Author/Authors :
Miller, Anastasia Department of Health Care Administration - Texas Woman's University, USA , Gallegly, Jeanie D University of Texas Health Science Center at Tyler - Tyler - Texas, USA , Orsak, Gabriela Department of Epidemiology and Biostatistics - University of Texas Health Science Center at Tyler - Tyler - Texas, USA , Huff, Sharon D University of Texas Health Science Center at Tyler - Tyler - Texas, USA , Peters, Jo Ann Department of Surgery - UT Health East Texas-Tyler - Tyler - Texas, USA , Murry, Jason Department of Surgery - UT Health East Texas-Tyler - Tyler - Texas, USA , Ndetan, Harrison Department of Epidemiology and Biostatistics - University of Texas Health Science Center at Tyler - Tyler - Texas, USA , Singh, Karan P Department of Epidemiology and Biostatistics - University of Texas Health Science Center at Tyler - Tyler - Texas, USA
Abstract :
Background: All-Terrain Vehicles (ATVs) have become popular for recreation use in recent years.
Texas has had more ATV related fatalities than any other state in the nation, with rural Northeast
Texas having even higher rates of injuries. There is limited data examining the relationship
between ATV injuries and the length of hospital stay, as well as hospital costs. This paper
examines both issues in children as well as adults.
Methods: The regional trauma registry was analyzed for all ATV related injuries between
January 2011- October 2016. Injury Severity Score, Glasgow Coma Scale and if they are seen
at a Level I Trauma center are predictive for both hospital length of stay and charges.
Results: Length of Stay was predicted positively by Injury Severity Score, Emergency Department
Respiration Rate and facility at which patients were treated and negatively by Glasgow Coma
Scale. Hospital charges were predicted positively by age, Injury Severity Score, facility of
treatment, means of transportation, and Emergency Department pulse and negatively by
Glasgow Coma Scale.
Conclusions: The study found that vital signs can be useful in predicting length of stay and
hospital charges. This study not only confirms the findings of other studies regarding what
predictors can be used, but expands the research into rural traumatic injuries. It is hoped that this
data can help contribute to the development of algorithms to predict which patients will be most
likely to require resource intensive treatment.
Keywords :
All-terrain vehicles , Length of stay , Traumatic injury , Hospital charges , Rural health