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Prevalence and ethnic/racial disparities in the distribution of pediatric injuries in South Florida: implications for the development of community prevention programs

Overview of attention for article published in Injury Epidemiology, April 2017
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Title
Prevalence and ethnic/racial disparities in the distribution of pediatric injuries in South Florida: implications for the development of community prevention programs
Published in
Injury Epidemiology, April 2017
DOI 10.1186/s40621-017-0108-9
Pubmed ID
Authors

Carmen Ramos Irizarry, Patrick C. Hardigan, Mark G. Mc Kenney, Gretchen Holmes, Rudy Flores, Brenda Benson, Ascension M. Torres

Abstract

The state of Florida continues to report significant gender, ethnic and racial disparities in trauma incidence, access to care and outcomes in the adult population. Our objective was to assess pediatric injury profiles and ethnic/racial disparities of specific injuries in a Regional Trauma Center (TC) in South Florida. Retrospective data from November 2011 to December 2015 were obtained from the Level 2 TC registry for children ≤21 years old. Demographic, injury pattern, geographic area, injury scores and treatment data were analyzed. One thousand six hundred ten patients, ages 0-21 years were cared for at the TC from 2011 to 2015.73% were males. Mean age = 15.7 years. Mortality was 2.3%. Using zip code data and using geographic mapping, we identified two main clusters where injuries were occurring. A multinomial regression analysis demonstrated that Hispanics had higher risks of falls (RR 10.4, 95% CI 2.7-29), motorcycle accidents (RR 3.7, 95% CI 1.7-8.2) and motor vehicle accidents (RR 6.4, 95% CI 3.6-11.4). Black/African American children had higher risks of gunshot wounds and resultant mortality (p < 0.01). There were racial, ethnic and gender disparities in the patterns of injury and outcomes among the youth attended at our TC. Geographic mapping allowed us the identification of the zones in South Florida where injuries were occurring. Understanding the differences and using geographic mapping to identify regions of higher prevalence will complement planning for prevention programs.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 24 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 4 17%
Student > Master 4 17%
Student > Bachelor 3 13%
Student > Postgraduate 3 13%
Student > Ph. D. Student 2 8%
Other 3 13%
Unknown 5 21%
Readers by discipline Count As %
Medicine and Dentistry 10 42%
Social Sciences 4 17%
Nursing and Health Professions 2 8%
Veterinary Science and Veterinary Medicine 1 4%
Unknown 7 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 18 April 2017.
All research outputs
#15,454,502
of 22,965,074 outputs
Outputs from Injury Epidemiology
#259
of 326 outputs
Outputs of similar age
#194,110
of 310,087 outputs
Outputs of similar age from Injury Epidemiology
#7
of 7 outputs
Altmetric has tracked 22,965,074 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 326 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 42.9. This one is in the 11th percentile – i.e., 11% of its peers scored the same or lower than it.
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