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Impact of a clinical decision support system on paediatric drug dose prescribing: a randomised within-subject simulation trial
BACKGROUND: Drug dosing errors are among the most frequent causes of preventable harm in paediatrics. Due to the complexity of paediatric pharmacotherapy and the working conditions in healthcare, it is not surprising that human factor is a well-described source of error. Thus, a clinical decision su...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9884891/ https://www.ncbi.nlm.nih.gov/pubmed/36697035 http://dx.doi.org/10.1136/bmjpo-2022-001726 |
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author | Higi, Lukas Schmitt, Raffael Käser, Karin Wälti, Monika Grotzer, Michael Vonbach, Priska |
author_facet | Higi, Lukas Schmitt, Raffael Käser, Karin Wälti, Monika Grotzer, Michael Vonbach, Priska |
author_sort | Higi, Lukas |
collection | PubMed |
description | BACKGROUND: Drug dosing errors are among the most frequent causes of preventable harm in paediatrics. Due to the complexity of paediatric pharmacotherapy and the working conditions in healthcare, it is not surprising that human factor is a well-described source of error. Thus, a clinical decision support system (CDSS) that supports healthcare professionals (HCP) during the dose prescribing step provides a promising strategy for error prevention. METHODS: The aim of the trial was to simulate the dose derivation step during the prescribing process. HCPs were asked to derive dosages for 18 hypothetical patient cases. We compared the CDSS PEDeDose, which provides a built-in dose calculator to the Summary of Product Characteristics (SmPC) used together with a pocket calculator in a randomised within-subject trial. We assessed the number of dose calculation errors and the time needed for calculation. Additionally, the effect of PEDeDose without using the built-in calculator but with a pocket calculator instead was assessed. RESULTS: A total of 52 HCPs participated in the trial. The OR for an erroneous dosage using the CDSS as compared with the SmPC with pocket calculator was 0.08 (95% CI 0.02 to 0.36, p<0.001). Thus, the odds of an error were 12 times higher while using the SmPC. Furthermore, there was a 45% (95% CI 39% to 51%, p<0.001) time reduction when the dosage was derived using the CDSS. The exploratory analysis revealed that using only PEDeDose but without the built-in calculator did not substantially reduce errors. CONCLUSION: Our results provide robust evidence that the use of the CDSS is safer and more efficient than manual dose derivation in paediatrics. Interestingly, only consulting a dosing database was not sufficient to substantially reduce errors. We are confident the CDSS PEDeDose ensures a higher safety and speeds up the prescribing process in practice. |
format | Online Article Text |
id | pubmed-9884891 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-98848912023-01-31 Impact of a clinical decision support system on paediatric drug dose prescribing: a randomised within-subject simulation trial Higi, Lukas Schmitt, Raffael Käser, Karin Wälti, Monika Grotzer, Michael Vonbach, Priska BMJ Paediatr Open Pharmacology BACKGROUND: Drug dosing errors are among the most frequent causes of preventable harm in paediatrics. Due to the complexity of paediatric pharmacotherapy and the working conditions in healthcare, it is not surprising that human factor is a well-described source of error. Thus, a clinical decision support system (CDSS) that supports healthcare professionals (HCP) during the dose prescribing step provides a promising strategy for error prevention. METHODS: The aim of the trial was to simulate the dose derivation step during the prescribing process. HCPs were asked to derive dosages for 18 hypothetical patient cases. We compared the CDSS PEDeDose, which provides a built-in dose calculator to the Summary of Product Characteristics (SmPC) used together with a pocket calculator in a randomised within-subject trial. We assessed the number of dose calculation errors and the time needed for calculation. Additionally, the effect of PEDeDose without using the built-in calculator but with a pocket calculator instead was assessed. RESULTS: A total of 52 HCPs participated in the trial. The OR for an erroneous dosage using the CDSS as compared with the SmPC with pocket calculator was 0.08 (95% CI 0.02 to 0.36, p<0.001). Thus, the odds of an error were 12 times higher while using the SmPC. Furthermore, there was a 45% (95% CI 39% to 51%, p<0.001) time reduction when the dosage was derived using the CDSS. The exploratory analysis revealed that using only PEDeDose but without the built-in calculator did not substantially reduce errors. CONCLUSION: Our results provide robust evidence that the use of the CDSS is safer and more efficient than manual dose derivation in paediatrics. Interestingly, only consulting a dosing database was not sufficient to substantially reduce errors. We are confident the CDSS PEDeDose ensures a higher safety and speeds up the prescribing process in practice. BMJ Publishing Group 2023-01-25 /pmc/articles/PMC9884891/ /pubmed/36697035 http://dx.doi.org/10.1136/bmjpo-2022-001726 Text en © Author(s) (or their employer(s)) 2023. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) . |
spellingShingle | Pharmacology Higi, Lukas Schmitt, Raffael Käser, Karin Wälti, Monika Grotzer, Michael Vonbach, Priska Impact of a clinical decision support system on paediatric drug dose prescribing: a randomised within-subject simulation trial |
title | Impact of a clinical decision support system on paediatric drug dose prescribing: a randomised within-subject simulation trial |
title_full | Impact of a clinical decision support system on paediatric drug dose prescribing: a randomised within-subject simulation trial |
title_fullStr | Impact of a clinical decision support system on paediatric drug dose prescribing: a randomised within-subject simulation trial |
title_full_unstemmed | Impact of a clinical decision support system on paediatric drug dose prescribing: a randomised within-subject simulation trial |
title_short | Impact of a clinical decision support system on paediatric drug dose prescribing: a randomised within-subject simulation trial |
title_sort | impact of a clinical decision support system on paediatric drug dose prescribing: a randomised within-subject simulation trial |
topic | Pharmacology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9884891/ https://www.ncbi.nlm.nih.gov/pubmed/36697035 http://dx.doi.org/10.1136/bmjpo-2022-001726 |
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