Evidence map›Paper›PMID 39959253›Full record

ArticleAEM education and training2025

Factors associated with performance on the emergency medicine qualifying examination.

Sally A Santen, Yvette Calderon, Earl Reisdorff, Mary M Johnston, Kevin B Joldersma, Theodore Corbin, Chadd K Kraus, Dowin Boatright

Abstract read
In one paragraph

Article in AEM education and training, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

8 authors.

Sally A SantenDepartment of Emergency Medicine and Medical Education University of Cincinnati College of Medicine Cincinnati Ohio USA.ORCID https://orcid.org/0000-0002-8327-8002
Yvette CalderonDepartment of Emergency Medicine Mount Sinai Health System Icahn School of Medicine New York City New York USA.ORCID https://orcid.org/0000-0002-5635-8349
Earl ReisdorffAmerican Board of Emergency Medicine East Lansing MI USA.ORCID https://orcid.org/0000-0003-3553-446X
Mary M JohnstonAmerican Board of Emergency Medicine East Lansing MI USA.
Kevin B JoldersmaAmerican Board of Emergency Medicine East Lansing MI USA.
Theodore CorbinDepartment of Emergency Medicine Rush University Chicago Illinois USA.
Chadd K KrausAmerican Board of Emergency Medicine East Lansing MI USA.ORCID https://orcid.org/0000-0003-3628-2073
Dowin BoatrightDepartment of Emergency Medicine New York University Grossman School of Medicine New York City New York USA.

Funding

Physician-Scientist Research and Medical Education (PRIME) ProgramR35GM153263 · NIGMS · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI Dowin Boatright · 2024 to 2026
$1.1M
NIGMS NIH HHS R35 GM153263
6 · The paper itself

Abstract

Background: Board certification standards exceed the baseline requirements for state licensure, assuring the public that specialists demonstrate additional clinical skills, knowledge, and professional behavior to provide safe and high-quality specialty care. The objective of this study was to determine what physician factors (e.g., gender, age, race/ethnicity, medical school training, and other factors) were associated with the American Board of Emergency Medicine qualifying examination (QE) performance and pass rates. Methods: This was a national retrospective, observational, cross-sectional study exploring factors associated with the QE. Subjects were physicians who graduated from accredited emergency medicine (EM) categorical residency programs who took the QE for the first time in 2017, 2018, or 2019. A series of multilevel models was used to examine if physician characteristics were related to score and passing the QE. Relative risks were calculated. Results: There were 6174 EM graduates, 2118 of whom were women and 588 who were underrepresented in medicine (URiM) physicians. Controlling for other variables, in-training examination (ITE) scores and medical doctor (MD) degrees were positively related to mean QE scores, whereas age, 3-year programs, URiM, and male gender were negatively related to mean QE scores. The QE pass rate was 94%, 95% for non-URiM and 86% for URiM. Results of the full model indicated ITE score, age, URiM, gender, MD degree, and residency program format were significantly related to performance on the QE. In the final model, passing the QE was positively related to ITE scores and negatively related to age and URiM. After other variables were controlled for, the adjusted risk ratio for URiM was 0.94. Conclusions: Several factors were associated with decreased pass rates on the ABEM QE including ITE scores, older age, and URiM, although the risk ratios were small.

Identifiers

PMID39959253
PMCPMC11828697

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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.