Stepped-wedge randomised trial to evaluate population health intervention designed to increase appropriate anticoagulation in patients with atrial fibrillation.

ABSTRACT:

Background

Clinical guidelines recommend anticoagulation for patients with atrial fibrillation (AF) at high risk of stroke; however, studies report 40% of this population is not anticoagulated.

Objective

To evaluate a population health intervention to increase anticoagulation use in high-risk patients with AF.

Methods

We used machine learning algorithms to identify patients with AF from electronic health records at high risk of stroke (CHA₂DS₂-VASc risk score ≥2), and no anticoagulant prescriptions within 12 months. A clinical pharmacist in the anticoagulation service reviewed charts for algorithm-identified patients to assess appropriateness of initiating an anticoagulant. The pharmacist then contacted primary care providers of potentially under

SUBMITTER: Wang SV 

PROVIDER: S-EPMC7812610 | biostudies-literature | 2019 Oct

REPOSITORIES: biostudies-literature