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221.647.01
Advanced Topics in Economic Evaluation & Modeling for Global Health

Location:
East Baltimore
Term:
4th term
Department:
International Health
Credits:
3 credits
Academic Year:
2021 - 2022
Instruction Method:
TBD
Class Times:
  • M W,  1:30 - 2:50pm
Auditors Allowed:
Yes, with instructor consent
Grading Restriction:
Letter Grade or Pass/Fail
Course Instructor:
Contact:
Bryan Patenaude
Resources:
Prerequisite:

Economic Evaluation I (313.601.01), II (313.602.01), and III (313.603.01)

Description:

Rooted in economic theory, decision science and statistics, economic evaluation models and related methodologies continue to evolve into a diverse toolkit of techniques that allow us to better model and evaluate the costs, effects, and outcomes of healthcare technologies and public health interventions. Builds upon the theoretical concepts taught in Economic Evaluation I-II and the methodological skills taught in Economic Evaluation III.

Examines advanced methods in the economic analysis of health programs with applications to domestic and international health. Explore methodologies for benefit-cost analysis (BCA), eliciting and analyzing revealed and stated preferences for BCA and cost-effectiveness analysis (CEA), discrete choice experiments (DCE), incorporating equity into economic analyses utilizing weighting and benefit-incidence analysis (BIA), epidemic simulation, microsimulation, and multi-criteria decision analysis.

Learning Objectives:

Upon successfully completing this course, students will be able to:

  1. Design a CEA and BCA utilizing survey data and conduct a provider-perspective and societal-level CEA and BCA based on survey data
  2. Describe the theoretical basis for cost-benefit analysis as differentiated from cost-effectiveness analysis
  3. Demonstrate the use of stated preference methods, reveled preference methods, microsimulation, and multi-criteria decision analysis in the allocation of health care resources
  4. Describe methods for examining equity and behavioral agents in economic analyses
Methods of Assessment:

This course is evaluated as follows:

  • 10% Participation
  • 60% Homework
  • 30% Group Project(s)

Enrollment Restriction:

Undergraduate students are not permitted in this course

Instructor Consent:

No consent required

Jointly Offered With: