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Determining Medication Errors in an Adult Intensive Care Unit
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 institut...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10531059/ https://www.ncbi.nlm.nih.gov/pubmed/37754646 http://dx.doi.org/10.3390/ijerph20186788 |
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author | de Castro, Renata da Nóbrega Souza de Aguiar, Lucas Barbosa Volpe, Cris Renata Grou Silva, Calliandra Maria de Souza da Silva, Izabel Cristina Rodrigues Stival, Marina Morato da Silva, Everton Nunes Meiners, Micheline Marie Milward de Azevedo Schwerz Funghetto, Silvana |
author_facet | de Castro, Renata da Nóbrega Souza de Aguiar, Lucas Barbosa Volpe, Cris Renata Grou Silva, Calliandra Maria de Souza da Silva, Izabel Cristina Rodrigues Stival, Marina Morato da Silva, Everton Nunes Meiners, Micheline Marie Milward de Azevedo Schwerz Funghetto, Silvana |
author_sort | de Castro, Renata da Nóbrega Souza |
collection | PubMed |
description | 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). |
format | Online Article Text |
id | pubmed-10531059 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-105310592023-09-28 Determining Medication Errors in an Adult Intensive Care Unit de Castro, Renata da Nóbrega Souza de Aguiar, Lucas Barbosa Volpe, Cris Renata Grou Silva, Calliandra Maria de Souza da Silva, Izabel Cristina Rodrigues Stival, Marina Morato da Silva, Everton Nunes Meiners, Micheline Marie Milward de Azevedo Schwerz Funghetto, Silvana Int J Environ Res Public Health Article 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). MDPI 2023-09-20 /pmc/articles/PMC10531059/ /pubmed/37754646 http://dx.doi.org/10.3390/ijerph20186788 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/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/). |
spellingShingle | Article de Castro, Renata da Nóbrega Souza de Aguiar, Lucas Barbosa Volpe, Cris Renata Grou Silva, Calliandra Maria de Souza da Silva, Izabel Cristina Rodrigues Stival, Marina Morato da Silva, Everton Nunes Meiners, Micheline Marie Milward de Azevedo Schwerz Funghetto, Silvana Determining Medication Errors in an Adult Intensive Care Unit |
title | Determining Medication Errors in an Adult Intensive Care Unit |
title_full | Determining Medication Errors in an Adult Intensive Care Unit |
title_fullStr | Determining Medication Errors in an Adult Intensive Care Unit |
title_full_unstemmed | Determining Medication Errors in an Adult Intensive Care Unit |
title_short | Determining Medication Errors in an Adult Intensive Care Unit |
title_sort | determining medication errors in an adult intensive care unit |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10531059/ https://www.ncbi.nlm.nih.gov/pubmed/37754646 http://dx.doi.org/10.3390/ijerph20186788 |
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