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Patients' perceptions and treatment effectiveness

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  • Sean Murphy
  • Robert Rosenman
  • Jonathan Yoder
  • Daniel Friesner

Abstract

An extensive literature relating patients' expectations to treatment outcomes has not addressed the determinants of these expectations. We argue that treatment history is part of a reference point that influences the patients' expectations of how effective further treatment might be, thus influencing whether to proceed with additional treatment or not. We hypothesize that those patients with unsuccessful prior treatments have diminished expected improvement from subsequent treatments. Prospect Theory (PT) provides a theoretical foundation for reference frame effects, and the model is tested with data on patients diagnosed with Idiopathic Intracranial Hypertension (IIH). Our results support the reference frame hypothesis.

Suggested Citation

  • Sean Murphy & Robert Rosenman & Jonathan Yoder & Daniel Friesner, 2011. "Patients' perceptions and treatment effectiveness," Applied Economics, Taylor & Francis Journals, vol. 43(24), pages 3275-3288.
    • Handle: RePEc:taf:applec:v:43:y:2011:i:24:p:3275-3288
    DOI: 10.1080/00036840903508395
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    References listed on IDEAS

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    1. Tversky, Amos & Kahneman, Daniel, 1992. "Advances in Prospect Theory: Cumulative Representation of Uncertainty," Journal of Risk and Uncertainty, Springer, vol. 5(4), pages 297-323, October.
    2. Han Bleichrodt & Jose Luis Pinto, 2000. "A Parameter-Free Elicitation of the Probability Weighting Function in Medical Decision Analysis," Management Science, INFORMS, vol. 46(11), pages 1485-1496, November.
    3. Hausman, J. A. & Abrevaya, Jason & Scott-Morton, F. M., 1998. "Misclassification of the dependent variable in a discrete-response setting," Journal of Econometrics, Elsevier, vol. 87(2), pages 239-269, September.
    4. Daniel Kahneman & Amos Tversky, 2013. "Prospect Theory: An Analysis of Decision Under Risk," World Scientific Book Chapters, in: Leonard C MacLean & William T Ziemba (ed.), HANDBOOK OF THE FUNDAMENTALS OF FINANCIAL DECISION MAKING Part I, chapter 6, pages 99-127, World Scientific Publishing Co. Pte. Ltd..
    5. repec:adr:anecst:y:1999:i:55-56:p:09 is not listed on IDEAS
    6. Jason Abrevaya & Jerry A. Hausman, 1999. "Semiparametric Estimation with Mismeasured Dependent Variables: An Application to Duration Models for Unemployment Spells," Annals of Economics and Statistics, GENES, issue 55-56, pages 243-275.
    7. Wakker, Peter & Tversky, Amos, 1993. "An Axiomatization of Cumulative Prospect Theory," Journal of Risk and Uncertainty, Springer, vol. 7(2), pages 147-175, October.
    8. Jonathan R. Treadwell & Leslie A. Lenert, 1999. "Health Values and Prospect Theory," Medical Decision Making, , vol. 19(3), pages 344-352, August.
    9. Diana Stratmann-Schoene & Thomas Klose, 2001. "Health Values and Prospect Theory," Medical Decision Making, , vol. 21(1), pages 57-59, February.
    10. Han, Aaron K., 1987. "Non-parametric analysis of a generalized regression model : The maximum rank correlation estimator," Journal of Econometrics, Elsevier, vol. 35(2-3), pages 303-316, July.
    11. Emma B. Rasiel & Kevin P. Weinfurt & Kevin A. Schulman, 2005. "Can Prospect Theory Explain Risk-Seeking Behavior by Terminally Ill Patients?," Medical Decision Making, , vol. 25(6), pages 609-613, November.
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    Cited by:

    1. Sean M. Murphy & Dan L. Friesner & Robert Rosenman, 2012. "Patients' perceptions and treatment effectiveness: a reassessment using generalized maximum entropy," Applied Economics Letters, Taylor & Francis Journals, vol. 19(13), pages 1243-1248, September.

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    More about this item

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities
    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior

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