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JCO Clin Cancer Inform ; 5: 805-810, 2021 08.
Artigo em Inglês | MEDLINE | ID: mdl-34351786

RESUMO

PURPOSE: Infusion drugs are regarded as one of the high-cost health care expenditures. One approach to decrease drug expenditures is by dose-rounding biologics and cytotoxic agents. The Hematology/Oncology Pharmacy Association recommends that biologic and cytotoxic agents are rounded to the nearest vial size if they are within 10% of the ordered dose. The purpose of this initiative is to determine the impact of an automated dose-rounding algorithm on drug expenses. METHODS: The dose-rounding algorithm was developed and integrated into the computerized physician order entry system for automated dose rounding to minimize impact on current workflow and to reduce medication errors. Twenty-four medications were preselected for dose rounding and included in the analysis. Ordered doses were automatically rounded to the nearest vial size if the dose was within 10% of the original dose. Prescribers then either reviewed and signed the rounded dose or manually entered the nonrounded dose. Cost savings were calculated as drug expense savings from doses rounded down. RESULTS: From July 2018 to June 2019, 10,206 doses of the selected medications were administered. Dose rounding occurred in 5,069 doses (49.7%). All 24 medications within the initiative were administered within the time of analysis. Of the rounded doses administered, 2,516 (49.6%) were rounded down to a commercially available vial size. Using wholesale acquisition cost pricing, the drug expense savings was approximately $3.6 million US dollars (USD). The medications with the highest savings were trastuzumab and ipilimumab, with annual savings of $756,780 USD and $494,517 USD, respectively. CONCLUSION: The automated dose-rounding algorithm at Michigan Medicine reduced drug expenditures substantially, and its integration within the computerized physician order entry system had minimal impact on current workflow.


Assuntos
Antineoplásicos , Custos de Medicamentos , Redução de Custos , Humanos
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