313.603.01 Economic Evaluation III
- Health Policy and Management
- 3rd term
- 3 credits
- Academic Year:
- 2019 - 2020
- East Baltimore
- Class Times:
- Wednesday, 3:30 - 6:20pm
Cost-effectiveness analysis (CEA) is a multidisciplinary science which aims to systematically and rigorously compare health interventions to reach optimal decision-making. Rooted in economic theory, decision science and statistics, CEA (and related methodologies) continue to evolve into a diverse toolkit of techniques that allow us to better quantify costs and effects of healthcare technologies and public health interventions.
Builds upon the theoretical concepts taught in Economic Evaluation I-II by providing advanced content in the areas of decision analysis, cost-effectiveness, and alternative approaches of modeling research questions for these fields. Include approaches for calculation of costs and effectiveness measures using standard modeling methods. Compares outputs as a result of decision tree and Markov modeling and introduces sensitivity analysis. Includes group projects to produce a well-thought model on a topic of their own choosing in decision analysis or cost-effectiveness.
- Learning Objectives:
- Differentiate between decision analysis and cost-effectiveness analysis modeling methods
- Determine the costs, effectiveness measures, and health outcomes associated with economic evaluation of public health topics
- Construct decision trees and Markov models
- Produce valid comparative results of economic evaluation(s)
- Analyze uncertainty through the use of Bayesian multivariate probabilistic sensitivity analysis
- Methods of Assessment:
4 homework assignments based on labs (30%); final exam (30%); final group project (40%)
- Enrollment Restriction:
Undergraduate students are not permitted in this course
- Instructor Consent:
Consent required for some students
- Consent Note:
Required if Economic Evaluation II was not completed in term 2 of 2018-2019.
- For consent, contact:
- Jointly Offered With:
- Special Comments:
Since participation is a critical component of this course, the instructor suggests that students should register for a letter grade. In addition, this course is intense in programming with Microsoft Excel and Visual Basic Code; students should be comfortable performing these computing methods to satisfactorily complete the course.