IDEAS home Printed from https://ideas.repec.org/p/chy/respap/91chedp.html
   My bibliography  Save this paper

Economic evaluation of pharmaceuticals: science or marketing?

Author

Listed:
  • Michael Drummond

    (Centre for Health Economics, The University of York)

Abstract

The increased pressures on health care budgets have emphasised the need to demonstrate the value for money from health technologies. Most major pharmaceutical companies have therefore commissioned cost-benefit or cost-effectiveness analysis of their products. There is an assumed analogy between clinical trains, which are required for product licensing, and economic evaluations, which would help in justifying price and securing reimbursement. In most countries it is the responsibility of the pharmaceutical companies to provide adequate data on efficacy and safety, which is monitored by government. Cost-effectiveness data is only required by government in a few countries, although in others, including the United Kingdom, the pharmaceutical industry is being encouraged to provide such data for its products. Although clinical trial data are used in the marketing of products, they are usually perceived as scientific data in support of licensed implications. It is not clear whether the same is true for economic evaluation data, which may be more open to interpretation. This paper explores the extent to which the analogy between clinical trials and economic evaluation really applies. It considers whether there is a greater potential for bias in economic evaluations, whether the use of economic evaluations for price setting raises any ethical concerns, whether clinical endpoints are any ‘harder’ than economic endpoints and whether there is a need to set methodological standards for economic evaluation and to develop methods for scrutinizing the results of studies. It is concluded that, in principle, there should be no more bias in a well-conducted economic evaluation than in a clinical trial. However, economists need to improve the methodological standards of economic evaluations. Priority should be given to basing studies on good medical evidence, making measurements rather than assumptions where feasible, applying conventional tests of statistical significance and improving methods of quality of life measurement. Pharmaceutical sponsors should view economic evaluations as science, although, given the increased interest in value for money, such studies will also be useful in marketing and in encouraging a rational diffusion and use of medicines.

Suggested Citation

  • Michael Drummond, 1991. "Economic evaluation of pharmaceuticals: science or marketing?," Working Papers 091chedp, Centre for Health Economics, University of York.
  • Handle: RePEc:chy:respap:91chedp
    as

    Download full text from publisher

    File URL: http://www.york.ac.uk/media/che/documents/papers/discussionpapers/CHE%20Discussion%20Paper%2091.pdf
    File Function: First version, 1991
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Drummond, Michael F, 1989. "Output Measurement for Resource Allocation Decisions in Health Care," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 5(1), pages 59-74, Spring.
    2. Loomes, Graham & McKenzie, Lynda, 1989. "The use of QALYs in health care decision making," Social Science & Medicine, Elsevier, vol. 28(4), pages 299-308, January.
    3. Abraham Mehrez & Amiram Gafni, 1989. "Quality-adjusted Life Years, Utility Theory, and Healthy-years Equivalents," Medical Decision Making, , vol. 9(2), pages 142-149, June.
    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. Hougaard, Jens Leth & Moreno-Ternero, Juan D. & Østerdal, Lars Peter, 2013. "A new axiomatic approach to the evaluation of population health," Journal of Health Economics, Elsevier, vol. 32(3), pages 515-523.
    2. Mark Sculpher & Amiram Gafni, 2001. "Recognizing diversity in public preferences: The use of preference sub‐groups in cost‐effectiveness analysis," Health Economics, John Wiley & Sons, Ltd., vol. 10(4), pages 317-324, June.
    3. Carmen Herrero Blanco, 2001. "Individual Evidence Of Independence In Health Profiles Evaluation," Working Papers. Serie AD 2001-20, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
    4. Bleichrodt, Han, 1997. "Health utility indices and equity considerations," Journal of Health Economics, Elsevier, vol. 16(1), pages 65-91, February.
    5. James K. Hammitt, 2002. "QALYs Versus WTP," Risk Analysis, John Wiley & Sons, vol. 22(5), pages 985-1001, October.
    6. Bleichrodt, Han, 1995. "QALYs and HYEs: Under what conditions are they equivalent?," Journal of Health Economics, Elsevier, vol. 14(1), pages 17-37, May.
    7. Claude Le Pen, 1997. "Théorie de l'utilité et mesure des états de santé, le débat QALYs-HYEs," Économie et Prévision, Programme National Persée, vol. 129(3), pages 37-54.
    8. Carmen Herrero Blanco, 1998. "- An Alternative Theory Of Health Care Decision Making," Working Papers. Serie AD 1998-15, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
    9. Mike Drummond & Alastair McGuire & Astrid Fletcher, 1993. "Economic evaluation of drug therapy for hypercholesterolaemia in the United Kingdom," Working Papers 104chedp, Centre for Health Economics, University of York.
    10. Charles M. Harvey & Lars Peter Østerdal, 2010. "Cardinal Scales for Health Evaluation," Decision Analysis, INFORMS, vol. 7(3), pages 256-281, September.
    11. Ried, Walter, 1998. "QALYs versus HYEs--what's right and what's wrong. A review of the controversy," Journal of Health Economics, Elsevier, vol. 17(5), pages 607-625, October.
    12. Alejandro Arrieta & Ariadna García‐Prado & Paula González & José Luis Pinto‐Prades, 2017. "Risk attitudes in medical decisions for others: An experimental approach," Health Economics, John Wiley & Sons, Ltd., vol. 26(S3), pages 97-113, December.
    13. Attema, Arthur E. & l’Haridon, Olivier & van de Kuilen, Gijs, 2019. "Measuring multivariate risk preferences in the health domain," Journal of Health Economics, Elsevier, vol. 64(C), pages 15-24.
    14. Diecidue, E. & Schmidt, U. & Wakker, P.P., 2000. "A Theory of the Gambling Effect," Discussion Paper 2000-75, Tilburg University, Center for Economic Research.
    15. John M. Miyamoto & Peter P. Wakker & Han Bleichrodt & Hans J. M. Peters, 1998. "The Zero-Condition: A Simplifying Assumption in QALY Measurement and Multiattribute Utility," Management Science, INFORMS, vol. 44(6), pages 839-849, June.
    16. Coast, Joanna, 2018. "A history that goes hand in hand: Reflections on the development of health economics and the role played by Social Science & Medicine, 1967–2017," Social Science & Medicine, Elsevier, vol. 196(C), pages 227-232.
    17. McNamee, Paul, 2007. "What difference does it make? The calculation of QALY gains from health profiles using patient and general population values," Health Policy, Elsevier, vol. 84(2-3), pages 321-331, December.
    18. Olmstead, Todd & Zeckhauser, Richard, 1999. "The menu-setting problem and subsidized prices: drug formulary illustration," Journal of Health Economics, Elsevier, vol. 18(5), pages 523-550, October.
    19. Krucien, Nicolas & Heidenreich, Sebastian & Gafni, Amiram & Pelletier-Fleury, Nathalie, 2020. "Measuring public preferences in France for potential consequences stemming from re-allocation of healthcare resources," Social Science & Medicine, Elsevier, vol. 246(C).
    20. Matthew Franklin & James Lomas & Gerry Richardson, 2020. "Conducting Value for Money Analyses for Non-randomised Interventional Studies Including Service Evaluations: An Educational Review with Recommendations," PharmacoEconomics, Springer, vol. 38(7), pages 665-681, July.

    More about this item

    Keywords

    pharmaceutical industry; clinical trials;

    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:chy:respap:91chedp. 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: Gill Forder (email available below). General contact details of provider: https://edirc.repec.org/data/chyoruk.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.