Improving Cancer Patient Outcomes and Cost-Effectiveness: A Markov Simulation of Improved Early Detection, Side Effect Management, and Palliative Care

I employed a Markov model to simulate outcomes for a cohort of 1,000 hypothetical patients, comparing improvements in early detection, side effect management, and palliative care over a ten-year period. This model showed benefits in early detection and proactive health management, improving disease stability and reducing mortality rates. This protocol resulted in an 85.8% five-year survival rate, compared to 69.5% under standard protocol. Cost-effectiveness analysis showed significantly reduced costs and improved quality-adjusted life years. Our findings underscore the importance of comprehensive cancer care. These improvements not only reduce simulated healthcare costs but also significantly improve patient outcomes.