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Implementation and outcome of an electronic tool for detection of paracetamol overdose in a tertiary care hospital

Background Paracetamol is a widely used analgesic and antipyretic drug in hospitals. The development and implementation of an electronic tool with algorithm-based alerts (e-agent) in a clinical information system could reduce the risk of overdose. Objective In this study, the performance of such an...

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Autores principales: Cabrera-Diaz, Francisco, Zaugg, Claudia, Lim, Silke, Blum, Kim, Salili, Ali Reza
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8214592/
https://www.ncbi.nlm.nih.gov/pubmed/33124678
http://dx.doi.org/10.1007/s11096-020-01182-2
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author Cabrera-Diaz, Francisco
Zaugg, Claudia
Lim, Silke
Blum, Kim
Salili, Ali Reza
author_facet Cabrera-Diaz, Francisco
Zaugg, Claudia
Lim, Silke
Blum, Kim
Salili, Ali Reza
author_sort Cabrera-Diaz, Francisco
collection PubMed
description Background Paracetamol is a widely used analgesic and antipyretic drug in hospitals. The development and implementation of an electronic tool with algorithm-based alerts (e-agent) in a clinical information system could reduce the risk of overdose. Objective In this study, the performance of such an e-agent developed to detect paracetamol overdosing was analyzed. Setting Swiss tertiary care hospital. Method All patients ≥ 18 years old who had documented paracetamol administration in the used clinical information system during 2017 were retrospectively screened for an absolute and relative overdosing of paracetamol (> 4 g and > 60 mg/kg/24 h, respectively). This was compared with the patients for which the e-agent had, during the same period, prospectively made an alert for absolute or relative overdosing or for a dosing interval < 4 h (potentially leading to an absolute overdose). Main outcome measure E-agent performance defined as detection rate. Results of the 13,196 adult patients who received at least one dose of paracetamol, 2292 were exposed at least once to > 4 g/day (17.4%), 39 of these (0.3% of total) were given > 5 g paracetamol. None received more than 6 g. The e-agent detected 87.2% of cases with doses > 5 g. In most cases (87.9%), the cause of the absolute overdose was a switch from intravenous to oral paracetamol, resulting in an absolute overdose the day of the change. The maximal daily dose of 60 mg/kg was exceeded in 30.1% of patients weighing < 50 kg, as well as in 42.3% of patients weighing < 60 kg. The e-agent detected 73.4% and 75.5% of those cases. Multiple absolute overdoses were found in 204 patients. The e-agent detected 72.7% of those. 90 multiple overdoses occurred during the same hospital stay and 11 on consecutive days. Conclusion Paracetamol overdose is a common medication error in hospitalized patients, which may occur due to process failures such as wrong timing when changing administration route or when factors like comedication and low body weight are ignored. The e-agent detects cases of paracetamol overdose, and therefore, can help prevent this kind of medication error in the clinical setting.
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spelling pubmed-82145922021-07-01 Implementation and outcome of an electronic tool for detection of paracetamol overdose in a tertiary care hospital Cabrera-Diaz, Francisco Zaugg, Claudia Lim, Silke Blum, Kim Salili, Ali Reza Int J Clin Pharm Research Article Background Paracetamol is a widely used analgesic and antipyretic drug in hospitals. The development and implementation of an electronic tool with algorithm-based alerts (e-agent) in a clinical information system could reduce the risk of overdose. Objective In this study, the performance of such an e-agent developed to detect paracetamol overdosing was analyzed. Setting Swiss tertiary care hospital. Method All patients ≥ 18 years old who had documented paracetamol administration in the used clinical information system during 2017 were retrospectively screened for an absolute and relative overdosing of paracetamol (> 4 g and > 60 mg/kg/24 h, respectively). This was compared with the patients for which the e-agent had, during the same period, prospectively made an alert for absolute or relative overdosing or for a dosing interval < 4 h (potentially leading to an absolute overdose). Main outcome measure E-agent performance defined as detection rate. Results of the 13,196 adult patients who received at least one dose of paracetamol, 2292 were exposed at least once to > 4 g/day (17.4%), 39 of these (0.3% of total) were given > 5 g paracetamol. None received more than 6 g. The e-agent detected 87.2% of cases with doses > 5 g. In most cases (87.9%), the cause of the absolute overdose was a switch from intravenous to oral paracetamol, resulting in an absolute overdose the day of the change. The maximal daily dose of 60 mg/kg was exceeded in 30.1% of patients weighing < 50 kg, as well as in 42.3% of patients weighing < 60 kg. The e-agent detected 73.4% and 75.5% of those cases. Multiple absolute overdoses were found in 204 patients. The e-agent detected 72.7% of those. 90 multiple overdoses occurred during the same hospital stay and 11 on consecutive days. Conclusion Paracetamol overdose is a common medication error in hospitalized patients, which may occur due to process failures such as wrong timing when changing administration route or when factors like comedication and low body weight are ignored. The e-agent detects cases of paracetamol overdose, and therefore, can help prevent this kind of medication error in the clinical setting. Springer International Publishing 2020-10-29 2021 /pmc/articles/PMC8214592/ /pubmed/33124678 http://dx.doi.org/10.1007/s11096-020-01182-2 Text en © The Author(s) 2020 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Research Article
Cabrera-Diaz, Francisco
Zaugg, Claudia
Lim, Silke
Blum, Kim
Salili, Ali Reza
Implementation and outcome of an electronic tool for detection of paracetamol overdose in a tertiary care hospital
title Implementation and outcome of an electronic tool for detection of paracetamol overdose in a tertiary care hospital
title_full Implementation and outcome of an electronic tool for detection of paracetamol overdose in a tertiary care hospital
title_fullStr Implementation and outcome of an electronic tool for detection of paracetamol overdose in a tertiary care hospital
title_full_unstemmed Implementation and outcome of an electronic tool for detection of paracetamol overdose in a tertiary care hospital
title_short Implementation and outcome of an electronic tool for detection of paracetamol overdose in a tertiary care hospital
title_sort implementation and outcome of an electronic tool for detection of paracetamol overdose in a tertiary care hospital
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8214592/
https://www.ncbi.nlm.nih.gov/pubmed/33124678
http://dx.doi.org/10.1007/s11096-020-01182-2
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