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Anesth Analg 2004;98:872
© 2004 International Anesthesia Research Society
doi: 10.1213/01.ANE.0000107000.12376.1F


LETTERS TO THE EDITOR

Impact of Reducing Turnover Times on Staffing Costs

Franklin Dexter, MD PhD, Richard H. Epstein, MD CPHIMS, Amr E. Abouleish, MD MBA, Charles W. Whitten, MD, and David A. Lubarsky, MD MBA

Division of Management Consulting, Department of Anesthesia, University of Iowa, Iowa City, IA

To the Editor:

Dr. Udelsman argues persuasively that surgeons, anesthesiologists, and nurses must work together (1). However, better decision making will occur through scientific investigation, such as our study of turnover time (2). Focusing on turnover time to improve OR operations may seem intuitively reasonable. However, scientific investigation has shown that allocating OR time and scheduling cases based on minimizing the inefficiency of use of OR time (3) is a more effective way to reduce staffing costs than is reducing turnover times (3–6).

We think that Dr. Udelsman’s methodological critiques (1) were incorrect. First, our methodology focused on staffing costs as the endpoint (2), not "resource utilization" or "personnel satisfaction." The word "utilization" only appeared once, in a vignette in the Discussion reviewing previous work (2,4). Second, as stated in the first paragraph of the Methods, our methodology excluded holidays and weekends, not "slow days" (1–2).

On the issue of the cost ratio, results are insensitive to the choice. For example, even using a ratio of 4 at Hospital A gives staffing cost reductions within 0.1% of those in Table 2 (in our article) with a ratio of 1.75 (2). When a larger ratio is used, the cost reductions from reducing turnover times are not larger, because more OR time is allocated to complete the cases during the less expensive allocated hours (7).

Footnotes

Dr. Udelsman does not wish to respond.

References

  1. Udelsman R. The operating room: war results in casualties. Anesth Analg 2003; 97: 936–7.[Free Full Text]
  2. Dexter F, Abouleish AE, Epstein RH, et al. Use of operating room information system data to predict the impact of reducing turnover times on staffing costs. Anesth Analg 2003; 97: 1119–26.[Abstract/Free Full Text]
  3. Strum DP, Vargas LG, May JH. Surgical subspecialty block utilization and capacity planning: a minimal cost analysis model. Anesthesiology 1999; 90: 1176–85.[ISI][Medline]
  4. Dexter F, Macario A, Traub RD. Which algorithm for scheduling add-on elective cases maximizes operating room utilization? Use of bin packing algorithms and fuzzy constraints in operating room management. Anesthesiology 1999; 91: 1491–500.[ISI][Medline]
  5. Dexter F, Traub RD. How to schedule elective surgical cases into specific operating rooms to maximize the efficiency of use of operating room time. Anesth Analg 2002; 94: 933–42.[Abstract/Free Full Text]
  6. Dexter F, Traub RD, Macario A. How to release allocated operating room time to increase efficiency: predicting which surgical service will have the most underutilized operating room time. Anesth Analg 2003; 96: 507–12.[Abstract/Free Full Text]
  7. Dexter F, Macario A. Changing allocations of operating room time from a system based on historical utilization to one where the aim is to schedule as many surgical cases as possible. Anesth Analg 2002; 94: 1272–1279.[Abstract/Free Full Text]




This Article
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Lippincott, Williams & Wilkins Anesthesia & Analgesia® is published for the International Anesthesia Research Society® by Lippincott Williams & Wilkins with the assistance of Stanford University Libraries' HighWire Press®. Copyright 2006 by the International Anesthesia Research Society. Online ISSN: 1526-7598   Print ISSN: 0003-2999 HighWire Press