Evidence map›Paper›PMID 39502437›Full record

ArticleJournal of public health research2024

Analyzing diversity trends in dermatology: A comprehensive overview.

Michael Mayo, Isuru Ratnayake, Sam Pepper, Mohammod Mahmudur Rahman, Md Robiul Islam Talukder, Matthew McGuirk, Joshua Martinez, Adela Rambi Cardones, Jo Wick, Dinesh Pal Mudaranthakam

Abstract read
In one paragraph

Article in Journal of public health research, 2024. 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

10 authors.

Michael MayoDepartment of Biostatistics & Data Science, The University of Kansas Medical Center, Kansas City, KS, USA.
Isuru RatnayakeDepartment of Biostatistics & Data Science, The University of Kansas Medical Center, Kansas City, KS, USA.ORCID https://orcid.org/0000-0001-9596-781X
Sam PepperDepartment of Biostatistics & Data Science, The University of Kansas Medical Center, Kansas City, KS, USA.
Mohammod Mahmudur RahmanDepartment of Biostatistics & Data Science, The University of Kansas Medical Center, Kansas City, KS, USA.ORCID https://orcid.org/0009-0000-4659-9299
Md Robiul Islam TalukderDepartment of Biostatistics & Data Science, The University of Kansas Medical Center, Kansas City, KS, USA.
Matthew McGuirkDepartment of Biostatistics & Data Science, The University of Kansas Medical Center, Kansas City, KS, USA.
Joshua MartinezDepartment of Biostatistics & Data Science, The University of Kansas Medical Center, Kansas City, KS, USA.
Adela Rambi CardonesDivision of Dermatology, The University of Kansas Medical Center, Kansas City, KS, USA.
Jo WickDepartment of Biostatistics & Data Science, The University of Kansas Medical Center, Kansas City, KS, USA.
Dinesh Pal MudaranthakamDepartment of Biostatistics & Data Science, The University of Kansas Medical Center, Kansas City, KS, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Dermatology lags behind other medical specialties in workforce diversity, particularly regarding gender, race, and ethnicity. This study aims to analyze the current demographics of dermatology physicians in the United States, comparing them with other medical specialties, the overall population of practicing U.S. physicians, and the U.S. population as a whole. Design and Method: Data from the Association of American Medical Colleges and the U.S. Census Bureau (2007-2022) were used to evaluate gender, racial, and ethnic diversity within dermatology. Demographic factors analyzed included gender, race, and ethnicity, with racial categories grouped as White, Asian, and underrepresented minorities in medicine (URiM). Chi-square tests assessed the fit of gender and age distributions with population proportions, while linear regression models examined trends over time. Results: From 2007 to 2021, the number of dermatologists grew by 22.9%, with a corresponding decrease in population per dermatologist, indicating growth relative to the general population. The proportion of female dermatologists rose by 68.1% during this period, while the male proportion declined by 5.1%. From 2019 to 2022, a significant linear increase (p < 0.001) in URiM representation among dermatology residents was observed, with a model-predicted annual increase of 1.6%. Conclusions: The increasing diversity in dermatology may be attributed to initiatives such as scholarships and mentorship programs implemented by dermatology organizations and residency programs. By fostering a more diverse workforce, dermatology can better address the healthcare needs of a diverse population and promote health equity across all demographics.

Indexed as

DermatologydiversitygendertrendsURiM

Identifiers

PMID39502437
PMCPMC11536379

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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.