IDEAS home Printed from https://ideas.repec.org/a/spr/eujhec/v9y2008i1p69-78.html
   My bibliography  Save this article

Willingness to pay for a reduction in mortality risk after a myocardial infarction: an application of the contingent valuation method to the case of eplerenone

Author

Listed:
  • Jose-Luis Pinto-Prades
  • Veronica Farreras
  • Jaime de Bobadilla

Abstract

Background: In order to allocate health care resources more efficiently it is necessary to relate health improvements provided by new medicines with their cost. It is necessary to ascertain when the additional cost of introducing a new health technology is justified by the additional health gain produced. Eplerenone is a new medicine that reduces the risk of death after myocardial infarction (MI) but produces additional cost to the health system. The contingent valuation approach can be used to measure the monetary value of this risk reduction. Objective: to estimate society’s willingness to pay (WTP) for a new medicine that reduces by 2% the risk of death after MI. Methods: We used a contingent valuation approach to evaluate WTP amongst members of the general population. We used the ex-ante and the ex-post approach. In the ex-ante approach subjects are asked if they would accept an increase in their taxes in order to have access to Eplerenone should they need it in the future. In the ex-post approach subjects are asked if they would pay a certain amount of money as co-payment per month during five years if they suffered a MI. We used the Dichotomous Choice method, using five bids in each approach. The WTP was estimated using both single-bound and double-bound dichotomous choice (SBDC, DBDC). Extensive piloting (n=187) preceded the final survey (n=350). Results: The WTP in the ex-ante case was €58 per year under both SBDC and DBDC. In the ex-post case monthly WTP was €144 for the SBDC and €85 for the DBDC. Subjects with higher income and subjects with a higher perception of risk showed a higher WTP (p
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Jose-Luis Pinto-Prades & Veronica Farreras & Jaime de Bobadilla, 2008. "Willingness to pay for a reduction in mortality risk after a myocardial infarction: an application of the contingent valuation method to the case of eplerenone," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 9(1), pages 69-78, February.
    • Handle: RePEc:spr:eujhec:v:9:y:2008:i:1:p:69-78
    DOI: 10.1007/s10198-007-0041-x
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s10198-007-0041-x
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1007/s10198-007-0041-x?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 look for a different version below or search for a different version of it.

    Other versions of this item:

    References listed on IDEAS

    as
    1. DeShazo, J. R., 2002. "Designing Transactions without Framing Effects in Iterative Question Formats," Journal of Environmental Economics and Management, Elsevier, vol. 43(3), pages 360-385, May.
    2. James Murphy & P. Allen & Thomas Stevens & Darryl Weatherhead, 2005. "A Meta-analysis of Hypothetical Bias in Stated Preference Valuation," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 30(3), pages 313-325, March.
    3. Richard Carson & Nicholas Flores & Norman Meade, 2001. "Contingent Valuation: Controversies and Evidence," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 19(2), pages 173-210, June.
    4. Peter A. Ubel & Jeff Richardson & Paul Menzel, 2000. "Societal value, the person trade‐off, and the dilemma of whose values to measure for cost‐effectiveness analysis," Health Economics, John Wiley & Sons, Ltd., vol. 9(2), pages 127-136, March.
    5. Richard Carson & Theodore Groves, 2007. "Incentive and informational properties of preference questions," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 37(1), pages 181-210, May.
    6. Bernie O'Brien & Amiram Gafni, 1996. "When Do the "Dollars" Make Sense?," Medical Decision Making, , vol. 16(3), pages 288-299, August.
    7. Michael Hanemann & John Loomis & Barbara Kanninen, 1991. "Statistical Efficiency of Double-Bounded Dichotomous Choice Contingent Valuation," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 73(4), pages 1255-1263.
    8. Richard T. Carson, 2011. "Contingent Valuation," Books, Edward Elgar Publishing, number 2489.
    9. Anna Alberini & James R. Kahn (ed.), 2006. "Handbook on Contingent Valuation," Books, Edward Elgar Publishing, number 1893.
    10. Joseph C. Cooper & Michael Hanemann & Giovanni Signorello, 2002. "One-and-One-Half-Bound Dichotomous Choice Contingent Valuation," The Review of Economics and Statistics, MIT Press, vol. 84(4), pages 742-750, November.
    11. Barbara J. Kanninen & M. Sami Khawaja, 1999. "Measuring Goodness of Fit for the Double-Bounded Logit Model: Reply," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 81(1), pages 238-240.
    12. Johannesson, Magnus, 1996. "A note on the relationship between ex ante and expected willingness to pay for health care," Social Science & Medicine, Elsevier, vol. 42(3), pages 305-311, February.
    13. Krinsky, Itzhak & Robb, A Leslie, 1986. "On Approximating the Statistical Properties of Elasticities," The Review of Economics and Statistics, MIT Press, vol. 68(4), pages 715-719, November.
    14. Joseph C. Cooper & Michael Hanemann & Giovanni Signorello, 2002. "One-and-One-Half-Bound Dichotomous Choice Contingent Valuation," The Review of Economics and Statistics, MIT Press, vol. 84(4), pages 742-750, November.
    15. Olsen, Jan Abel & Kidholm, Kristian & Donaldson, Cam & Shackley, Phil, 2004. "Willingness to pay for public health care: a comparison of two approaches," Health Policy, Elsevier, vol. 70(2), pages 217-228, November.
    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. Daniel E. Jonas & Louise B. Russell & Jon Chou & Michael Pignone, 2010. "Willingness‐to‐pay to avoid the time spent and discomfort associated with screening colonoscopy," Health Economics, John Wiley & Sons, Ltd., vol. 19(10), pages 1193-1211, October.
    2. Jacoline Bouvy & Just Weemers & Huub Schellekens & Marc Koopmanschap, 2011. "Willingness to Pay for Adverse Drug Event Regulatory Actions," PharmacoEconomics, Springer, vol. 29(11), pages 963-975, November.
    3. Raul Brey & Jose Luis Pinto-Prades, 2017. "Age effects in mortality risk valuation," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 18(7), pages 921-932, September.
    4. Farr, Marina & Stoeckl, Natalie, 2018. "Overoptimism and the undervaluation of ecosystem services: A case-study of recreational fishing in Townsville, adjacent to the Great Barrier Reef," Ecosystem Services, Elsevier, vol. 31(PC), pages 433-444.

    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. Halkos, George, 2012. "The use of contingent valuation in assessing marine and coastal ecosystems’ water quality: A review," MPRA Paper 42183, University Library of Munich, Germany.
    2. M. Genius & E. Strazzera, 2005. "Modeling Elicitation effects in contingent valuation studies: a Monte Carlo Analysis of the bivariate approach," Working Paper CRENoS 200502, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.
    3. David Hoyos & Petr Mariel, 2010. "Contingent Valuation: Past, Present and Future," Prague Economic Papers, Prague University of Economics and Business, vol. 2010(4), pages 329-343.
    4. Henry-Osorio, Miguel & Mittelhammer, Ronald C., 2012. "An Information-Theoretic Approach to Modeling Binary Choices: Estimating Willingness to Pay for Recreation Site Attributes," 2012 Annual Meeting, August 12-14, 2012, Seattle, Washington 123432, Agricultural and Applied Economics Association.
    5. Richard Carson & Jordan Louviere, 2011. "A Common Nomenclature for Stated Preference Elicitation Approaches," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 49(4), pages 539-559, August.
    6. Sardana, Kavita, 2019. "Tourists' Willingness to Pay for Restoration of Traditional Agro-forest Ecosystems Providing Biodiversity: Evidence from India," Ecological Economics, Elsevier, vol. 159(C), pages 362-372.
    7. Seul-Ye Lim & So-Yeon Park & Seung-Hoon Yoo, 2017. "The Environmental Conservation Value of the Saemangeum Open Sea in Korea," Sustainability, MDPI, vol. 9(11), pages 1-14, November.
    8. Robert J. Johnston & Kevin J. Boyle & Wiktor (Vic) Adamowicz & Jeff Bennett & Roy Brouwer & Trudy Ann Cameron & W. Michael Hanemann & Nick Hanley & Mandy Ryan & Riccardo Scarpa & Roger Tourangeau & Ch, 2017. "Contemporary Guidance for Stated Preference Studies," Journal of the Association of Environmental and Resource Economists, University of Chicago Press, vol. 4(2), pages 319-405.
    9. Catherine L. Kling & Daniel J. Phaneuf & Jinhua Zhao, 2012. "From Exxon to BP: Has Some Number Become Better Than No Number?," Journal of Economic Perspectives, American Economic Association, vol. 26(4), pages 3-26, Fall.
    10. Lim, Seul-Ye & Kim, Hyo-Jin & Yoo, Seung-Hoon, 2017. "Public's willingness to pay a premium for bioethanol in Korea: A contingent valuation study," Energy Policy, Elsevier, vol. 101(C), pages 20-27.
    11. Richard T. Carson, 2011. "Contingent Valuation," Books, Edward Elgar Publishing, number 2489.
    12. Paul Mwebaze & Jeff Bennett & Nigel W. Beebe & Gregor J. Devine & Paul Barro, 2018. "Economic Valuation of the Threat Posed by the Establishment of the Asian Tiger Mosquito in Australia," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 71(2), pages 357-379, October.
    13. Corsi, Alessandro, 2012. "Willingness-to-pay in terms of price: an application to organic beef during and after the “mad cow” crisis," Revue d'Etudes en Agriculture et Environnement, Editions NecPlus, vol. 92(01), pages 25-46, October.
    14. Ju-Hee Kim & Ga-Eun Kim & Seung-Hoon Yoo, 2018. "A Valuation of the Restoration of Hwangnyongsa Temple in South Korea," Sustainability, MDPI, vol. 10(2), pages 1-7, January.
    15. Kim, Hyo-Jin & Lee, Hye-Jeong & Yoo, Seung-Hoon, 2018. "Are South Korean people willing to pay for official development assistance for building renewable power plants in developing countries?," Energy Policy, Elsevier, vol. 118(C), pages 626-632.
    16. Dahal, Ram P. & Grala, Robert K. & Gordon, Jason S. & Petrolia, Daniel R. & Munn, Ian A., 2018. "Estimating the willingness to pay to preserve waterfront open spaces using contingent valuation," Land Use Policy, Elsevier, vol. 78(C), pages 614-626.
    17. Gelo, Dambala & Koch, Steven F., 2015. "Contingent valuation of community forestry programs in Ethiopia: Controlling for preference anomalies in double-bounded CVM," Ecological Economics, Elsevier, vol. 114(C), pages 79-89.
    18. Genius, Margarita & Strazzera, Elisabetta, 2011. "Can unbiased be tighter? Assessment of methods to reduce the bias-variance trade-off in WTP estimation," Resource and Energy Economics, Elsevier, vol. 33(1), pages 293-314, January.
    19. Jae Kim & Seung-Nam Kim & Soogwan Doh, 2015. "The distance decay of willingness to pay and the spatial distribution of benefits and costs for the ecological restoration of an urban branch stream in Ulsan, South Korea," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 54(3), pages 835-853, May.
    20. Aravena, Claudia & Hutchinson, W. George & Carlsson, Fredrik & Matthews, David I, 2015. "Testing preference formation in learning design contingent valuation (LDCV) using advanced information and repetitivetreatments," Working Papers in Economics 619, University of Gothenburg, Department of Economics.

    More about this item

    Keywords

    Contingent valuation; Myocardial infarction; Mortality; Cost-benefit;
    All these keywords.

    JEL classification:

    • I10 - Health, Education, and Welfare - - Health - - - General

    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:spr:eujhec:v:9:y:2008:i:1:p:69-78. 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.