The global incidence of cancer is rising, putting significant strain on healthcare systems and increasing treatment costs, particularly in low- and middle-income countries, which will face greater challenges in managing new cancer cases in the next decade.
This study introduces a mathematical model to simulate public policy strategies that optimize spending and improve cancer-related health outcomes, using Colombia's data for validation and calibration.
Results indicate that a strategy emphasizing early detection and efficient treatment for early-stage cancer can lead to a 38% reduction in mortality and a 20% decrease in related costs (as a percentage of GDP), suggesting Colombia should enhance patient-centered care, prevention, and early detection initiatives.