Original article
Eliciting preferences for alternative drug therapies in oncology: Influence of treatment outcome description, elicitation technique and treatment experience on preferences

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Abstract

Several methodologic issues arise in eliciting preferences for therapy. Examples are the selection of appropriate descriptions of treatment outcomes and of elicitation techniques. Of particular importance is the correspondence of patients' anticipated preferences for treatment to actual preferences once they have experienced treatment. Treatment outcome descriptions and elicitation techniques were compared for a hypothetical drug decision problem involving trade-offs between quality and quantity of life. Preferences of 54 cancer patients were elicited before, and 6 weeks following initiation of chemotherapy treatment. Patients' preferences were not influenced by the way information about side effects was presented, nor the stated probability of survival at high and moderate levels. A riskless rating technique produced different preferences from those of a risky treatment choice method. Although patients experienced significant toxicity following initiation of treatment, their preferences remained stable on retest. The results raise questions about the extent to which patients are willing, at the time of decision making, to trade off survival rate for improved quality of life.

References (20)

  • G.W. Torrance

    Social preferences for health states: An empirical evaluation of three measurement techniques

    Socio-econ Plan Sci

    (1976)
  • D.L. Sackett et al.

    The utility of different health states as perceived by the general public

    J Chron Dis

    (1978)
  • H.A. Llewellyn-Thomas et al.

    The assessment of values in laryngeal cancer: Reliability of measurement methods

    J Chron Dis

    (1984)
  • A.M. O'Connor et al.

    Methodological problems in assessing preferences for alternative therapies in oncology: the influence of preference elicitation technique, position order, and the test-retest error on preferences for alternative cancer drug therapies

  • H. Llewellyn-Thomas et al.

    Describing health states: Methodologica issues in obtaining values for health states

    Med Care

    (1984)
  • D. Kahneman et al.

    Prospect theory: An analysis of decision under risk

    Econometrica

    (1979)
  • J.C. Hershey et al.

    Sources of bias in assessment procedures for utility functions

    Management Sci

    (1982)
  • J.J.J. Christensen-Szalanski

    Discount functions and the measurement of patients' values: Women's decisions during childbirth

    Med Decis Making

    (1984)
  • N.F. Boyd et al.

    The selection of primary therapy for patients with cancer of the rectum

    Med Decis Making

    (1982)
  • B. Fischhoff et al.

    Knowing what you want: Measuring labile values

There are more references available in the full text version of this article.

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