title: Medication errors in a public hospital in Brazil.
abstract: This article describes the analysis of the frequency, type and risk factors relating to errors in the preparation and administration of medications in patients admitted to a public hospital in Brasilia Federal District, Brazil, which serves a population of approximately 500,000 inhabitants. Patients are commonly affected and harmed by medication errors, almost half of which are preventable. This is a cross-sectional, descriptive and exploratory study conducted in a clinical medicine unit. Direct observations were made by eight nurse technicians. The type of error, the type of drug involved and associated risk factors were analysed. Relationships between the occurrence of errors and risk factors were studied with logistic regression models. Of the 484 observed doses, 69.5% errors occurred during drug administration, 69.6% during the preparation stage, 48.6% were timing errors, 1.7% were dose-related errors and 9.5% were errors of omission. More than one error was detected in 34.5% of occasions. Unlabelled drugs increased the risk of timing errors by a factor of 13.72. Interruptions in preparation increased the risk of errors by a factor of 3.75. Caring for a larger number of patients (8-9) increased the risk of timing errors by a factor of 8.27. The research shows the need to manage the risk of medication errors in their real-life contexts by interposing safety barriers between the hazards and potential errors.
authors.affiliation: Associate Professor of Nursing; University of Brasilia, Brazil.
authors.forename: Cris
authors.initials: C
authors.lastname: Renata Grou Volpe
authors.affiliation: Adjunct Professor of Nursing; University of Brasilia, Brazil.
authors.forename: Diana Lúcia
authors.initials: DL
authors.lastname: Moura Pinho
authors.affiliation: Associate Professor of Nursing; University of Brasilia, Brazil.
authors.forename: Marina
authors.initials: M
authors.lastname: Morato Stival
authors.affiliation: Adjunct Professor of Pharmacy; University of Brasilia, Brazil.
authors.forename: Margo
authors.initials: M
authors.lastname: Gomes de Oliveira Karnikowski
mesh_terms: D001938:Brazil; D003430:Cross-Sectional Studies; D006779:Hospitals, Public / Q000706:statistics & numerical data; D006801:Humans; D016015:Logistic Models; D008508:Medication Errors / Q000145:classification / Q000517:prevention & control / Q000706:statistics & numerical data*; D018570:Risk Assessment