Budget impact analysis of bevacizumab biosimilars for cancer treatment in adult patients in Spain
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Date
2021-11-21
Authors
Angel Calleja, Miguel
Albanell, Joan
Aranda, Enrique
Garcia-Foncillas, Jesus
Feliu, Anna
Rivera, Fernando
Oyaguez, Itziar
Salinas-Ortega, Laura
Soto Alvarez, Javier
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Publisher
Bmj publishing group
Abstract
Objective To assess the economic impact of introducing biosimilars of bevacizumab for the management of cancer patients receiving systemic bevacizumab in the National Health System (SNHS) of Spain. Methods A 3-year budget impact analysis model was adapted to estimate the cost of introducing biosimilars of bevacizumab in the SNHS for the adult population who were candidates to receive treatment with bevacizumab. Values for the estimation of the population were obtained from the literature and were validated by an expert panel. In this analysis only pharmaceutical costs (euro, year 2021) obtained from official databases were considered. A sensitivity analysis was performed to examine the robustness of the model. Results The introduction of bevacizumab biosimilars would generate an annual cost saving of euro11 558 268 (-5.1%) for the first year with a penetration share of biosimilars from 30.0%, euro29 126 373 (-8.5%) for the second year with a share of 50.0% and euro52 361 778 (-13.6%) for the third year with a share of 80.0%. The total pharmaceutical costs of the scenario without biosimilars are euro227 033 352 for the first year, euro342 663 209 for the second year and euro385 013 076 for the third year. In contrast, the pharmaceutical costs of the scenario with bevacizumab biosimilars are euro215 475 084, euro313 536 836 and euro332 651 297 for years 1, 2 and 3, respectively. Conclusions The introduction of biosimilars in the Spanish Health System would generate saving costs in the pharmacological budget to boost biological drugs from the first year.
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Keywords
economics, pharmaceutical, public health, medical oncology, antineoplastic agents, health care economics and organizations, Lung-cancer, Recurrent