Predicting the Population Budget Impact of Current and New Listings for Colorectal Cancer: The PRIMCAT-CRC Model

Abstract

Objectives: The number of patients utilizing new cancer treatments is an often highly uncertain yet critical parameter in estimating financial impact. In the PRedicting the population IMpact of CAncer Treatments (PRIMCAT) project, we developed a real-world data-driven PRIMCAT-CRC simulation framework that models the utilization of colorectal cancer (CRC) treatments at different disease stages over time. Methods: Clinical experts defined stage-specific treatment algorithms that informed a discrete event simulation (DES) implemented in R. The DES simulated an open patient population with varying disease type (colon or rectal cancer), stage (I-IV), and RAS mutation status (wild-type or mutant)..