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Use of Geographic Variation to Estimate Effectiveness With Nonrandomized Data

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Notes

Recorded at the Comparative Effectiveness Research with Population-Based Data Conference, Baker Institute at Rice University, 2012. Presented by Mary Beth Landrum, PhD, Harvard Medical School.

Learning Module Notes Modules

  • Use of Geographic Variation to Estimate Effectiveness with Nonrandomized Data

    1. Introduction (0:00 - 8:09)
    2. Mary Beth Landrum: Presentation Overview (8:09 – 55:40)
      • The difficulty of comparative effectiveness research in population-based data sets
    3. Mary Beth Landrum: Q&A (55:40 – 1:11:29 )
    4. Speaker Transition Introductions: (1:11:29 – 1:14:45)
      • Matt Mejuski – Health Economist & Health Services Researcher 
    5. Presentation Overview: (1:14:45 – 1:16:53 )
      • Discuss motivation around quasi-experiments, context & skepticism
      • Incident vs. prevalent user cohort
      • Study design characteristics to improve the rigor
      • Internal Validity Threats, Strengths of External Validity
    6. Principles around Quasi-Experimental study designs: (1:16:53-2:05:10 )
      • Experimental studies/RCTs enable causality statements
      • Motivation & Value of Quasi-Experimental Studies
      • Ideal Quasi-Experiment: Internal Validity, HRT Controversy
      • Indirect evidence between RTC & quasi-experiments
      • Conclusions about concordance
      • 4 Design choices for rigorous quasi-experiments
      • The bottom line for quasi-experiments
    7.  Q&A (2:05:10 – 2:17:33)
  Learning Modules