Representativeness of Workplace-Based Operative Performance Assessments for Resident Operative Experience

Representativeness of Workplace-Based Operative Performance Assessments for Resident Operative Experience

Kenneth L. Abbott MD, MS, Andrew E. Krumm PhD, Michael J. Clark PhD, Daniel E. Kendrick MD, MAEd, Jesse K. Kelley MD, Brian C. George MD, MAEd

Abstract

OBJECTIVE

Workplace-based assessment is increasingly prevalent in surgical education, especially for assessing operative skill. With current implementations, not all observed clinical performances are assessed, in part because trainees often have discretion about when they seek assessment. As a result, these samples of observed operative performances may not be representative of the full breadth of experience of surgical trainees. Therefore, analyses of these samples may be biased. We aimed to benchmark patterns of procedures logged in the SIMPL operative performance assessment system against records of trainee experience in Accreditation Council for Graduate Medical Education (ACGME) case logs.

DESIGN

We analyzed SIMPL longitudinal intraoperative performance assessments from categorical trainees in US general surgery residency programs. We compared overall patterns of how procedures are logged in SIMPL and in ACGME case logs using a Pearson correlation, and we examined differences in how individual procedures are logged in each system using Fisher’s exact test.

RESULTS

Total procedure frequency from the SIMPL dataset was strongly correlated with total procedure frequency from ACGME case logs (r = 0.86, 95% CI 0.80-0.90). A subset of these procedures (10 of 116 procedures) was logged more frequently in the SIMPL dataset. These 10 procedures accounted for 56% of SIMPL observations and 30% of ACGME logged cases. Case complexity was comparable for assessments initiated by residents and faculty.

CONCLUSIONS

Samples of intraoperative performance ratings gathered using the SIMPL application largely resemble ACGME case logs. There is no evidence to indicate that residents preferentially select fewer complex cases for assessment.

PMID: https://pubmed.ncbi.nlm.nih.gov/34996745/