Evidence map›Paper›PMID 39841667›Full record

ArticleAcademic medicine : journal of the Association of American Medical Colleges2025

Association Between Specialty-Specific Physician Salaries and Percentage of Women in the Workforce.

Tala Mujahed, Blessing S Ofori-Atta, Rachel Codden, Tom Greene, Nanette Dudley, Howard Kadish, Zachary Drapkin

Abstract read
In one paragraph

Article in Academic medicine : journal of the Association of American Medical Colleges, 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

7 authors.

Tala Mujahed
Blessing S Ofori-Atta
Rachel Codden
Tom Greene
Nanette Dudley
Howard Kadish
Zachary Drapkin

Funding

CTSA UM1 Program at University of UtahUM1TR004409 · NCATS · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · PI RACHEL HESS, Jennifer Juhl Majersik · 2023 to 2026
$21.9M
NCATS NIH HHS UM1 TR004409
6 · The paper itself

Abstract

purposeSeveral studies have demonstrated that female physicians within specific specialties are compensated less than their male counterparts. Academic institutions seek to address this using Association of American Medical Colleges (AAMC) data for benchmarking and starting salary standardization. However, few studies address whether there is an association between percentage of women across specialties and mean salary for each specialty. The purpose of this study was to examine whether there is an association between mean salary and percentage of women in various specialties.

methodThis cross-sectional study used AAMC Faculty Salary Report data for fiscal year 2022. Surveys were sent to 155 U.S. accredited medical schools, of which 153 schools participated (99% response rate). Univariable and multivariable analyses were performed to assess the association between mean specialty salary, calculated as the weighted mean of male and female salaries for each specialty, and the percentage of women in each specialty using a generalized linear gamma mixed model.

resultsAnalysis using data from 124,480 full-time faculty at 153 accredited U.S. medical schools indicated that as the percentage of women in a specialty increases, mean salary decreases. This finding was true for all specialties ( r = -0.65), medical specialties ( r = -0.83), pediatric specialties ( r = -0.80), and surgical specialties ( r = -0.73). Multivariable analysis accounting for rank, pediatric vs nonpediatric specialties, procedural vs nonprocedural vs mixed specialties, and years of training showed that every 10% increase in percentage of women in a specialty was associated with a 7% decrease in salary independent of other factors.

conclusionsAn inverse correlation between percentage of women in a specialty and mean salary for that specialty was observed even when controlling for confounding factors. This trend is worth noting because AAMC data are often used as a benchmark to establish physician starting salaries.

Indexed as

Faculty, MedicalMedicinePhysicians, WomenSalaries and Fringe BenefitsSpecializationCross-Sectional StudiesFemaleHumansMaleSchools, MedicalSurveys and QuestionnairesUnited States

Identifiers

PMID39841667
PMCPMC12119230

What OpenQuestion holds

Textmetadata
LicenceTDM
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.