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Narrative comments in internal medicine clerkship evaluations

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Bibliographic Data

ID15328397
AuthorsChristine Crumbley (Baylor College of Medicine), Karen Szauter (0000-0002-2064-3535, The University of Texas Medical Branch at Galveston, corresponding author), Bernard Karnath (University of Texas Medical Branch), Lindsay Sonstein (0000-0003-4530-9418, University of Texas Medical Branch), L Maria Belalcazar (0000-0003-1052-6658, University of Texas Medical Branch), Sidra Shoaib Qureshi (0000-0003-0611-4896, The University of Texas Medical Branch at Galveston), Sidra Qureshi (0000-0001-8634-4098, University of Texas Medical Branch)
Year2025
Volume30
Issue1
Pages2471434-2471434
Publication date2025-02-25
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueMedical Education Online (JOURNAL)
Journal identifiersISSN: 1087-2981 • E-ISSN: 1087-2981
PublisherTaylor & Francis (PUBLISHER • GB)
DOI10.1080/10872981.2025.2471434
PMID39998485
OpenAlexW4407911352
LanguageEN
References cited55

The use of narrative comments in medical education poses a unique challenge: comments are intended to provide formative feedback to learners while also being used for summative grades. Given student and internal medicine (IM) grading committee concerns about narrative comment quality, we offered an interactive IM Grand Rounds (GR) session aimed at improving comment quality. We undertook this study to determine the quality of comments submitted by faculty and post-graduate trainees on students' IM Clerkship clinical assessments, and to explore the potential impact of our IM-GR. Archived comments from clerkship cohorts prior to and immediately following IM-GR were reviewed. Clinical clerkship assessment comments include three sections: Medical Student Performance Assessment (MSPE), Areas of Strength, and Areas for Improvement. We adapted a previously published comment assessment tool and identified the performance domain(s) discussed, inclusion of specific examples of student performance, evidence that the comment was based on direct observations, and, when applicable, the inclusion of actionable recommendations. Scoring was based on the number of domains represented and whether an example within that domain was provided (maximum score = 10). Analysis included descriptive statistics, t-test, and Pearson correlation coefficients. We scored 697 comments. Overall, section ratings were MSPE 2.51 (SD 1.52, range 0-9), Areas of Strength 1.53 (SD 1.09, range 0-6), and Areas for Improvement 1.27 (SD 1.06, range 0-8). Significant differences were noted after Grand Rounds only in the MSPE mean scores. Within domains, trends toward increased use of specific examples in the post-GR narratives were noted. Assessment of both the breadth and depth of the included comments revealed low-quality narratives offered by our faculty and resident instructors. A focused session on best practices in writing narratives offered minimal change in the overall narrative quality, although we did notice a trend toward the inclusion of explanative examples

Medical education · Narrative · Clinical Reasoning and Diagnostic Skills · Innovations in Medical Education · Medicine · Philosophy · Psychology · Radiology practices and education

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Citation velocityhistorical
Highly citedNo

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