Evidence map›Paper›PMID 37744420›Full record

ArticleJournal of medical education and curricular development

Design, Implementation, and Evaluation of an Intensive Course on Issues in Women's Health and Gender-Based Medicine.

Maricedes Acosta-Martínez, Latha Chandran, Siobhan Cohen, Anat Biegon

Abstract read
In one paragraph

Article in Journal of medical education and curricular development. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

4 authors.

Maricedes Acosta-MartínezDepartment of Physiology & Biophysics, Renaissance School of Medicine at Stony Brook University, Stony Brook, NY, USA.
Latha ChandranRenaissance School of Medicine at Stony Brook University, Stony Brook, NY, USA.
Siobhan CohenDepartment of Radiology, Renaissance School of Medicine at Stony Brook University, Stony Brook, NY, USA.
Anat BiegonDepartment of Radiology, Renaissance School of Medicine at Stony Brook University, Stony Brook, NY, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesSex and gender have profound effects on disease prevalence, presentation, and outcome, but these issues are not covered in depth in standard medical school curricula. To improve understanding of women's health, an intensive 1-month class was offered to fourth-year medical students.

methodsThe class combined background lectures on the biological and social determinants of women's health with presentations on specific medical conditions by practicing clinicians and students. Students' anonymous responses to end-of-class evaluation used by Stony Brook University School of Medicine as well as pre- and post-class answers to the question "why are women twice as likely to go to the doctor" were analyzed using quantitative, descriptive, and qualitative approaches.

resultsThe class was given between 2017 and 2022 to a total of 154 students. Course evaluations were submitted by 133 students. Over 80% of responders ranked the class as good or excellent and many expressed surprise about how much sex and gender influence health. Furthermore, before taking the class responders favored gender stereotypes (82%) and OB/GYN visits (56%) as the main reasons why women utilize healthcare more often than men, whereas only 31% of post-class answers included these factors (

conclusionA dedicated class given to students at the end of their undergraduate medical training increased awareness and knowledge of the effects of sex and gender on women's health.

Indexed as

curriculumgendermedical educationsex differenceswomen's health

Identifiers

PMID37744420
PMCPMC10517607

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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.