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The Long-Term Cost Effectiveness of Treatments for Benign Prostatic Hyperplasia

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  • Rachael DiSantostefano
  • Andrea Biddle
  • John Lavelle

Abstract

Our model suggests that α-blockers and TURP appear to be the most cost-effective alternatives, from a US payer perspective, for BPH patients with moderate and severe symptoms, respectively. TUMT was promising for patients with moderate symptoms and the oldest patients with severe symptoms, but otherwise was dominated. Value of information analysis could be used to determine the net benefit of additional research. Copyright Adis Data Information BV 2006

Suggested Citation

  • Rachael DiSantostefano & Andrea Biddle & John Lavelle, 2006. "The Long-Term Cost Effectiveness of Treatments for Benign Prostatic Hyperplasia," PharmacoEconomics, Springer, vol. 24(2), pages 171-191, February.
  • Handle: RePEc:spr:pharme:v:24:y:2006:i:2:p:171-191
    DOI: 10.2165/00019053-200624020-00006
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    References listed on IDEAS

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    1. Andrew H. Briggs & Ron Goeree & Gord Blackhouse & Bernie J. O’Brien, 2002. "Probabilistic Analysis of Cost-Effectiveness Models: Choosing between Treatment Strategies for Gastroesophageal Reflux Disease," Medical Decision Making, , vol. 22(4), pages 290-308, August.
    2. Andrew H. Briggs & A. E. Ades & Martin J. Price, 2003. "Probabilistic Sensitivity Analysis for Decision Trees with Multiple Branches: Use of the Dirichlet Distribution in a Bayesian Framework," Medical Decision Making, , vol. 23(4), pages 341-350, July.
    3. Karl Claxton & John Posnett, "undated". "An Economic Approach to Clinical Trial Design and Research Priority Setting," Discussion Papers 96/19, Department of Economics, University of York.
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