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Utility of a near real-time emergency department syndromic surveillance system to track injuries in New York City
BACKGROUND: The New York City emergency department (ED) syndromic surveillance (SS) system provides near real-time data on the majority of ED visits. The utility of ED SS for injury surveillance has not been thoroughly evaluated. We created injury syndromes based on ED chief complaint information an...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5005715/ https://www.ncbi.nlm.nih.gov/pubmed/27747743 http://dx.doi.org/10.1186/s40621-015-0044-5 |
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author | Seil, Kacie Marcum, Jennifer Lall, Ramona Stayton, Catherine |
author_facet | Seil, Kacie Marcum, Jennifer Lall, Ramona Stayton, Catherine |
author_sort | Seil, Kacie |
collection | PubMed |
description | BACKGROUND: The New York City emergency department (ED) syndromic surveillance (SS) system provides near real-time data on the majority of ED visits. The utility of ED SS for injury surveillance has not been thoroughly evaluated. We created injury syndromes based on ED chief complaint information and evaluated their utility compared to administrative billing data. METHODS: Six injury syndromes were developed: traffic-related injuries to pedal cyclists, pedestrians, and motor vehicle occupants; fall-related injuries; firearm-related injuries; and assault-related stabbings. Daily injury counts were compared for ED SS and the administrative billing data for years 2008–2010. We examined characteristics of injury trends and patterns between the two systems, calculating descriptive statistics for temporal patterns and Pearson correlation coefficients (r) for temporal trends. We also calculated proportions of demographic and geospatial patterns for both systems. RESULTS: Although daily volume of the injuries varied between the two systems, the temporal patterns were similar (all r values for daily volume exceeded 0.65). Comparisons of injuries by time of day, day of week, and quarter of year demonstrated high agreement between the two systems—the majority had an absolute percentage point difference of 2.0 or less. Distributions of injury by sex and age group also aligned well. Distribution of injury by neighborhood of residence showed mixed results—some neighborhood comparisons showed a high level of agreement between systems, while others were less successful. CONCLUSIONS: As evidenced by the strong positive correlation coefficients and the small absolute percentage point differences in our comparisons, we conclude that ED SS captures temporal trends and patterns of injury-related ED visits effectively. The system could be used to identify changes in injury patterns, allowing for situational awareness during emergencies, timely response, and public messaging. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s40621-015-0044-5) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-5005715 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-50057152016-08-31 Utility of a near real-time emergency department syndromic surveillance system to track injuries in New York City Seil, Kacie Marcum, Jennifer Lall, Ramona Stayton, Catherine Inj Epidemiol Original Contribution BACKGROUND: The New York City emergency department (ED) syndromic surveillance (SS) system provides near real-time data on the majority of ED visits. The utility of ED SS for injury surveillance has not been thoroughly evaluated. We created injury syndromes based on ED chief complaint information and evaluated their utility compared to administrative billing data. METHODS: Six injury syndromes were developed: traffic-related injuries to pedal cyclists, pedestrians, and motor vehicle occupants; fall-related injuries; firearm-related injuries; and assault-related stabbings. Daily injury counts were compared for ED SS and the administrative billing data for years 2008–2010. We examined characteristics of injury trends and patterns between the two systems, calculating descriptive statistics for temporal patterns and Pearson correlation coefficients (r) for temporal trends. We also calculated proportions of demographic and geospatial patterns for both systems. RESULTS: Although daily volume of the injuries varied between the two systems, the temporal patterns were similar (all r values for daily volume exceeded 0.65). Comparisons of injuries by time of day, day of week, and quarter of year demonstrated high agreement between the two systems—the majority had an absolute percentage point difference of 2.0 or less. Distributions of injury by sex and age group also aligned well. Distribution of injury by neighborhood of residence showed mixed results—some neighborhood comparisons showed a high level of agreement between systems, while others were less successful. CONCLUSIONS: As evidenced by the strong positive correlation coefficients and the small absolute percentage point differences in our comparisons, we conclude that ED SS captures temporal trends and patterns of injury-related ED visits effectively. The system could be used to identify changes in injury patterns, allowing for situational awareness during emergencies, timely response, and public messaging. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s40621-015-0044-5) contains supplementary material, which is available to authorized users. Springer International Publishing 2015-06-01 /pmc/articles/PMC5005715/ /pubmed/27747743 http://dx.doi.org/10.1186/s40621-015-0044-5 Text en © Seil et al.; licensee Springer. 2015 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. |
spellingShingle | Original Contribution Seil, Kacie Marcum, Jennifer Lall, Ramona Stayton, Catherine Utility of a near real-time emergency department syndromic surveillance system to track injuries in New York City |
title | Utility of a near real-time emergency department syndromic surveillance system to track injuries in New York City |
title_full | Utility of a near real-time emergency department syndromic surveillance system to track injuries in New York City |
title_fullStr | Utility of a near real-time emergency department syndromic surveillance system to track injuries in New York City |
title_full_unstemmed | Utility of a near real-time emergency department syndromic surveillance system to track injuries in New York City |
title_short | Utility of a near real-time emergency department syndromic surveillance system to track injuries in New York City |
title_sort | utility of a near real-time emergency department syndromic surveillance system to track injuries in new york city |
topic | Original Contribution |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5005715/ https://www.ncbi.nlm.nih.gov/pubmed/27747743 http://dx.doi.org/10.1186/s40621-015-0044-5 |
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