IDEAS home Printed from https://ideas.repec.org/p/ven/wpaper/201925.html
   My bibliography  Save this paper

The role of heterogeneity of patients' preferences in kidney transplantation

Author

Listed:
  • Mesfin G. Genie

    (Department of Economics, Ca' Foscari University of Venice)

  • Antonio Nicolò

    (Dipartimento di Scienze Economiche "Marco Fanno", Università degli Studi di Padova; School of Social Sciences, The University of Manchester)

  • Giacomo Pasini

    (Ca' Foscari University of Venice; NETSPAR, Network for Studies on Pensions, Ageing and Retirement, Tilburg)

Abstract

We elicit time and risk preferences for kidney transplantation from the entire population of patients of the largest Italian transplant centre using a discrete choice experiment (DCE). We measure patients' willingness-to-wait (WTW), expressed in months, for receiving a kidney with one-year longer expected graft survival, or low risk of complication. Using a mixed logit in WTW-space model, we find heterogeneity in patients' preferences. Our model allows WTW to vary with the patient's age and duration of dialysis. The results suggest that WTW correlates with age and duration of dialysis. The implication for transplant practice is that including individual preferences in kidney allocation protocols that assign "non-ideal" (expanded donor criteria) organs may not only increase the expected survival rates of patients with transplanted organs but also improve patients' satisfaction.

Suggested Citation

  • Mesfin G. Genie & Antonio Nicolò & Giacomo Pasini, 2019. "The role of heterogeneity of patients' preferences in kidney transplantation," Working Papers 2019: 25, Department of Economics, University of Venice "Ca' Foscari".
  • Handle: RePEc:ven:wpaper:2019:25
    as

    Download full text from publisher

    File URL: https://www.unive.it/web/fileadmin/user_upload/dipartimenti/DEC/doc/Pubblicazioni_scientifiche/working_papers/2019/WP_DSE_genie_nicolo_pasini_25_19.pdf
    File Function: Revised version,
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Nieboer, Anna P. & Koolman, Xander & Stolk, Elly A., 2010. "Preferences for long-term care services: Willingness to pay estimates derived from a discrete choice experiment," Social Science & Medicine, Elsevier, vol. 70(9), pages 1317-1325, May.
    2. Mandy Ryan & Nicolas Krucien & Frouke Hermens, 2018. "The eyes have it: Using eye tracking to inform information processing strategies in multi‐attributes choices," Health Economics, John Wiley & Sons, Ltd., vol. 27(4), pages 709-721, April.
    3. Esther W. de Bekker‐Grob & Mandy Ryan & Karen Gerard, 2012. "Discrete choice experiments in health economics: a review of the literature," Health Economics, John Wiley & Sons, Ltd., vol. 21(2), pages 145-172, February.
    4. Greene, William H. & Hensher, David A. & Rose, John, 2006. "Accounting for heterogeneity in the variance of unobserved effects in mixed logit models," Transportation Research Part B: Methodological, Elsevier, vol. 40(1), pages 75-92, January.
    5. Hole, Arne Risa, 2008. "Modelling heterogeneity in patients' preferences for the attributes of a general practitioner appointment," Journal of Health Economics, Elsevier, vol. 27(4), pages 1078-1094, July.
    6. Arne Hole & Julie Kolstad, 2012. "Mixed logit estimation of willingness to pay distributions: a comparison of models in preference and WTP space using data from a health-related choice experiment," Empirical Economics, Springer, vol. 42(2), pages 445-469, April.
    7. Fischer, Barbara & Telser, Harry & Zweifel, Peter, 2018. "End-of-life healthcare expenditure: Testing economic explanations using a discrete choice experiment," Journal of Health Economics, Elsevier, vol. 60(C), pages 30-38.
    8. Lancsar, Emily & Wildman, John & Donaldson, Cam & Ryan, Mandy & Baker, Rachel, 2011. "Deriving distributional weights for QALYs through discrete choice experiments," Journal of Health Economics, Elsevier, vol. 30(2), pages 466-478, March.
    9. Brown, Paul & Panattoni, Laura & Cameron, Linda & Knox, Stephanie & Ashton, Toni & Tenbensel, Tim & Windsor, John, 2015. "Hospital sector choice and support for public hospital care in New Zealand: Results from a labeled discrete choice survey," Journal of Health Economics, Elsevier, vol. 43(C), pages 118-127.
    10. Garrett Sonnier & Andrew Ainslie & Thomas Otter, 2007. "Heterogeneity distributions of willingness-to-pay in choice models," Quantitative Marketing and Economics (QME), Springer, vol. 5(3), pages 313-331, September.
    11. Daniel McFadden & Kenneth Train, 2000. "Mixed MNL models for discrete response," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 15(5), pages 447-470.
    12. Dan Rigby & Francisco Alcon & Michael Burton, 2010. "Supply uncertainty and the economic value of irrigation water," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 37(1), pages 97-117, March.
    13. David A. Hensher & William H. Greene, 2011. "Valuation of Travel Time Savings in WTP and Preference Space in the Presence of Taste and Scale Heterogeneity," Journal of Transport Economics and Policy, University of Bath, vol. 45(3), pages 505-525, September.
    14. Kelvin J. Lancaster, 1966. "A New Approach to Consumer Theory," Journal of Political Economy, University of Chicago Press, vol. 74(2), pages 132-132.
    15. David M. Bishai, 2004. "Does time preference change with age?," Journal of Population Economics, Springer;European Society for Population Economics, vol. 17(4), pages 583-602, December.
    16. Morin, Roger A & Fernandez Suarez, Antonio, 1983. "Risk Aversion Revisited," Journal of Finance, American Finance Association, vol. 38(4), pages 1201-1216, September.
    17. Sandra Rousseau & Ronald Rousseau, 2012. "Interactions between journal attributes and authors' willingness to wait for editorial decisions," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 63(6), pages 1213-1225, June.
    18. Meenakshi, J.V. & Banerji, A. & Manyong, Victor & Tomlins, Keith & Mittal, Nitya & Hamukwala, Priscilla, 2012. "Using a discrete choice experiment to elicit the demand for a nutritious food: Willingness-to-pay for orange maize in rural Zambia," Journal of Health Economics, Elsevier, vol. 31(1), pages 62-71.
    19. Knut Per Hasund & Mitesh Kataria & Carl Johan Lagerkvist, 2011. "Valuing public goods of the agricultural landscape: a choice experiment using reference points to capture observable heterogeneity," Journal of Environmental Planning and Management, Taylor & Francis Journals, vol. 54(1), pages 31-53.
    20. Mandy Ryan & Karen Gerard & Gillian Currie, 2012. "Using Discrete Choice Experiments in Health Economics," Chapters, in: Andrew M. Jones (ed.), The Elgar Companion to Health Economics, Second Edition, chapter 41, Edward Elgar Publishing.
    21. Sarrias, Mauricio, 2016. "Discrete Choice Models with Random Parameters in R: The Rchoice Package," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 74(i10).
    22. Czajkowski, Mikołaj & Budziński, Wiktor, 2019. "Simulation error in maximum likelihood estimation of discrete choice models," Journal of choice modelling, Elsevier, vol. 31(C), pages 73-85.
    23. Emily Lancsar & Denzil G. Fiebig & Arne Risa Hole, 2017. "Discrete Choice Experiments: A Guide to Model Specification, Estimation and Software," PharmacoEconomics, Springer, vol. 35(7), pages 697-716, July.
    24. David A. Hensher, 2006. "How do respondents process stated choice experiments? Attribute consideration under varying information load," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(6), pages 861-878.
    25. Berry, Steven & Levinsohn, James & Pakes, Ariel, 1995. "Automobile Prices in Market Equilibrium," Econometrica, Econometric Society, vol. 63(4), pages 841-890, July.
    26. Chandra R. Bhat, 2000. "Incorporating Observed and Unobserved Heterogeneity in Urban Work Travel Mode Choice Modeling," Transportation Science, INFORMS, vol. 34(2), pages 228-238, May.
    27. Nikhil Agarwal & Itai Ashlagi & Michael A. Rees & Paulo J. Somaini & Daniel C. Waldinger, 2019. "Equilibrium Allocations under Alternative Waitlist Designs: Evidence from Deceased Donor Kidneys," NBER Working Papers 25607, National Bureau of Economic Research, Inc.
    28. Agarwal, Nikhil & Ashlagi, Itai & Rees, Michael & Somaini, Paulo & Waldinger, Daniel, 2019. "An Empirical Framework for Sequential Assignment: The Allocation of Deceased Donor Kidneys," Research Papers 3724, Stanford University, Graduate School of Business.
    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. Mesfin G. Genie & Mandy Ryan & Nicolas Krucien, 2023. "Keeping an eye on cost: What can eye tracking tell us about attention to cost information in discrete choice experiments?," Health Economics, John Wiley & Sons, Ltd., vol. 32(5), pages 1101-1119, May.
    2. Li, Mengling & Riyanto, Yohanes E. & Xu, Menghan, 2022. "Remedying adverse selection in donor-priority rule using freeze period: Theory and experiment," Journal of Economic Behavior & Organization, Elsevier, vol. 194(C), pages 384-407.
    3. Mesfin G. Genie & Nicolas Krucien & Mandy Ryan, 2021. "Weighting or aggregating? Investigating information processing in multi‐attribute choices," Health Economics, John Wiley & Sons, Ltd., vol. 30(6), pages 1291-1305, June.

    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. Talevi, Marta & Pattanayak, Subhrendu K. & Das, Ipsita & Lewis, Jessica J. & Singha, Ashok K., 2022. "Speaking from experience: Preferences for cooking with biogas in rural India," Energy Economics, Elsevier, vol. 107(C).
    2. Haghani, Milad & Bliemer, Michiel C.J. & Hensher, David A., 2021. "The landscape of econometric discrete choice modelling research," Journal of choice modelling, Elsevier, vol. 40(C).
    3. de Bresser, Jochem & Knoef, Marike & van Ooijen, Raun, 2022. "Preferences for in-kind and in-cash home care insurance," Journal of Health Economics, Elsevier, vol. 84(C).
    4. Genie, Mesfin G. & Ryan, Mandy & Krucien, Nicolas, 2021. "To pay or not to pay? Cost information processing in the valuation of publicly funded healthcare," Social Science & Medicine, Elsevier, vol. 276(C).
    5. 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.
    6. Landmann, D. & Feil, J.-H. & Lagerkvist, C.J. & Otter, V., 2018. "Designing capacity development activities of small-scale farmers in developing countries based on discrete choice experiments," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277738, International Association of Agricultural Economists.
    7. Pestana, Joana & Frutuoso, João & Costa, Eduardo & Fonseca, Filipa, 2024. "Heterogeneity in physician's job preferences in a dual practice context – Evidence from a DCE," Social Science & Medicine, Elsevier, vol. 343(C).
    8. Krucien, Nicolas & Ryan, Mandy & Hermens, Frouke, 2017. "Visual attention in multi-attributes choices: What can eye-tracking tell us?," Journal of Economic Behavior & Organization, Elsevier, vol. 135(C), pages 251-267.
    9. Alessandro Mengoni & Chiara Seghieri & Sabina Nuti, 2013. "The application of discrete choice experiments in health economics: a systematic review of the literature," Working Papers 201301, Scuola Superiore Sant'Anna of Pisa, Istituto di Management.
    10. Chandoevwit, Worawan & Wasi, Nada, 2020. "Incorporating discrete choice experiments into policy decisions: Case of designing public long-term care insurance," Social Science & Medicine, Elsevier, vol. 258(C).
    11. Joachim Marti & John Buckell & Johanna Catherine Maclean & Jody L. Sindelar, 2016. "To ‘Vape’ or Smoke? A Discrete Choice Experiment Among U.S. Adult Smokers," NBER Working Papers 22079, National Bureau of Economic Research, Inc.
    12. Damian Clarke & Sonia Oreffice & Climent Quintana‐Domeque, 2021. "On the Value of Birth Weight," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 83(5), pages 1130-1159, October.
    13. Nordmeyer, Eike Florenz & Danne, Michael & Musshoff, Oliver, 2023. "Can satellite-retrieved data increase farmers' willingness to insure against drought? – Insights from Germany," Agricultural Systems, Elsevier, vol. 211(C).
    14. Galárraga, Omar & Kuo, Caroline & Mtukushe, Bulelwa & Maughan-Brown, Brendan & Harrison, Abigail & Hoare, Jackie, 2020. "iSAY (incentives for South African youth): Stated preferences of young people living with HIV," Social Science & Medicine, Elsevier, vol. 265(C).
    15. Nicolas Krucien & Verity Watson & Mandy Ryan, 2017. "Is Best–Worst Scaling Suitable for Health State Valuation? A Comparison with Discrete Choice Experiments," Health Economics, John Wiley & Sons, Ltd., vol. 26(12), pages 1-16, December.
    16. Riise, Julie & Hole, Arne Risa & Gyrd-Hansen, Dorte & Skåtun, Diane, 2016. "GPs' implicit prioritization through clinical choices – evidence from three national health services," Journal of Health Economics, Elsevier, vol. 49(C), pages 169-183.
    17. Pedersen, Line Bjørnskov & Mørkbak, Morten Raun & Scarpa, Riccardo, 2020. "Handling resolvable uncertainty from incomplete scenarios in future doctors' job choice – Probabilities vs discrete choices," Journal of choice modelling, Elsevier, vol. 34(C).
    18. Bujosa, Angel & Torres, Cati & Riera, Antoni, 2018. "Framing Decisions in Uncertain Scenarios: An Analysis of Tourist Preferences in the Face of Global Warming," Ecological Economics, Elsevier, vol. 148(C), pages 36-42.
    19. Emily Lancsar & Peter Burge, 2014. "Choice modelling research in health economics," Chapters, in: Stephane Hess & Andrew Daly (ed.), Handbook of Choice Modelling, chapter 28, pages 675-687, Edward Elgar Publishing.
    20. Aleksandra Torbica & Carla Rognoni & Rosanna Tarricone, 2021. "Investigating Patients’ Preferences to Inform Drug Development Decisions: Novel Insights from a Discrete Choice Experiment in Migraine," IJERPH, MDPI, vol. 18(9), pages 1-18, May.

    More about this item

    Keywords

    Stated preferences; Mixed logit; Willingness to wait; Marginal kidney;
    All these keywords.

    JEL classification:

    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health
    • I14 - Health, Education, and Welfare - - Health - - - Health and Inequality
    • C90 - Mathematical and Quantitative Methods - - Design of Experiments - - - General
    • D61 - Microeconomics - - Welfare Economics - - - Allocative Efficiency; Cost-Benefit Analysis

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:ven:wpaper:2019:25. 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: Sassano Sonia (email available below). General contact details of provider: https://edirc.repec.org/data/dsvenit.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.