IDEAS home Printed from https://ideas.repec.org/a/kap/hcarem/v10y2007i2p195-215.html
   My bibliography  Save this article

Predicting joint replacement waiting times

Author

Listed:
  • 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

Suggested Citation

  • Lauren Cipriano & Bert Chesworth & Chris Anderson & Gregory Zaric, 2007. "Predicting joint replacement waiting times," Health Care Management Science, Springer, vol. 10(2), pages 195-215, June.
  • Handle: RePEc:kap:hcarem:v:10:y:2007:i:2:p:195-215
    DOI: 10.1007/s10729-007-9013-z
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s10729-007-9013-z
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1007/s10729-007-9013-z?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Edward Kaplan & Mira Johri, 2000. "Treatment on demand: an operational model," Health Care Management Science, Springer, vol. 3(3), pages 171-183, June.
    2. J B Jun & S H Jacobson & J R Swisher, 1999. "Application of discrete-event simulation in health care clinics: A survey," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 50(2), pages 109-123, February.
    3. Coulson, N Edward, et al, 1995. "Estimating the Moral-Hazard Effect of Supplemental Medical Insurance in the Demand for Prescription Drugs by the Elderly," American Economic Review, American Economic Association, vol. 85(2), pages 122-126, May.
    4. 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.
    5. Jeremy Hurst & Luigi Siciliani, 2003. "Tackling Excessive Waiting Times for Elective Surgery: A Comparison of Policies in Twelve OECD Countries," OECD Health Working Papers 6, OECD Publishing.
    6. Unknown, 2005. "Forward," 2005 Conference: Slovenia in the EU - Challenges for Agriculture, Food Science and Rural Affairs, November 10-11, 2005, Moravske Toplice, Slovenia 183804, Slovenian Association of Agricultural Economists (DAES).
    7. Robert W. Klein & Robert S. Dittus & Stephen D. Roberts & James R. Wilson, 1993. "Simulation Modeling and Health-care Decision Making," Medical Decision Making, , vol. 13(4), pages 347-354, December.
    8. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Fournier, Derrick L. & Zaric, Gregory S., 2013. "Simulating neonatal intensive care capacity in British Columbia," Socio-Economic Planning Sciences, Elsevier, vol. 47(2), pages 131-141.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Qian Li & Pravin K. Trivedi, 2016. "Adverse and Advantageous Selection in the Medicare Supplemental Market: A Bayesian Analysis of Prescription drug Expenditure," Health Economics, John Wiley & Sons, Ltd., vol. 25(2), pages 192-211, February.
    2. Omar Paccagnella & Vincenzo Rebba & Guglielmo Weber, 2013. "VOLUNTARY PRIVATE HEALTH INSURANCE AMONG THE OVER 50s IN EUROPE," Health Economics, John Wiley & Sons, Ltd., vol. 22(3), pages 289-315, March.
    3. Adriana Lleras-Muney & Frank R. Lichtenberg, 2002. "The Effect of Education on Medical Technology Adoption: Are the More Educated More Likely to Use New Drugs," NBER Working Papers 9185, National Bureau of Economic Research, Inc.
    4. Eren Demir & Christos Vasilakis & Reda Lebcir & David Southern, 2015. "A simulation-based decision support tool for informing the management of patients with Parkinson’s disease," International Journal of Production Research, Taylor & Francis Journals, vol. 53(24), pages 7238-7251, December.
    5. Zhou Yang & Donna B. Gilleskie & Edward C. Norton, 2004. "Prescription Drugs, Medical Care, and Health Outcomes: A Model of Elderly Health Dynamics," NBER Working Papers 10964, National Bureau of Economic Research, Inc.
    6. Munkin M & Trivedi P. K, 2009. "Incentives and Selection Effects of Drug Coverage on Total Drug Expenditure: a Finite Mixture Approach," Health, Econometrics and Data Group (HEDG) Working Papers 09/22, HEDG, c/o Department of Economics, University of York.
    7. Frank R. Lichtenberg, 2007. "Importation And Innovation," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 16(6), pages 403-417.
    8. Carter, Michael W. & Busby, Carolyn R., 2023. "How can operational research make a real difference in healthcare? Challenges of implementation," European Journal of Operational Research, Elsevier, vol. 306(3), pages 1059-1068.
    9. Nasreen Khan & Robert Kaestner & Swu Jane Lin, 2007. "Prescription Drug Insurance and Its Effect on Utilization and Health of the Elderly," NBER Working Papers 12848, National Bureau of Economic Research, Inc.
    10. Murat K. Munkin & Pravin K. Trivedi, 2010. "Disentangling incentives effects of insurance coverage from adverse selection in the case of drug expenditure: a finite mixture approach," Health Economics, John Wiley & Sons, Ltd., vol. 19(9), pages 1093-1108, September.
    11. Deborah A. Freund & Don Willison & Grant D. Reeher & Bernie O'Brien & Jarold Cosby & Amy Ferraro, 2000. "Pharmaceuticals and the Elderly: A Comparative Analysis," Center for Policy Research Working Papers 17, Center for Policy Research, Maxwell School, Syracuse University.
    12. Melissa Boyle, 2008. "Costs and Benefits of Elderly Prescription Drug Coverage: Evidence from Veterans’ Health Care," Working Papers 0803, College of the Holy Cross, Department of Economics.
    13. Robert Kaestner & Nasreen Khan, 2010. "Medicare Part D and its Effect on the Use of Prescription Drugs, Use of Other Health Care Services and Health of the Elderly," NBER Working Papers 16011, National Bureau of Economic Research, Inc.
    14. Sabine Vogler & Guillaume Dedet & Hanne Bak Pedersen, 2019. "Financial Burden of Prescribed Medicines Included in Outpatient Benefits Package Schemes: Comparative Analysis of Co-Payments for Reimbursable Medicines in European Countries," Applied Health Economics and Health Policy, Springer, vol. 17(6), pages 803-816, December.
    15. K J Glowacka & R M Henry & J H May, 2009. "A hybrid data mining/simulation approach for modelling outpatient no-shows in clinic scheduling," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 60(8), pages 1056-1068, August.
    16. Panos Kanavos & Marin Gemmill-Toyama, 2010. "Prescription drug coverage among elderly and disabled Americans: can Medicare—Part D reduce inequities in access?," International Journal of Health Economics and Management, Springer, vol. 10(3), pages 203-218, September.
    17. Gowrisankaran Gautam & Town Robert & Barrette Eric, 2011. "Managed Care, Drug Benefits and Mortality: An Analysis of the Elderly," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 11(2), pages 1-32, January.
    18. David Oakley & Bhakti Stephan Onggo & Dave Worthington, 2020. "Symbiotic simulation for the operational management of inpatient beds: model development and validation using Δ-method," Health Care Management Science, Springer, vol. 23(1), pages 153-169, March.
    19. Danny Segev & Retsef Levi & Peter Dunn & Warren Sandberg, 2012. "Modeling the impact of changing patient transportation systems on peri-operative process performance in a large hospital: insights from a computer simulation study," Health Care Management Science, Springer, vol. 15(2), pages 155-169, June.
    20. Pilar Lopez-Llompart & G. Mathias Kondolf, 2016. "Encroachments in floodways of the Mississippi River and Tributaries Project," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 81(1), pages 513-542, March.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:kap:hcarem:v:10:y:2007:i:2:p:195-215. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.