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A Methodological Proposal for Health Technology Assessments: A Case Study on Biosimilar Drugs.
Marilisa Pia Dimmito1, Lisa Marinelli1, Eleonora Chiara Toto1
1Department of Pharmacy, University "G. d'Annunzio" of Chieti-Pescara, Via dei Vestini 31, 66100 Chieti, Italy; marilisa.dimmito@unich.it (M.P.D.); eleonora.toto@unich.it (E.C.T.); giuseppe.dibiase@unich.it (G.D.B.); ivana.cacciatore@unich.it (I.C.); pierpaolototo@gmail.com (P.T.); michele.ciulla@unich.it (M.C.); antonio.distefano@unich.it (A.D.S.).
This study introduces a new method for health technology assessments (HTAs) using mathematical models to predict drug costs. It helps healthcare decision-makers optimize pharmaceutical spending and resource allocation.
Area of Science:
- Health Economics
- Pharmaceutical Policy
- Health Technology Assessment
Background:
- Health technology assessments (HTAs) are crucial for informed healthcare decisions.
- Accurate prediction of pharmaceutical costs is essential for budget planning.
- Evaluating the economic impact of biological drugs requires robust analytical tools.
Purpose of the Study:
- To propose a novel methodological approach for multidisciplinary health technology assessments.
- To develop a system for predicting the initial price and actual cost of biological drugs.
- To create a tool for ranking regional negotiating capabilities in healthcare procurement.
Main Methods:
- Utilized mathematical models based on real-world data for cost prediction.
- Formulated degree coefficients by comparing real data with model-derived data.
- Applied the methodology to three classes of biological drugs for analysis.
Main Results:
- The approach provides accurate predictions for initial drug prices and actual costs.
- Degree coefficients effectively ranked the negotiating capabilities of Italian regions.
- The method demonstrated adaptability to various data types for HTA.
Conclusions:
- The proposed method supports healthcare decision-makers in planning and reducing pharmaceutical expenditure.
- This approach aids in evaluating medical technologies and rationalizing resource use.
- It serves as a valuable tool for minimizing waste and optimizing healthcare resource allocation within HTAs.
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