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The Cognitive Load of Inpatient Consults

A Convergent Parallel Mixed Methods Study Using the Consult Cognitive Load Instrument

Bibliographic Data

ID21612319
AuthorsSam Brondfield (0000-0001-7656-7490, is assistant professor, Department of Medicine, University of California, San Francisco, San Francisco, California., corresponding author), Kewchang Lee (is professor, Department of Psychiatry and Behavioral Sciences, University of California, San Francisco, San Francisco, California.), Patricia O’sullivan (0000-0002-8706-4095, is professor, Departments of Medicine and Surgery, University of California, San Francisco, San Francisco, California.)
Year2021
Volume96
Issue11S
PagesS119-S125
Publication date2021-11-01
Open AccessNo
TypeARTICLE
VenueAcademic Medicine (JOURNAL)
Journal identifiersISSN: 1040-2446 • E-ISSN: 1938-808X
PublisherOxford University Press (OUP) (PUBLISHER)
DOI10.1097/acm.0000000000004265
PMID34348389
OpenAlexW3192224868
LanguageEN
Citations received1
References cited20

PURPOSE: Consultation is crucial for patient care and a primary responsibility of fellows. Understanding the cognitive load associated with the complex skill of consultation would enhance fellow learning. The authors aimed to determine themes describing the fellow experience during inpatient consults specifically, align these themes with Consult Cognitive Load (CCL) scores, and identify strategies to manage cognitive load to enhance fellow education and performance, and, consequently, patient care. METHOD: The authors studied 16 fellows using mixed methods. Fellows who accepted an invitation completed an inpatient consult followed by the CCL, a measure of cognitive load during consults, and an interview. Three authors conducted a thematic analysis. Member checks and triangulation supported theme trustworthiness. Subsequently, 3 authors rated the extent and cognitive demand of each theme expressed in each transcript. The authors measured interrater reliability and used Spearman correlation to describe the association of these ratings with CCL scores. The authors examined themes to identify strategies that educators might use. RESULTS: Analysis revealed 4 themes: "nature and scope," which conceptually aligned with intrinsic load (IL); "leveraging resources," which had elements of both IL and extraneous load (EL); "extraneous factors," which aligned with EL; and "drivers," which aligned with germane load (GL). Interrater reliability for extent and demand ratings ranged from 0.57 to 0.79. The correlation between "nature and scope" and IL was 0.37, "extraneous factors" and EL 0.71, and "drivers" and GL 0.32. "Leveraging resources" did not correlate with IL (0.06) or EL (-0.09). Potential strategies based on themes included offering level-appropriate assistance to match IL, focusing the fellow's attention to reduce EL, and providing succinct teaching to promote GL. CONCLUSIONS: This study provided deep insight into the fellow consult experience and suggested strategies for educators to guide consult learning. The theme "leveraging resources" merits further exploration

Cognition · Cognitive Load · Developmental psychology · Inter-rater reliability · Medical education · Psychiatry · Qualitative research · Rating scale · Thematic analysis · Applied Psychology · Clinical Psychology · Computer Science · Healthcare Systems and Technology · Hospital Admissions and Outcomes · Medicine · Patient-Provider Communication in Healthcare · Psychology

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Citations per year1
Citation span2025 - 2025 (1)
Highly citedNo

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