Alert-Based Computerized Decision Support for Hospitalized Patients With AF Not Prescribed Anticoagulation

Study Questions:

Do computerized decision support (CDS) alerts increase anticoagulation prescribing for hospitalized patients with atrial fibrillation (AF)?

Methods:

An alert-based CDS program was developed that identified hospitalized patients with increased risk of stroke. A best practice advisory was placed in the electronic health record at Brigham and Women’s Hospital. Eligible patents with AF at increased risk of stroke but without a current anticoagulation order were identified (n = 458). They were randomly assigned to alert-based CDS (intervention) versus no notification (control). Patients were identified by the CDS program to have new, paroxysmal, persistent, or permanent non-valvular AF or atrial flutter by problem list, medical history, or admitting diagnosis. Their CHA2DS2-VASc score was calculated from data in the electronic health record. CDS defined anticoagulant therapy for stroke prevention as therapeutic doses of dabigatran, rivaroxaban, apixaban, edoxaban, intravenous unfractionated heparin, low-molecular weight heparins, fondaparinux, intravenous direct thrombin inhibitors, or warfarin with a target international normalized ratio of 2-3.

Providers in the alert group received a best practice advisory when completing admissions orders that stated patient’s indication for anticoagulation, increased risk of stroke, and lack of active anticoagulation order. Three options were given: 1) access to order Food and Drug Administration approved anticoagulation regimens for stroke prevention, 2) a link to information regarding evidence-based practice guidelines for stroke prevention in AF, or 3) proceeding without anticoagulation after providing rationale. Prescription of anticoagulation therapy was assessed during hospitalization, at discharge, and at 90 days.

The primary efficacy outcome was frequency of new anticoagulation prescription orders in alert versus control groups. The secondary efficacy outcome was occurrence of the composite of MACE (cerebrovascular accident, systemic embolism, myocardial infarction, and all-cause mortality) at 90 days. The primary safety outcome was major bleeding or clinically relevant non-major bleeding at 90 days.

Results:

The mean age of patients in both groups was 73 years. In both groups, the median CHA2DS2-VASc score was 4, and the median HAS-BLED score was 3. Patients in alert and control groups predominantly had paroxysmal AF (70.6% vs. 68.6%; p = 0.19). In the alert group, the anticoagulation order set was opened 35.4% of the time, rationale for leaving out anticoagulation was chosen 63.7%, and 0.8% chose to review practice guidelines. Risk of bleeding (50%) and risk of falls (12.5%) were the most common reason for bypassing the anticoagulation orders.

The alert increased ordering of anticoagulation during hospitalization versus the control group (25.8% vs. 9.5%; p < 0.0001; odds ratio [OR] 3.3; 95% confidence interval [CI], 1.92-5.68). On discharge, the CDS alert also increased anticoagulation prescriptions versus control group (23.8% vs. 12.9%; p = 0.003; OR 2.1; 95% CI, 1.29-3.48) as well as at 90 days (27.8% vs. 17.1%; p = 0.007; OR 1.9; 95% CI, 1.18-2.93). The composite endpoint of MACE at 90 days was decreased in the alert group versus control (11.3% vs. 21.9%; p = 0.002; OR 0.45; 95% CI, 0.27-0.76). The composite endpoint at 90 with the inclusion of major and clinically relevant non-major bleeding was also reduced (14.5% vs. 28.1%, p < 0.001; OR 0.44; 95% CI, 0.27-0.69). Incidents of cerebrovascular accident or systemic embolic events were reduced at 90 days (0% vs. 2.4%; p = 0.02; OR 0.12; 95% CI, 0.0-0.91), as was myocardial infarction (1.2% vs. 8.6%, p < 0.001; OR 0.13; 95% CI 0.04-0.45).

Conclusions:

Anticoagulation prescriptions in hospitalized patients with AF were increased by use of the alert-based CDS. Further study of the alert-based CDS is warranted because it shows potential to prevent MACE in patients with AF.

Perspective:

The alert-based identification of hospitalized patients with AF without anticoagulation lead to increased outpatient prescriptions as well as decreased event rates. Future studies of alert-based systems should explore their potential use in outpatient settings to identify patients with AF without anticoagulation, enhance outpatient anticoagulant prescribing, and reduce adverse events in this population.

Clinical Topics: Anticoagulation Management, Arrhythmias and Clinical EP, Anticoagulation Management and Atrial Fibrillation, Atrial Fibrillation/Supraventricular Arrhythmias

Keywords: Atrial Fibrillation, Anticoagulants, Electronic Health Records, Decision Making, Computer-Assisted, Hospitalization, Stroke


< Back to Listings