Program Competencies

Each Department identifies competencies for each degree offered. These competencies reflect the full range of knowledge, skills, and other attributes that a student will acquire as a result of completing the requirements for a particular degree.

Upon graduation, a student completing the MS curriculum in Health Outcomes, Policy & Economics will be able to:

  • Design, evaluate, interpret and communicate the results of randomized and observational research for applications in health outcomes, health economics and health policy research
  • Evaluate the internal validity and generalizability of biomedical research studies and evidence syntheses for applications in health care policy decision-making
  • Work independently, and as part of a team, to conduct empirical analyses in health economics, health outcomes research, and epidemiology

Knowledge, Skills and Abilities developed in the Master of Science, Health Outcomes, Policy and Economics degree program

Knowledge (K)

  1. Sources of bias in study designs and methods to control bias between comparator groups
  2. Process for validation of exposure and outcomes
  3. Contents of various types of data sources and the strengths and weaknesses of data source types
  4. Structure and function of the health care system (US)
  5. Evolution and framework of health care
  6. Food and Drug Agency regulations on approval and monitoring of drugs, biologics, and devices
  7. Medication safety evaluation and reporting including REMS
  8. Managed care principles involving formulary structure, insurance, and reimbursement
  9. Basic framework and functioning of the pharmaceutical industry including drug development, approval and reimbursement
  10. Healthcare financing (US)
  11. Healthcare delivery and financing (selected global)

Skills and Abilities (SA)

  1. CEA/CUA/CBA and Decision analysis
  2. HTA/ economic methods to evaluate medical technology
  3. Experimental and quasi-experimental design options including RCTs (efficacy) and CER (effectiveness)
  4. Statistics through linear and logistic regression
  5. Statistical methods for missing data, matching/bias reduction, and other observational design methods
  6. Proficiency in introductory epidemiologic methods
  7. Critical review and appraisal including standards of evidence, literature reviews, systematic reviews and meta-analysis
  8. Interpretation, translation and communication of study results
  9. Preparation and evaluation of study designs and analytic plans including statistical analysis plans for RCT and observational studies
  10. Proficiency in SAS plus at least one additional data analytic software package
  11. Proficiency in Excel, Tree-age or other decision analytic software packages for CEA/CUA
  12. Ethical considerations in human subject research in biomedicine including IRB certification
  13. Develop and evaluate tools to assess patient reported outcomes of disease or treatments
  14. Analytic skills to evaluate health economics, health policy, health services and outcomes research studies