A Review of the Utilization of Relative Dose Intensity and Dose Delay Factor in Health Technology Appraisals of Oncology Drugs in Solid Tumors.

Introduction: Relative dose intensity (RDI) and dose delay factor (DDF) are important variables in cost-effectiveness analyses of oncology drugs that impact incremental cost-effectiveness ratios (ICERs). However, there is little published evidence on how RDI and DDF affect ICERs and how the calculation and application of these measures vary across health technology appraisals (HTAs). To understand this further, we analyzed National Institute for Health and Care Excellence (NICE) HTAs.

Methods: The NICE website was manually searched for HTAs (submissions, Evidence Review Group appraisals, and company responses) of treatments in solid tumors from date of inception to March 31, 2024. Data were extracted on RDI/DDF calculation methods, application in economic models, HTA body feedback, and impact on ICERs.

Results: Of 265 HTAs sourced, 63 were identified for further review based on inclusion of RDI/DDF variables. Seven HTAs for solid tumors and 12 breast cancer HTAs were analyzed; breast cancer was chosen as a model as it is a leading cause of cancer mortality. RDI ranged from 85% to 100% across all HTAs. Approaches to calculating and applying RDI varied widely in these models, with some distinguishing between dose reductions, delays, and missed doses, while others used a single RDI metric. For combination therapies, RDI was sometimes applied differently across components. The NICE appraisal committees frequently raised concerns about lack of transparency in RDI calculations and assumptions around delayed/missed doses and wastage. Excluding RDI adjustments generally increased ICERs by 5%-10%.

Conclusions: There is heterogeneity in how RDI and dose modifications are handled in UK oncology HTAs. Areas for improvement that can support more informed HTA decision making include developing standardized methods for handling RDI/DDF that better reflect clinical practice, providing clearer regulatory guidance, conducting real-world dose-intensity studies, improving data collection, and creating tools to consistently incorporate dose data into economic models.