Semiautonomous Treatment Algorithm for the Management of Severe Hypertension in Pregnancy

Abstract

OBJECTIVE:To evaluate whether implementation of a semiautonomous treatment algorithm was associated with improved compliance with American College of Obstetricians and Gynecologists guidelines for rapid administration of antihypertensive therapy in the setting of sustained severe hypertension.METHODS:This was a single-center retrospective cohort study of admitted pregnant and postpartum patients treated for severe hypertension between January 2017 and March 2020. The semiautonomous treatment algorithm, which included vital sign monitoring, blood pressure thresholds for diagnosis of severe hypertension, and automated order sets for recommended first-line antihypertensive therapy were implemented between May 2018 and March 2019. The primary outcomes were the administration of antihypertensive therapy within 15, 30 and 60 minutes of diagnosis of severe hypertension. Comparisons were made between the preimplementation, during implementation, and postimplementation groups using χ2. Analysis was limited to the first episode of severe hypertension treated. Statistical significance was defined as P