Drug Prices and Value of Oncology Drugs in Italy

Objective: The main objective of this study was to evaluate the potential role of efficacy data and other information available at the time of price and reimbursement (P&R) decision-making process within the definition of oncology treatment costs in Italy. Methods: The study included all P&R dossiers submitted to the Italian Medicines Agency between July 2015 and December 2017. It prospectively collected the data of the P&R process starting from dossier submission up to the Italian Health Service reimbursement decision. The cost of treatment per patient was estimated using both the list price (gross cost) and the confidential net price (net cost) of drug packages and applied to the median duration of treatment. A 2-sample stage Heckman decomposition model was used to evaluate the potential role of efficacy data and other information available at the time of P&R decision making on the gross and net cost. Results: A total of 37 oncology drugs related to 58 therapeutic indications were analyzed. The multivariate model showed that the variation of progression-free survival is the only variable predictor statistically associated with treatment cost, but this effect was observed only when confidential net prices were used (P=.026). Conclusions: Considering the perspective of a developed country having a public healthcare service with a central reimbursement negotiation is determined a relevant reduction in the treatment cost purchased by public payers. This is a useful approach to guarantee the affordability of innovative oncology drugs and to contain public expenditures on healthcare. Furthermore, the negotiation of confidential discounts and agreement clauses in managed entry agreements seemed to reward oncology drugs displaying an added therapeutic benefit.

Automated summary

This study evaluated the potential role of efficacy data and other information in defining oncology treatment costs in Italy during the price and reimbursement decision-making process. Results showed that the variation of progression-free survival was the only variable predictor statistically associated with treatment cost when confidential net prices were used.