27 September 2021 - 28 September 2021
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Causal Inference and Causal Diagrams in Big, Real-World Observational Data and Pragmatic Trials
LEVEL: Advanced
TRACK: Methodological & Statistical Research
LENGTH: 4 Hours | Course runs 2 consecutive days, 2 hours each day
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10:00AM-12:00PM (EDT) Eastern Daylight Time
14:00-16:00 (UTC) Coordinated Universal Time
16:00-18:00 (CEST) Central European Summer Time
Thursday, 7 October 2021 | Course runs 2 consecutive days, 2 hours per day
10:00AM-12:00PM (EDT) Eastern Daylight Time
14:00-16:00 (UTC) Coordinated Universal Time
16:00-18:00 (CEST) Central European Summer Time
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DESCRIPTION
There is significant and growing interest among both the payers and producers of medical products for arrangements that involve a “pay-for-performance” or “risk-sharing” element. These payment schemes involve a plan by which the performance of the product is tracked in a defined patient population over a specified period of time and the level of reimbursement is tied by formula to the outcomes achieved. Although these agreements have an intrinsic appeal, there can be substantial barriers to their implementation. Issues surrounding theory and practice, including incentives and barriers, will be analyzed along with several examples of performance-based schemes from Europe, the United States, and Australia. A hypothetical case study will be used in an interactive session to illustrate a systematic approach to weighing their applicability and feasibility.
FACULTY MEMBERSLouis P Garrison, PhD
Professor Emeritus
The Comparative Health Outcomes, Policy, and Economics Institute Department of Pharmacy
University of Washington
Seattle, WA, USA
Adrian Towse, MA, MPhil
Director Emeritus & Senior Research Fellow
Office of Health Economics
London, UK
Josh J Carlson, MPH, PhD
Associate Professor
Pharmaceutical Outcomes Research & Policy Program Department of Pharmacy
University of Washington
Seattle, WA, USA
Basic Schedule:
Class Time: 2 hours daily