Evidence map›Paper›PMID 33287824›Full record

ArticleBMC medical education2020

Advising special population emergency medicine residency applicants: a survey of emergency medicine advisors and residency program leadership.

Alexis E Pelletier-Bui, Caitlin Schrepel, Liza Smith, Xiao Chi Zhang, Adam Kellogg, Mary Ann Edens, Christopher W Jones, Emily Hillman

Abstract read
In one paragraph

Article in BMC medical education, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
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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

8 authors.

Alexis E Pelletier-BuiDepartment of Emergency Medicine, Cooper Medical School of Rowan University, 1 Cooper Plaza, Camden, NJ, 08103, USA. pelletier-bui-alexis@cooperhealth.edu.ORCID http://orcid.org/0000-0002-9969-4123
Caitlin SchrepelDepartment of Emergency Medicine, University of Washington, 325 Ninth Avenue, Seattle, WA, 98104, USA.
Liza SmithDepartment of Emergency Medicine, University of Massachusetts Medical School-Baystate, 759 Chestnut Street, Springfield, MA, 01199, USA.
Xiao Chi ZhangDepartment of Emergency Medicine, Thomas Jefferson University, 1020 Sansom St, 1651 Thompson Bldg, Philadelphia, PA, USA.
Adam KelloggDepartment of Emergency Medicine, University of Massachusetts Medical School-Baystate, 759 Chestnut Street, Springfield, MA, 01199, USA.
Mary Ann EdensDepartment of Emergency Medicine, Louisiana State University Health Sciences Center Shreveport, 1501 East Kings Highway, Shreveport, LA, 71130, USA.
Christopher W JonesDepartment of Emergency Medicine, Cooper Medical School of Rowan University, 1 Cooper Plaza, Camden, NJ, 08103, USA.
Emily HillmanDepartment of Emergency Medicine, University of Missouri-Kansas City School of Medicine, 2411 Holmes Street, Kansas City, MO, 64108, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe objective of this study was to determine the advising and emergency medicine (EM) residency selection practices for special population applicant groups for whom traditional advice may not apply.

methodsA survey was distributed on the Council of Residency Directors in EM and Clerkship Directors in EM Academy listservs. Multiple choice, Likert-type scale, and fill-in-the-blank questions addressed the average EM applicant and special population groups (osteopathic; international medical graduate (IMG); couples; at-risk; re-applicant; dual-accreditation applicant; and military). Percentages and 95% confidence intervals [CI] were calculated.

resultsOne hundred four surveys were completed. Of respondents involved in the interview process, 2 or more standardized letters of evaluation (SLOEs) were recommended for osteopathic (90.1% [95% CI 84-96]), IMG (82.5% [73-92]), dual-accreditation (46% [19-73]), and average applicants (48.5% [39-58]). Recommendations for numbers of residency applications to submit were 21-30 (50.5% [40.7-60.3]) for the average applicant, 31-40 (41.6% [31.3-51.8]) for osteopathic, and > 50 (50.9% [37.5-64.4]) for IMG. For below-average Step 1 performance, 56.0% [46.3-65.7] were more likely to interview with an average Step 2 score. 88.1% [81.8-94.4] will consider matching an EM-EM couple. The majority were more likely to interview a military applicant with similar competitiveness to a traditional applicant. Respondents felt the best option for re-applicants was to pursue the Supplemental Offer and Acceptance Program (SOAP) for a preliminary residency position.

conclusionAdvising and residency selection practices for special population applicants differ from those of traditional EM applicants. These data serve as an important foundation for advising these distinct applicant groups in ways that were previously only speculative. While respondents agree on many advising recommendations, outliers exist.

Indexed as

Emergency MedicineInternship and ResidencyHumansLeadershipPopulation GroupsSurveys and QuestionnairesUnited StatesApplying for residencyEmergency medicine matchMedical student advising

Identifiers

PMID33287824
PMCPMC7722429

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.