Abstract
Background
Implantable cardioverter-defibrillator (ICD) therapy was traditionally applied in patients who survived a cardiac arrest or who experienced a symptomatic ventricular tachyarrhythmia. Its use in primary prevention (i.e. in patients who have yet to experience a serious arrhythmic event, but who are considered at high risk for sudden cardiac death) has become more common, and policy makers question whether ICD therapy should be reimbursed in these instances.
Objective
To assess the cost effectiveness of primary prevention ICD therapy versus conventional therapy from the perspective of the Belgian health insurance system.
Method
A lifetime 1-month cycle Markov model was constructed and populated with clinical and effectiveness data from the SCD-HeFT study and real-world Belgian cost data expressed in year 2005 values. Probabilistic modelling and sensitivity analyses were performed.
Results
ICD therapy results in 1.22 life-years gained (LYG) or 1.03 QALYs gained. The lifetime cost-effectiveness and cost-utility ratios were €59 989 (95% CI 35 873, 113 518) per LYG and €71 428 (95% CI 40 225, 134 623) per QALY gained, respectively. A cost-effectiveness ratio <€50 000 per QALY gained was obtained in 15.5% of 1000 simulations. Increasing the service life of the device from 5 to 7 years would improve the cost effectiveness to €57 229 (95% CI 32 568, 106 410) per QALY gained.
Conclusions
ICD therapy may not be judged cost effective for the primary prevention of death in patients with a SCD-HeFT profile in the Belgian context using current technology and patient selection. A combination of price reductions and increased service life of the device may alter this conclusion.
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No sources of funding were used to assist in the preparation of this manuscript. The authors have no conflicts of interest that are directly relevant to the content of this study.
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Neyt, M., Thiry, N., Ramaekers, D. et al. Cost effectiveness of implantable cardioverter-defibrillators for primary prevention in a belgian context. Appl Health Econ Health Policy 6, 67–80 (2008). https://doi.org/10.2165/00148365-200806010-00006
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DOI: https://doi.org/10.2165/00148365-200806010-00006