Patient and personnel factors affect operating room start times.

Meneveau, Max O; Mehaffey, J Hunter; Turrentine, Florence E; Shilling, Ashley M; Showalter, Shayna L; Schroen, Anneke T · Surgery · 2020

retrospective_cohort · Level III

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Abstract

Perioperative efficiency has been studied, although little is known about patient and personnel factors associated with a timely operating room start. We hypothesize that patient, personnel factors, and induction-order decisions are associated with anesthesia induction time. An institutional database was used to identify the anesthesia induction time of adults undergoing first-start, elective operations from January 2014 to May 2017 at an academic quaternary care center. Data included patient demographics; surgeon and anesthesiologist, as well as their seniority (years since initial board certification); certified registered nurse anesthetist versus anesthesia resident staffing; and use of neuraxial anesthesia. Times were measured as minutes from scheduled start to induction. Univariate and multivariate analyses were performed to identify factors associated with induction time. We identified 15,823 cases. Predictors of later induction included add-on cases (1,224 cases were add-ons, 7.73%), American Society of Anesthesiologists classification ≥ 3, neuraxial anesthesia, and certified registered nurse anesthetist staffing. Surgeon seniority-but not gender-affected induction time. In 11,093 cases (70.1%), the anesthesiologist was scheduled for multiple first starts with a choice of which patient to induce first. Surgeon gender was predictive of induction order, with cases of male surgeons induced first more frequently than female surgeons' (47.0% vs 44.1%, P = .02). Cases staffed by anesthesiology residents were more likely to be induced first compared with those staffed by certified registered nurse anesthetists (52.1% vs 41.5%, P < .01). Patient and personnel factors affect the order of case induction, but induction time is most dependent on patient factors. Hospitals should focus on improving preparedness and limiting bias to create a more equitable and efficient perioperative process.

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