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Menopausal hormone therapy decisions: insights from a multi-attribute model.

Marilyn M Schapira1, Mary Ann Gilligan, Timothy L McAuliffe

  • 1Department of Medicine, Clement J Zablocki VA Medical Center and the Medical College of Wisconsin, Froedtert East Office Building, Suite 4200, Milwaukee, WI 53226, USA. mschap@mcw.edu

Patient Education and Counseling
|January 20, 2004
PubMed
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This summary is machine-generated.

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This study developed a decision model for menopausal hormone replacement therapy (HRT). Current HRT users valued heart disease prevention and symptom relief, while former and never users cited side effects and breast cancer concerns.

Area of Science:

  • Decision analysis
  • Health economics
  • Women's health

Background:

  • Menopausal hormone replacement therapy (HRT) decisions involve complex trade-offs.
  • Understanding patient values is crucial for effective HRT utilization.

Purpose of the Study:

  • To develop a multi-attribute utility (MAU) decision model for menopausal hormone replacement therapy (HRT).
  • To identify key factors influencing HRT decisions and compare utility scores across user groups.

Main Methods:

  • Structured interviews (n=40) to identify decision factors.
  • Telephone surveys (n=97) to ascertain utility scores.
  • Linear regression to identify predictive utilities for HRT use.

Main Results:

Related Experiment Videos

  • Composite utility scores significantly differed across HRT users (0.55), former users (-0.27), and never users (-0.19).
  • Current users prioritized heart disease, osteoporosis, and symptom relief.
  • Former users cited side effects; never users cited breast cancer concerns.

Conclusions:

  • The MAU model provides insight into personal expectations and values influencing HRT use.
  • Decision factors vary significantly based on HRT usage status.
  • The model can inform personalized HRT recommendations.