Economic evaluation studies are conducted to determine what, when and how to introduce new vaccines or which implementation approach/strategy would achieve better and effective coverage. This course will enable students to have a solid introduction to the theory, methods, and application of economic evaluation in health care with a specific focus on decision analysis and cost-effectiveness analysis. Students will learn about alternative approaches of modeling research questions for these fields, including calculation of costs and effectiveness measures using standard modeling methods. The course will also introduces how to compare outputs as a result of decision tree and Markov modeling, and sensitivity analysis.
At the conclusion of this course, students will be able to:
Define basic concepts of economic evaluation
Understand different methods and tools of economic evaluation
To define the scope of an economic evaluation
To understand how to frame comparators for your audience based on a target population
What are the alternatives to a vaccine program?
To define the perspectives impacted by a vaccine program
To understand how to frame the time horizon of a vaccine program
To consider the impact of vaccines on different stakeholders at different time points
To differentiate between uses of decision tree and Markov model
To identify study designs that contribute to better cost, effectiveness and probability parameter estimates
To understand the process of probability extraction from high-quality sources
To describe measurement of health gains in terms of health state preference and natural units
To provide background on the rationale and importance of decision analysis (DA) and cost-effectiveness analysis (CEA)
To explain the theoretical foundations DA/CEA
Session 1: Overview of decision analysis and cost-effectiveness
Session 2: Defining the scope of a cost-effectiveness analysis I
Session 3: Defining the scope of a cost-effectiveness analysis II
Session 4: Study design components of economic evaluation
Session 5: Measuring and valuing costs
Session 6: Measuring and valuing health outcomes
Session 7: Reporting and interpreting results of economic evaluation
Session 8: Introduction to decision tree modeling
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