Training in Neurology: Diagnostic Accuracy Among Neurology Residents

Autor: Emily M. Schorr, Peter Jin, Christine Stahl, Rachel Brandstadter, Stephen Krieger
Rok vydání: 2020
Předmět:
Zdroj: Neurology. 96:e1804-e1808
ISSN: 1526-632X
0028-3878
DOI: 10.1212/wnl.0000000000011232
Popis: ObjectiveTo describe cases presented by junior neurology residents and to evaluate resident diagnostic patterns to help address individual and systemic educational needs.MethodsFor 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 prespecified localization pathways.ResultsDemographic 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. CNS 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 whether a case was neurologic. Where in the localization pathway errors occurred varied between etiologies.ConclusionOverall 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.
Databáze: OpenAIRE