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Related Experiment Videos

Gail model risk assessment and risk perceptions.

John M Quillin1, Elizabeth Fries, Donna McClish

  • 1Massey Cancer Center, Virginia Commonwealth University, 401 College Street, Richmond, Virginia 23298-0037, USA. jmquilli@vcu.edu

Journal of Behavioral Medicine
|June 3, 2004
PubMed
Summary
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Understanding breast cancer risk is crucial for women. A brief intervention using the Gail model improved women's accurate perception of their breast cancer risk.

Area of Science:

  • Oncology
  • Health Psychology
  • Medical Decision Making

Background:

  • Accessible breast cancer risk information empowers patients.
  • The Gail model is a standard tool for assessing breast cancer risk and informing clinical decisions.
  • Understanding patient risk perception is key to effective communication and decision-making.

Purpose of the Study:

  • To explore how women perceive their breast cancer risk after undergoing Gail model risk assessment.
  • To evaluate the impact of a brief risk assessment intervention on risk perceptions.
  • To assess changes in quantitative and comparative risk perceptions and accuracy.

Main Methods:

  • An exploratory study utilizing a randomized clinical trial design.
  • Inclusion of women not previously selected for high-risk status.

Related Experiment Videos

  • Measurement of risk perceptions in various formats post-intervention.
  • Main Results:

    • A brief risk assessment intervention significantly altered women's quantitative and comparative risk perceptions.
    • The intervention demonstrated an improvement in the accuracy of risk perception.
    • Findings were observed in a general population sample, not limited to high-risk individuals.

    Conclusions:

    • Brief interventions can effectively enhance the accuracy and understanding of breast cancer risk perceptions.
    • The Gail model, when presented through targeted interventions, can improve patient comprehension of risk.
    • This study contributes to understanding risk perception in a broader population, informing future patient communication strategies.