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Related Experiment Videos

Talking to patients about risk.

Terry L Deibel1, Benjamin D Sommers, Richard Gilmore

  • 1Department of National Strategy, National War College, Washington, DC 20319, USA. Deibelt@ndu.edu

Urologic Oncology
|July 14, 2007
PubMed
Summary
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Understanding patient risk perception is crucial when discussing life-threatening disease treatments. Doctors can use economic and financial models to help patients assess treatment outcomes and their personal preferences.

Area of Science:

  • Medical Decision Making
  • Health Economics
  • Risk Management

Background:

  • Discussing alternative treatments for life-threatening diseases requires sensitivity to patient risk perception.
  • Patient understanding of risk involves both probability (chance) and subjective valuation of potential loss.
  • Existing frameworks from economics and finance offer valuable insights into risk assessment.

Purpose of the Study:

  • To explore how doctors can effectively communicate risk associated with alternative treatments.
  • To guide patients in assessing their preferences regarding treatment outcomes.
  • To integrate insights from prospect theory and financial risk management into clinical practice.

Main Methods:

  • Review of prospect theory, economic principles, and financial risk management models.

Related Experiment Videos

  • Analysis of how these models can inform physician-patient communication about treatment risks.
  • Conceptual framework for guiding patient assessment of treatment outcome preferences.

    • Main Results:

    • Risk is a complex interplay of objective probability and subjective value of loss.
    • Prospect theory highlights cognitive biases influencing risk perception.
    • Financial models offer structured approaches to risk evaluation.

    Conclusions:

    • Doctors should be sensitive to individual patient risk perception when discussing life-threatening disease treatments.
    • Utilizing economic and financial risk management principles can enhance patient understanding of treatment options.
    • Guiding patients through a structured risk-preference assessment can lead to more informed treatment decisions.