ArticleInjury epidemiology2015
Utility of a near real-time emergency department syndromic surveillance system to track injuries in New York City.
Article in Injury epidemiology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
6 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Emergency department syndromic surveillance systems: a systematic review.BMC public health · 2020Pooled it
- Comparison of syndromic surveillance and hospital discharge data for unintentional drowning in metropolitan Houston, Texas, USA.Injury prevention : journal of the International Society for Child and Adolescent Injury Prevention · 2025Article
- Using the Centers for Disease Control and Prevention's National Syndromic Surveillance Program Data to Monitor Trends in US Emergency Department Visits for Firearm Injuries, 2018 to 2019.Annals of emergency medicine · 2022Article
- Differences and similarities between emergency department syndromic surveillance and hospital discharge data for nonfatal drug overdose.Annals of epidemiology · 2021Article
- Syndromic Surveillance Data for Accidental Fall Injury.Online journal of public health informatics · 2021Article
- Advancing the Use of Emergency Department Syndromic Surveillance Data, New York City, 2012-2016.Public health reports (Washington, D.C. : 1974)Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
backgroundThe 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.
methodsSix 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.
resultsAlthough 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.
conclusionsAs 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.
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