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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
Carmen Ramos-Irizarry, MD, MSc1, Patrick C. Hardigan, PhD2, Mark G. Mc Kenney, MD, MBA1, Gretchen Holmes, PhD3, Rudy Flores, CSTR1, Brenda Benson, RN1, Ascension M. Torres, MD1. 1Department of Surgery and Trauma Services, Kendall Regional Medical Center, Miami, FL, USA, 2Biostatistics Research Division, Health Professions, Nova Southeastern University, Ft Lauderdale, FL, USA, 3Research Division, Kendall Regional Medical Center, Miami, FL, USA.

Background: Assess pediatric injury profiles and ethnic/racial disparities of specific injuries in a Regional Trauma Center (TC).

Methods: Prospectively collected data from 2011-2015 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.

Results: 1610 patients, ages 0-21 years were cared for at the TC from 2011-2015. 73% were males. Mean age 15.75 years. Racial breakdown was 44% White, 34% Asian/Native American and 21% Black/AA. Hispanics were the most common ethnic group, comprising 48%. Mortality=2.3%. Mean initial GCS was 14.2 (SD 2.59), ISS =7 (range 1-75), and TRISS scores were 0.96 (range 0.001-0.999)). The mean ICU stay was 1.62 days. A multinomial regression model was performed to ascertain the effects of age, race and ethnicity on the likelihood on suffering specific injuries. Hispanics had higher relative risks of falls (RR 10.4, 95% CI 2.7-29); higher relative risks for motor vehicle accidents (RR 6.4, 95% CI 3.6-11.4) and higher relative risks for motorcycle accidents (RR 3.7, 95% CI 1.7-8.2). Black/AA children had higher risks of gunshot wounds (p=0.01). No significant differences were observed when adjusting for age and race/ethnicity for stabbing and pedestrian injuries.

Conclusions: Ethnic/racial differences were observed in the pattern of injuries in the pediatric population attended. Understanding differences and using geographic distribution mapping to identify regions of higher prevalence will complement planning for prevention programs.


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