1. Define the Scope: Clearly define the population, interventions, and outcomes of interest.
2. Collect Data: Gather data on costs and health outcomes from clinical trials, observational studies, and administrative databases.
3. Modeling: Use statistical models to simulate the costs and outcomes of the interventions over a specified time horizon.
4. Sensitivity Analysis: Perform sensitivity analyses to assess the robustness of the results under different assumptions and scenarios.
5. Interpret Results: Interpret the results to determine the cost-effectiveness of each intervention. This often involves comparing the cost-effectiveness ratio to a predefined threshold (e.g., $50,000 per QALY gained).
