Evidence map›Paper›PMID 33842811›Full record

ArticleAEM education and training2021

Multi-institutional Implementation of the National Clinical Assessment Tool in Emergency Medicine: Data From the First Year of Use.

Katherine Hiller, Julianna Jung, Luan Lawson, Rebecca Riddell, Doug Franzen

Abstract read
In one paragraph

Article in AEM education and training, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

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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

5 authors.

Katherine HillerDepartment of Emergency Medicine University of Arizona Tucson AZ USA.ORCID https://orcid.org/0000-0001-7343-852X
Julianna Jungthe Department of Emergency Medicine Johns Hopkins University Baltimore MD USA.
Luan Lawsonthe Department of Emergency Medicine East Carolina University Greenville NC USA.
Rebecca Riddellthe Office of Assessment and Evaluation Johns Hopkins University Baltimore MD USA.
Doug Franzenand the Department of Emergency Medicine University of Washington Seattle WA USA.ORCID https://orcid.org/0000-0002-4350-8678

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesUniformly training physicians to provide safe, high-quality care requires reliable assessment tools to ensure learner competency. The consensus-derived National Clinical Assessment Tool in Emergency Medicine (NCAT-EM) has been adopted by clerkships across the country. Analysis of large-scale deidentified data from a consortium of users is reported.

methodsThirteen sites entered data into a Web-based platform resulting in over 6,400 discrete NCAT-EM assessments from 748 students and 704 assessors. Reliability, internal consistency analysis, and factorial analysis of variance for hypothesis generation were performed.

resultsAll categories on the NCAT-EM rating scales and professionalism subdomains were used. Clinical rating scale and global assessment scores were positively skewed, similar to other assessments commonly used in emergency medicine (EM). Professionalism lapses were noted in <1% of assessments. Cronbach's alpha was >0.8 for each site; however, interinstitutional variability was significant. M4 students scored higher than M3 students, and EM-bound students scored higher than non-EM-bound students. There were site-specific differences based on number of prior EM rotations, but no overall association. There were differences in scores based on assessor faculty rank and resident training year, but not by years in practice. There were site-specific differences based on student sex, but overall no difference.

conclusionsTo our knowledge, this is the first large-scale multi-institutional implementation of a single clinical assessment tool. This study demonstrates the feasibility of a unified approach to clinical assessment across multiple diverse sites. Challenges remain in determining appropriate score distributions and improving consistency in scoring between sites.

Identifiers

PMID33842811
PMCPMC8019216

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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.