Abstract
In this chapter, we describe a simulation study developed for comparing two methods of booking elective surgery in terms of cancellation of elective procedures and time to surgery. We used discrete-event simulation with a cluster randomized design, in which the unit of allocation was the hospital and the units of analysis were both the hospital and the patient. Our results suggest that hospitals with advance booking of surgery dates had fewer surgical cancellations and a higher weekly likelihood that a medium-priority patient would actually undergo the operation.
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References
J. Blake and M. Carter. A goal programming approach to strategic resource allocation in acute care hospitals. European Journal of Operational Research, 140: 541–561, 2002.
J. Blake and J. Donald. Mount Sinai Hospital uses integer programming to allocate operating room time. Interfaces, 32(3):63–73, 2002.
F. Dexter and R. D. Traub. How to schedule elective surgical cases into specific operating rooms to maximize the efficiency of use of operating room time. Anesthesia and Analgesia, 94(4):933–942, 2002.
A. Donner and N. Klar. Design and analysis of cluster randomization trials in health research. Arnold Publishing Co., London, 2000.
V. V. Fedorov. Theory of optimal experiments. Academic Press, 12th edition, New York, 1972.
C. Ham, R. Kipping, and H. McLeod. Redesigning work processes in health care: Lessons from the national health service. The Milbank Quarterly, 81(3):415–439, 2003.
D. M. Hamilton and S. Breslawski. Operating room scheduling. Factors to consider. Association of Operating Room Nurses Journal, 59(3):665–680, 1994.
F. E. Harrel, K. L. Lee, D. B. Matchar, and T. A. Reichert. Regression models for prognostic prediction: Advantages, problems and suggested solutions. Cancer Treatment Reports, 69:1071–1077, 1985.
R. J. Hayes and S. Bennett. Simple sample size calculation for cluster-randomized trials. International Journal of Epidemiology, 28:319–326, 1999.
H. McLeod, C. Ham, and R. Kipping. Booking patients for hospital admissions: Evaluation of a pilot programme for day cases. British Medical Journal, 327(7424): 1147, 2003.
B. Sobolev and L. Kuramoto. Analysis of waiting-time data in health services research. Springer, New York, 2008.
B. Sobolev and L. Kuramoto. Cluster-randomized design for simulation-based evaluation of complex healthcare interventions. Journal of Simulation, 4(1):24–33, 2010.
B. Sobolev, P. Brown, D. Zelt, and L. Kuramoto. Waiting time in relation to wait-list size at registration: Statistical analysis of a waiting-list registry. Clinical and Investigative Medicine, 27(6):298–305, 2004.
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Sobolev, B., Sanchez, V., Kuramoto, L. (2012). Booking Elective Surgery. In: Health Care Evaluation Using Computer Simulation. Springer, Boston, MA. https://doi.org/10.1007/978-1-4614-2233-4_16
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DOI: https://doi.org/10.1007/978-1-4614-2233-4_16
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