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Predicting joint replacement waiting times
Authors:Lauren E. Cipriano  Bert M. Chesworth  Chris K. Anderson  Gregory S. Zaric
Affiliation:(1) Institute for Technology Assessment, Massachusetts General Hospital, Boston, MA, USA;(2) School of Physical Therapy and Bachelor of Health Sciences Program, Faculty of Health Sciences, and Department of Epidemiology and Biostatistics, Schulich School of Medicine & Dentistry, University of Western Ontario, London, Canada;(3) School of Hotel Administration, Cornell University, Ithaca, NY, USA;(4) Richard Ivey School of Business, University of Western Ontario, 1151 Richmond Street North, London, ON, N6A 3K7, Canada
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. This project was funded by the Ontario Ministry of Health and Long Term Care through the Ontario Joint Replacement Registry (OJRR), hosted by the London Health Sciences Centre. LEC, CKA, and GSZ were also supported by the Natural Science and Engineering Research Council of Canada (NSERC).
Keywords:Waiting times  Joint replacement  Queuing simulation  Projecting demand for health care services  Surgical allocation planning  Resource allocation
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