A PRIMER for the Application and Implementation of an Antineoplastic Infusion-Related Reaction Algorithm in Adult
Megan A Corbett1, Marylou Nesbitt2
1Megan A. Corbett.
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.
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