Evidence map›Paper›PMID 37464417›Full record

ArticleBMC medical education2023

Predictors of applicant pool racial and ethnic diversity among physician assistant education programs: a national cross-sectional cohort study.

Trenton J Honda, Daytheon Sturges, Daphne C Mills, Cynthia X Yuen, Ryan W Chitwood, José E Rodríguez

Abstract read
In one paragraph

Article in BMC medical education, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

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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.

Trenton J HondaSchool of Clinical and Rehabilitation Sciences, Bouvé College of Health Sciences, Northeastern University, Boston, MA, USA. t.honda@northeastern.edu.
Daytheon SturgesDepartment of Family Medicine, MEDEX Northwest, University of Washington School of Medicine, Seattle, WA, USA.
Daphne C MillsPhysician Assistant Education Association, Washington DC, USA.
Cynthia X YuenNational Education Association, Washington DC, USA.
Ryan W ChitwoodSynovus, Columbus, GA, USA.
José E RodríguezOffice of Health Equity, Diversity, and Inclusion, University of Utah Health, Salt Lake City, UT, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNumerous studies have demonstrated that the increasing racial and ethnic diversity of the US population benefits from access to healthcare providers from similarly diverse backgrounds. Physician assistant (PA) education programs have striven to increase the diversity of the profession, which is predominantly non-Hispanic white, by focusing on admitting students from historically excluded populations. However, strategies such as holistic admissions are predicated on the existence of racially and ethnically diverse applicant pools. While studies have examined correlates of matriculation into a medical education program, this study looks earlier in the pipeline and investigates whether applicant - not matriculant - pool diversity varies among PA programs with different characteristics.

methodsData were drawn from the 2017-2018 Central Application Service for PAs admissions cycle. Applications to programs with pre-professional tracks and applicants missing race/ethnicity data were excluded, resulting in data from 26,600 individuals who applied to 189 PA programs. We summarized the racial and ethnic diversity of each program's applicant pools using: [1]the proportion of underrepresented minority (URM) students, [2]the proportion of students with backgrounds underrepresented in medicine (URiM), and [3]Simpson's diversity index of a 7-category race/ethnicity combination. We used multiple regressions to model each diversity metric as a function of program characteristics including class size, accreditation status, type of institution, and other important features.

resultsRegardless of the demographic diversity metric examined, we found that applicant diversity was higher among provisionally accredited programs and those receiving more applications. We also identified trends suggesting that programs in more metropolitan areas were able to attract more diverse applicants. Programs that did not require the GRE were also able to attract more diverse applicants when considering the URM and SDI metrics, though results for URiM were not statistically significant.

conclusionsOur findings provide insights into modifiable (e.g., GRE requirement) and non-modifiable (e.g., provisionally accredited) program characteristics that are associated with more demographically diverse applicant pools.

Indexed as

Minority GroupsPhysician AssistantsCohort StudiesCross-Sectional StudiesCultural DiversityEthnicityHumansMatriculation.Medical EducationPhysician Assistant/AssociateRace/EthnicityUnderrepresented minority

Identifiers

PMID37464417
PMCPMC10354893

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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.