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November 12, 2020Resident & Fellow Section

Training in neurology

Diagnostic accuracy among neurology residents: The “close the loop” project

View ORCID ProfileEmily M. Schorr, Rachel Brandstadter, Peter Jin, Christine Stahl, Stephen Krieger
First published November 12, 2020, DOI: https://doi.org/10.1212/WNL.0000000000011232
Emily M. Schorr
From the Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY.
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  • ORCID record for Emily M. Schorr
Rachel Brandstadter
From the Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY.
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Peter Jin
From the Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY.
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Christine Stahl
From the Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY.
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Stephen Krieger
From the Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY.
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Training in neurology
Diagnostic accuracy among neurology residents: The “close the loop” project
Emily M. Schorr, Rachel Brandstadter, Peter Jin, Christine Stahl, Stephen Krieger
Neurology Nov 2020, 10.1212/WNL.0000000000011232; DOI: 10.1212/WNL.0000000000011232

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Abstract

Objective To describe cases presented by junior neurology residents, and to evaluate resident diagnostic patterns to help address individual and systemic educational needs.

Methods For 6 academic years, details of all morning report cases assessed and presented by junior neurology residents were logged, including the resident's independent initial diagnostic impression. Cases were later revisited at subsequent morning reports to “close the loop” on a final diagnosis. We conducted retrospective review to quantify case demographics and to determine resident diagnostic accuracy based on pre-specified localization pathways.

Results Demographic analysis included 1,472 cases; of these, 1,301 qualified for accuracy analysis due to diagnostic uncertainty at time of morning report. Non-neurologic etiologies represented 26.0% of cases. Central nervous system etiologies were the majority (86.0%) of neurologic cases. The most frequent diagnoses were ischemic stroke and seizure. Overall resident diagnostic accuracy was 64.0%. Accuracy was similar between central and peripheral etiologies. Of 1,301 cases, 15.3% were overcalled as neurologic, while neurologic disease was rarely mistaken as non-neurologic (5.1%). Most diagnostic errors (49.1%) occurred when determining if a case was neurologic. Where in the localization pathway errors occurred varied between etiologies.

Conclusion Overall diagnostic accuracy for neurology junior residents in our cohort was similar to prior work conducted in smaller samples. Analysis of errors, particularly at the critical “neurologic or non-neurologic” decision-point, warrants further investigation. “Close the loop” methodology is simple to employ and can guide educational and quality initiatives to improve neurology resident clinical acumen.

  • © 2020 American Academy of Neurology

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