IDEAS home Printed from https://ideas.repec.org/a/sae/medema/v24y2004i5p472-485.html
   My bibliography  Save this article

Pramipexole v. Levodopa as Initial Treatment for Parkinson’s Disease: A Randomized Clinical-Economic Trial

Author

Listed:
  • Katia Noyes
  • Andrew W. Dick

    (Department of Community and Preventive Medicine, University of Rochester School of Medicine, Rochester, New York.)

  • Robert G. Holloway

    (Department of Community and the Department of Neurology, University of Rochester School of Medicine, Rochester, New York; 601 Elmwood Ave., Box 673, Rochester, NY 14642; telephone: (585) 273-4241robert.holloway@ctcc.rochester.edu.)

Abstract

Purpose . To determine the 2-year incremental cost effectiveness of initial pramipexole treatment compared with initial levodopa treatment in patientswith early Parkinson’s disease (PD) . Methods . 301 subjects with early PD were randomized to either pramipexole or levodopa and followed every 3 months over a 2-year period. Costs were assigned to patient collected health utilization data using a variety of methods. Health state preferences were estimated using the EuroQol . Results . Pramipexole strategy was an estimated $2,138 (SE = $1,182) more expensive than levodopa strategy. The incremental cost-effectiveness of pramipexole compared with levodopa was $106,900/QALY (EQ-5D), compared with pramipexole being dominated by levodopa using the EQVAS . Conclusions .Although considerable uncertainty exists in the 2-year cost-effectiveness of initial pramipexole compared with initial levodopa in the treatment of early PD, our estimates suggest that pramipexole may not be welfare enhancing during the first 2 years of treatment. If initial pramipexole results in long-term improvements in quality of life, its cost-effectiveness will become more favorable.

Suggested Citation

  • Katia Noyes & Andrew W. Dick & Robert G. Holloway, 2004. "Pramipexole v. Levodopa as Initial Treatment for Parkinson’s Disease: A Randomized Clinical-Economic Trial," Medical Decision Making, , vol. 24(5), pages 472-485, October.
    • Handle: RePEc:sae:medema:v:24:y:2004:i:5:p:472-485
    DOI: 10.1177/0272989X04268960
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/0272989X04268960
    Download Restriction: no
    File URL: https://libkey.io/10.1177/0272989X04268960?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
    ---><---

    References listed on IDEAS

    as
    1. Jeffrey S. Hoch & Andrew H. Briggs & Andrew R. Willan, 2002. "Something old, something new, something borrowed, something blue: a framework for the marriage of health econometrics and cost‐effectiveness analysis," Health Economics, John Wiley & Sons, Ltd., vol. 11(5), pages 415-430, July.
    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. Noemi Kreif & Richard Grieve & Rosalba Radice & Zia Sadique & Roland Ramsahai & Jasjeet S. Sekhon, 2012. "Methods for Estimating Subgroup Effects in Cost-Effectiveness Analyses That Use Observational Data," Medical Decision Making, , vol. 32(6), pages 750-763, November.
    2. Noémi Kreif & Richard Grieve & M. Zia Sadique, 2013. "Statistical Methods For Cost‐Effectiveness Analyses That Use Observational Data: A Critical Appraisal Tool And Review Of Current Practice," Health Economics, John Wiley & Sons, Ltd., vol. 22(4), pages 486-500, April.
    3. Qi Cao & Erik Buskens & Hans L. Hillege & Tiny Jaarsma & Maarten Postma & Douwe Postmus, 2019. "Stratified treatment recommendation or one-size-fits-all? A health economic insight based on graphical exploration," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 20(3), pages 475-482, April.
    4. Abualbishr Alshreef & Allan J. Wailoo & Steven R. Brown & James P. Tiernan & Angus J. M. Watson & Katie Biggs & Mike Bradburn & Daniel Hind, 2017. "Cost-Effectiveness of Haemorrhoidal Artery Ligation versus Rubber Band Ligation for the Treatment of Grade II–III Haemorrhoids: Analysis Using Evidence from the HubBLe Trial," PharmacoEconomics - Open, Springer, vol. 1(3), pages 175-184, September.
    5. Jasjeet Singh Sekhon & Richard D. Grieve, 2012. "A matching method for improving covariate balance in cost‐effectiveness analyses," Health Economics, John Wiley & Sons, Ltd., vol. 21(6), pages 695-714, June.
    6. Andrea Manca & Neil Hawkins & Mark J. Sculpher, 2005. "Estimating mean QALYs in trial‐based cost‐effectiveness analysis: the importance of controlling for baseline utility," Health Economics, John Wiley & Sons, Ltd., vol. 14(5), pages 487-496, May.
    7. A. Gafni & S. D. Walter & S. Birch & P. Sendi, 2008. "An opportunity cost approach to sample size calculation in cost‐effectiveness analysis," Health Economics, John Wiley & Sons, Ltd., vol. 17(1), pages 99-107, January.
    8. Richard Grieve & Richard Nixon & Simon G. Thompson & Charles Normand, 2005. "Using multilevel models for assessing the variability of multinational resource use and cost data," Health Economics, John Wiley & Sons, Ltd., vol. 14(2), pages 185-196, February.
    9. Gemma E. Shields & Mark Wilberforce & Paul Clarkson & Tracey Farragher & Arpana Verma & Linda M. Davies, 2022. "Factors Limiting Subgroup Analysis in Cost-Effectiveness Analysis and a Call for Transparency," PharmacoEconomics, Springer, vol. 40(2), pages 149-156, February.
    10. John Hutton, 2012. "‘Health Economics’ and the evolution of economic evaluation of health technologies," Health Economics, John Wiley & Sons, Ltd., vol. 21(1), pages 13-18, January.
    11. Christian Brettschneider & Sebastian Kohlmann & Benjamin Gierk & Bernd Löwe & Hans-Helmut König, 2017. "Depression screening with patient-targeted feedback in cardiology: The cost-effectiveness of DEPSCREEN-INFO," PLOS ONE, Public Library of Science, vol. 12(8), pages 1-15, August.
    12. Claudia Schulz & Gisela Büchele & Raphael S. Peter & Dietrich Rothenbacher & Christian Brettschneider & Ulrich C. Liener & Clemens Becker & Kilian Rapp & Hans-Helmut König, 2021. "Health-economic evaluation of collaborative orthogeriatric care for patients with a hip fracture in Germany: a retrospective cohort study using health and long-term care insurance claims data," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 22(6), pages 873-885, August.
    13. Yu-Wen Wen & Yi-Wen Tsai & David Bin-Chia Wu & Pei-Fen Chen, 2013. "The Impact of Outliers on Net-Benefit Regression Model in Cost-Effectiveness Analysis," PLOS ONE, Public Library of Science, vol. 8(6), pages 1-9, June.
    14. Wanrudee Isaranuwatchai & Maureen Markle-Reid & Jeffrey Hoch, 2015. "Adjusting for Baseline Covariates in Net Benefit Regression: How You Adjust Matters," PharmacoEconomics, Springer, vol. 33(10), pages 1083-1090, October.
    15. Ya-Chen Shih & Nebiyou Bekele & Ying Xu, 2007. "Use of Bayesian Net Benefit Regression Model to Examine the Impact of Generic Drug Entry on the Cost Effectiveness of Selective Serotonin Reuptake Inhibitors in Elderly Depressed Patients," PharmacoEconomics, Springer, vol. 25(10), pages 843-862, October.
    16. Lynch, Frances L. & Dickerson, John F. & Saldana, Lisa & Fisher, Phillip A., 2014. "Incremental net benefit of early intervention for preschool-aged children with emotional and behavioral problems in foster care," Children and Youth Services Review, Elsevier, vol. 36(C), pages 213-219.
    17. Richard M. Nixon & David Wonderling & Richard D. Grieve, 2010. "Non‐parametric methods for cost‐effectiveness analysis: the central limit theorem and the bootstrap compared," Health Economics, John Wiley & Sons, Ltd., vol. 19(3), pages 316-333, March.
    18. Lukasz Tanajewski & Matthew Franklin & Georgios Gkountouras & Vladislav Berdunov & Judi Edmans & Simon Conroy & Lucy E Bradshaw & John R F Gladman & Rachel A Elliott, 2015. "Cost-Effectiveness of a Specialist Geriatric Medical Intervention for Frail Older People Discharged from Acute Medical Units: Economic Evaluation in a Two-Centre Randomised Controlled Trial (AMIGOS)," PLOS ONE, Public Library of Science, vol. 10(5), pages 1-18, May.
    19. Andrea Manca & Nigel Rice & Mark J. Sculpher & Andrew H. Briggs, 2005. "Assessing generalisability by location in trial‐based cost‐effectiveness analysis: the use of multilevel models," Health Economics, John Wiley & Sons, Ltd., vol. 14(5), pages 471-485, May.
    20. Richard Grieve & John Cairns & Simon G. Thompson, 2010. "Improving costing methods in multicentre economic evaluation: the use of multiple imputation for unit costs," Health Economics, John Wiley & Sons, Ltd., vol. 19(8), pages 939-954, August.

    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:sae:medema:v:24:y:2004:i:5:p:472-485. 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: SAGE Publications (email available below). General contact details of provider: .

    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.