Cost-effectiveness of boceprevir co-administration versus pegylated interferon-α2b and ribavirin only for patients with hepatitis C genotype 1 in Singapore

Abstract

Background: Patients infected with chronic HCV genotype 1 experience liver complications as the disease progresses. This study aims to project the long-term reduction of liver complications and cost-effectiveness of treatment strategies, including co-administrating boceprevir (BOC) with pegylated interferon-α2b (PEG-IFN) and ribavirin compared with standard of care (SOC) of PEG-IFN and ribavirin only. Methods: A Markov model was created to estimate the expected costs and quality-adjusted life-years (QALYs) associated with treatment strategies outlined in the BOC package insert in Singapore. Patient characteristics were from pivotal trials, the transition probabilities and QALYs were estimated from publications, and the pharmaceutical and health status costs were obtained from a public hospital in Singapore. The threshold of cost-effectiveness was chosen as 65,000 SGD for this study. Results: For treatment-naive patients, BOC is highly cost-effective compared with SOC (179 SGD/QALY) and cost-saving for patients who have failed prior treatment, due to higher QALYs from better sustained virological response (SVR) and lower costs from avoidance of complications. Sub-group analyses show that BOC is cost-effective for non-cirrhotic treatment-experienced patients and null responders. It out-performs SOC for treatment-naive non-cirrhotic and cirrhotic patients who have failed prior treatment. Even after adjusting for higher prevalence of favourable IL28B genotype in Asians, BOC is cost-effective compared with SOC. Only untreated cirrhotic patients showed inconclusive cost-effectiveness for BOC. Conclusions: Compared with SOC, BOC prevents more HCV liver complications from HCV genotype 1, particularly in patients who have failed previous SOC. Improved SVR and shortened duration of treatment result in BOC being potentially cost-saving or cost-effective in an Asian population.