Demographics and Incident Location of Traumatic Injuries at a Single Level I Trauma Center
Traumatic Injury Mapping
DOI:
https://doi.org/10.17161/kjm.vol1413771Keywords:
Traumatic injury; Trauma incidence; Geographic Information System; Injury mappingAbstract
Introduction: Traumatic injuries are preventable and understanding determinants of injury, such as socio-economic and environmental factors, is vital. This study evaluated traumatic injuries and identified areas of high trauma incidence.
Methods: A retrospective review was conducted of all patients 14 years or older who were admitted with a traumatic injury to a Level I trauma center between 2016 and 2017. Descriptive analyses were presented and maps of high injury areas were generated.
Results: The most frequent mechanisms of injury were falls (58.3%), motor vehicle crashes (22.3%), and motorcycle crashes (5.7%). Fall patients were more likely to be female (59.6%) and were the oldest age group (72.1 ± 17.2) compared to motor vehicle and motorcycle crash patients. Severe head (22.1%, P = 0.007) and extremity (35.7%, P = 0.001) injuries were most frequent among fall patients, however more motorcycle crash patients required mechanical ventilation (16.1%, P < 0.001) and experienced the longest intensive care unit length of stay (5.3 ± 6.8, P < 0.001) and mechanical ventilation days (6.6 ± 8.5, P < 0.036). Motorcycle crash patients also had the most number of deaths (7.5%, P < 0.001). The generated maps of all traumatic suggest that most injuries occur near our hospital and are located in several of the most population-dense zip codes.
Conclusions: Falls, motor vehicle crashes, and motorcycle crashes were the most common mechanisms of injury. The use of Geographic Information System aided in the identification of high injury incidence location.
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Copyright (c) 2021 David Watson, MS-4, Blair Benton, MS-4, Elizabeth Ablah, Ph.D., MPH, Kelly Lightwine, MPH, Ronda Lusk, RN, Hayrettin Okut, Ph.D., Thuy Bui, MPH, James M. Haan, M.D.
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
All articles in the Kansas Journal of Medicine are licensed under the terms of the Creative Commons Attribution Non-Commercial No Derivatives License (CC-BY-NC-ND 4.0).