Effectiveness of an electronic health record model for HIV pre-exposure prophylaxis.

Abstract

Pre-exposure prophylaxis (PrEP) to prevent human immunodeficiency virus (HIV) is extremely effective when taken correctly, though grossly under-prescribed for at-risk patients. We initiated a best practice advisory (BPA) in the Epic electronic medical record (EMR) to identify patients who met criteria for PrEP use. We evaluated this model to determine its effectiveness in identifying patients and its use by providers for increasing prescription of PrEP. The BPA fired 145 times with five total new PrEP prescriptions. Over half of the patients identified were cisgender women, a group that is both under prescribed PrEP and missed by prior EMR PrEP algorithms. Half of the patients were African American, a group at high risk of HIV infection. Though the model was effective at identifying patients, provider initiation of PrEP or acknowledgment of the BPA was low. Further education of providers regarding PrEP usage and expansion of BPA messages are needed to increase rates of PrEP initiation.