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Cancer cost profiles: The Epicost estimation approach
Silvia Francisci1, Guilia Capodaglio2, Anna Gigli3
1National Centre for Disease Prevention and Health Promotion, National Health Institute, Rome, Italy.
Estimating the economic burden of cancer is crucial for healthcare policy. The Epicost model provides a comprehensive approach to measure cancer care costs using multiple data sources, aiding in policy development.
Area of Science:
- Health Economics
- Oncology
- Public Health Policy
Background:
- Rising cancer burden presents significant challenges to healthcare systems globally.
- Increasing healthcare service utilization drives escalating cancer care costs.
- Accurate measurement and projection of economic burden are vital for effective policy interventions.
Purpose of the Study:
- To introduce and illustrate the Epicost model, a novel comprehensive approach for estimating the economic burden of cancer.
- To detail the methodology for calculating National Health Service reimbursements for cancer diagnosis and treatment costs.
- To demonstrate the model's application using a colon cancer cohort and its adaptability across different healthcare settings.
Main Methods:
- Utilizes a micro-data-driven cost analysis model (Epicost).
- Integrates multiple data sources, including Cancer Registry and administrative healthcare cost data.
- Estimates costs across distinct disease phases: initial, monitoring, and final care.
Main Results:
- The Epicost approach provides a detailed estimation of cancer-related healthcare expenditures.
- Successfully implemented and adapted in Italy and other European countries (Belgium, Norway, Poland).
- Demonstrates replicability in regions with accessible population-based cancer registry and administrative data.
Conclusions:
- The Epicost model offers a robust framework for assessing the economic impact of cancer.
- Facilitates evidence-based policy development for sustainable cancer care management.
- Highlights the importance of data linkage for comprehensive economic burden analysis.
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