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Br J Clin Pharmacol ; 90(5): 1333-1343, 2024 May.
Article in English | MEDLINE | ID: mdl-38403473

ABSTRACT

AIMS: The purpose of this work was to assess failures in the advanced prescription of parenteral anticancer agents in an adult day oncology care unit with more than 100 patients per day. METHODS: An a priori descriptive analysis was carried out by using the risk matrix approach. After defining the scope in a multidisciplinary meeting, we determined at each step the failure modes (FMs), their effects (E) and their associated causes (C). A severity score (S) was assigned to all effects and a probability of occurrence (O) to all causes. These S and O indicators, were used to obtain a criticality index (CI) matrix. We assessed the risk control (RC) of each failure in order to define a residual criticality index (rCI) matrix. RESULTS: During risk analysis, 14 FMs were detected, and 61 scenarios were identified considering all possible effects and causes. Nine situations (15%) were highlighted with the maximum CI, 18 (30%) with a medium CI, and 34 (55%) with a negligible CI. Nevertheless, among all these critical situations, only three (5%) had an rCI to process (i.e., missed dose adjustment, multiple prescriptions and abnormal biology data); the others required monitoring only. Clinicians' and pharmacists' knowledge of these critical situations enables them to manage the associated risks. CONCLUSIONS: Advanced prescription of injectable anticancer drugs appears to be a safe practice for patients when combined with risk management. The major risks identified concerned missed dose adjustment, prescription duplication and lack of consideration for abnormal biology data.


Subject(s)
Antineoplastic Agents , Humans , Antineoplastic Agents/administration & dosage , Antineoplastic Agents/adverse effects , Risk Assessment , Medication Errors/prevention & control , Medication Errors/statistics & numerical data , Neoplasms/drug therapy , Drug Prescriptions/statistics & numerical data , Drug Prescriptions/standards , Injections , Cancer Care Facilities/statistics & numerical data , Cancer Care Facilities/organization & administration , Healthcare Failure Mode and Effect Analysis , Adult
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