title: The limited value of sequencing cases based on their probability of cancellation.
abstract: BACKGROUND
  Case cancellations on the day of surgery reduce operating room (OR) and anesthesia group productivity. One strategy to reduce the impact of case cancellations on productivity is to assign high-risk cases to start last in the OR workday. To evaluate the utility of this intervention, we used a database of canceled cases to model the process of identifying high-risk cases and resequencing them to be the surgeons' last cases of the day.
  
  
  METHODS
  Descriptive information was prospectively collected on 1 year of canceled cases. A comparison group of completed cases served as controls. Predictors of case cancellation were identified and used to calculate the number of cases that would require resequencing for 1 cancellation to occur at the end of the day. The proportion of total OR hours relevant to each predictor was assessed. To assess the desirability of this strategy, surgeons were surveyed regarding their scheduling preferences for patients at high risk for cancellation.
  
  
  RESULTS
  During the study period, 946 of 12,253 cases were canceled. Strong predictors of cancellation included percentage of missed clinic appointments (number of cases requiring resequencing = 5.27) and insurance status (number of cases requiring resequencing = 8.87 for Medicaid). The predictor accounting for the most scheduled time was residence in Chicago (5.1% of total hours). No predictor both required the resequencing of 5 or fewer cases to prevent 1 cancellation in the middle of the day and accounted for >4% of scheduled time. Survey results demonstrated that in addition to cancellation probability, factors such as case complexity also influenced surgeons' sequencing preferences.
  
  
  CONCLUSIONS
  Highly sensitive predictors of case cancellation are impractical for sequencing purposes because they account for too few hours of scheduled OR time. Effort invested in identifying and resequencing cases at high risk for cancellation likely has limited value.
authors.affiliation: Department of Anesthesia and Critical Care, University of Chicago, 5841 S. Maryland Ave., MC4028, Chicago, IL 60637, USA. atung@dacc.uchicago.ed
authors.forename: Avery
authors.initials: A
authors.lastname: Tung
authors.forename: Franklin
authors.initials: F
authors.lastname: Dexter
authors.forename: Sharon
authors.initials: S
authors.lastname: Jakubczyk
authors.forename: David B
authors.initials: DB
authors.lastname: Glick
mesh_terms: D001071:Appointments and Schedules; D016208:Databases, Factual; D004493:Education; D004526:Efficiency; D005260:Female; D005544:Forecasting / Q000379:methods*; D006801:Humans; D008297:Male; D009873:Operating Rooms / Q000458:organization & administration*; D011203:Poverty / Q000706:statistics & numerical data; D011446:Prospective Studies; D011785:Quality Assurance, Health Care; D018570:Risk Assessment; D012737:Sex Factors; D012959:Socioeconomic Factors