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NYU-EDA in modelling the effect of COVID-19 on patient volumes in a Finnish emergency department
BACKGROUND: Emergency departments (EDs) worldwide have been in the epicentre of the novel coronavirus disease (COVID-19). However, the impact of the pandemic and national emergency measures on the number of non-COVID-19 presentations and the assessed acuity of those presentations remain uncertain. M...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7729695/ https://www.ncbi.nlm.nih.gov/pubmed/33308165 http://dx.doi.org/10.1186/s12873-020-00392-1 |
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author | Tuominen, Jalmari Hällberg, Ville Oksala, Niku Palomäki, Ari Lukkarinen, Timo Roine, Antti |
author_facet | Tuominen, Jalmari Hällberg, Ville Oksala, Niku Palomäki, Ari Lukkarinen, Timo Roine, Antti |
author_sort | Tuominen, Jalmari |
collection | PubMed |
description | BACKGROUND: Emergency departments (EDs) worldwide have been in the epicentre of the novel coronavirus disease (COVID-19). However, the impact of the pandemic and national emergency measures on the number of non-COVID-19 presentations and the assessed acuity of those presentations remain uncertain. METHODS: We acquired a retrospective cohort containing all ED visits in a Finnish secondary care hospital during years 2018, 2019 and 2020. We compared the number of presentations in 2020 during the national state of emergency, i.e. from March 16 to June 11, with numbers from 2018 and 2019. Presentations were stratified using localized New York University Emergency Department Algorithm (NYU-EDA) to evaluate changes in presentations with different acuity levels. RESULTS: A total of 27,526 presentations were observed. Compared to previous two years, total daily presentations were reduced by 23% (from 113 to 87, p < .001). In NYU-EDA classes, Non-Emergent visits were reduced the most by 42% (from 18 to 10, p < .001). Emergent presentations were reduced by 19 to 28% depending on the subgroup (p < .001). Number of injuries were reduced by 25% (from 27 to 20, p < .001). The NYU-EDA distribution changed statistically significantly with 4% point reduction in Non-Emergent visits (from 16 to 12%, p < .001) and 0.9% point increase in Alcohol-related visits (from 1.6 to 2.5%, p < .001). CONCLUSIONS: We observed a significant reduction in total ED visits in the course of national state of emergency. Presentations were reduced in most of the NYU-EDA groups irrespective of the assessed acuity. A compensatory increase in presentations was not observed in the course of the 3 month lockdown. This implies either reduction in overall morbidity caused by decreased societal activity or widespread unwillingness to seek required medical advice. |
format | Online Article Text |
id | pubmed-7729695 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-77296952020-12-11 NYU-EDA in modelling the effect of COVID-19 on patient volumes in a Finnish emergency department Tuominen, Jalmari Hällberg, Ville Oksala, Niku Palomäki, Ari Lukkarinen, Timo Roine, Antti BMC Emerg Med Research Article BACKGROUND: Emergency departments (EDs) worldwide have been in the epicentre of the novel coronavirus disease (COVID-19). However, the impact of the pandemic and national emergency measures on the number of non-COVID-19 presentations and the assessed acuity of those presentations remain uncertain. METHODS: We acquired a retrospective cohort containing all ED visits in a Finnish secondary care hospital during years 2018, 2019 and 2020. We compared the number of presentations in 2020 during the national state of emergency, i.e. from March 16 to June 11, with numbers from 2018 and 2019. Presentations were stratified using localized New York University Emergency Department Algorithm (NYU-EDA) to evaluate changes in presentations with different acuity levels. RESULTS: A total of 27,526 presentations were observed. Compared to previous two years, total daily presentations were reduced by 23% (from 113 to 87, p < .001). In NYU-EDA classes, Non-Emergent visits were reduced the most by 42% (from 18 to 10, p < .001). Emergent presentations were reduced by 19 to 28% depending on the subgroup (p < .001). Number of injuries were reduced by 25% (from 27 to 20, p < .001). The NYU-EDA distribution changed statistically significantly with 4% point reduction in Non-Emergent visits (from 16 to 12%, p < .001) and 0.9% point increase in Alcohol-related visits (from 1.6 to 2.5%, p < .001). CONCLUSIONS: We observed a significant reduction in total ED visits in the course of national state of emergency. Presentations were reduced in most of the NYU-EDA groups irrespective of the assessed acuity. A compensatory increase in presentations was not observed in the course of the 3 month lockdown. This implies either reduction in overall morbidity caused by decreased societal activity or widespread unwillingness to seek required medical advice. BioMed Central 2020-12-11 /pmc/articles/PMC7729695/ /pubmed/33308165 http://dx.doi.org/10.1186/s12873-020-00392-1 Text en © The Author(s) 2020 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/. 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 in a credit line to the data. |
spellingShingle | Research Article Tuominen, Jalmari Hällberg, Ville Oksala, Niku Palomäki, Ari Lukkarinen, Timo Roine, Antti NYU-EDA in modelling the effect of COVID-19 on patient volumes in a Finnish emergency department |
title | NYU-EDA in modelling the effect of COVID-19 on patient volumes in a Finnish emergency department |
title_full | NYU-EDA in modelling the effect of COVID-19 on patient volumes in a Finnish emergency department |
title_fullStr | NYU-EDA in modelling the effect of COVID-19 on patient volumes in a Finnish emergency department |
title_full_unstemmed | NYU-EDA in modelling the effect of COVID-19 on patient volumes in a Finnish emergency department |
title_short | NYU-EDA in modelling the effect of COVID-19 on patient volumes in a Finnish emergency department |
title_sort | nyu-eda in modelling the effect of covid-19 on patient volumes in a finnish emergency department |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7729695/ https://www.ncbi.nlm.nih.gov/pubmed/33308165 http://dx.doi.org/10.1186/s12873-020-00392-1 |
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