Evidence map›Paper›PMID 41031064›Full record

ArticleAEM education and training2025

Simulation Resources in Emergency Medicine Residencies: A National Survey.

Max Berger, Arlene S Chung, Daniel J Ackil, Ryan Clark, William E Soares, Jaime Jordan

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 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

6 authors.

Max BergerDepartment of Emergency Medicine David Geffen School of Medicine at UCLA Los Angeles California USA.ORCID https://orcid.org/0000-0002-2828-9243
Arlene S ChungDepartment of Emergency Medicine University of Vermont Larner College of Medicine Burlington Vermont USA.ORCID https://orcid.org/0000-0002-2531-3869
Daniel J AckilDepartment of Emergency Medicine University of Vermont Larner College of Medicine Burlington Vermont USA.
Ryan ClarkDepartment of Emergency Medicine University of Massachusetts Chan Medical School-Baystate Springfield Massachusetts USA.
William E SoaresDepartment of Emergency Medicine University of Massachusetts Chan Medical School-Baystate Springfield Massachusetts USA.
Jaime JordanDepartment of Emergency Medicine Oregon Health & Science University Portland Oregon USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: The American Board of Emergency Medicine's new Certifying Exam features simulation-based assessment. The current resources available to prepare residents to pass this high-stakes exam are unknown. We sought to assess the current state of simulation resources and utilization in EM residency programs. Methods: This was a cross-sectional survey study of residency or simulation leadership at ACGME-accredited EM programs. We developed an online survey consisting of multiple-choice items, which was piloted before use. We collected data from August to December 2024. We calculated descriptive statistics, used chi-squared testing for categorical data comparisons, and Kruskal-Wallis for ordinal variables. Univariate logistic regression was used to examine associations between EM residency and simulation resource factors with annual simulation training hours. Results: We identified contact information for 287 programs, and 194 completed the survey (67.6%). Most EM Residency programs had a simulation center (94.8%, 184/194). Fewer programs had simulation fellowship-trained physician faculty (44.3%, 86/194) or a division of simulation (40.7%, 79/194). Approximately 83% (161/194) of respondents felt that accessing simulation resources was easy or very easy. The median number of hours residents were engaged in simulation training per year was 40 (IQR 25-59). Univariate logistic regression found no association between EM program demographics and the annual number of hours of simulation training. The presence of simulation-trained faculty was associated with increased hours of simulation (OR 1.82, 95% CI 1.1-3.0, Conclusions: While most participating EM residency programs have access to simulation resources, variability exists in resources and implementation across programs, which may lead to inequities in preparing trainees for the new ABEM Certifying Exam.

Identifiers

PMID41031064
PMCPMC12476953

What OpenQuestion holds

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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.