Objective
To assess the cost-effectiveness of treatments for locally advanced and metastatic cancer
Methods
- Developed a cohort partitioned survival model informed by published clinical trial data
- Digitised Kaplan–Meier survival curves to reconstruct patient-level data and fitted appropriate parametric survival distributions
- Applied treatment-specific hazard ratios to estimate progression-free survival (PFS) and overall survival (OS)
- Incorporated treatment, disease management, and end-of-life costs, along with health-state utility values, into the model
Outcome
The model generated estimates of total costs, QALYs, and incremental cost-effectiveness, providing decision-grade evidence to support decision-making