TY  - JOUR
PY  - 2022//
TI  - Advanced automatic crash notification algorithm for children
JO  - Academic pediatrics
A1  - Weaver, Ashley A.
A1  - Talton, Jennifer W.
A1  - Barnard, Ryan T.
A1  - Gaffley, Michaela
A1  - Doud, Andrea N.
A1  - Schoell, Samantha L.
A1  - Petty, John K.
A1  - Martin, R. Shayn
A1  - Meredith, J. Wayne
A1  - Stitzel, Joel D.
SP  - ePub
EP  - ePub
VL  - ePub
IS  - ePub
N2  - 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>
LA  - en
SN  - 1876-2859
UR  - http://dx.doi.org/10.1016/j.acap.2022.02.016
ID  - ref1
ER  -