Campo DC | Valor | Idioma |
dc.contributor.author | Castro, Renata da Nóbrega Souza de | - |
dc.contributor.author | Aguiar, Lucas Barbosa de | - |
dc.contributor.author | Volpe, Cris Renata Grou | - |
dc.contributor.author | Silva, Calliandra Maria de Souza | - |
dc.contributor.author | Silva, Izabel Cristina Rodrigues da | - |
dc.contributor.author | Stival, Marina Morato | - |
dc.contributor.author | Silva, Everton Nunes da | - |
dc.contributor.author | Meiners, Micheline Marie Milward de Azevedo | - |
dc.contributor.author | Funghetto, Silvana Schwerz | - |
dc.date.accessioned | 2024-02-28T14:04:36Z | - |
dc.date.available | 2024-02-28T14:04:36Z | - |
dc.date.issued | 2023-09-20 | - |
dc.identifier.citation | CASTRO, Renata da Nóbrega Souza de et al. International Journal Environmental Research Public Health, v. 20, n. 18, 6788, 2023. Determining medication errors in an adult intensive care unit. DOI: https://www.mdpi.com/1660-4601/20/18/6788. Disponível em: https://www.mdpi.com/1660-4601/20/18/6788. | pt_BR |
dc.identifier.uri | http://repositorio2.unb.br/jspui/handle/10482/47933 | - |
dc.description.abstract | Introduction: Research addressing the costs of Medication errors (MEs) is still scarce despite issues related to patient safety having significant economic and health impacts, making it imperative to analyze the costs and adverse events related to MEs for a better patient, professional, and institutional safety. Aim: To identify the number of medication errors and verify whether this number was associated with increased hospitalization costs for patients in an Intensive Care Unit (ICU). Method: This retrospective cross-sectional cohort study evaluated secondary data from patients’ electronic medical records to compile variables, create a model, and survey hospitalization costs. The statistical analysis included calculating medication error rates, descriptive analysis, and simple and multivariate regression. Results: The omission error rate showed the highest number of errors per drug dose (59.8%) and total errors observed in the sample (55.31%), followed by the time error rate (26.97%; 24.95%). The omission error had the highest average when analyzing the entire hospitalization (170.40) and day of hospitalization (13.79). Hospitalization costs were significantly and positively correlated with scheduling errors, with an increase of BRL 121.92 (about USD $25.00) (95% CI 43.09; 200.74), and to prescription errors, with an increase of BRL 63.51 (about USD $3.00) (95% CI 29.93; 97.09). Conclusion: We observed an association between two types of medication errors and increased hospitalization costs in an adult ICU (scheduling and prescription errors). | pt_BR |
dc.language.iso | eng | pt_BR |
dc.publisher | MDPI | pt_BR |
dc.rights | Acesso Aberto | pt_BR |
dc.title | Determining medication errors in an adult intensive care unit | pt_BR |
dc.type | Artigo | pt_BR |
dc.subject.keyword | Erro de medicação | pt_BR |
dc.subject.keyword | Segurança do paciente | pt_BR |
dc.subject.keyword | Unidade de terapia intensiva | pt_BR |
dc.subject.keyword | Custos hospitalares | pt_BR |
dc.subject.keyword | Análise de custos | pt_BR |
dc.rights.license | Copyright: © 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https:// creativecommons.org/licenses/by/ 4.0/). | pt_BR |
dc.identifier.doi | https://doi.org/10.3390/ijerph20186788 | pt_BR |
dc.identifier.orcid | https://orcid.org/0000-0001-5957-586X | pt_BR |
dc.identifier.orcid | https://orcid.org/0000-0002-1170-8974 | pt_BR |
dc.identifier.orcid | https://orcid.org/0000-0002-9064-0735 | pt_BR |
dc.identifier.orcid | https://orcid.org/0000-0002-6836-3583 | pt_BR |
dc.identifier.orcid | https://orcid.org/0000-0001-6830-4914 | pt_BR |
dc.identifier.orcid | https://orcid.org/0000-0001-8747-4185 | pt_BR |
dc.identifier.orcid | https://orcid.org/0000-0003-1300-9576 | pt_BR |
dc.identifier.orcid | https://orcid.org/0000-0002-9332-9029 | pt_BR |
dc.contributor.affiliation | University of Brasília, Faculty of Ceilandia, Graduate Program in Health Sciences and Technologies | pt_BR |
dc.contributor.affiliation | University of Brasília, Faculty of Ceilandia, Graduate Program in Health Sciences and Technologies | pt_BR |
dc.contributor.affiliation | University of Brasília, Department of Nursing, Faculty of Ceilandia | pt_BR |
dc.contributor.affiliation | University of Brasília, Faculty of Ceilandia, Graduate Program in Health Sciences and Technologies | pt_BR |
dc.contributor.affiliation | University of Brasília, Faculty of Ceilandia, Graduate Program in Health Sciences and Technologies | pt_BR |
dc.contributor.affiliation | University of Brasília, Faculty of Ceilandia, Graduate Program in Health Sciences and Technologies | pt_BR |
dc.contributor.affiliation | University of Brasília, Faculty of Ceilandia, Graduate Program in Health Sciences and Technologies | pt_BR |
dc.contributor.affiliation | University of Brasília, Faculty of Ceilandia, Department of Pharmacy | pt_BR |
dc.contributor.affiliation | University of Brasília, Faculty of Ceilandia, Graduate Program in Health Sciences and Technologies | pt_BR |
dc.description.unidade | Faculdade UnB Ceilândia (FCE) | pt_BR |
dc.description.unidade | Curso de Enfermagem (FCE-ENF) | pt_BR |
dc.description.unidade | Curso de Farmácia (FCE-FAR) | pt_BR |
dc.description.ppg | Programa de Pós-Graduação em Ciências e Tecnologias em Saúde | pt_BR |
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