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Related Experiment Videos

Preference assessment method affects decision-analytic recommendations: a prostate cancer treatment example.

Elena B Elkin1, Mark E Cowen, Daniel Cahill

  • 1Department of Biostatistics, Memorial Sloan-Kettering Cancer Center, New York, NY, USA.

Medical Decision Making : an International Journal of the Society for Medical Decision Making
|September 11, 2004
PubMed
Summary

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The method used to assess patient preferences significantly impacts treatment recommendations for early prostate cancer. Choosing the right preference assessment is crucial for accurate decision-analytic modeling in clinical practice.

Area of Science:

  • Decision Analysis
  • Health Economics
  • Urologic Oncology

Background:

  • Individualized treatment decisions for early prostate cancer require patient preference data.
  • Decision-analytic models are increasingly used to guide these choices.
  • The method of eliciting patient preferences may influence model outcomes.

Purpose of the Study:

  • To evaluate how different preference assessment methods affect treatment recommendations from a decision-analytic model for early prostate cancer.
  • To compare the impact of time tradeoff, rating scale, and transformed rating scale methods on model outputs.

Main Methods:

  • Elicited health state preferences from 63 men (ages 55-75) using time tradeoff, rating scale, and transformed rating scale.
  • Utilized a Markov model to determine quality-adjusted life expectancy for radical prostatectomy versus watchful waiting.

Related Experiment Videos

  • Analyzed discrepancies in treatment recommendations based on elicited preferences.

    • Main Results:

    • Treatment recommendations varied significantly depending on the preference assessment method used.
    • Discrepancies in treatment recommendations occurred for 21% to 52% of participants.
    • Mean differences in quality-adjusted life years ranged from less than 0.5 to over 1.0.

    Conclusions:

    • Prostate cancer treatment recommendations derived from decision models are sensitive to the preference elicitation method.
    • Careful selection of preference assessment techniques is essential when using decision analysis for individual patient counseling.
    • The choice of method impacts the reliability and applicability of decision-analytic models in clinical settings.