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PhD Seminar in Health Policy: Using Secondary Data to Conduct Health Policy Research

East Baltimore
1st Term
Health Policy and Management
Academic Year
2023 - 2024
Instruction Method
Class Time(s)
Monday, 1:30 - 3:20pm
Auditors Allowed
Available to Undergraduate
Grading Restriction
Letter Grade or Pass/Fail
Course Instructor(s)
Contact Name
Frequency Schedule
Every Year
Next Offered
2024 - 2025

300.721 -724 and successful passing of HPM PhD qualifying exam

Provides a small class-size, doctoral-focused experience and examines some of the most common data sources used in the field to study health policy and management research topics. Emphasizes secondary data sources and discusses: (1) data structure, measurement, and challenges with conducting research with secondary data; (2) developing research questions and testable hypotheses using these data sources; (3) strategies for data cleaning, work flow management, and replication; (4) ethical considerations, data protection and storage related concerns; and (5) orally communicating strengths and weaknesses of datasets in the context of research talks.
Learning Objectives
Upon successfully completing this course, students will be able to:
  1. Explain data structure, methodological approaches and challenges associated with conducting research using some of the most common secondary datasets available for health policy and management research
  2. Critically evaluate the use of data sources for studying contemporary health policy and management issues
Methods of Assessment
This course is evaluated as follows:
  • 20% Participation
  • 60% Final Paper
  • 20% Presentation(s)
Enrollment Restriction
HPM 2nd year PhD students only