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Using language to evaluate curricular impact: a novel approach in assessing clinical reasoning curricula

  • Katherine Gavinski ORCID logo EMAIL logo , Deborah DiNardo , Scott D. Rothenberger and Eliana Bonifacino ORCID logo
Published/Copyright: January 6, 2025

Abstract

Objectives

Published clinical reasoning curricula are limited, and measuring curricular impact has proven difficult. This study aims to evaluate the impact of a broad-reaching, multi-level reasoning curricula by measuring utilization of clinical reasoning terminology in published abstracts.

Methods

In 2014, the University of Pittsburgh Medical Center (UPMC) created a clinical reasoning curriculum with interventions at the student, resident, and faculty levels with the goal of bringing reasoning education to the forefront. This study was a retrospective analysis of published clinical vignettes of the Society of General Internal Medicine prior to local curricular intervention (2014), post-curricular intervention (2018), and on follow-up (2022). UPMC-affiliated abstracts were compared to abstracts containing reasoning terms from all other institutions, at each time point.

Results

There was a statistically significant increase in the use of clinical reasoning terms by UPMC-affiliated participants from 2014 to 2018. Non-UPMC submissions, saw a smaller, but still significant increase in the use of clinical reasoning terms. There was a decline in clinical reasoning term use from 2018 to 2022, both at UPMC and nationally.

Conclusions

This study demonstrates that widespread clinical reasoning curricula can increase interest in and use of clinical reasoning terminology. Further work is needed to develop creative assessment tools for reasoning curricula.


Corresponding author: Katherine Gavinski, MD, MPH, MSEd, Assistant Professor of Medicine, Department of Medicine, Medical College of Wisconsin, Milwaukee, WI, USA; and VA Milwaukee Healthcare System, Milwaukee, WI, USA, E-mail:

Funding source: The University of Pittsburgh General Internal Medicine Fellow Research Fund

Award Identifier / Grant number: n/a

  1. Research ethics: Not applicable.

  2. Informed consent: Not applicable.

  3. Author contribution: All authors have accepted responsibility for the entire content of this manuscript and approved its submission.

  4. Use of Large Language Models, AI and Machine Learning Tools: None declared.

  5. Conflict of interest: The authors state no conflict of interest.

  6. Research funding: The University of Pittsburgh General Internal Medicine Fellow Research Fund.

  7. Data availability: Not applicable.

References

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Received: 2024-11-03
Accepted: 2024-12-17
Published Online: 2025-01-06

© 2024 Walter de Gruyter GmbH, Berlin/Boston

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