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Predicting joint replacement waiting times

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Author Info
Lauren Cipriano
Bert Chesworth
Chris Anderson
Gregory Zaric ()
Abstract

Currently, the median waiting time for total hip and knee replacement in Ontario is greater than 6 months. Waiting longer than 6 months is not recommended and may result in lower post-operative benefits. We developed a simulation model to estimate the proportion of patients who would receive surgery within the recommended waiting time for surgery over a 10-year period considering a wide range of demand projections and varying the number of available surgeries. Using an estimate that demand will grow by approximately 8.7% each year for 10 years, we determined that increasing available supply by 10% each year was unable to maintain the status quo for 10 years. Reducing waiting times within 10 years required that the annual supply of surgeries increased by 12% or greater. Allocating surgeries across regions in proportion to each region’s waiting time resulted in a more efficient distribution of surgeries and a greater reduction in waiting times in the long-term compared to allocation strategies based only on the region’s population size. Copyright Springer Science+Business Media, LLC 2007

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File URL: http://hdl.handle.net/10.1007/s10729-007-9013-z
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Publisher Info
Article provided by Springer in its journal Health Care Management Science.

Volume (Year): 10 (2007)
Issue (Month): 2 (June)
Pages: 195-215
Download reference. The following formats are available: HTML (with abstract), plain text (with abstract), BibTeX, RIS (EndNote, RefMan, ProCite), ReDIF
Handle: RePEc:kap:hcarem:v:10:y:2007:i:2:p:195-215

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Web page: http://www.springerlink.com/link.asp?id=101767

For technical questions regarding this item, or to correct its listing, contact: (Christopher F. Baum).

Related research
Keywords: Waiting times; Joint replacement; Queuing simulation; Projecting demand for health care services; Surgical allocation planning; Resource allocation;

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:

  1. Lillard, L.A. & Rogowski, J. & Kington, R., 1999. "Insurance Coverage for Prescription Drugs: Effects on Use and Expenditures in the Medicare Population," Papers 99-09, RAND - Labor and Population Program.
  2. Edward Kaplan & Mira Johri, 2000. "Treatment on demand: an operational model," Health Care Management Science, Springer, vol. 3(3), pages 171-183, June. [Downloadable!] (restricted)
  3. Lee A. Lillard & Jeannette Rogowski & Raynard Kington, 1999. "Insurance Coverage for Prescription Drugs: Effects on Use and Expenditures in the Medicare Population," Working Papers 99-09, RAND Corporation Publications Department. [Downloadable!]
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