Evidence map›Paper›PMID 39313292›Full record

ArticleBMJ military health2025

Gender challenges within the UK Defence Medical Services: recruiting and retaining a diverse workforce.

Cara Swain, C Evans, V Kinkaid, J Keogh, L Orr, K King

Abstract readEditorial
In one paragraph

Article in BMJ military health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Cara SwainAcademic Department of Military Surgery & Trauma, Royal Centre for Defence Medicine, Birmingham, UK cara.swain@doctors.org.uk.ORCID http://orcid.org/0000-0003-0273-9653
C EvansInstitute of Naval Medicine, Gosport, UK.
V KinkaidAcademic Department of Military Surgery & Trauma, Royal Centre for Defence Medicine, Birmingham, UK.ORCID http://orcid.org/0000-0001-6079-2845
J KeoghDefence Medical Services, Lichfield, Staffordshire, UK.
L OrrAcademic Department of Military Surgery & Trauma, Royal Centre for Defence Medicine, Birmingham, UK.
K KingAcademic Department of Military General Practice, Royal Centre for Defence Medicine, Birmingham, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

While there are women represented in some notable positions within the UK Defence Medical Services (DMS), the challenges and barriers to successful female progression have not disappeared. The DMS needs highly talented, motivated doctors working to support operations, yet we struggle to recruit and retain female personnel. This is in clear contrast to the increased proportion of female personnel working within the civilian medical workforce.This article seeks to communicate this problem, illustrated by the lived experiences of DMS female doctors, by exploring the six gender bias barriers ('Glass Walls') that hold women back in the workplace.Cultural change requires a determined effort, driven persistently from the top and at every level of leadership and management. The first step requires recognition and acceptance of the problem. Progress is likely to be slow, or fail, if driven by the female minority alone. While the DMS remains a majority-male organisation, male allies are pivotal in advocating for their female colleagues, to promote change, in an effort to recruit and retain talented individuals.

Indexed as

Military MedicinePersonnel SelectionSexismFemaleHumansMaleUnited KingdomWorkforceWorkforce DiversityMEDICAL EDUCATION & TRAININGPREVENTIVE MEDICINEQUALITATIVE RESEARCH

Identifiers

PMID39313292
PMCPMC12703281

What OpenQuestion holds

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LicenceCC BY-NC
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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.