Evidence map›Paper›PMID 41000362›Full record

ArticleJournal of emergencies, trauma, and shock

Gender Coding in Recruitment Materials for Emergency Medicine Residency Programs.

Nicolas Andrea, Chloe Jeanmonod, Veronica Petra, Kelly O'Brien, Ankita Bassi, Jade Pace, Rebecca Jeanmonod

Abstract read
In one paragraph

Article in Journal of emergencies, trauma, and shock. 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

7 authors.

Nicolas AndreaDepartment of Emergency Medicine, St. Luke's University Health Network, Bethlehem, PA, USA.
Chloe JeanmonodDepartment of Women and Gender Studies, Lafayette College, Easton, PA, USA.
Veronica PetraDepartment of Emergency Medicine, St. Luke's University Health Network, Bethlehem, PA, USA.
Kelly O'BrienDepartment of Emergency Medicine, St. Luke's University Health Network, Bethlehem, PA, USA.
Ankita BassiDepartment of Emergency Medicine, St. Luke's University Health Network, Bethlehem, PA, USA.
Jade PaceDepartment of Emergency Medicine, St. Luke's University Health Network, Bethlehem, PA, USA.
Rebecca JeanmonodDepartment of Emergency Medicine, St. Luke's University Health Network, Bethlehem, PA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Almost 50% of medical students are women, yet women make up only 28% of emergency medicine-trained physicians. Studies, in other industries, have shown using masculine- or feminine-coded language in job advertisements affects the numbers of male versus female applicants who apply. Our research explores gender bias in the language of emergency medicine (EM) residency recruitment materials, and assesses if this language correlates to the gender distribution within studied residencies. Methods: One hundred and one ACGME accredited EM residency programs (2021) were reviewed. Each program's website recruitment materials were decoded based upon prior research on gender bias in language. Recruitment materials were categorized as highly masculine, masculine, highly feminine, feminine, or neutral. Each program website was reviewed to determine current residency classes' gender distribution. Results: One hundred and one EM residencies were reviewed. Residency sizes ranged from 17 to 86 trainees and were comprised 10%-92% females, with the average class breakdown of 38% women. The majority of EM residency recruitment materials contained some gender coded language ( Conclusions: Gender-coded language is common in residency recruitment materials for EM but does not have a relationship to resident class demographics. Further studies should examine whether gendered language in recruitment materials impacts residents' choices during the application process.

Indexed as

Gender biasrecruitmentunconscious bias

Identifiers

PMID41000362
PMCPMC12459926

What OpenQuestion holds

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LicenceCC BY-NC-SA
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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.