title: Prescribing medication errors in hospitalised patients: a prospective study.
abstract: The aims of this prospective study were to determine the incidence and types of prescribing medication errors and ways to prevent them from reaching patients. Data were collected from 4951 prescriptions over a 25 week period in 2002. Medication errors were classified as: incorrect dose, incorrect dose interval, duplication of therapy and drug interactions. The medical record analysis was used to compare prescribing with Croatian literature drug data and AHFS first Web version 2 (American Society of Health System Pharmacists). The incidence of medication errors in the entire sample, including all potential drug interactions, was 14.7%. However, as only 8 interactions (out of 356 potentially possible interactions) were assessed as clinically significant, then the total number of all types of medication errors was 379. This resulted in an incidence of 7.7%. Dosage errors were the most frequent errors, followed by incorrect interval, drug duplication and drug interaction. The difference between the incidence of potentially possible and clinically significant drug interactions was quite large (7.2 vs. 0.2%). Thus, a critical attitude is necessary when evaluating available data on drug interactions. Our findings point to the need of systematic control of prescribed therapies, which could be ensured by the application of the Unit Dose Drug Distribution System. A medication errors reporting program should be established both at the hospital and at national levels in Croatia.
authors.affiliation: Department of Clinical Pharmacy, Dubrava University Hospital, Zagreb, Croatia. vesnav@kbd.hr
authors.forename: Vesna
authors.initials: V
authors.lastname: Bacić Vrca
authors.forename: Mira
authors.initials: M
authors.lastname: Bećirević-Laćan
authors.forename: Velimir
authors.initials: V
authors.lastname: Bozikov
authors.forename: Mladen
authors.initials: M
authors.lastname: Birus
mesh_terms: D000328:Adult; D000368:Aged; D016208:Databases, Factual; D011307:Drug Prescriptions / Q000706:statistics & numerical data*; D005260:Female; D006760:Hospitalization; D006801:Humans; D008297:Male; D019300:Medical Errors / Q000706:statistics & numerical data*; D008509:Medication Systems; D008875:Middle Aged; D010607:Pharmacy Service, Hospital; D011446:Prospective Studies