Abstract
Aims
Six Delta is a six-dimensional independent platform for outcome-based pricing/contracting. The fourth dimension (δ4) estimates prices on the basis of assessments of the safety of the drug using an ex ante analysis based on clinical trial data. We describe this dimension’s methodology and present a proof-of-concept application to the treatment of non-small cell lung cancer (NSCLC) with EGFR mutation with osimertinib.
Materials and methods
The safety-based pricing dimension utilizes a four-step method: 1) pooling adverse events (AE), standardizing, estimating 95%Cis, and adjusting for time; 2) estimating correction factors and corrected probabilities of AEs; 3) estimating the probability of at least one adverse event (AE) occurring and leading to treatment discontinuation; and 4) estimating ranges for payback percentages and performing Monte Carlo Simulation to estimate a DSPSafety. A proof-of-concept exercise with osimertinib in NSCLC was performed for two hypothetical outcome-based contracts: 1-year (2019–2020) and 2-year (2019–2021). We estimated the DSPSafety based on the grade 3/4 AEs observed for osimertinib and standard of care. The 2018 wholesale acquisition cost (WAC) of osimertinib at $14,616 for a 30-day prescription was used.
Results
AEs3/4 were retrieved from the FLAURA trial. In the 1-year contract, the DSPSafety of osimertinib was estimated at $14,627 (or +0.08% the 2018 WAC) for a 30-day prescription. In the 2-year contract, the DSPSafety of osimertinib was estimated at $14,516 (or −0.68% the 2018 WAC) for a 30-day prescription.
Conclusions
We demonstrated that ex ante pricing methods-based paybacks for safety issues leading to treatment discontinuation can be integrated into our proposed Six Delta platform for outcome-based pricing/contracting.
Transparency
Declaration of funding
The work reported herein was performed without sponsorship or grant funding.
Declaration of financial/other relationships
The authors have no financial relationships to declare.
JME peer reviewers on this manuscript have no relevant financial or other relationships to disclose.
Author contributions
All named authors meet the International Committee of Medical Journal Editors (ICMJE) criteria for authorship of this manuscript.
Acknowledgements
The authors thank Amber Koslucher and Rayan Maldonado from the College of Public Health, University of Arizona, for validating the mathematical equations and for performing independent revisions of the assumptions, equations, and calculations.
Notes
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