Elsevier

Joint Bone Spine

Volume 80, Issue 1, January 2013, Pages 64-69
Joint Bone Spine

Original article
Cost-effectiveness of osteoporosis treatments in postmenopausal women using FRAX™ thresholds for decision

https://doi.org/10.1016/j.jbspin.2012.01.001Get rights and content

Abstract

Purpose

FRAX™ is a fracture prediction algorithm to determine a patient's absolute fracture risk. There is a growing consensus that osteoporosis treatment should be based on individual 10-year fracture probability, as calculated in the FRAX™ algorithm, rather than on T-scores alone.

Objective

Our objective was to evaluate the cost-effectiveness of five years of branded alendronate therapy in postmenopausal French women with a known FRAX™ score.

Method

A Markov cohort state transition model using FRAX™ values and whenever possible population-specific data and probabilities. We estimated the incremental cost-effectiveness ratio (ICER) of alendronate versus no treatment in postmenopausal women with FRAX™ ranging from 10 to 3%.

Outcomes

Number of women to treat (NNT) for preventing hip fracture, costs, quality-adjusted life-years, incremental cost-effectiveness ratios.

Results

The incremental cost-effectiveness ratios (ICER) compared to no treatment at age 70 ranged from €104,183 to €413,473 per QALY when FRAX™ decreased from 10 to 3%. The NNTs for preventing one hip fracture ranged from 97 to 388 according to age (50–80 years) and FRAX™. Sensitivity analyses showed that the main determinants of cost-effectiveness were adherence to therapy and cost of treatment.

Conclusion

Using French costs of branded drug and current estimates of treatment efficacy, alendronate therapy for 70-year-old women with 10-year probability of hip fracture of 10% just meets the accepted cost-effectiveness threshold. Improving treatment adherence and/or decreasing treatment cost lowers the ICER. The model however underestimates the potential benefit by excluding other fractures.

Introduction

Osteoporosis has a growing impact on health care resource utilisation, particularly in industrialised countries. In the United States and the European Union, approximately 30% of postmenopausal women have osteoporosis, and it has been predicted that up to half of these women with osteoporosis will subsequently experience fragility fracture [1]. Direct expenditures for the prevention and the treatment of osteoporotic fractures are expected to substantially increase in the coming decade, due to the overall ageing of the population and to the dramatic increase of the number of frail elderly people at risk of falls and fractures [2]. Treatments for osteoporosis have increasingly been placed in a health economic context in order to justify resource allocation and inform the development of clinical guidelines.

In 2008, WHO introduced a fracture prediction algorithm (FRAX™) to estimate the individual risk of fracture [3]. The absolute risk of fracture associated with osteoporosis can be used to assess a cost-effectiveness threshold for different treatment strategies. Several studies have addressed the economic value of specific agents and suggested that osteoporosis treatment could be based on a 10-year fracture probability, rather than on T-scores, age and the number of risk factors [4], [5], [6]. From a United States perspective, a five-year course of osteoporosis treatment with a generic of bisphosphonate was cost-effective when the 10-year hip fracture probability reached approximately 3% [7]. In a UK setting, treatment with a generic of alendronate was cost-effective at all ages when the 10-year probability of a major fracture exceeded 7% [5], [8]. However, the transferability of previous results across jurisdictions is problematic because the cost-effectiveness of health technologies varies across countries, depending upon the incidence of the disease, availability of health resources, clinical practice patterns, reimbursement and relative prices [9].

Osteoporosis guidelines developed by the French National Health Authority (Haute Autorité de santé [HAS]) recommended treatment based on the identification of risk factors and a Bone Mineral Density (BMD) value below the threshold of osteoporosis. Treatment is also recommended for women with a prevalent vertebral or hip fragility fracture [10]. Cost-effectiveness has not been considered so far in these indications, and France has not been included in studies of international comparisons.

The aim of this study was to evaluate the cost-effectiveness ratio of treating French postmenopausal women presenting a risk of osteoporotic hip fracture based on the FRAX™ values.

Section snippets

Methods

The cost-effectiveness of treating with alendronate was compared to no treatment in a French setting by simulating costs and outcomes in a cohort of postmenopausal women, defined by age of treatment initiation and risk of hip fracture.

Results

The cost-effectiveness of alendronate in 70-year old women at the threshold of FRAX™ ranging from 10 to 3 is shown in Table 2. In 70-year old women, treatment was barely cost-effective at 104,000 Euro per QALY. The lowest cost-effectiveness ratio was for 60-year old women, at FRAX™ 10 with a figure of 96,403 Euros per QALY (Fig. 2). For younger and older women the ICER increased (Fig. 2). As expected, cost-effectiveness worsened (increased) at any age with decreasing FRAX™, due to the lower

Discussion

Our study shows that treating postmenopausal women with a 10-year hip fracture risk of 10% with branded alendronate is more efficient than interventions based on 7% or 3% thresholds, with a cost-effectiveness ratio of roughly € 100,000/QALY. However, our model indicates that improved adherence use of generic drugs may lower the ICER to generally accepted values. In France, no explicit threshold exits but the WHO value of 3–5 times the per capita GDP per QALY suggests that 100,000 € per QALY is

Disclosure of interest

The authors declare that they have no conflicts of interest concerning this article.

Acknowledgements

The authors are indebted to Karen Brigham for her editorial assistance.

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