A PRIMER for the Application and Implementation of an Antineoplastic Infusion-Related Reaction Algorithm in Adult Ambulatory Oncology Settings

BACKGROUND: Although risk factors have been identified and certain treatment plans require premedications to prevent reactions, it remains uncertain which patient will have an antineoplastic infusion-related reaction (IRR), and there is no way to predict the severity of that reaction. OBJECTIVES: This article highlights details of these risks and emphasizes interventions to identify, prevent, minimize, and manage IRRs in adult ambulatory cancer treatment settings. METHODS: Using the mnemonic PRIMER (prevention, recognition, intervention, management, evaluation, and recommendation), this article outlines key topics for infusion centers to ensure safe, high-quality care for high-risk patients. FINDINGS: Using a standardized, evidence-based IRR algorithm based on the PRIMER model can optimize outcomes for patients who experience antineoplastic IRRs.