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

Optimizing Stroke Prophylaxis of Acute Atrial Fibrillation With an Electronic Clinical Decision Support Tool: A Stepped-Wedge Cluster Randomized Trial Design

Status
Enrolling by invitation
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT05341986
Acronym
AF SWCRT-CDS
Enrollment
36
Registered
2022-04-22
Start date
2022-01-11
Completion date
2026-05-01
Last updated
2025-03-20

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Atrial Fibrillation

Brief summary

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.

Detailed description

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.

Interventions

Implementation of an EHR-based CDS tool for providers to use.

Sponsors

Oregon Health and Science University
Lead SponsorOTHER

Study design

Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
OTHER
Masking
NONE

Intervention model description

Using a convergent parallel quantitative-qualitative design (mixed-methods), we propose a stepped-wedge cluster randomized trial design with the implementation of an electronic health record (EHR) clinical decision support (CDS) tool in adults with new-onset AF that are OAC-naïve and at significant risk for stroke, in three ED settings with different practice patterns and culture, patient populations, and organizational readiness. 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.

Eligibility

Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
No

Inclusion criteria

(Patients): * A diagnosis of atrial fibrillation or paroxysmal atrial fibrillation (ICD-10 I48.0, I48.1, I48.9) during an ED visit with start dates between 1/11/2022 and 12/31/2025 within the patient's age \>18 years.

Exclusion criteria

(Patients): * Valvular disease, pregnancy, large esophageal varices, thrombocytopenia, severe or uncontrolled bleeding, severe liver or kidney disease, major surgery within 72 hours; OR * Recent brain, eye or spinal cord injury or surgery; OR * ED stroke, death or hospitalization at index visit; OR * Patient transferred from another hospital (to ensure availability of index ED visit data); OR * Left against medical advice; OR * Evidence of non-OAC naïve patient: * OAC prescribed in the prior 3mo to index ED visit; OR * Being managed by an anticoagulation clinic (ACC); Inclusion/

Design outcomes

Primary

MeasureTime frameDescription
Number of patients appropriately prescribed OACs after CDS tool implementation.through study completion, up to 4 yearsThe primary outcome is the number of patients appropriately prescribed OACs after CDS tool implementation.

Secondary

MeasureTime frameDescription
Clinician and patient feedback on acceptability and identification of barriers and facilitators to use of the tool.through study completion, up to 4 yearsSecondary outcomes include the clinician and patient feedback on acceptability and identification of barriers and facilitators to use of the tool.

Countries

United States

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026