IDEAS home Printed from https://ideas.repec.org/a/eee/hepoli/v84y2007i1p1-13.html

The effects of coxib formulary restrictions on analgesic use and cost: Regional evidence from Canada

Author

Listed:
  • Marshall, Deborah A.
  • Willison, Donald J.
  • Grootendorst, Paul
  • LeLorier, Jacques
  • Maclure, Malcolm
  • Kulin, Nathalie A.
  • Sheehy, Odile E.
  • Warren, Leanne
  • Sykora, Kathy
  • Rahme, Elham

Abstract

Background Public insurance plans for pharmaceuticals in Canada differ substantially across provinces in the conditions under which pharmaceuticals are reimbursed. Coxibs provide a good example. Québec had no restrictions on reimbursement for these drugs. Ontario required physicians to submit the clinical indications for their use on the prescription. British Columbia required physicians to seek and receive prior authorisation from the drug plan.Objective This study compares the effects of different reimbursement policies on coxib, non-selective non-steroidal anti-inflammatory drugs (nsNSAIDs), and gastro-protective agent (GPA) use and cost.Study design Analysis of retrospective time series analysis of all NSAID and GPA administrative claims data from April 1997 through December 2002.Setting Administrative claims data from April 1997 through December 2002 for each of the publicly funded drug plans in Québec, Ontario, and British Columbia. In addition, we obtained data from BC PharmaNet, which records all dispensed prescriptions in British Columbia.Patients or other participants Senior beneficiaries (>= 65 years).Main outcome measure We compared the projected total NSAID utilisation in the absence of coxib reimbursement restriction with actual utilisation by province and drug category. Projected utilisation was based on ARIMA modelling and reported as the number of defined daily doses (DDDs) per 100 senior (>=65 years) beneficiaries/month.Results In Ontario, under its "limited use" policy, uptake and steady-state use of coxibs was similar to that in Québec, where there were no restrictions. In British Columbia, publicly funded use of coxibs was 6% of that in Ontario and Québec. Despite a shift to private reimbursement, total coxib use in BC was only 50% of use in Ontario and Québec. The use of all NSAIDS (nsNSAIDS plus coxibs) increased for all provincial drug plans except for BC. The increase and overall rate of total NSAID use was greatest in Ontario. Neither Ontario's nor BC's policies had an impact on use of nsNSAIDs or GPAs.Conclusion Only BC's policy effectively limited publicly funded coxib use. However, there was substantial cost-shifting to out-of-pocket and third party insurance plans in BC.

Suggested Citation

  • Marshall, Deborah A. & Willison, Donald J. & Grootendorst, Paul & LeLorier, Jacques & Maclure, Malcolm & Kulin, Nathalie A. & Sheehy, Odile E. & Warren, Leanne & Sykora, Kathy & Rahme, Elham, 2007. "The effects of coxib formulary restrictions on analgesic use and cost: Regional evidence from Canada," Health Policy, Elsevier, vol. 84(1), pages 1-13, November.
  • Handle: RePEc:eee:hepoli:v:84:y:2007:i:1:p:1-13
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0168-8510(07)00104-2
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    References listed on IDEAS

    as
    1. Whitney Newey & Kenneth West, 2014. "A simple, positive semi-definite, heteroscedasticity and autocorrelation consistent covariance matrix," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 33(1), pages 125-132.
    Full references (including those not matched with items on IDEAS)

    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. Gric, Zuzana & Ehrenbergerova, Dominika & Hodula, Martin, 2022. "The power of sentiment: Irrational beliefs of households and consumer loan dynamics," Journal of Financial Stability, Elsevier, vol. 59(C).
    2. Qazi Haque & Leandro M. Magnusson, 2020. "Identification robust empirical evidence on the Euler equation in open economies," Economics Discussion / Working Papers 20-01, The University of Western Australia, Department of Economics.
    3. Alex Ilek & Tanya Suchoy & Nir Klein, 2006. "Estimating the premium implicit in the yields of Treasury Bills," Israel Economic Review, Bank of Israel, vol. 4(2), pages 53-83.
    4. Andrew M. McKenzie & Bingrong Jiang & Harjanto Djunaidi & Linwood A. Hoffman & Eric J. Wailes, 2002. "Unbiasedness and Market Efficiency Tests of the U.S. Rice Futures Market," Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 24(2), pages 474-493.
    5. Chang, Eric C. & Cheng, Joseph W. & Khorana, Ajay, 2000. "An examination of herd behavior in equity markets: An international perspective," Journal of Banking & Finance, Elsevier, vol. 24(10), pages 1651-1679, October.
    6. Narayan, Seema & Narayan, Paresh Kumar & Tobing, Lutzardo, 2021. "Has tourism influenced Indonesia’s current account?," Economic Analysis and Policy, Elsevier, vol. 69(C), pages 225-237.
    7. Stephen Brown & William Goetzmann & Bing Liang & Christopher Schwarz, 2008. "Mandatory Disclosure and Operational Risk: Evidence from Hedge Fund Registration," Journal of Finance, American Finance Association, vol. 63(6), pages 2785-2815, December.
    8. Evans, Kevin P. & Speight, Alan E.H., 2010. "Intraday periodicity, calendar and announcement effects in Euro exchange rate volatility," Research in International Business and Finance, Elsevier, vol. 24(1), pages 82-101, January.
    9. Monica Paiella, 2007. "The Forgone Gains of Incomplete Portfolios," The Review of Financial Studies, Society for Financial Studies, vol. 20(5), pages 1623-1646, 2007 13.
    10. Aslanidis, Nektarios & Christiansen, Charlotte, 2012. "Smooth transition patterns in the realized stock–bond correlation," Journal of Empirical Finance, Elsevier, vol. 19(4), pages 454-464.
    11. Croce, M.M. & Nguyen, Thien T. & Raymond, S. & Schmid, L., 2019. "Government debt and the returns to innovation," Journal of Financial Economics, Elsevier, vol. 132(3), pages 205-225.
    12. Cho, Guedae & Kim, MinKyoung & Koo, Won W., 2003. "Relative Agricultural Price Changes In Different Time Horizons," 2003 Annual meeting, July 27-30, Montreal, Canada 22249, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    13. Bissoondeeal, Rakesh K. & Karoglou, Michail & Binner, Jane M., 2019. "Structural changes and the role of monetary aggregates in the UK," Journal of Financial Stability, Elsevier, vol. 42(C), pages 100-107.
    14. Bua, Giovanna & Kapp, Daniel & Ramella, Federico & Rognone, Lavinia, 2022. "Transition versus physical climate risk pricing in European financial markets: a text-based approach," Working Paper Series 2677, European Central Bank.
    15. Ju Ryum Chung & Eun Jung Cho & Ho-Young Lee & Myungsoo Son, 2017. "The impact of labour unions on external auditor selection and audit scope: evidence from the Korean market," Applied Economics, Taylor & Francis Journals, vol. 49(48), pages 4833-4850, October.
    16. David Hirshleifer & Danling Jiang, 2010. "A Financing-Based Misvaluation Factor and the Cross-Section of Expected Returns," The Review of Financial Studies, Society for Financial Studies, vol. 23(9), pages 3401-3436.
    17. Comerton-Forde, Carole & Do, Binh Huu & Gray, Philip & Manton, Tom, 2016. "Assessing the information content of short-selling metrics using daily disclosures," Journal of Banking & Finance, Elsevier, vol. 64(C), pages 188-204.
    18. Shi, Huai-Long & Zhou, Wei-Xing, 2022. "Factor volatility spillover and its implications on factor premia," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 80(C).
    19. Madhav V. Rajan & Stefan Reichelstein & Mark T. Soliman, 2007. "Conservatism, growth, and return on investment," Review of Accounting Studies, Springer, vol. 12(2), pages 325-370, September.
    20. Bonciani, Dario, 2015. "Estimating the effects of uncertainty over the business cycle," MPRA Paper 65921, University Library of Munich, Germany.

    More about this item

    Keywords

    ;

    Statistics

    Access and download statistics

    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:eee:hepoli:v:84:y:2007:i:1:p:1-13. 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: Catherine Liu or the person in charge (email available below). General contact details of provider: http://www.elsevier.com/locate/healthpol .

    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.