Dear workshop community,
We will convene for the Applied Statistics Workshop (Gov 3009) next week on
Wednesday (2/20).
The speaker is* Ankur Pandya *(Harvard Public Health) who will be
presenting his work, "Modeling the Cost Effectiveness of Two Big League
Pay-for-Performance Policies."
*Where:* CGIS Knafel Building, Room K354 (see this link
<https://map.harvard.edu/?bld=04471&level=9> for directions).
*When: *Wednesday, February 20th at 12 noon - 1:30 pm.
*Abstract: *
To date, evidence on pay-for-performance has been mixed. When
pay-for-performance policies improve health outcomes, researchers should
evaluate whether these health gains are worth the incremental costs
(financial incentives and increased utilization) needed to achieve them. We
used simulation modeling to evaluate the cost-effectiveness of two
pay-for-performance policies that were recently evaluated in major
journals: 1) a randomized controlled trial of financial incentives on
patients, physicians, or both for cholesterol control (Asch et al. JAMA
2015); and 2) a retrospective cross-country analysis of the United
Kingdom’s Quality and Outcomes Framework, the world’s largest primary care
pay-for-performance program (Ryan et al. Lancet 2016). We worked with the
authors of these studies to estimate the cost-effectiveness of these
programs and to identify the key drivers (e.g., levels of health effects,
levels of incentive payments, or modeling assumptions) of our model-based
results.
*All are welcome! Lunch is provided! *
Best,
Connor Jerzak
Applied Statistics Workshop -- Graduate Student Coordinator
An anonymous feedback form for the workshop can be found here at this link
<https://docs.google.com/forms/d/e/1FAIpQLScp4lPVBtp4Akf6K6ggmfcTUSIUHEJX89-CU8HWrQPpe9pjTw/viewform?usp=sf_link>.
Workshop listserv sign-up at this link
<https://lists.fas.harvard.edu/mailman/listinfo/gov3009-l>.
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