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Related Experiment Videos

Patients' interpretations of probability terms.

D J Mazur1, D H Hickam

  • 1Department of Veterans Affairs Medical Center, Portland, OR 97207.

Journal of General Internal Medicine
|May 1, 1991
PubMed
Summary
This summary is machine-generated.

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Patients interpret qualitative probability terms in distinct numerical patterns, often falling into high (>60%) or low (<50%) probability groups. Understanding these patient interpretations is key for effective medical risk communication.

Area of Science:

  • Medical Communication
  • Health Literacy
  • Risk Perception

Background:

  • Qualitative probability expressions are common in medical risk communication.
  • Patient understanding of these terms can significantly impact decision-making.
  • Variability in interpretation necessitates research into patient-specific numerical meanings.

Purpose of the Study:

  • To assess patient understanding of common qualitative probability terms used in healthcare.
  • To identify numerical meanings patients ascribe to these terms.
  • To determine patient preferences for receiving risk information (numerical vs. qualitative).

Main Methods:

  • Cross-sectional survey conducted at a university-based Department of Veterans Affairs medical center.
  • 133 general medicine clinic patients participated.

Related Experiment Videos

  • Patients assigned numerical values to 12 common qualitative probability terms.

    • Main Results:

    • Patient probability estimates formed two distinct groups: one consistently above 60% and another below 50%.
    • Significant intercorrelations were observed within each group of terms.
    • Patient preferences for receiving risk information varied, with substantial portions preferring numerical, qualitative, or mixed formats.

    Conclusions:

    • Patients ascribe identifiable numerical patterns to qualitative probability terms.
    • While individual values vary, the relative meaning of terms demonstrates consistent trends.
    • Findings highlight the need for tailored approaches in communicating medical risk.