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Value-Based Pricing for Emerging Gene Therapies: The Economic Case for a Higher Cost-Effectiveness Threshold
Louis P Garrison1, Tristen Jackson2, Douglas Paul2
11 The Comparative Health Outcomes, Policy, and Economics (CHOICE) Institute, University of Washington School of Pharmacy, Seattle.
One-time gene replacement therapies for rare diseases challenge healthcare reimbursement. A higher cost-effectiveness threshold (CET) is proposed to appropriately reward gene therapy innovation and value.
Area of Science:
- Health economics
- Pharmacoeconomics
- Gene therapy value assessment
Background:
- One-time gene replacement therapies offer transformative potential for ultrarare, health-catastrophic diseases.
- Current U.S. healthcare systems face reimbursement challenges with single-administration gene therapies.
- There is no established consensus on valuing gene therapy innovation.
Purpose of the Study:
- To characterize challenges in traditional value assessment for one-time gene replacement therapies.
- To provide a health economic rationale for a higher value-based cost-effectiveness threshold (CET).
- To explore broader value concepts beyond quality-adjusted life-year (QALY) gains.
Main Methods:
- Review of existing cost-effectiveness threshold (CET) benchmarks.
- Discussion of health technology assessment (HTA) decision-making practices.
- Exploration of expanded value assessment frameworks, including insurance value, disease severity, real option value, value of hope, and equity.
Main Results:
- Ultrarare, health-catastrophic conditions warrant a higher CET, with benchmarks ranging up to $500K/QALY (US) and £300,000/QALY (UK).
- Broader value concepts beyond QALYs are crucial for accurately assessing gene therapy value.
- A higher CET is economically logical to support higher value-based pricing for gene therapies.
Conclusions:
- A higher, value-based CET is necessary to incentivize development and investment in gene therapies for rare diseases.
- Consensus on rewarding gene therapy value is imperative for diseases like spinal muscular atrophy (SMA).
- Failure to establish appropriate reward mechanisms will hinder future innovation in gene therapy.
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