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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)
Contact: Neff Walker
Academic Year: 2012 - 2013
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.

Student Evaluation: Web-based quizzes on course readings (30%); short assignments (30%); final exam (40%)
Learning Objective:

This course will prepare you to be able to do the following: (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.

Location: Baltimore
Class Times:
  • Tuesday 8:30 - 9:50
  • Thursday 8:30 - 9:50
Lab Times:
  • Thursday 1:30 - 3:20
  • Thursday 3:30 - 5:20
  • Friday 1:30 - 3:20
Enrollment Minimum: 10
Enrollment Maximum: 45
Enrollment Restriction: No undergraduate students
Instructor Consent: No consent required
For consent, contact: nwalker@jhsph.edu
Prerequisite:

Knowledge of basic biostatistics and epidemiology

Auditors Allowed: No
Grading Restriction: Letter Grade or Pass/Fail
Catalog Subcommittee Actions: CoInstructor1, .03/22/2013; CourseSectionNote, LabScheduleTypeId, .02/25/2013; EnrollMin, EnrollMax, .02/07/2013; CourseOfferRationaleNote, LabScheduleTypeId, .12/11/2012; CourseLearningObj, EnrollMin, EnrollMax, AuditorsAllowedId, CourseOfferRationaleNote, ContactPerson, ContactEmail, CPInstructor, .12/27/2011;
Special Comments: Students are required to register for one of the three lab sections. There is a max of 15 for each section.