This work proposes a methodological approach that could be useful in multi-disciplinary health technology assessments (HTAs). Mathematical models based on real data were used to make predictions for the initial price and actual cost of three classes of biological drugs. Through a comparison of real data, with the data derived through this approach, degree coefficients were formulated to rank the negotiating capabilities of Italian regions. The proposed method could represent a valid means of support for healthcare decisionmakers in planning and reducing pharmaceutical spending, evaluating data, and finding uses for particular medical technologies. This study could be a useful tool for achieving the objectives of HTAs, providing a means of analysis that can be adapted to any data, which may be useful for rationalizing the use of health technologies, reducing waste, and optimally reallocating resources. © 2025 by the authors.
A Methodological Proposal for Health Technology Assessments: A Case Study on Biosimilar Drugs
Dimmito, Marilisa PiaPrimo
;Marinelli, Lisa
Secondo
;Toto, Eleonora Chiara;Cacciatore, Ivana;Toto, Pierpaolo;Ciulla, Michele;Santoleri, Fiorenzo;Di Stefano, AntonioUltimo
2025-01-01
Abstract
This work proposes a methodological approach that could be useful in multi-disciplinary health technology assessments (HTAs). Mathematical models based on real data were used to make predictions for the initial price and actual cost of three classes of biological drugs. Through a comparison of real data, with the data derived through this approach, degree coefficients were formulated to rank the negotiating capabilities of Italian regions. The proposed method could represent a valid means of support for healthcare decisionmakers in planning and reducing pharmaceutical spending, evaluating data, and finding uses for particular medical technologies. This study could be a useful tool for achieving the objectives of HTAs, providing a means of analysis that can be adapted to any data, which may be useful for rationalizing the use of health technologies, reducing waste, and optimally reallocating resources. © 2025 by the authors.| File | Dimensione | Formato | |
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