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Assessing time to treatment and patient inflow in a Danish emergency department: a cohort study using data from electronic emergency screen boards
BACKGROUND: The purpose of this study was to assess and describe the patient inflow during a 1-month period in a Danish emergency department and to evaluate if the intended times to treatment (TTT) related to category of triage were met. METHODS: Data from electronic emergency screen boards were ext...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4195896/ https://www.ncbi.nlm.nih.gov/pubmed/25288356 http://dx.doi.org/10.1186/1756-0500-7-690 |
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author | Nielsen, Rasmus F Pérez, Noel Petersen, Poul Biering, Karin |
author_facet | Nielsen, Rasmus F Pérez, Noel Petersen, Poul Biering, Karin |
author_sort | Nielsen, Rasmus F |
collection | PubMed |
description | BACKGROUND: The purpose of this study was to assess and describe the patient inflow during a 1-month period in a Danish emergency department and to evaluate if the intended times to treatment (TTT) related to category of triage were met. METHODS: Data from electronic emergency screen boards were extracted from the 1st to the 30th of April 2013. 2000 patients were enrolled of which 1011 were eligible for inclusion in the study of TTT. Patient inflow was described according to hours of the day and days of the week. Patients were divided into groups of triage and TTT was assessed in the different groups. Adjusted odds ratios of not being seen on time were calculated between triage groups and time of the day/week. RESULTS: The pattern of inflow differed between weekdays and weekends. On weekdays it peaked around midday and on weekends it peaked during the late afternoon/evening. The distributions of the different triage categories between days were similar. Monday had the most patient contacts while Saturday showed the least. Category II (orange) patients were the most prone to exceed the intended TTT. The risk of not being seen on time when compared to daytime, was on evenings OR 2.3 [1.1;4.9] and on nights OR 2.0 [1.2;3.9]. On weekends the odds ratio was OR 1.9 [0.8;4.7] compared to weekdays. CONCLUSION: The results demonstrated varying patterns of patient inflow between weekdays and weekends. There was a significantly increased risk of being attended late when arriving on evenings and nights. Likewise higher acuity was associated with exceeded TTT. |
format | Online Article Text |
id | pubmed-4195896 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-41958962014-10-15 Assessing time to treatment and patient inflow in a Danish emergency department: a cohort study using data from electronic emergency screen boards Nielsen, Rasmus F Pérez, Noel Petersen, Poul Biering, Karin BMC Res Notes Research Article BACKGROUND: The purpose of this study was to assess and describe the patient inflow during a 1-month period in a Danish emergency department and to evaluate if the intended times to treatment (TTT) related to category of triage were met. METHODS: Data from electronic emergency screen boards were extracted from the 1st to the 30th of April 2013. 2000 patients were enrolled of which 1011 were eligible for inclusion in the study of TTT. Patient inflow was described according to hours of the day and days of the week. Patients were divided into groups of triage and TTT was assessed in the different groups. Adjusted odds ratios of not being seen on time were calculated between triage groups and time of the day/week. RESULTS: The pattern of inflow differed between weekdays and weekends. On weekdays it peaked around midday and on weekends it peaked during the late afternoon/evening. The distributions of the different triage categories between days were similar. Monday had the most patient contacts while Saturday showed the least. Category II (orange) patients were the most prone to exceed the intended TTT. The risk of not being seen on time when compared to daytime, was on evenings OR 2.3 [1.1;4.9] and on nights OR 2.0 [1.2;3.9]. On weekends the odds ratio was OR 1.9 [0.8;4.7] compared to weekdays. CONCLUSION: The results demonstrated varying patterns of patient inflow between weekdays and weekends. There was a significantly increased risk of being attended late when arriving on evenings and nights. Likewise higher acuity was associated with exceeded TTT. BioMed Central 2014-10-06 /pmc/articles/PMC4195896/ /pubmed/25288356 http://dx.doi.org/10.1186/1756-0500-7-690 Text en © Nielsen et al.; licensee BioMed Central Ltd. 2014 This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. 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 Nielsen, Rasmus F Pérez, Noel Petersen, Poul Biering, Karin Assessing time to treatment and patient inflow in a Danish emergency department: a cohort study using data from electronic emergency screen boards |
title | Assessing time to treatment and patient inflow in a Danish emergency department: a cohort study using data from electronic emergency screen boards |
title_full | Assessing time to treatment and patient inflow in a Danish emergency department: a cohort study using data from electronic emergency screen boards |
title_fullStr | Assessing time to treatment and patient inflow in a Danish emergency department: a cohort study using data from electronic emergency screen boards |
title_full_unstemmed | Assessing time to treatment and patient inflow in a Danish emergency department: a cohort study using data from electronic emergency screen boards |
title_short | Assessing time to treatment and patient inflow in a Danish emergency department: a cohort study using data from electronic emergency screen boards |
title_sort | assessing time to treatment and patient inflow in a danish emergency department: a cohort study using data from electronic emergency screen boards |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4195896/ https://www.ncbi.nlm.nih.gov/pubmed/25288356 http://dx.doi.org/10.1186/1756-0500-7-690 |
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