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Presentation
Analytic Approaches for Causal Inferences with Complex Multi-Component Interventions: Project ACHIEVE's Study of Managing Care Transitions
First Annual Meeting of the Patient Centered Outcomes Research Institute (PCORI) (2015)
  • Glen P. Mays, University of Kentucky
Abstract
Estimating the causal effects of complex, multi-component health interventions is a task with many challenges in measurement and methodology. This presentation profiles the methods being used as part of the PCORI-funded Project Achieve, a national study to estimate the comparative effectiveness of heterogeneous care transition programs designed to help hospitalized patients and their caregivers navigate care delivery systems effectively and return back to the community with optimal health and wellbeing.
Publication Date
Fall October 8, 2015
Location
Arlington, VA
Citation Information
Glen P. Mays. "Analytic Approaches for Causal Inferences with Complex Multi-Component Interventions: Project ACHIEVE's Study of Managing Care Transitions" First Annual Meeting of the Patient Centered Outcomes Research Institute (PCORI) (2015)
Available at: http://works.bepress.com/glen_mays/225/