OBJECTIVE: To assess the cost-effectiveness of etravirine (INTELENCE), a novel nonnucleoside reverse transcriptase inhibitor, used in combination with a background regimen that included darunavir/ritonavir, from a Canadian Provincial Ministry of Health perspective. DESIGN: A Markov model with a 3-month cycle time and six health states based on CD4 cell count ranges was developed to follow a hypothetical cohort of treatment-experienced adults with HIV-1 infection through initial and subsequent treatment regimens. METHODS: Costs (in 2009 Canadian dollars), utilities, and HIV-related mortality data for each health state as well as non-HIV-related mortality data were estimated from Canadian sources and published literature. Transition probabilities between health states and first-year hospitalization and mortality rates were derived from clinical trial data. Incremental 1-year costs per additional adult with viral load less than 50 copies/ml at 48 weeks and incremental lifetime costs per quality-adjusted life-year (QALY) gained were estimated using a 5% discount rate. Sensitivity and variability analyses and model validation were performed. RESULTS:Etravirine was associated with an increased probability of achieving less than 50 copies/ml at 48 weeks of 0.205 and an estimated gain of 0.66 discounted (1.48 undiscounted) QALYs over a lifetime. The incremental 1-year cost per additional person with viral load less than 50 copies/ml was $23,862. The lifetime incremental cost per QALY gained was $49,120. For the uncertainty ranges and variability scenarios tested for the lifetime horizon, the cost-effectiveness ratio was between $28,859 and 66,249. CONCLUSION: When compared with optimized standard of care including darunavir/ritonavir, adding etravirine represents a cost-effective option for treatment-experienced adults in Canada.
RCT Entities:
OBJECTIVE: To assess the cost-effectiveness of etravirine (INTELENCE), a novel nonnucleoside reverse transcriptase inhibitor, used in combination with a background regimen that included darunavir/ritonavir, from a Canadian Provincial Ministry of Health perspective. DESIGN: A Markov model with a 3-month cycle time and six health states based on CD4 cell count ranges was developed to follow a hypothetical cohort of treatment-experienced adults with HIV-1 infection through initial and subsequent treatment regimens. METHODS: Costs (in 2009 Canadian dollars), utilities, and HIV-related mortality data for each health state as well as non-HIV-related mortality data were estimated from Canadian sources and published literature. Transition probabilities between health states and first-year hospitalization and mortality rates were derived from clinical trial data. Incremental 1-year costs per additional adult with viral load less than 50 copies/ml at 48 weeks and incremental lifetime costs per quality-adjusted life-year (QALY) gained were estimated using a 5% discount rate. Sensitivity and variability analyses and model validation were performed. RESULTS:Etravirine was associated with an increased probability of achieving less than 50 copies/ml at 48 weeks of 0.205 and an estimated gain of 0.66 discounted (1.48 undiscounted) QALYs over a lifetime. The incremental 1-year cost per additional person with viral load less than 50 copies/ml was $23,862. The lifetime incremental cost per QALY gained was $49,120. For the uncertainty ranges and variability scenarios tested for the lifetime horizon, the cost-effectiveness ratio was between $28,859 and 66,249. CONCLUSION: When compared with optimized standard of care including darunavir/ritonavir, adding etravirine represents a cost-effective option for treatment-experienced adults in Canada.
Authors: Ahmed M Bayoumi; Paul G Barnett; Vilija R Joyce; Susan C Griffin; Huiying Sun; Nick J Bansback; Mark Holodniy; Gillian Sanders; Sheldon T Brown; Tassos C Kyriakides; Brian Angus; D William Cameron; Aslam H Anis; Mark Sculpher; Douglas K Owens Journal: J Acquir Immune Defic Syndr Date: 2013-12-01 Impact factor: 3.731
Authors: Anita J Brogan; Erik Smets; Josephine A Mauskopf; Sarah A L Manuel; Ines Adriaenssen Journal: Pharmacoeconomics Date: 2014-09 Impact factor: 4.981