@article{ref1,
title="Advanced automatic crash notification algorithm for children",
journal="Academic pediatrics",
year="2022",
author="Weaver, Ashley A. and Talton, Jennifer W. and Barnard, Ryan T. and Gaffley, Michaela and Doud, Andrea N. and Schoell, Samantha L. and Petty, John K. and Martin, R. Shayn and Meredith, J. Wayne and Stitzel, Joel D.",
volume="ePub",
number="ePub",
pages="ePub-ePub",
abstract="BACKGROUND: Advanced automatic crash notification (AACN) can improve triage decision-making by using vehicle telemetry to alert first responders of a motor vehicle crash and estimate an occupant's likelihood of injury. The objective was to develop an AACN algorithm to predict the risk that a pediatric occupant is seriously injured and requires treatment at a Level I or II trauma center. <br><br>METHODS: Based on 3 injury facets (severity; time sensitivity; predictability), a list of Target Injuries associated with a child's need for Level I/II trauma center treatment was determined. Multivariable logistic regression of motor vehicle crash occupants was performed creating the pediatric-specific AACN algorithm to predict risk of sustaining a Target Injury. Algorithm inputs included: delta-v, rollover quarter-turns, belt status, multiple impacts, airbag deployment, and age. The algorithm was optimized to achieve under-triage≤5% and over-triage≤50%. Societal benefits were assessed by comparing correctly triaged motor vehicle crash occupants using the AACN algorithm against real-world decisions. <br><br>RESULTS: The pediatric AACN algorithm achieved 25-49% over-triage across crash modes, and under-triage rates of 2% for far-side, 3% for frontal and near-side, 8% for rear, and 14% for rollover crashes. Applied to real-world motor vehicle crashes, improvements of 59% in under-triage and 45% in over-triage are estimated: more appropriate triage of 32,320 pediatric occupants annually. <br><br>CONCLUSIONS: This AACN algorithm accounts for pediatric developmental stage and will aid emergency personnel in correctly triaging pediatric occupants after a motor vehicle crash. Once incorporated into the trauma triage network it will increase triage efficiency and improve patient outcomes.<p /> <p>Language: en</p>",
language="en",
issn="1876-2859",
doi="10.1016/j.acap.2022.02.016",
url="http://dx.doi.org/10.1016/j.acap.2022.02.016"
}