Optimizing Stroke Prophylaxis of Acute Atrial Fibrillation With an Electronic Clinical Decision Support Tool

Overview

Atrial fibrillation (AF) is the most common arrhythmia in the world, with significant morbidity and mortality. With appropriate oral anticoagulation, the risk of stroke due to atrial fibrillation decreases by 64%. Although atrial fibrillation is commonly diagnosed and treated in the Emergency Department (ED), oral anticoagulation is significantly underprescribed. Underprescribing has been attributed to a lack of empowerment and deferral of prescribing to longitudinal care clinicians. Using a convergent parallel quantitative-qualitative design (mixed-methods), we propose a stepped-wedge cluster randomized trial design with the implementation of a clinical decision support (CDS) tool in adults with new-onset AF that are OAC-naïve and at significant risk for stroke. In parallel, we will use qualitative approaches to evaluate clinician facilitators and barriers to tool utilization as well as patient satisfaction and engagement with the tool.

OBJECTIVES: AIM 1: Compare the magnitude of change of appropriate OAC prescribing over time at each ED with EHR-Based CDS tool implementation. H1a. A CDS tool will increase the prescribing of OACs at ED discharge in patients with new AF. H1b. The highly-integrated EHR-based CDS tool with a trigger will have a greater impact on the volume of prescribing compared to a less integrated web-based portal. AIM 2: Evaluate clinician experiences with factors that influence the CDS tool implementation through a qualitative approach. H2a. Clinicians will have high acceptability of the tool and be open to additional CDS tools. H2b. Health system resources, such as the ability to refer patients to an anticoagulation clinic or primary care, will facilitate ED tool utilization. AIM 3 (Exploratory): Determine patient satisfaction and engagement with ED visits across the three steps of CDS tool implementation and explore patient-clinician stories as mini-case studies (dyads) related to the recall of their experiences. AIM 1 addresses whether a CDS tool can increase clinician prescribing-thereby improving long-term outcomes for patients. AIM 2 will address clinician facilitators and barriers to the CDS tool. AIM 3 (exploratory) will allow the exploration of a patient-centered approach for the future development of a scalable and generalizable strategy for large-scale dissemination. Through a convergent parallel quantitative-qualitative study, we will capitalize on a missed opportunity to change the trajectory of care and outcomes of newly ED-diagnosed AF patients.