Abstract
There is evidence that systems-based factors influence surgical outcomes of intraoperative and postoperative morbidity. The goal of this study was to provide an exploratory analysis of systems-based variables and their associations with surgical outcomes in gynecologic oncology patients. We merged electronic records from operating room software with billing claims from major surgeries performed from 2011 to 2013, at a tertiary care academic medical center. Univariate and bivariate analyses were performed to evaluate the relationship between baseline demographic and clinical covariates (age, comorbidity, procedure type, and surgeon volume), the main exposure variables (case start time, case order, and personnel handoffs), and the primary outcome of 30-day postoperative complications. Multiple logistic regression models were created to analyze the contributing effect of each systemic variable on postoperative complications. The overall rate of postoperative complications among patients was 31.4% (n = 182). Although traditional risk factors of comorbidity, procedure type, and case length were the strongest primary drivers of complication risk, there was a significant relationship between handoffs among surgical scrub technicians and postoperative complications (odds ratio: 2.12; 95% CI: 1.00-4.47). As a novel finding in surgical quality and safety research, this supports greater efforts into integrating key staffing information into studies of systemic variables and surgical outcomes.