Advancing Shared Decision Making for Stroke Prevention in Atrial Fibrillation
Official title: Advancing Shared Decision Making for Stroke Prevention in Atrial Fibrillation: A Meta-Analysis of Randomized Trials of Decision Aids
Funded at Utah State Higher Education System--University of Utah · NIH-11445391 · Data updated 2026-11-12
Aims to combine data from three big trials to understand how decision aids help people with atrial fibrillation choose anticoagulation to prevent stroke, in a patient-centered way.
Quick facts
| Grant type | R21 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Utah State Higher Education System--University of Utah NIH-funded |
| Lab location | 1 site (Salt Lake City, United States) |
| Project start | September 1, 2026 |
| Project end | May 31, 2028 |
| Funding year | 2026 |
| Award (this year) | $231,000 |
| NIH project number | 1R21HL188524-01 |
| Project ID | NIH-11445391 on NIH RePORTER |
Who could benefit from this research
✓Could help
Adults with atrial fibrillation considering anticoagulation and interested in shared decision making.
✕Less likely to help
Patients not considering anticoagulation or not seeking decision-making support may see limited direct benefit.
What this research studies
This project looks at whether tools that help patients understand their options for stroke prevention in atrial fibrillation lead to better alignment with what matters to them. By pooling data from three large randomized trials, researchers will examine how decision aids affect choices, satisfaction, and treatment adherence. The work focuses on people with atrial fibrillation who face decisions about taking blood thinners to reduce stroke risk, with the goal of making care match patient values.
Why it matters
Potential benefit: If successful, the findings could make shared decision making with anticoagulation clearer and more effective for patients with atrial fibrillation, potentially reducing stroke risk and improving satisfaction with care.
How similar studies have gone: Previous decision aid studies in atrial fibrillation show promise, and this meta-analysis aims to clarify their overall effectiveness across trials.
Where this research is happening
-
Utah State Higher Education System--University of Utah
Salt Lake City, United States Active
Researchers
- Principal investigator: Ozanne, Elissa Mary — Utah State Higher Education System--University of Utah
- Study coordinator: Ozanne, Elissa Mary
Related research
Other NIH-funded projects on the same topics.
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DECIDE-AF: a shared decision tool in your health portal to help prevent strokes in atrial fibrillation
A patient-friendly tool in your electronic health record helps you and your doctor choose the right way to prevent strokes if you have atrial fibrillation.
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Aims to create a personalized, easy-to-use tool that predicts stroke risk for people with atrial fibrillation using big health data and transparent machine-learning methods.
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New AI approach to detect and predict atrial fibrillation after stroke
A patient-friendly AI-based method is being developed to spot atrial fibrillation early in people who have had a stroke, using wearable heart-rate signals.
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Decision aids to help Veterans choose the best amputation level
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About this research
- This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
- Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
- For full project details, budget, and progress reports, visit the official NIH RePORTER page.