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Course Catalog

221.645.01 LARGE-SCALE EFFECTIVENESS EVALUATIONS OF HEALTH PROGRAMS

Department:
International Health
Term:
4th term
Credits:
3 credits
Academic Year:
2012 - 2013
Location:
East Baltimore
Class Times:
  • Tu Th,  8:30 - 9:50am
Lab Times:
  • Thursday,  1:30 - 3:20pm (01)
    Note:
    All students in this course must register for one of these one-credit labs.
  • Thursday,  3:30 - 5:20pm (02)
    Note:
    All students in this course must register for one of these one-credit labs.
  • Friday,  1:30 - 3:20pm (03)
    Note:
    All students in this course must register for one of these one-credit labs.
Auditors Allowed:
No
Grading Restriction:
Letter Grade or Pass/Fail
Contact:
Neff Walker
Course Instructors:

Course Evaluation

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Prerequisite:

Knowledge of basic biostatistics and epidemiology

Description:

Reviews the global efforts and methodological challenges in conducting large-scale effectiveness evaluations in health, emphasizing maternal and child health in low and middle income countries. Explores frequently-used approaches for data collection in impact evaluations. Discusses interpretation of results and attribution of observed changes to the program being evaluated. Includes operational arrangements of large-scale evaluations and interactions with policymakers.

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. describe the main methodological approaches and methods for data collection
  4. interpret the results of the evaluation and discuss whether these can be attributed to the program
  5. communicate effectively with policymakers and implementers throughout the evaluation cycle
Methods of Assessment:

Web-based quizzes on course readings (30%); short assignments (30%); final exam (40%)

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 15 for each section.