Literature DB >> 20145282

Prospective trial of thoracic and spine surgeons' updating of their estimated case durations at the start of cases.

Elisabeth U Dexter1, Franklin Dexter, Danielle Masursky, Kimberly A Kasprowicz.   

Abstract

BACKGROUND: Surgeon estimates of case durations are important for operating room (OR) management decision making because many cases are rare combinations of procedures with few or no historical data. Thoracic and spine surgeons updated their scheduled OR times on the day of surgery just before the "time out" in the OR.
METHODS: All elective (scheduled) general thoracic (n = 39) and spine surgery (n = 48) cases at 1 hospital were studied over 3-month and 1.5-month periods, respectively.
RESULTS: Among cases with a change in predicted duration, most changes were made based on updates to the surgical or anesthetic procedures (thoracic 85%, spine 86%). For thoracic surgery, there was overall no significant median reduction in absolute prediction error (median 0 minutes, 95% confidence interval [CI] 0-0 minutes). Among the 37% of cases with changed predicted durations, there was a significant reduction in absolute error (median 38 minutes, 95% CI >7.5 minutes). For spine surgery, there was overall no reduction in the absolute error (median 0 minutes, 95% CI 0-0 minutes). Among the 29% of cases with changed predicted durations, absolute error was no worse, but not significantly better (point estimate of median reduction 34 minutes, 95% CI >0 minutes). Secondary observations made were no effect of updates on bias, frequent rounding of scheduled durations to the nearest half hour, and increased predictive error caused by decisions that reduced expected overutilized OR time.
CONCLUSIONS: A systematic program of routinely and/or always asking for updated case duration predictions will not substantively improve OR management decision making. However, when a change in surgical approach, surgical procedure, or anesthetic procedure is identified (e.g., at the intraoperative briefing before case start), the updated estimate of case duration should be used, because such updates are not worse and often better than original estimates.

Mesh:

Year:  2010        PMID: 20145282     DOI: 10.1213/ANE.0b013e3181cd6eb9

Source DB:  PubMed          Journal:  Anesth Analg        ISSN: 0003-2999            Impact factor:   5.108


  5 in total

1.  Overutilization and underutilization of operating rooms - insights from behavioral health care operations management.

Authors:  Andreas Fügener; Sebastian Schiffels; Rainer Kolisch
Journal:  Health Care Manag Sci       Date:  2015-10-03

2.  A robust estimation model for surgery durations with temporal, operational, and surgery team effects.

Authors:  Enis Kayış; Taghi T Khaniyev; Jaap Suermondt; Karl Sylvester
Journal:  Health Care Manag Sci       Date:  2014-12-14

3.  Continuous real-time prediction of surgical case duration using a modular artificial neural network.

Authors:  York Jiao; Bing Xue; Chenyang Lu; Michael S Avidan; Thomas Kannampallil
Journal:  Br J Anaesth       Date:  2022-01-26       Impact factor: 11.719

4.  Event-based knowledge elicitation of operating room management decision-making using scenarios adapted from information systems data.

Authors:  Franklin Dexter; Ruth E Wachtel; Richard H Epstein
Journal:  BMC Med Inform Decis Mak       Date:  2011-01-07       Impact factor: 2.796

5.  Clinical and Nonclinical Effects on Operative Duration: Evidence from a Database on Thoracic Surgery.

Authors:  Jin Wang; Javier Cabrera; Kwok-Leung Tsui; Hainan Guo; Monique Bakker; John B Kostis
Journal:  J Healthc Eng       Date:  2020-02-10       Impact factor: 2.682

  5 in total

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