Put Me in the Game Coach! Resident Participation in High-risk Surgery in the Era of Big Data.

BACKGROUND

With the emphasis on quality metrics guiding reimbursement, concerns have emerged regarding resident participation in patient care. This study aimed to evaluate whether resident participation in high-risk elective general surgery procedures is safe.

MATERIALS AND METHODS

The American College of Surgeons National Surgical Quality Improvement Program database (2005-2012) was used to identify patients undergoing one of five high-risk general surgery procedures. Resident and nonresident groups were created using a 2:1 propensity score match. Postoperative outcomes were calculated using univariate statistics and multivariable logistic regression for the two groups. Predictors of mortality and morbidity were identified using machine learning in the form of decision trees.

RESULTS

Twenty-five thousand three hundred sixty three patients met our inclusion criteria. Following matching, each group contained 500 patients and was comparable for matched characteristics. Thirty-day mortality was similar between the groups (2.4% versus 2.6%; P = 0.839). Deep surgical site infection (0% versus 1.6%; P = 0.005), urinary tract infection (5% versus 2.5%; P = 0.029), and operative time (275.6 min versus 250 min; P = 0.0064) were significantly higher with resident participation. Resident participation was not predictive of mortality or complications, while age, American society of anesthesiologists class, and functional status were leading predictors of both.

CONCLUSIONS

Despite growing time constraints and pressure to perform, surgical resident participation remains safe. Residents should be given active roles in the operating room, even in the most challenging cases.