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Emergency Department Crowding Disparity: a Nationwide Cross-Sectional Study
In this study, we evaluated national differences in emergency department (ED) crowding to identify factors significantly associated with crowding in institutes and communities across Korea. This was a cross-sectional nationwide observational study using data abstracted from the National Emergency De...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Korean Academy of Medical Sciences
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4951566/ https://www.ncbi.nlm.nih.gov/pubmed/27478347 http://dx.doi.org/10.3346/jkms.2016.31.8.1331 |
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author | Cha, Won Chul Ahn, Ki Ok Shin, Sang Do Park, Jeong Ho Cho, Jin Sung |
author_facet | Cha, Won Chul Ahn, Ki Ok Shin, Sang Do Park, Jeong Ho Cho, Jin Sung |
author_sort | Cha, Won Chul |
collection | PubMed |
description | In this study, we evaluated national differences in emergency department (ED) crowding to identify factors significantly associated with crowding in institutes and communities across Korea. This was a cross-sectional nationwide observational study using data abstracted from the National Emergency Department Information System (NEDIS). We calculated mean occupancy rates to quantify ED crowding status and divided EDs into three groups according to their occupancy rates (cutoffs: 0.5 and 1.0). Factors potentially related to ED crowding were collected from the NEDIS. We performed a multivariate regression analysis to identify variables significantly associated with ED crowding. A total of 120 EDs were included in the final analysis. Of these, 73 were categorized as 'low crowded' (LC, occupancy rate < 0.50), 37 as 'middle crowded' (MC, 0.50 ≤ occupancy rate < 1.00), 10 EDs as 'high crowded' (HC, 1.00 ≤ occupancy rate). The mean ED occupancy rate varied widely, from 0.06 to 2.33. The median value was 0.39 with interquartile ranges (IQRs) from 0.20 to 0.71. Multivariate analysis revealed that after adjustment, ED crowding was significantly associated with the number of visits, percentage of patients referred, number of nurses, and ED disposition. This nationwide study observed significant variety in ED crowding. Several input, throughput, and output factors were associated with crowding. |
format | Online Article Text |
id | pubmed-4951566 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | The Korean Academy of Medical Sciences |
record_format | MEDLINE/PubMed |
spelling | pubmed-49515662016-08-01 Emergency Department Crowding Disparity: a Nationwide Cross-Sectional Study Cha, Won Chul Ahn, Ki Ok Shin, Sang Do Park, Jeong Ho Cho, Jin Sung J Korean Med Sci Original Article In this study, we evaluated national differences in emergency department (ED) crowding to identify factors significantly associated with crowding in institutes and communities across Korea. This was a cross-sectional nationwide observational study using data abstracted from the National Emergency Department Information System (NEDIS). We calculated mean occupancy rates to quantify ED crowding status and divided EDs into three groups according to their occupancy rates (cutoffs: 0.5 and 1.0). Factors potentially related to ED crowding were collected from the NEDIS. We performed a multivariate regression analysis to identify variables significantly associated with ED crowding. A total of 120 EDs were included in the final analysis. Of these, 73 were categorized as 'low crowded' (LC, occupancy rate < 0.50), 37 as 'middle crowded' (MC, 0.50 ≤ occupancy rate < 1.00), 10 EDs as 'high crowded' (HC, 1.00 ≤ occupancy rate). The mean ED occupancy rate varied widely, from 0.06 to 2.33. The median value was 0.39 with interquartile ranges (IQRs) from 0.20 to 0.71. Multivariate analysis revealed that after adjustment, ED crowding was significantly associated with the number of visits, percentage of patients referred, number of nurses, and ED disposition. This nationwide study observed significant variety in ED crowding. Several input, throughput, and output factors were associated with crowding. The Korean Academy of Medical Sciences 2016-08 2016-05-18 /pmc/articles/PMC4951566/ /pubmed/27478347 http://dx.doi.org/10.3346/jkms.2016.31.8.1331 Text en © 2016 The Korean Academy of Medical Sciences. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Article Cha, Won Chul Ahn, Ki Ok Shin, Sang Do Park, Jeong Ho Cho, Jin Sung Emergency Department Crowding Disparity: a Nationwide Cross-Sectional Study |
title | Emergency Department Crowding Disparity: a Nationwide Cross-Sectional Study |
title_full | Emergency Department Crowding Disparity: a Nationwide Cross-Sectional Study |
title_fullStr | Emergency Department Crowding Disparity: a Nationwide Cross-Sectional Study |
title_full_unstemmed | Emergency Department Crowding Disparity: a Nationwide Cross-Sectional Study |
title_short | Emergency Department Crowding Disparity: a Nationwide Cross-Sectional Study |
title_sort | emergency department crowding disparity: a nationwide cross-sectional study |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4951566/ https://www.ncbi.nlm.nih.gov/pubmed/27478347 http://dx.doi.org/10.3346/jkms.2016.31.8.1331 |
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