Literature DB >> 16525173

Cost-effectiveness of osteoporosis screening and treatment with hormone replacement therapy, raloxifene, or alendronate.

Lee R Mobley1, Thomas J Hoerger, John S Wittenborn, Deborah A Galuska, Jaya K Rao.   

Abstract

Recent information about osteoporosis treatments and their nonfracture side effects suggests the need for a new cost-effectiveness analysis. The authors estimate the cost effectiveness of screening women for osteoporosis at age 65 and treating those who screen positive with hormone replacement therapy (HRT), raloxifene, or alendronate. A Markov model of osteoporosis disease progression simulates costs and outcomes of women aged 65 years. Incremental cost effectiveness ratios of screen-and-treat strategies are calculated relative to a no-screen, no-treat (NST) strategy. Disease progression parameters are derived from clinical trials; cost and quality-of-life parameters are based on review of cost databases and cost-effectiveness studies. Women are screened using dual-energy x-ray absorptiometry, and women screening positive are treated with HRT, raloxifene, or alendronate. Screening and treatment with HRT increase costs and lower quality-adjusted life years (QALYs; relative to the NST strategy). The only scenario (of several) in the sensitivity analysis in which HRT increases QALYs is when it is assumed that there are no drug-related (nonfracture) health effects. Raloxifene increases costs and QALYs; its cost-effectiveness ratio is $447,559 per QALY. When prescribed for the shortest duration modeled, raloxifene's cost-effectiveness ratio approached $133,000 per QALY. Alendronate is the most cost-effective strategy; its cost-effectiveness ratio is $72,877 per QALY. Alendronate's cost-effectiveness ratio approaches $55,000 per QALY when treatment effects last for 5 years or the discount rate is set to zero. The authors conclude that screening and treating with alendronate are more cost-effective than screening and treating with raloxifene or HRT. Relative to an NST strategy, alendronate has a fairly good cost-effectiveness ratio.

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Year:  2006        PMID: 16525173     DOI: 10.1177/0272989X06286478

Source DB:  PubMed          Journal:  Med Decis Making        ISSN: 0272-989X            Impact factor:   2.583


  17 in total

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2.  Does the funding source influence the results in economic evaluations? A case study in bisphosphonates for the treatment of osteoporosis.

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3.  Screening for and treatment of osteoporosis: construction and validation of a state-transition microsimulation cost-effectiveness model.

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Journal:  Osteoporos Int       Date:  2015-01-08       Impact factor: 4.507

4.  Accounting for increased non-target-disease-specific mortality in decision-analytic screening models for economic evaluation.

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5.  Cost-Effectiveness of a Biopsy-Based 8-Protein Prostate Cancer Prognostic Assay to Optimize Treatment Decision Making in Gleason 3 + 3 and 3 + 4 Early Stage Prostate Cancer.

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6.  Economic Analysis of Prostate-Specific Antigen Screening and Selective Treatment Strategies.

Authors:  Joshua A Roth; Roman Gulati; John L Gore; Matthew R Cooperberg; Ruth Etzioni
Journal:  JAMA Oncol       Date:  2016-07-01       Impact factor: 31.777

7.  A model-based cost-effectiveness analysis of osteoporosis screening and treatment strategy for postmenopausal Japanese women.

Authors:  M Yoshimura; K Moriwaki; S Noto; T Takiguchi
Journal:  Osteoporos Int       Date:  2016-10-14       Impact factor: 4.507

8.  Cost-effectiveness of bone densitometry among Caucasian women and men without a prior fracture according to age and body weight.

Authors:  J T Schousboe; M Gourlay; H A Fink; B C Taylor; E S Orwoll; E Barrett-Connor; L J Melton; S R Cummings; K E Ensrud
Journal:  Osteoporos Int       Date:  2012-02-17       Impact factor: 4.507

9.  Bayesian decision analysis for choosing between diagnostic/prognostic prediction procedures.

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Review 10.  Management of osteoporosis among home health and long-term care patients with a prior fracture.

Authors:  Amy H Warriner; Ryan C Outman; Kenneth G Saag; Sarah D Berry; Cathleen Colón-Emeric; Kellie L Flood; Kenneth W Lyles; S Bobo Tanner; Nelson B Watts; Jeffrey R Curtis
Journal:  South Med J       Date:  2009-04       Impact factor: 0.954

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