Evidence map›Paper›PMID 39664296›Full record

ArticleAEM education and training2024

Generalizability of consensus regarding standardized letters of evaluation competitiveness: A validity study in a national sample of emergency medicine faculty.

Sharon Bord, Morgan Sehdev, Alexis Pelletier-Bui, Al'ai Alvarez, Benjamin Schnapp, Nicole Dubosh, Caitlin Schrepel, Yoon Soo Park, Eric Shappell

Abstract read
In one paragraph

Article in AEM education and training, 2024. 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

9 authors.

Sharon BordDepartment of Emergency Medicine The Johns Hopkins University School of Medicine Baltimore Maryland USA.ORCID https://orcid.org/0009-0008-5987-4139
Morgan SehdevHarvard-Affiliated Emergency Medicine Residency Brigham and Women's Hospital/Massachusetts General Hospital Boston Massachusetts USA.ORCID https://orcid.org/0000-0002-2981-0512
Alexis Pelletier-BuiDepartment of Emergency Medicine Cooper Medical School of Rowan University Cooper New Jersey USA.ORCID https://orcid.org/0000-0002-9969-4123
Al'ai AlvarezStanford Emergency Medicine Palo Alto California USA.ORCID https://orcid.org/0000-0002-5438-2476
Benjamin SchnappBerbeeWalsh Department of Emergency Medicine University of Wisconsin School of Medicine and Public Health Madison Wisconsin USA.ORCID https://orcid.org/0000-0001-5031-8269
Nicole DuboshDepartment of Emergency Medicine Beth Israel Deaconess Medical Center/Harvard Medical School Boston Massachusetts USA.ORCID https://orcid.org/0000-0001-8674-5334
Caitlin SchrepelDepartment of Emergency Medicine University of Washington Seattle Washington USA.ORCID https://orcid.org/0000-0003-0204-7657
Yoon Soo ParkDepartment of Medical Education University of Illinois at Chicago Chicago Illinois USA.
Eric ShappellDepartment of Emergency Medicine Massachusetts General Hospital/Harvard Medical School Boston Massachusetts USA.ORCID https://orcid.org/0000-0003-0281-3219

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Standardized letters of evaluation (SLOEs) are an important part of residency recruitment, particularly given the limited availability of other discerning factors in residency applications. While consensus regarding SLOE competitiveness has been studied within a small group of academic faculty, it remains unexplored how a more diverse group of letter readers interpret SLOEs in terms of competitiveness. Methods: A sample of 50 real SLOEs in the new SLOE format (2022 eSLOE 2.0) were selected to match the national rating distribution and anonymized. These SLOEs were ranked in order of competitiveness by 25 faculty members representing diverse demographics, geographic regions, and practice settings. Consensus levels were assessed using previously defined criteria and compared to prior results using a cutoff of ±10% to define a significant difference in consensus levels. Two models were tested to determine their ability to predict consensus rankings: a point-based system and a linear regression model. Results: Faculty consensus in this diverse cohort was slightly below the level measured among academic emergency medicine faculty in the prior study, though no differences were greater than the ±10% cutoff. Prediction models also performed similarly to a previous study except at the Conclusions: The degree of consensus regarding competitiveness using real SLOEs was similar in this diverse national sample compared to a prior study in a smaller and more homogenous group ranking mock SLOEs. Consensus ranks were predicted with good accuracy using both the point system and the regression model.

Identifiers

PMID39664296
PMCPMC11628423

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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.