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Adverse events recording in electronic health record systems in primary care

BACKGROUND: Adequate record keeping of medication adverse events in electronic health records systems is important for patient safety. Events that remain unrecorded cannot be communicated from one health professional to another. In the absence of a gold standard, we investigate the variation between...

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Autores principales: de Hoon, Sabine E. M., Hek, Karin, van Dijk, Liset, Verheij, Robert A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5719640/
https://www.ncbi.nlm.nih.gov/pubmed/29212497
http://dx.doi.org/10.1186/s12911-017-0565-7
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author de Hoon, Sabine E. M.
Hek, Karin
van Dijk, Liset
Verheij, Robert A.
author_facet de Hoon, Sabine E. M.
Hek, Karin
van Dijk, Liset
Verheij, Robert A.
author_sort de Hoon, Sabine E. M.
collection PubMed
description BACKGROUND: Adequate record keeping of medication adverse events in electronic health records systems is important for patient safety. Events that remain unrecorded cannot be communicated from one health professional to another. In the absence of a gold standard, we investigate the variation between Dutch general practices in the extent to which they record medication adverse events. METHODS: Data were derived from electronic health records (EHR) of Dutch general practices participating in NIVEL Primary Care Database (NIVEL-PCD) in 2014, including 308 general practices with a total practice population of 1,256,049 listed patients. Medication adverse events were defined as recorded ICPC-code A85 (adverse effect medical agent). Between practice variation was studied using multilevel logistic regression analysis corrected for age, gender, number of different medicines prescriptions and number of chronic diseases. RESULTS: In 2014 there were 8330 patients with at least one medication adverse event recorded. This corresponds to 6.9 medication adverse events per 1000 patients and is higher for women, elderly, patients with polypharmacy and for patients with comorbidity. Corrected for these patient characteristics the median odds ratio (MOR = 1.92) suggests an almost twofold difference between general practices in recorded medication adverse events. CONCLUSION: Our results suggest that improvement in terms of uniformity in recording medication adverse events is possible, preventing potential damage for patients. We suggest that creating a learning health system by individual practice feedback on the number of recordings of adverse events would help practitioners to improve their recording habits.
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spelling pubmed-57196402017-12-08 Adverse events recording in electronic health record systems in primary care de Hoon, Sabine E. M. Hek, Karin van Dijk, Liset Verheij, Robert A. BMC Med Inform Decis Mak Research Article BACKGROUND: Adequate record keeping of medication adverse events in electronic health records systems is important for patient safety. Events that remain unrecorded cannot be communicated from one health professional to another. In the absence of a gold standard, we investigate the variation between Dutch general practices in the extent to which they record medication adverse events. METHODS: Data were derived from electronic health records (EHR) of Dutch general practices participating in NIVEL Primary Care Database (NIVEL-PCD) in 2014, including 308 general practices with a total practice population of 1,256,049 listed patients. Medication adverse events were defined as recorded ICPC-code A85 (adverse effect medical agent). Between practice variation was studied using multilevel logistic regression analysis corrected for age, gender, number of different medicines prescriptions and number of chronic diseases. RESULTS: In 2014 there were 8330 patients with at least one medication adverse event recorded. This corresponds to 6.9 medication adverse events per 1000 patients and is higher for women, elderly, patients with polypharmacy and for patients with comorbidity. Corrected for these patient characteristics the median odds ratio (MOR = 1.92) suggests an almost twofold difference between general practices in recorded medication adverse events. CONCLUSION: Our results suggest that improvement in terms of uniformity in recording medication adverse events is possible, preventing potential damage for patients. We suggest that creating a learning health system by individual practice feedback on the number of recordings of adverse events would help practitioners to improve their recording habits. BioMed Central 2017-12-06 /pmc/articles/PMC5719640/ /pubmed/29212497 http://dx.doi.org/10.1186/s12911-017-0565-7 Text en © The Author(s). 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
de Hoon, Sabine E. M.
Hek, Karin
van Dijk, Liset
Verheij, Robert A.
Adverse events recording in electronic health record systems in primary care
title Adverse events recording in electronic health record systems in primary care
title_full Adverse events recording in electronic health record systems in primary care
title_fullStr Adverse events recording in electronic health record systems in primary care
title_full_unstemmed Adverse events recording in electronic health record systems in primary care
title_short Adverse events recording in electronic health record systems in primary care
title_sort adverse events recording in electronic health record systems in primary care
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5719640/
https://www.ncbi.nlm.nih.gov/pubmed/29212497
http://dx.doi.org/10.1186/s12911-017-0565-7
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