Skip Navigation

Course Catalog

221.645.01 Large-Scale Effectiveness Evaluations of Health Programs

International Health
2nd term
4 credits
Academic Year:
2017 - 2018
East Baltimore
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
Grading Restriction:
Letter Grade or Pass/Fail
Melissa Marx
Course Instructor s:

Knowledge of basic biostatistics and epidemiology


Uses lecture, live talks, case studies and individual and small-group applications to: review past and current global efforts to evaluate public health programs, (emphasizing newborn and child health in low income countries); define the major methodological challenges in conducting large-scale effectiveness evaluations; describe frequently-used evaluation designs and approaches for data collection and modeling in impact evaluations; discuss interpretation of results and attribution of observed changes to the program being evaluated; and describe strategies for promoting the uptake of results by policy makers and program planners.

Learning Objectives:

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

  1. Explain the importance of evaluating the effectiveness of large-scale health programs
  2. Prepare a conceptual model linking program inputs to health impact
  3. Select appropriate indicators and data collection methods for a large-scale evaluation
  4. Describe the main methodological approaches and methods for data collection
  5. Assess the advantages and limitations of evaluation design options
  6. Interpret the results of the evaluation and discuss whether these can be attributed to the program
  7. Communicate effectively with policymakers and implementers throughout the evaluation cycle
Methods of Assessment:

Participation in discussion group (10%); mid-term examination (40%); final assignment (50%)

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.