Comparative Evaluation of the Performance of Two Value Attribution Frameworks When Applied to Combination Regimens in Oncology
Author(s)
Gaultney J1, Sandhu H1, Jacob J1, Chen TY1, Zheng Y2, Sasane M2
1IQVIA Ltd, London, UK, 2Sanofi Genzyme, Cambridge, MA, USA
Presentation Documents
OBJECTIVES:
Access to oncology combinations remains challenging given the difficulty of attributing appropriate proportional value to the individual components. Two value attribution frameworks have been proposed to estimate the value attribution of combination components (Briggs and Towse). We compared how they perform in terms of consistency of recommended value split.METHODS:
An Excel-based model was developed to implement each framework and estimate the value split for three hypothetical combinations. The model estimated value split based on QALYs and other health benefits (PFS and OS) using the methodology outlined in both frameworks.RESULTS:
The frameworks differ in their underlying assumptions to estimate value split and data requirements. The Briggs approach does not require monotherapy data for the add-on but needs assumptions regarding market power of the backbone. The Towse framework assumes balanced market power (although weights can be changed) and requires health benefits for all components, suggesting structured expert elicitation to estimate missing evidence. With perfect information, the Towse approach attributes more value to the add-on in super-additive combinations if its monotherapy value is worse than the backbone, whereas the add-on receives more value in the Briggs framework when the combination is sub-additive. Where the added value of the combination is constant additive, the value split is equal for both frameworks. With imperfect information and balanced market power, Briggs attributes more value to add-on therapies than the Towse approach when the combination is assumed to be super-additive. When the combination is assumed to be sub-additive, the add-on receives less value in the Briggs framework.CONCLUSIONS:
Both frameworks are valuable as they promote stakeholder dialogue and engagement on this topic. Our findings demonstrate that they can lead to different conclusions depending on the available evidence. More research is needed before they are to be formally integrated in HTA and pricing negotiations.Conference/Value in Health Info
2023-11, ISPOR Europe 2023, Copenhagen, Denmark
Value in Health, Volume 26, Issue 11, S2 (December 2023)
Code
HTA230
Topic
Health Technology Assessment
Topic Subcategory
Value Frameworks & Dossier Format
Disease
No Additional Disease & Conditions/Specialized Treatment Areas, Oncology