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Large-Scale Effectiveness Evaluations of Health Programs

2nd term
International Health
4 credits
Academic Year:
2020 - 2021
Instruction Method:
Class Times:
  • Tu Th,  8:30 - 10:20am
Lab Times:
  • Thursday,  1:30 - 3:20pm (01)
  • Thursday,  3:30 - 5:20pm (02)
  • Friday,  1:30 - 3:20pm (03)
Auditors Allowed:
Yes, with instructor consent
Undergrads Allowed:
Grading Restriction:
Letter Grade or Pass/Fail
Course Instructors:
Melissa Marx

Knowledge of basic biostatistics and epidemiology


Discusses evaluation of evidence-based public health programs, with a focus on low income countries. Addresses methodological challenges in designing and conducting effectiveness evaluations in these settings. Designs comprehensive measurement plans with knowledge gained about pros and cons of different ways to collect new data and use and/or model existing data to address all parts of impact chains. Discusses ways to design the evaluation and disseminate findings to maximize acceptance and use of findings.

Learning Objectives:

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

  1. Identify stakeholders of an impact evaluation
  2. Identify and document key objectives and answerable evaluation research questions that meet key stakeholders’ needs and are appropriate for program and setting
  3. Select and/or develop SMART indicators that answer the evaluation questions
  4. Propose a technically-sound design for evaluating the impact of program, focusing on key evaluation questions
  5. Identify pros and cons of evaluation designs under various constraints
  6. Identify appropriate sources of data and data collection methods to evaluate programs across the impact pathway
  7. Describe barriers and strategies to overcome barriers to promoting the uptake of results by policy makers and program planners
  8. Interpret evaluation results based on the design
  9. Prepare a conceptual model of the program being evaluated, linking program inputs to health impact
  10. Write a comprehensive evaluation plan and proposal
Methods of Assessment:

This course is evaluated as follows:

  • 50% Assignments
  • 40% Group Work
  • 10% Participation

Enrollment Restriction:

No undergraduate students

Instructor Consent:

No consent required

Special Comments:

Students are required to register for one of the three lab sections. There is a max of 16 for each section. No undergraduate students