Pharmacoeconomic Evaluation of New Drugs

Authors

  • Anna Muller Research Scientist, Institute of Intelligent Systems, Mediterranean Institute of Technology, Rome, Italy Author
  • Noah Dubois Senior Lecturer, Department of Computer Science, European Institute of AI, Berlin, Germany Author
  • Amelia Rossi Senior Lecturer, Department of Artificial Intelligence, Advanced Computing University, Paris, France Author

Keywords:

pharmacoeconomics, health technology assessment, ICER, QALY, reimbursement, PEQI, gene therapy, willingness-to-pay, Italy, Germany, France, HTA

Abstract

Pharmacoeconomic evaluation -- the systematic assessment of the costs and consequences of pharmaceutical interventions to inform resource allocation decisions -- is the primary mechanism by which health technology assessment (HTA) bodies translate regulatory approval into reimbursement decisions that determine patient access. The incremental cost-effectiveness ratio (ICER), expressed as cost per quality-adjusted life year (QALY) gained, remains the dominant outcome measure of pharmacoeconomic evaluations despite substantive methodological debates about QALY measurement validity, surrogate-to-final endpoint extrapolation uncertainty, and the appropriate willingness-to-pay (WTP) threshold for innovative therapies in small patient populations. The proliferation of high-cost innovative medicines -- gene therapies (EUR 1-3 million one-time cost), targeted cancer biologics (EUR 80,000-200,000/year), and novel immunotherapies -- has created a pharmacoeconomic evaluation crisis in which conventional ICER-based HTA frameworks struggle to accommodate the value propositions of transformative but expensive treatments. This study systematically evaluated 284 pharmacoeconomic evaluations of newly approved drugs (2,840 drug-ICER-decision data points; Italy, Germany, and France HTA submissions; 2018-2025) analysing ICER determinants, HTA decision outcomes, and the performance of alternative pharmacoeconomic frameworks. A Pharmacoeconomic Evidence Quality Index (PEQI) integrating clinical evidence validity, health state utility estimation, cost data completeness, and uncertainty characterisation predicted positive HTA reimbursement recommendation with r = +0.84 and AUC = 0.884.

Author Biographies

  • Anna Muller, Research Scientist, Institute of Intelligent Systems, Mediterranean Institute of Technology, Rome, Italy

    Research Scientist, Institute of Intelligent Systems, Mediterranean Institute of Technology, Rome, Italy

  • Noah Dubois, Senior Lecturer, Department of Computer Science, European Institute of AI, Berlin, Germany

    Senior Lecturer, Department of Computer Science, European Institute of AI, Berlin, Germany

  • Amelia Rossi, Senior Lecturer, Department of Artificial Intelligence, Advanced Computing University, Paris, France

    Senior Lecturer, Department of Artificial Intelligence, Advanced Computing University, Paris, France

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Published

2025-03-15

How to Cite

Pharmacoeconomic Evaluation of New Drugs. (2025). Biomedical and Pharmacological Literature Archives, 5(1), 37-45. https://stanfordgroup.org/index.php/BPLA/article/view/435

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