PS-015 Pharmaceutical interventions (pls) in electronic prescriptions

Abstract

BackgroundPIs add quality and safety to the drug treatment process, through records and their subsequent assessment.PurposeTo analyse the PIs made during the process of validating e-prescriptions at a regional hospital.Material and methodsA prospective, observational study of PIs made between August 2011 and August 2014 during the process of validating e-prescriptions by a software application (Silicon), in line with the adaption to Spain of the medication errors classification system of the National Coordinating Council for Medication Error Reporting and Prevention. The sections analysed were: wrong medicine, dose omission, incorrect dose, length of treatment, inadequate monitoring and other errors that included therapeutic duplication and exchange, the frequency, speed, route and technique of administration, preparation/handling and/or conditioning, and pharmaceutical method.Results413 PIs were recorded: 16.5% medicines errors (22% inappropriate/wrong drug for treatment intended), 8.8% dose omission (80% without a prescription stating the medicine required), 26.3% incorrect dose (59.6% dose higher than stipulated), 3.9% length of treatment (69% longer than necessary), 21% inadequate monitoring (94.1% no clinical review) and 24% other errors (30% frequency of administrative error). 52.8% of the PIs were for women. Average age: 65.8. Service areas: 38% internal medicine, 14.5% orthopaedic, 12% general surgery, 10.7% infectious diseases, 7.4% respiratory, 5.5% digestion, other areas with fewer occurrences. Medicines: n = 107 home treatment, n = 19 acenocoumarol, n = 11 serum therapy, n = 13 omeprazole, n = 8 amoxicillin/clavulanic and digoxin, n = 7 furosemide, n = 6 amlodipine and n = 5 metamizole and amphotericin B liposomal.ConclusionThe results show that home treatment accounted for most PIs, which has led to the development of a medicines reconciliation project. Acenocoumarol (high risk drug according to the Institute for Safe Medication Practices) was the drug that generated most PIs, and incorrect dose was the most frequent error. The PI analysis quantified and provided information on the medicines that required intervention, in order to minimise drug-related administration errors.ReferenceNo conflict of interest.