Is there a need for a different methodological approach to modelling the cost-effectiveness of cell and gene therapies?
- Publication Type:
- Thesis
- Issue Date:
- 2024
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Chimeric antigen receptor T-cell therapies (CAR-Ts) were the first cell and gene therapies registered globally and considered for public funding via a health technology assessment (HTA) process. Access to CAR-T provides a potential cure for patients with certain blood cancers where previously there were limited alternatives and survival outcomes were poor. At the same time, these novel therapies have disrupted health care systems and challenged public funding decisions. While many of the issues in assessing the value of CAR-Ts are similar other medicines, particularly in oncology, complex manufacturing, potential for cure and high up-front costs make CAR-T unique. These elements combined have made assessing their cost-effectiveness for HTA purposes particularly challenging.
Using the CAR-T, tisagenlecleucel, for the treatment of young patients with relapsed or refractory (r/r) acute lymphoblastic leukaemia (ALL) as a case-study, the research objectives were: (1) identify sources of uncertainty in modelled economic evaluations of CAR-Ts considered by HTA agencies, (2) assess the utility of outcome-based payment arrangements (OBAs) as a mechanism for managing long-term clinical and economic uncertainty using a de novo modelling approach, (3) explicitly model the CAR-T treatment pathway to capture the impact of CAR-T infusion wait-time using discrete event simulation (DES), and (4) compare different modelling techniques to assess the impact of structural uncertainty on cost-effectiveness.
In addressing each of these objectives, this research demonstrates the importance of designing flexible model structures to incorporate OBAs to determine a suitable payment structure, outcome selection, and contractual conditions for implementation. The importance of considering the process of CAR-T in model design is evident, as delay in infusion of CAR-T resulted in substantial reduction in benefit at a population level. Overall, this research highlights the need for a bespoke modelling approach for CAR-T to identify the main sources of uncertainty impacting cost-effectiveness to aid decision-making at the initial point of assessment and facilitate speed of access to patients.
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