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Cognitive Errors and Debiasing

Joshua Ginsburg, MD, MHPE*

*University of Texas Southwestern, Department of Emergency Medicine, Dallas, TX

Correspondence should be addressed to Joshua Ginsburg, MD at joshua.ginsburg@utsouthwestern.edu

DOI: https://doi.org/10.21980/J84W96 Issue 10:3
Current IssueAdministrationFaculty DevelopmentLecturesMiscellaneous (stats, etc)
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ABSTRACT:

Audience:

Although this lecture was given to first-year residents, it is also appropriate for upper-level residents, medical students, fellows, and faculty.

Introduction:

Medical errors are largely due to errors of cognition rather than lack of knowledge.1 The cognitive processes that underlie these errors are often explained using Dual Process Theory, which posits that we engage in either fast, intuitive, low-effort System 1 thinking or slow, analytical, high-effort System 2 thinking. Although System 1 thinking is crucial for efficient emergency medicine practice, it is susceptible to the biases that cause cognitive errors. Research to date is mixed regarding the effect of educational interventions aimed at reducing cognitive bias but tends to show a benefit to cognitive bias training over a variety of outcome measures.2 Many experts therefore believe that physicians should be taught about cognitive biases and debiasing strategies in an effort to reduce medical errors.3,4

Educational Objectives:

By the end of this lecture, learners should be able to, 1) Define dual process theory, 2) identify common cognitive biases, 3) recognize high-risk situations for cognitive errors, and 3) discuss debiasing strategies and integrate one strategy into your workflow.

Educational Methods:

This interactive lecture was created in PowerPoint and delivered in-person to 14 first-year residents during their “Intern Curriculum,” a monthly meeting separate from the residency-wide conference. The lecture took 30 minutes to deliver.

Research Methods:

Residents responded to pre- and post-lecture Likert scale surveys regarding their knowledge of cognitive biases and debiasing strategies, as well as a post-lecture survey regarding the quality of the lecture, the relevance of the content, and the likelihood of making changes to their practice based on the lecture.

Results:

A total of 14 residents responded to the survey, and all residents completed both the pre-lecture and post-lecture questions. In the pre-lecture survey, 35.7% (5) of participants reported that they had good or extensive knowledge of cognitive biases, and 7.1% (1) of participants reported that they had good or extensive knowledge of debiasing strategies. In the post-lecture survey, 85.7% (12) of participants reported that they had good or extensive knowledge of cognitive biases, and 78.6% (11) of participants reported that they had good or extensive knowledge of debiasing strategies. All (14) participants felt the lecture was of good or excellent quality, 92.9% (13) felt it was very or extremely relevant to them as emergency medicine physicians, and 100% (14) reported they were likely to make changes to their practice based on this lecture. 

Discussion:

The results of the survey show that residents perceived increased knowledge of both cognitive errors and debiasing strategies after attending this lecture. The lecture was rated highly, was found to be relevant to practice, and was likely to change practice going forward for most learners. These results suggest that an interactive lecture may have an important role in introducing residents to the concepts of cognitive errors and debiasing.

Topics:

Cognitive bias, bias, debiasing, errors.

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