Goal 3: Advance Translational Research

Preventing Stroke from Atrial Fibrillation

How can health systems develop and implement validated measurement and feedback tools to identify patients with atrial fibrillation, categorize their risk factors for stroke, capture reasons for non-treatment, and develop interventions customized to those reasons to substantially improve the proportion of patients receiving effective oral anticoagulant stroke prevention treatment?

Tags (Keywords associated with the idea)

Is this idea a Compelling Question (CQ) or Critical Challenge (CC)? : Compelling Question (CQ)

Details on the impact of addressing this CQ or CC :

Registries show that only about half of patients with atrial fibrillation and risk for stroke are taking oral anticoagulants. Given 4 million Americans with atrial fibrillation, half of whom (2 million) are not treated, with 5% stroke rate per year, 67% of which can be prevented, there are 67000 strokes occuring in this untreated population per year in the US. Assuming half of these could be treated if programs were develped that were proven effective, this would result in 33,000 strokes prevented per year.

Feasibility and challenges of addressing this CQ or CC :

NIH funds are needed to address the complex set of health system, psychosocial, and health IT issues to answer this question. Atrial fibrillation is a common condition with patients presenting and being treated accross various parts of the health care system. Small programs have shown promise for the use of the electronic health record to systematically identify patients with atrial fibrillation, but health system leadership needs evidence of success and guidance before this will be possible on a broad scale. With evidence of feasibility and impact, performance measures may be developed that would substantially enhance adaptation.

Name of idea submitter and other team members who worked on this idea : Chris Granger


6 net votes
8 up votes
2 down votes
Idea No. 840