Course Description

To create effective change in health care, we must be able to measure impact. This course pairs fundamental concepts and empirical methods with practical case studies. It prepares you to advocate for rigorous evaluation and collaborate with researchers to evaluate the impact of health policy and programs. Course topics include:

  • Confounding sources of bias

  • Types of validity

  • Establishing a valid counterfactual

  • Common study designs, including randomized controlled trials, regression discontinuity design, difference-in-difference or interrupted time series methods, matching, and natural experiments

This material will provide you with a conceptual understanding of how to use evaluation methods to identify opportunities for health care innovation and to measure the success of your own innovation projects.

Course Topics
  • Conceptual foundations and randomized trials
  • Randomized trials
  • Experimental designs
  • Advanced quasi-experimental designs
  • Evaluation in practice
Learning Objectives

After completing this course, you will be able to:

  • Summarize the strengths and weaknesses of common methodologies for the evaluation of program and policy change.
  • Associate evaluation methodologies with appropriate contexts for their use, and critique their application.
  • Use the SMART paradigm to articulate specific, measurable, and realistic outcome metrics.
  • Apply course concepts to managing, and making recommendations about, the evaluation of real-world health policies and programs.
  • Design a plan to measure the effectiveness of a health care innovation project.