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Patients' Perceptions and Treatment Effectiveness

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  • Sean Murphy
  • Robert Rosenman
  • Jon Yoder
  • Dan Firesner

    ()
    (School of Economic Sciences, Washington State University)

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 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 provides a theoretical foundation for reference frame effects, and the model is tested with data on patients diagnosed with idiopathic intracranial hypertension. Our results support the reference frame hypothesis.

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File URL: http://faculty.ses.wsu.edu/WorkingPapers/Rosenman/WP_2008_19_IIH-PT.pdf
File Function: First version, 2008
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Bibliographic Info

Paper provided by School of Economic Sciences, Washington State University in its series Working Papers with number 2008-19.

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Length: 35 pages
Date of creation: Sep 2008
Date of revision:
Handle: RePEc:wsu:wpaper:rosenman-5

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Keywords: Prospect Theory; Treatment Outcomes; Treatment History; Misclassification; Monotone Rank Estimator;

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  1. Wakker, Peter & Tversky, Amos, 1993. " An Axiomatization of Cumulative Prospect Theory," Journal of Risk and Uncertainty, Springer, vol. 7(2), pages 147-75, October.
  2. 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.
  3. 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.
  4. Camerer, Colin F., 1998. "Prospect Theory in the Wild: Evidence From the Field," Working Papers 1037, California Institute of Technology, Division of the Humanities and Social Sciences.
  5. Jason ABREVAYA & Jerry A. HAUSMAN, 1999. "Semiparametric Estimation with Mismeasured Dependent Variables: An Application to Duration Models for Unemployment Spells," Annales d'Economie et de Statistique, ENSAE, issue 55-56, pages 243-275.
  6. 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.
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