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This article is the author’s final published version in BMC Medical Education, Volume 19, Issue 1, December 2019, Article number 446.

The published version is available at Copyright © Hoffman et al.


BACKGROUND: Resident competence in peri-operative care is a reflection on education and cost-efficiency. Inspecting pre-existing operating room metrics for performance outliers may be a potential solution for assessing competence. Statistical correlation of problematic benchmarks may reveal future opportunities for educational intervention.

METHODS: Case-log database review yielded 3071 surgical cases involving residents over the course of 5 years. Surgery anticipated and actual start times were evaluated for delays and residents were assessed using the days of resident training performed at the time of each corresponding case. Other variables recorded included day of week, attending anesthesiologist name, attending surgeon name, patient age, sex, American Society of Anesthesiologists physical status classification (ASA PS), and in-patient versus day surgery status. Mixed-effect, multi-variable, linear regression determined independent determinants of delay time.

RESULTS: The analysis identified day of the week (F = 25.65, P < 0.0001), days of training (F = 8.39, P = 0.0038), attending surgeon (F = 2.67, P < 0.0001), and anesthesiology resident (F = 1.67, P = 0.0012) as independent predictors of delay time for first-start cases, with an overall regression model F = 3.09, r2 = 0.186, and P < 0.0001.

CONCLUSIONS: The day of the week and attending surgeon demonstrated significant impact of case delay compared to resident days trained. If a learning curve for first-case start punctuality exists for anesthesiology residents, it is subtle and irrelevant to operating room efficiency. The regression model accounted for only 19% of the variability in the outcome of delay time, indicating a multitude of additional unidentified factors contributing to operating room efficiency.

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Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.

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