JOURNAL ARTICLE
Using QI to develop a sustainable method for titrating taxane infusions to reduce hypersensitivity reactions.
Published In: Journal of Oncology Pharmacy Practice, 2026, v. 32, n. 2. P. 304 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Jabaley, Terri; Menon, Susanne; Bagley, Janet; Tuskan, Jacqueline; Mazzola, Emanuele; Costa, Jennifer; Rompelman, Garrett; Servant, Jennifer; Corbett, Megan; Lynch, Donna-Marie 3 of 3
Abstract
This article focuses on the development and evaluation of a sustainable three-step titration method for administering first and second doses of taxane chemotherapies (paclitaxel and docetaxel) to reduce immediate hypersensitivity reactions (HSRs). Conducted at a large National Cancer Institute (NCI)-designated comprehensive cancer center, the quality improvement study integrated best practices in patient and environmental safety, including the use of standardized, preprogrammed infusion rates and priming intravenous tubing with inert fluid rather than hazardous drug (HD). Analysis of 1,221 taxane infusions from 690 patients showed that this sustainable method significantly lowered HSR incidence compared to non-titrated infusions (6% vs. 19%, P = 0.001) and had comparable effectiveness to a previously tested titration method that was less compliant with safety standards. The study concludes that this approach balances efficacy in reducing HSRs with adherence to regulatory safety guidelines and is recommended for routine use in ambulatory oncology settings for taxane-naïve patients receiving initial doses.
Additional Information
- Source:Journal of Oncology Pharmacy Practice. 2026/03, Vol. 32, Issue 2, p304
- Document Type:Article
- Subject Area:Anatomy and Physiology
- Publication Date:2026
- ISSN:1078-1552
- DOI:10.1177/10781552241288775
- Accession Number:192502935
- Copyright Statement:Copyright of Journal of Oncology Pharmacy Practice is the property of Sage Publications Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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