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      Operating theatre time, where does it all go? A prospective observational study

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          Abstract

          Objective To assess the accuracy of surgeons and anaesthetists in predicting the time it will take them to complete an operation or procedure and therefore explain some of the difficulties encountered in operating theatre scheduling.

          Design Single centre, prospective observational study.

          Setting Plastic, orthopaedic, and general surgical operating theatres at a level 1 trauma centre serving a population of about 370 000.

          Participants 92 operating theatre staff including surgical consultants, surgical registrars, anaesthetic consultants, and anaesthetic registrars.

          Intervention Participants were asked how long they thought their procedure would take. These data were compared with actual time data recorded at the end of the case.

          Primary outcome measure Absolute difference between predicted and actual time.

          Results General surgeons underestimated the time required for the procedure by 31 minutes (95% confidence interval 7.6 to 54.4), meaning that procedures took, on average, 28.7% longer than predicted. Plastic surgeons underestimated by 5 minutes (−12.4 to 22.4), with procedures taking an average of 4.5% longer than predicted. Orthopaedic surgeons overestimated by 1 minute (−16.4 to 14.0), with procedures taking an average of 1.1% less time than predicted. Anaesthetists underestimated by 35 minutes (21.7 to 48.7), meaning that, on average, procedures took 167.5% longer than they predicted. The four specialty mean time overestimations or underestimations are significantly different from each other (P=0.01). The observed time differences between anaesthetists and both orthopaedic and plastic surgeons are significantly different (P<0.05), but the time difference between anaesthetists and general surgeons is not significantly different.

          Conclusion The inability of clinicians to predict the necessary time for a procedure is a significant cause of delay in the operating theatre. This study suggests that anaesthetists are the most inaccurate and highlights the potential differences between specialties in what is considered part of the “anaesthesia time.”

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          Most cited references5

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          Orthopaedic surgeons: as strong as an ox and almost twice as clever? Multicentre prospective comparative study

          Objective To compare the intelligence and grip strength of orthopaedic surgeons and anaesthetists. Design Multicentre prospective comparative study. Setting Three UK district general hospitals in 2011. Participants 36 male orthopaedic surgeons and 40 male anaesthetists at consultant or specialist registrar grade. Main outcome measures Intelligence test score and dominant hand grip strength. Results Orthopaedic surgeons had a statistically significantly greater mean grip strength (47.25 (SD 6.95) kg) than anaesthetists (43.83 (7.57) kg). The mean intelligence test score of orthopaedic surgeons was also statistically significantly greater at 105.19 (10.85) compared with 98.38 (14.45) for anaesthetists. Conclusions Male orthopaedic surgeons have greater intelligence and grip strength than their male anaesthetic colleagues, who should find new ways to make fun of their orthopaedic friends.
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            Estimating the time needed for induction of anaesthesia and its importance in balancing anaesthetists' and surgeons' waiting times around the start of surgery.

            After the anaesthetist has induced anaesthesia, it is desirable that the surgeon is present and ready to start surgery, otherwise the team needs to wait for the surgeon. From another perspective, however, the surgeon does not necessarily wish to be present from the start of induction, since that process can take a variable time and the surgeon might be otherwise occupied in productive activity rather than waiting for the patient to be ready. Waiting times in the morning can therefore be a source of constant friction between anaesthetists and surgeons. In this prospective study we used the data from 718 first cases of the day, during a 4-week study period at two university hospitals, to develop a simple spreadsheet-based method to analyse the interaction of anaesthesia and surgical start time, anaesthesia technique and the probability of waiting time for anaesthetist or surgeon, respectively. This method can be used to determine the best surgical or anaesthesia start time for each case, so that the waiting time for anaesthetists and surgeons can be minimised.
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              Variability of subspecialty-specific anesthesia-controlled times at two academic institutions.

              Realistic scheduling of operating room cases decreases costs, optimizes utilization and improves staff and patient satisfaction. Currently limited data exists to establish anesthesia-controlled time benchmarks based on specific subspecialty service. In this multicenter retrospective analysis of cases performed during a 53 month period at two large multispecialty academic institutions, data were retrieved from the perioperative information systems at each center. Both induction and emergence times were calculated. We then determined mean and median anesthesia controlled times based on each subspecialty service and compared them to previously published anesthesia-controlled time data. We obtained data on 104,184 cases at hospital A, and 122,560 cases at Hospital B. For all specialties at hospital A and hospital B, median induction time was 16.0 min and 17.0 min, emergence time was 14.0 and 8.0 min, and total anesthesia controlled time was 31.0 min and 27.0 min respectively. There was considerable variability among different surgical specialties deviating from the previously established 30 min benchmark. Subspecialties with lower total anesthesia controlled times in both centers were pain, general surgery, gynecology, plastic surgery and urology. Subspecialties with higher total anesthesia controlled times in both centers included cardiac surgery, neurosurgery, transplant and vascular. Cardiac surgery had the highest total time of 60 min and 50 min at Hospital A and B respectively. Individual specialty-specific anesthesia controlled times should be used for case scheduling and to benchmark anesthesia performance.
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                Author and article information

                Contributors
                Role: orthopaedic house officer
                Role: doctoral researcher
                Role: orthopaedic house officer
                Role: orthopaedic consultant
                Role: orthopaedic consultant
                Role: orthopaedic registrar
                Journal
                BMJ
                BMJ
                bmj
                BMJ : British Medical Journal
                BMJ Publishing Group Ltd.
                0959-8138
                1756-1833
                2014
                15 December 2014
                : 349
                : g7182
                Affiliations
                [1 ]Waikato Hospital, Hamilton, New Zealand
                [2 ]University of Sussex, UK
                Author notes
                Article
                trae021206
                10.1136/bmj.g7182
                4266034
                25510241
                1b9cb856-64f5-469e-82b4-b7d25be6486b
                © Travis et al 2014

                This is an Open Access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/.

                History
                : 07 November 2014
                Categories
                Research
                Christmas 2014: On the Wards, in the Surgery

                Medicine
                Medicine

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