IDEAS home Printed from https://ideas.repec.org/a/sae/medema/v28y2008i4p511-523.html
   My bibliography  Save this article

End-of-Life Medical Treatment Choices: Do Survival Chances and Out-of-Pocket Costs Matter?

Author

Listed:
  • Li-Wei Chao

    (Population Aging Research Center of the Population Studies Center, University of Pennsylvania, Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, Pennsylvania)

  • José A. Pagán

    (Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, Pennsylvania, Department of Economics and Finance, College of Business Administration, University of Texas-Pan American, Edinburg, Texas)

  • Beth J. Soldo

    (Population Aging Research Center of the Population Studies Center, University of Pennsylvania)

Abstract

Background . Out-of-pocket medical expenditures incurred prior to the death of a spouse could deplete savings and impoverish the surviving spouse. Little is known about the public's opinion as to whether spouses should forego such end-of-life (EOL) medical care to prevent asset depletion. Objectives . To analyze how elderly and near elderly adults assess hypothetical EOL medical treatment choices under different survival probabilities and out-of-pocket treatment costs. Methods . Survey data on a total of 1143 adults, with 589 from the Asset and Health Dynamics Among the Oldest Old (AHEAD) and 554 from the Health and Retirement Study (HRS), were used to study EOL cancer treatment recommendations for a hypothetical anonymous married woman in her 80s. Results . Respondents were more likely to recommend treatment when it was financed by Medicare than by the patient's own savings and when it had 60% rather than 20% survival probability. Black and male respondents were more likely to recommend treatment regardless of survival probability or payment source. Treatment uptake was related to the order of presentation of treatment options, consistent with starting point bias and framing effects. Conclusions . Elderly and near elderly adults would recommend that the hypothetical married woman should forego costly EOL treatment when the costs of the treatment would deplete savings. When treatment costs are covered by Medicare, respondents would make the recommendation to opt for care even if the probability of survival is low, which is consistent with moral hazard. The sequence of presentation of treatment options seems to affect patient treatment choice.

Suggested Citation

  • Li-Wei Chao & José A. Pagán & Beth J. Soldo, 2008. "End-of-Life Medical Treatment Choices: Do Survival Chances and Out-of-Pocket Costs Matter?," Medical Decision Making, , vol. 28(4), pages 511-523, July.
  • Handle: RePEc:sae:medema:v:28:y:2008:i:4:p:511-523
    DOI: 10.1177/0272989X07312713
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/0272989X07312713
    Download Restriction: no

    File URL: https://libkey.io/10.1177/0272989X07312713?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. Markus Koenig & Peter Zweifel, 2004. "Willingness-to-pay Against Dementia: Effects of Altruism Between Patients and Their Spouse Caregivers," SOI - Working Papers 0411, Socioeconomic Institute - University of Zurich.
    2. Philip Hans Franses & J.S. Cramer, 2010. "On the number of categories in an ordered regression model," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 64(1), pages 125-128, February.
    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. Mark Oremus & Jean-Eric Tarride & Eleanor Pullenayegum & Natasha Clayton & Parminder Raina, 2013. "Patients’ Willingness-to-Pay for an Alzheimer’s Disease Medication in Canada," The Patient: Patient-Centered Outcomes Research, Springer;International Academy of Health Preference Research, vol. 6(3), pages 161-168, September.
    2. Jan Schiefer & Monika Hartmann, 2008. "Determinants of competitive advantage for German food processors," Agribusiness, John Wiley & Sons, Ltd., vol. 24(3), pages 306-319.
    3. Halbheer, Daniel & Fehr, Ernst & Goette, Lorenz & Schmutzler, Armin, 2009. "Self-reinforcing market dominance," Games and Economic Behavior, Elsevier, vol. 67(2), pages 481-502, November.
    4. Lake, James & Millimet, Daniel L., 2016. "An empirical analysis of trade-related redistribution and the political viability of free trade," Journal of International Economics, Elsevier, vol. 99(C), pages 156-178.
    5. Mark Oremus & Jean-Eric Tarride & Parminder Raina & Lehana Thabane & Gary Foster & Charlie Goldsmith & Natasha Clayton, 2012. "The General Public’s Willingness to Pay for Tax Increases to Support Unrestricted Access to an Alzheimer’s Disease Medication," PharmacoEconomics, Springer, vol. 30(11), pages 1085-1095, November.
    6. Staus, Alexander, 2007. "An Ordinal Regression Model using Dealer Satisfaction Data," Working Papers 98632, Universitaet Hohenheim, Institute of Agricultural Policy and Agricultural Markets.
    7. Helga Fehr-Duda & Adrian Bruhin & Thomas Epper & Renate Schubert, 2010. "Rationality on the rise: Why relative risk aversion increases with stake size," Journal of Risk and Uncertainty, Springer, vol. 40(2), pages 147-180, April.
    8. Stefan Boes, 2013. "Nonparametric analysis of treatment effects in ordered response models," Empirical Economics, Springer, vol. 44(1), pages 81-109, February.
    9. Ebru a layan-Akay & Muhammed H. Van, 2017. "Determinants of the Levels of Development Based on the Human Development Index:Bayesian Ordered Probit Model," International Journal of Economics and Financial Issues, Econjournals, vol. 7(5), pages 425-431.

    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:28:y:2008:i:4:p:511-523. 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.