The impact of case order and intraoperative staff changes on spine surgical efficiency

Abstract

BACKGROUND CONTEXTDespite concerted efforts toward quality improvement in high-volume spine surgery, there remains concern that increases in case load may compromise the efficient and safe delivery of surgical care. There is a paucity of evidence to describe the effects of spine case order and operating room (OR) team structure on measures of intraoperative timing and OR efficiency. PURPOSEThis study aims to determine if intraoperative staff changes and surgical case order independently predict extensions in intraoperative timing after spinal surgery for spondylotic diseases. STUDY DESIGN/ SETTINGRetrospective cohort analysis PATIENT SAMPLEAll patients over age 18 who underwent primary or revision decompression and/or fusion for degenerative spinal diseases between 2017 to 2019 at a single academic institution were retrospectively identified. Exclusion criteria included absence of descriptive data and intraoperative timing parameters as well as surgery for traumatic injury, infection, and malignancy. OUTCOME MEASURESIntraoperative timing metrics including total theater time, wheels in to induction, induction start to cut, cut to close, and close to wheels out. Postoperative outcomes included length of hospital stay and 90-day hospital readmissions. METHODSSurgical case order and intraoperative changes in staff (circulator and surgical scrub nurse or technician) were determined. Patient demographics, surgical factors, intraoperative timing and postoperative outcomes were recorded. Extensions in each operative stage were determined as a ratio of the actual duration of the parameter divided by the predicted duration of the parameter. Univariate and multivariate analyses were performed to compare outcomes within case order and staff change groups. RESULTSA total of 1,108 patients met the inclusion criteria. First, second, and third start cases differed significantly in intraoperative extensions of total theater time, wheels in to induction, induction start to cut, cut to close, and close to wheels out. On regression, decreasing case order predicted extension in wheels in to induction time. Surgeries with intraoperative staff changes were associated with increases in total theater time, induction start to cut time, cut to close time, close to wheels out time, and length of hospital stay. Switch in primary circulator predicted extended theater time and cut to close time. Relief of primary circulator or scrub predicted extended total theater time, induction start to cut time, cut to close time, and close to wheels out time. CONCLUSIONSIntraoperative staff change in spine surgery independently predicted extended operative duration. However, higher case order was not significantly associated with procedural time.