» Articles » PMID: 38727857

The Impact of Resident Training on Robotic Operative Times: is There a July Effect?

Overview
Journal J Robot Surg
Publisher Springer
Date 2024 May 10
PMID 38727857
Authors
Affiliations
Soon will be listed here.
Abstract

It is unknown whether the July Effect (a theory that medical errors and organizational inefficiencies increase during the influx of new surgical residents) exists in urologic robotic-assisted surgery. The aim of this study was to investigate the impact of urology resident training on robotic operative times at the beginning of the academic year. A retrospective chart review was conducted for urologic robotic surgeries performed at a single institution between 2008 and 2019. Univariate and multivariate mix model analyses were performed to determine the association between operative time and patient age, estimated blood loss, case complexity, robotic surgical system (Si or Xi), and time of the academic year. Differences in surgery time and non-surgery time were assessed with/without resident presence. Operative time intervals were included in the analysis. Resident presence correlated with increased surgery time (38.6 min (p < 0.001)) and decreased non-surgery time (4.6 min (p < 0.001)). Surgery time involving residents decreased by 8.7 min after 4 months into the academic year (July-October), and by an additional 5.1 min after the next 4 months (p = 0.027, < 0.001). When compared across case types stratified by complexity, surgery time for cases with residents significantly varied. Cases without residents did not demonstrate such variability. Resident presence was associated with prolonged surgery time, with the largest effect occurring in the first 4 months and shortening later in the year. However, resident presence was associated with significantly reduced non-surgery time. These results help to understand how new trainees impact operating room times.

References
1.
Coombs D, Ascha M, Ascha M, Gatherwright J, Knackstedt R, Gurunluoglu R . Revisiting the "July Effect" in Plastic Surgery: New Data to Support Resident Autonomy. Ann Plast Surg. 2019; 84(1):95-99. DOI: 10.1097/SAP.0000000000001999. View

2.
Catchpole K, Hallett E, Curtis S, Mirchi T, Souders C, Anger J . Diagnosing barriers to safety and efficiency in robotic surgery. Ergonomics. 2017; 61(1):26-39. PMC: 6010349. DOI: 10.1080/00140139.2017.1298845. View

3.
Young J, Ranji S, Wachter R, Lee C, Niehaus B, Auerbach A . "July effect": impact of the academic year-end changeover on patient outcomes: a systematic review. Ann Intern Med. 2011; 155(5):309-15. DOI: 10.7326/0003-4819-155-5-201109060-00354. View

4.
Calhoun K, Hokanson J, Bailey B . Predictors of Residency Performance: A Follow-up Study. Otolaryngol Head Neck Surg. 2018; 116(6):647-651. DOI: 10.1016/S0194-5998(97)70242-0. View

5.
Casp A, Patterson B, Yarboro S, Tennant J . The Effect of Time During the Academic Year or Resident Training Level on Complication Rates After Lower-Extremity Orthopaedic Trauma Procedures. J Bone Joint Surg Am. 2018; 100(22):1919-1925. DOI: 10.2106/JBJS.18.00279. View