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.
Document Type
Presentation
Publication Date
10-8-2015
Repository Citation
Mays, Glen P.; Stromberg, Arnold J.; Li, Jing; and Williams, Mark V., "Analytic Approaches for Causal Inference with Complex Multi-Component Interventions" (2015). Health Management and Policy Presentations. 115.
https://uknowledge.uky.edu/hsm_present/115
Included in
Community Health and Preventive Medicine Commons, Health and Medical Administration Commons, Health Economics Commons, Health Services Research Commons
Notes/Citation Information
A presentation at the First Annual Meeting of the Patient Centered Outcomes Research Institute in Arlington, VA.