Background: Direct oral anticoagulants are first-line therapy for common thrombotic conditions, including atrial fibrillation and venous thromboembolism. Despite their strong efficacy and safety profile, evidence-based prescribing can be challenging given differences in dosing based on indication, renal function, and drug-drug interactions. The Veterans Health Affairs developed and implemented a population management dashboard to support pharmacist review of anticoagulant prescribing. The dashboard includes information about direct oral anticoagulants and dose prescribed, renal function, age, and weight, potential interacting medications, and the need for direct oral anticoagulant medication refills. It is a stand-alone system.
Methods: Using login data from the dashboard, nationwide implementation was evaluated using elements from the Reach, Effectiveness, Adoption, Implementation, and Maintenance framework.
Results: Between August 2016 and June 2020, 150/164 sites within the Veterans Health Affairs system used the dashboard, averaging 1875 patients per site. The dashboard was made available to sites on a staggered basis. Moderate or high adoption, defined as at least one login on at least 2 separate days per month, began slowly with 3/5 sites in the pilot phase but rapidly grew to 142/150 (94.7%) sites by June 2020. The average number of unique users per site increased from 2.4 to 7.5 over the study period. Moderate to high adoption of the dashboard's use was maintained for > 6 months in 126/150 (84.0%) sites by the end of the study period.
Conclusions: There was rapid and sustained implementation and adoption of a population health dashboard for evidence-based anticoagulant prescribing across the national United States Veterans Health Administration health system. The impact of this tool on clinical outcomes and strategies to replicate this care model in other health systems will be important for broad dissemination and uptake.
Keywords: anticoagulants; atrial fibrillation; clinical decision support systems; medication error; population health.