Evidence map›Paper›PMID 42499955›Full record

ArticlePerspectives on medical education2026

Assessment of Pediatric Residents in the United States by Sex, Ethnoracial and Intersectional Group.

Hannah L Kakara Anderson, Daniel C West, Alan J Schwartz, Laura Lockwood, Caroline E Rassbach, Ariel S Winn, Catherine D Michelson, Benjamin Kinnear, Jerome G Chen, Abigail Martini and 2 more

Abstract read
In one paragraph

Article in Perspectives on medical education, 2026. 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

12 authors.

Hannah L Kakara AndersonThe Children's Hospital of Philadelphia (CHOP), Philadelphia, PA, US.ORCID https://orcid.org/0000-0002-9435-1535
Daniel C WestThe Children's Hospital of Philadelphia (CHOP), Philadelphia, PA, US.ORCID https://orcid.org/0000-0002-0909-4213
Alan J SchwartzUniversity of Illinois Chicago, Chicago, IL, US.ORCID https://orcid.org/0000-0003-3809-6637
Laura LockwoodUniversity Colorado School of Medicine, Denver, CO, US.ORCID https://orcid.org/0000-0003-0817-3910
Caroline E RassbachStanford University School of Medicine, Palo Alto, CA, US.ORCID https://orcid.org/0000-0002-9221-1643
Ariel S WinnHarvard Medical School, Boston, MA, US.ORCID https://orcid.org/0000-0001-9731-859X
Catherine D MichelsonNorthwestern Feinberg School of Medicine, Chicago, IL, US.ORCID https://orcid.org/0000-0002-6752-4170
Benjamin KinnearCincinnati Children's Hospital Medical Center, Cincinnati, OH, US.ORCID https://orcid.org/0000-0003-0052-4130
Jerome G ChenOrlando Health Arnold Palmer Hospital for Children, Orlando, FL, US.ORCID https://orcid.org/0000-0003-1204-3764
Abigail MartiniAlabama College of Osteopathic Medicine, Dothan, AL, US.ORCID https://orcid.org/0000-0003-1860-8113
David A TurnerAmerican Board of Pediatrics, Chapel Hill, NC, US.
Daniel J SchumacherCincinnati Children's Hospital Medical Center, Cincinnati, OH, US.ORCID https://orcid.org/0000-0001-5507-8452

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Inequitable assessments in medical education disproportionately affect historically marginalized trainees and undermine development of a diverse physician workforce. With programs around the world incorporating competency-based medical education (CBME), understanding whether assessment disparities exist in specialty-specific competency frameworks is critical. This study examined disparities in program-reported performance assessments of pediatric residents across demographic groups in two pediatric-specific competency frameworks: the General Pediatrics Entrustable Professional Activities (EPAs) and Accreditation Council for Graduate Medical Education (ACGME) pediatric milestones. Methods: This prospective cohort study was conducted at 15 pediatric residency programs in the U.S. across the 2021-22, 2022-23, and 2023-24 academic years. Clinical Competency Committee-assigned entrustment-supervision levels for 5 EPAs and all milestone levels were collected twice yearly. Residents self-reported ethnoracial group and sex, analyzed as exposure to systems of racism and sexism. Time-to-event analysis and growth curve modeling with intersectional analytic approaches examined disparities across demographic groups. Results: 475 of 803 (59%) residents completed demographic surveys, including 17.3% underrepresented in medicine (URiM), 22.9% Asian, 56.4% white, 70.7% female, and 27.8% male. Time-to-event analyses revealed significant differences for Asian and Asian female residents in reaching the highest EPA supervision level across all EPAs. Growth curve analyses showed Asian males had significantly flatter growth trajectories for EPA 15 (Lead an Interprofessional Team), resulting in lower estimated scores at graduation. URiM female residents had significantly lower scores on EPA 16 (Facilitate Handovers) at graduation. URiM residents showed lower Milestone growth curves for interpersonal communication, and Asian residents for systems-based practice. Discussion: Subtle but meaningful disparities exist in program-reported assessments of pediatric residents, with distinct patterns affecting Asian and URiM residents across both frameworks. These findings highlight the need for proactive attention to equity in competency-based medical education assessment systems.

Indexed as

Internship and ResidencyPediatricsAdultClinical CompetenceEducational MeasurementFemaleHumansMaleProspective StudiesSex FactorsSurveys and QuestionnairesUnited States

Identifiers

PMID42499955
PMCPMC13398601

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.