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The effect of a decision support system on the incidence of prescription errors in a PICU

WHAT IS KNOWN AND OBJECTIVE: Paediatric intensive care patients are at high risk for prescription errors due to the more complex process of medication prescribing. Clinical decision support systems (CDSS) have shown good results in effectively reducing prescription errors. A specific dosing CDSS was...

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Autores principales: Hashemi, Fatema, van Gelder, Thomas G., Bollen, Casper W., Liem, Yves T.B., Egberts, Toine C.G.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9298080/
https://www.ncbi.nlm.nih.gov/pubmed/34734650
http://dx.doi.org/10.1111/jcpt.13562
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author Hashemi, Fatema
van Gelder, Thomas G.
Bollen, Casper W.
Liem, Yves T.B.
Egberts, Toine C.G.
author_facet Hashemi, Fatema
van Gelder, Thomas G.
Bollen, Casper W.
Liem, Yves T.B.
Egberts, Toine C.G.
author_sort Hashemi, Fatema
collection PubMed
description WHAT IS KNOWN AND OBJECTIVE: Paediatric intensive care patients are at high risk for prescription errors due to the more complex process of medication prescribing. Clinical decision support systems (CDSS) have shown good results in effectively reducing prescription errors. A specific dosing CDSS was developed that can check and suggest normal dose, dose limits and administration frequencies. This study aimed to assess the effect of this CDSS on protocol deviation (as measure of prescription error) types and frequency in a paediatric intensive care unit (PICU). METHODS: A retrospective observational study was conducted evaluating 9342 prescriptions in a 4‐month period before and after the implementation of a CDSS in the PICU of the University Medical Center Utrecht. Medication forms were reviewed to identify protocol deviations (and therefore possible prescription errors). The incidence and nature of deviations from evidence‐based protocols that were unintended and needed to be adjusted, were determined. RESULTS AND DISCUSSION: In the period before the dosing CDSS, we identified 45 protocol deviations in 5034 prescriptions (0.89%), 28 of which could not be justified (0.56%) and 11 needed to be adjusted (0.22%). In the period after the implementation of the CDSS, there were 21 protocol deviations in 4308 prescriptions (0.49%) of which ten without a valid reason (0.23%) of which two were adjusted (0.05%). WHAT IS NEW AND CONCLUSION: The specific dosing CDSS was able to significantly reduce unintentional prescription dose deviations and the number of prescriptions that needed to be adjusted, in an existing low incidence situation.
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spelling pubmed-92980802022-07-21 The effect of a decision support system on the incidence of prescription errors in a PICU Hashemi, Fatema van Gelder, Thomas G. Bollen, Casper W. Liem, Yves T.B. Egberts, Toine C.G. J Clin Pharm Ther Original Articles WHAT IS KNOWN AND OBJECTIVE: Paediatric intensive care patients are at high risk for prescription errors due to the more complex process of medication prescribing. Clinical decision support systems (CDSS) have shown good results in effectively reducing prescription errors. A specific dosing CDSS was developed that can check and suggest normal dose, dose limits and administration frequencies. This study aimed to assess the effect of this CDSS on protocol deviation (as measure of prescription error) types and frequency in a paediatric intensive care unit (PICU). METHODS: A retrospective observational study was conducted evaluating 9342 prescriptions in a 4‐month period before and after the implementation of a CDSS in the PICU of the University Medical Center Utrecht. Medication forms were reviewed to identify protocol deviations (and therefore possible prescription errors). The incidence and nature of deviations from evidence‐based protocols that were unintended and needed to be adjusted, were determined. RESULTS AND DISCUSSION: In the period before the dosing CDSS, we identified 45 protocol deviations in 5034 prescriptions (0.89%), 28 of which could not be justified (0.56%) and 11 needed to be adjusted (0.22%). In the period after the implementation of the CDSS, there were 21 protocol deviations in 4308 prescriptions (0.49%) of which ten without a valid reason (0.23%) of which two were adjusted (0.05%). WHAT IS NEW AND CONCLUSION: The specific dosing CDSS was able to significantly reduce unintentional prescription dose deviations and the number of prescriptions that needed to be adjusted, in an existing low incidence situation. John Wiley and Sons Inc. 2021-11-04 2022-03 /pmc/articles/PMC9298080/ /pubmed/34734650 http://dx.doi.org/10.1111/jcpt.13562 Text en © 2021 The Authors. Journal of Clinical Pharmacy and Therapeutics published by John Wiley & Sons Ltd. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.
spellingShingle Original Articles
Hashemi, Fatema
van Gelder, Thomas G.
Bollen, Casper W.
Liem, Yves T.B.
Egberts, Toine C.G.
The effect of a decision support system on the incidence of prescription errors in a PICU
title The effect of a decision support system on the incidence of prescription errors in a PICU
title_full The effect of a decision support system on the incidence of prescription errors in a PICU
title_fullStr The effect of a decision support system on the incidence of prescription errors in a PICU
title_full_unstemmed The effect of a decision support system on the incidence of prescription errors in a PICU
title_short The effect of a decision support system on the incidence of prescription errors in a PICU
title_sort effect of a decision support system on the incidence of prescription errors in a picu
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9298080/
https://www.ncbi.nlm.nih.gov/pubmed/34734650
http://dx.doi.org/10.1111/jcpt.13562
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