IDEAS home Printed from https://ideas.repec.org/p/rug/rugwps/03-180.html
   My bibliography  Save this paper

The Cost-Effectiveness of Herceptin® in a Standard Cost Model for Breast-Cancer Treatment in a Belgian University Hospital

Author

Listed:
  • M. NEYT
  • J. ALBRECHT
  • B. CLARYSSE
  • V. COCQUYT

Abstract

Objective: The objective of this study was to set up a standard cost model for breast-cancer treatment to be able to complete a cost-effectiveness analysis of Herceptin®. This is a new biotechnological pharmaceutical developed by Genentech. Herceptin® is a humanized monoclonal antibody that targets the HER2 receptor, an important anticancer target. Method A cost model with standard diagnostic and treatment options for breast cancer was set up for a Belgian university hospital to calculate monthly standard treatment costs from this hospital’s point of view. With the exception of the hospital-stay price, all costs were measured in a direct way. Effectiveness was estimated through literature study. With an incremental costeffectiveness analysis, differences in costs and effectiveness with and without Herceptin® were compared. Results When looking at the period starting from diagnosis and ending in the metastatic phase, monthly costs for the hospital rose from € 113.06 to € 121.32 when adding Herceptin® to the model. When looking at the metastatic phase, these costs rose from € 1,132.33 to € 1,256.23. When observing the incremental cost-effectiveness ratio, an extra cost of € 3,981.44 per extra life-month was found. This cost was rather high because Herceptin® was quite expensive and the product was additive in its current use and did not completely or partially replace existing treatments. Cost consequences were even more pronounced when this exercise was done for a hypothetical situation, in which Herceptin® was included in the metastatic phase of the treatment model as a single agent and in combination with Taxotere®.

Suggested Citation

  • M. Neyt & J. Albrecht & B. Clarysse & V. Cocquyt, 2003. "The Cost-Effectiveness of Herceptin® in a Standard Cost Model for Breast-Cancer Treatment in a Belgian University Hospital," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 03/180, Ghent University, Faculty of Economics and Business Administration.
    • Handle: RePEc:rug:rugwps:03/180
    as

    Download full text from publisher

    File URL: http://wps-feb.ugent.be/Papers/wp_03_180.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Schoors, Koen, 2002. "Should the Central and Eastern European Accession Countries Adopt the Euro before or after Accession?," Economic Change and Restructuring, Springer, vol. 35(1), pages 47-77.
    2. Bouckaert, Jan, 2002. "Bargaining in markets with simultaneous and sequential suppliers," Journal of Economic Behavior & Organization, Elsevier, vol. 48(3), pages 319-334, July.
    3. Geert Dhaene & Olivier Scaillet, 2000. "Reversed Score and Likelihood Ratio Tests," Econometric Society World Congress 2000 Contributed Papers 1746, Econometric Society.
    4. Gobbin, Niko & van Aarle, Bas, 2001. "Fiscal Adjustments and Their Effects during the Transition to the EMU," Public Choice, Springer, vol. 109(3-4), pages 269-299, December.
    5. Baesens, Bart & Verstraeten, Geert & Van den Poel, Dirk & Egmont-Petersen, Michael & Van Kenhove, Patrick & Vanthienen, Jan, 2004. "Bayesian network classifiers for identifying the slope of the customer lifecycle of long-life customers," European Journal of Operational Research, Elsevier, vol. 156(2), pages 508-523, July.
    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. D. Van den Poel, 2003. "Predicting Mail-Order Repeat Buying. Which Variables Matter?," Review of Business and Economic Literature, KU Leuven, Faculty of Economics and Business (FEB), Review of Business and Economic Literature, vol. 0(3), pages 371-404.

    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. D. Van den Poel, 2003. "Predicting Mail-Order Repeat Buying. Which Variables Matter?," Review of Business and Economic Literature, KU Leuven, Faculty of Economics and Business (FEB), Review of Business and Economic Literature, vol. 0(3), pages 371-404.
    2. Seret, Alex & Verbraken, Thomas & Versailles, Sébastien & Baesens, Bart, 2012. "A new SOM-based method for profile generation: Theory and an application in direct marketing," European Journal of Operational Research, Elsevier, vol. 220(1), pages 199-209.
    3. Syed Sadaqat Ali Shah & Muhammad Asim Afridi, 2023. "Cyclical variation of fiscal multipliers in Caucasus and Central Asia economies: an empirical evidence," Economic Change and Restructuring, Springer, vol. 56(6), pages 4531-4563, December.
    4. Rachel A. Epstein & Juliet Johnson, 2010. "Uneven Integration: Economic and Monetary Union in Central and Eastern Europe," Journal of Common Market Studies, Wiley Blackwell, vol. 48(5), pages 1237-1260, November.
    5. Maria Neicheva, 2006. "Non-Keynesian Effects of Government Expenditure on Output in Bulgaria: An HP Filter Approach," Post-Communist Economies, Taylor & Francis Journals, vol. 18(1), pages 1-12.
    6. R Fildes & K Nikolopoulos & S F Crone & A A Syntetos, 2008. "Forecasting and operational research: a review," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 59(9), pages 1150-1172, September.
    7. Ülengin, Füsun & Önsel, Şule & Aktas, Emel & Kabak, Özgür & Özaydın, Özay, 2014. "A decision support methodology to enhance the competitiveness of the Turkish automotive industry," European Journal of Operational Research, Elsevier, vol. 234(3), pages 789-801.
    8. Muhammad Naeem Anjum & Bi Xiuchun & Jaffar Abbas & Zhang Shuguang, 2017. "Analyzing predictors of customer satisfaction and assessment of retail banking problems in Pakistan," Cogent Business & Management, Taylor & Francis Journals, vol. 4(1), pages 1338842-133, January.
    9. Wang, Xue & Bohn, Frank & Veiga, Francisco José, 2023. "When do more selfish politicians manipulate less, not more?," European Journal of Political Economy, Elsevier, vol. 77(C).
    10. Afonso, António & Jalles, João Tovar, 2014. "Assessing fiscal episodes," Economic Modelling, Elsevier, vol. 37(C), pages 255-270.
    11. Prinzie, Anita & Van den Poel, Dirk, 2006. "Investigating purchasing-sequence patterns for financial services using Markov, MTD and MTDg models," European Journal of Operational Research, Elsevier, vol. 170(3), pages 710-734, May.
    12. Jonker, J.-J. & Piersma, N. & Van den Poel, D., 2002. "Joint optimization of customer segmentation and marketing policy to maximize long-term profitability," Econometric Institute Research Papers EI 2002-18, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    13. Md. Rabbi & Syed Mithun Ali & Golam Kabir & Zuhayer Mahtab & Sanjoy Kumar Paul, 2020. "Green Supply Chain Performance Prediction Using a Bayesian Belief Network," Sustainability, MDPI, vol. 12(3), pages 1-19, February.
    14. Lee, Changyong & Song, Bomi & Park, Yongtae, 2015. "An instrument for scenario-based technology roadmapping: How to assess the impacts of future changes on organisational plans," Technological Forecasting and Social Change, Elsevier, vol. 90(PA), pages 285-301.
    15. Bruno Merlevede & Joseph Plasmans & Bas van Aarle, 2003. "A Small Macroeconomic Model of the EU-Accession Countries," Open Economies Review, Springer, vol. 14(3), pages 221-250, July.
    16. Alain Raybaut & Dominique Torre, 2004. "Unions monétaires, caisses d'émission et dollarisation : les fondements analytiques des systèmes de change « ultra-fixes »," Revue d'Économie Financière, Programme National Persée, vol. 75(2), pages 37-54.
    17. Rachel A. Epstein & Juliet Johnson, 2010. "Uneven Integration: Economic and Monetary Union in Central and Eastern Europe," Journal of Common Market Studies, Wiley Blackwell, vol. 48, pages 1237-1260, November.
    18. A. Prinzie & D. Van Den Poel, 2005. "Incorporating sequential information into traditional classification models by using an element/position- sensitive SAM," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 05/292, Ghent University, Faculty of Economics and Business Administration.
    19. Arbore, Alessandro & Busacca, Bruno, 2009. "Customer satisfaction and dissatisfaction in retail banking: Exploring the asymmetric impact of attribute performances," Journal of Retailing and Consumer Services, Elsevier, vol. 16(4), pages 271-280.
    20. Van den Poel, Dirk & Buckinx, Wouter, 2005. "Predicting online-purchasing behaviour," European Journal of Operational Research, Elsevier, vol. 166(2), pages 557-575, October.

    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:rug:rugwps:03/180. 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: Nathalie Verhaeghe (email available below). General contact details of provider: https://edirc.repec.org/data/ferugbe.html .

    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.