The pharmacoeconomics of volatile anesthetics are highly sensitive to measurement of relatively small time differences. Therefore, surgical facilities should use these values combined with their local data (e.g., mean baseline extubation times) when making evidence-based management decisions regarding pharmaceutical purchases and usage guidelines.

Longer times to extubation are associated with an increased chance of at least 1 person waiting in the OR. This measure can be used in observational studies and for lean engineering projects to assess conditions when time to extubation affects workflow. Observers can combine use of this measure for extubation times with the previously developed measure for studying the influence of induction times on OR workflow.

Knowledge of OR efficiency was low among the respondents working in ORs. Nevertheless, the apparent absence of bias shows that education may influence behavior. In contrast, presence of bias on matters of tardiness of start times shows that education may be of no benefit. As the latter results match findings of previous studies of scheduling decisions, interventions to reduce patient and surgeon waiting from start times may depend principally on the application of automation to guide decision-making.

The de Oliveira Filho supervision instrument was designed for use by residents. Our results show that the instrument also is reliable and valid when used by CRNAs. This is important given our previous finding that the CRNA:MD ratio had no correlation with the level of supervision provided.

A faculty who has insufficient presence cannot be providing good teaching. Furthermore, there was negligible correlation between supervision scores and faculty clinical assignments. Thus, insufficient faculty presence accounted for a small proportion of below-average supervision scores and low-quality supervision. Furthermore, scores ≥3 have a predictive value for the absence of disrespectful behavior ≅99%. Approximately 94% of the faculty supervision scores that were below average were still ≥3. Consequently, for the vast majority of the faculty-resident-days, quality of teaching distinguished between below- versus above-average supervision scores. This result is consistent with our prior finding of a strong correlation between 6-month supervision scores and assessments of teaching effectiveness. Taken together, when individual faculty anesthesiologists are counseled about their clinical supervision scores, the attribute to emphasize is quality of clinical teaching.

Matching findings of prior studies using OR information system data, multiple case series show that it is important to rely on the precise procedure(s), surgical team, and type of anesthetic when estimating case durations. OR information systems need to incorporate the statistical methods designed for small numbers of prior surgical cases. Future research should focus on the most effective methods to update the prediction of each case's duration as these data become available. The case series did not reveal additional data which could be cost-effectively integrated with OR information systems data to improve the accuracy of predicted durations for general thoracic surgery cases.

Although growth of the elderly population is a simple justification for building more ORs, managers should be cautious in arguing for strategic changes in capacity at individual hospitals based on future changes in the national age-adjusted population. Local population can provide little value in forecasting future anesthesia workloads at individual hospitals. In addition, anesthesia groups and hospital administrators should not focus on quarterly changes in workload, because workload can vary widely, despite consistent patterns over decades. To facilitate long-range planning, anesthesia groups and hospitals should save their billing and OR time data, display it graphically over years, and supplement with corresponding forecasting methods (e.g., staff an additional OR when an upper prediction bound of workload per OR exceeds a threshold).

Purpose We investigated whether changes in the number of cases performed by surgeons can be used as an appropriate surrogate for anesthesia departments' billed units. Methods We used both number of cases performed and the American Society of Anesthesiologists' Relative Value Guide TM (ASA RVG) units to assess all operating room anesthetics of an anesthesia group for two sets of 13 fourweek periods. The units correspond to Canadian basic units and time units. Results Although the number of ASA RVG units is an economically important variable that quantifies perioperative workload, the number of cases is a suitable surrogate for ASA RVG units when used to monitor individual surgeons. The pooled mean Pearson correlation coefficient between the two variables was r = 0.95, with 95% confidence interval 0.94 to 0.96. In addition, there were essentially none to very weak pairwise correlations among surgeons. Conclusions Informal hospital analyses of relative changes in a surgeon's caseload over one year using anesthesia workload data or anesthesia billing data will generally give equivalent results. The principal importance of our findings is that they can be used by anesthesiologists, specifically department heads, in their role as part of operating room committees. Such committees institute plans to revise the caseload of one or a few surgeons, and they then evaluate the results of those plans. The findings of this study are applicable to all anesthesia groups and may be especially valuable to the heads of anesthesiology departments who do not have the data to repeat our analyses. RésuméObjectif Nous avons cherche´a`savoir si les changements dans le nombre de patients ope´re´s par les chirurgiens pouvaient se refle´ter fide`lement dans les unite´s de facturation des de´partements d'anesthe´sie.