Abstract

6075 Background: Adding docetaxel to induction therapy with PF has been shown to improve overall survival of patients with head and neck cancer. On the basis of the raw data from the EORTC trial 24971/TAX 323 a pharmacoeconomic analysis has been performed. A National Healthcare System perspective and a 5-years temporal horizon have been adopted. Methods: A decision-analytic approach has been adopted, and a Markov model has been used to represent patient's weekly transitions among different health states, related to treatment (chemotherapy, radiotherapy, surgeries, palliative care) and disease status (complete/partial/no response, progression, recurrence). Constant or time-variant costs and quality of life adjustment factors have been assigned to each health state, together with transition probabilities to other states. A 3% discount factor has been used for costs sustained after the first year. The model allowed calculating expected life years (LYs), quality adjusted life years (QALYs) and costs. From these figures, incremental cost/effectiveness (ICER) and cost/utility (ICUR) ratios have been calculated. Robustness of results obtained with baseline values has been tested with probabilistic multivariate sensitivity analysis. Results: In the base case analysis, treatment with TPF yields an expectancy of 2.38 LYs and 1.53 QALYs at a cost of Euro (E) 23,018, which for PF were 1.93 LYs, 1.11 QALYs, and E 19,567, respectively. ICER and ICUR were E 7,669/LY and E 8,217/QALY, respectively. Sensitivity analyses were performed varying transition probabilities of 10%, costs of 30% and utility scores of 20% of their basal values. The analyses showed that 86% and 84% of the results lie below the threshold of E 50,000/LY and E 50,000/QALY, respectively. Conclusions: In our analysis TPF induction chemotherapy proved to be cost-effective with respect to PF, having an ICER and ICUR comparable to other widely accepted healthcare interventions. [Table: see text]

Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call