
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  18. Environmental Exposures and the Human Gut Resistome in Northwest Ecuador.medRxiv : the preprint server for health sciences · 2025
    Article
  19. 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

3 authors.

Deepshikha BathejaIndian School of Business, Hyderabad, India deepshikha@onehealthtrust.org.ORCID http://orcid.org/0000-0002-4991-2938
Srishti GoelOne Health Trust, Bengaluru, Karnataka, India.
Esmita CharaniUniversity of Cape Town, Rondebosch, South Africa.ORCID http://orcid.org/0000-0002-5938-1202

Funding

Wellcome Trust
6 · The paper itself

Abstract

Antimicrobial resistance (AMR) poses a critical public health threat, with gendered implications that are often overlooked. Key drivers of bacterial AMR include the misuse of antibiotics, inadequate water, sanitation and hygiene infrastructure and poor infection control practices. Persistent gender discrimination exacerbates these issues, resulting in disparities in healthcare access and outcomes. This review explores how biological, sociocultural and behavioural factors contribute to the differential incidence of AMR in women. We present a conceptual framework to understand how gender norms influence antibiotic use and AMR. Differences in infection susceptibility, health-seeking behaviours, the ability to access and afford essential antibiotics and quality healthcare and appropriate diagnosis and management by healthcare providers across genders highlight the necessity for gender-sensitive approaches. Addressing gender dynamics within the health workforce and fostering inclusive policies is crucial for effectively mitigating AMR. Integrating intersectional and life course approaches into AMR mitigation strategies is essential to manage the changing health needs of women and other vulnerable groups.

Indexed as

Anti-Bacterial AgentsDrug Resistance, BacterialDrug Resistance, MicrobialHealthcare DisparitiesSexismFemaleHumansMaleSex FactorsAnti-Bacterial AgentsGlobal HealthHealth policyInfections, diseases, disorders, injuries

Identifiers

PMID39837583
PMCPMC11749213

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.