Program Competencies

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

  1. Design, evaluate, interpret and communicated the results of non-randomized, observational research for applications in health outcomes, health economics and health policy research
  2. Evaluate the reliability, validity and generalizability of individual biomedical research studies
  3. Synthesize evidence for health policy decision makers to facilitate translation of interventions, applications, or programs
  4. Use statistical and business software to analyze health outcomes, health care costs, health policy and health economics
  5. Work independently and as part of a team to conduct health outcome and economic research projects

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