Michael L. Nance, MD, Michael J. Kallan, MS and John H. Holmes, PhD.

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Presentation transcript:

Michael L. Nance, MD, Michael J. Kallan, MS and John H. Holmes, PhD. Motor vehicle crash characteristics and fatal child occupant injuries: An analysis of linked national databases Michael L. Nance, MD, Michael J. Kallan, MS and John H. Holmes, PhD. Department of Surgery, The Children's Hospital of Philadelphia and Center for Clinical Epidemiology and Biostatistics, University of Pennsylvania,

Background Motor vehicle crashes are the leading cause of death and disability in the pediatric and young adult populations Correlating anatomic injuries with the causative motor vehicle crash characteristics is of paramount importance as a basis for safety design initiatives and injury prevention strategies Data is particularly limited in the area of child occupant injury.

Background The Centers for Disease Control maintain a database of all deaths that occur in the United States, the Multiple Cause-of-Death Public-Use file (MCOD) Up to 20 anatomic diagnosis codes per decedent For the period 1987 to 2002 there were 2,380,566 injury-related decedents including 150,980 fatally injured youth (age < 16 years). For the period 1999-2002, there were 28,837 fatally injured youth. For those fatally injured occupants, detailed injury information but no crash details available

Background In 1975 the Fatality Analysis and Reporting System (FARS) launched by NHTSA For the period 1987-2002, there were 173,681 passenger fatalities entered into database including 31,231 fatally injured youth. For the 1999-2002 era, there were 8,044 child occupant decedents. For those fatally injured occupants, detailed crash information but no anatomic injury details available.

Methods NHTSA created a linked dataset between FARS and MCOD currently available for the period 1987-2002. Linkage created based on the unique death certificate number present in both FARS and MCOD. Merged datasets contain all of the data elements currently available from the individual FARS and MCOD decedent files

Methods Initial support and approval of the project obtained from NCHS and National Association of Public Health Statistics and Information Systems for their approval. Individual data use agreements sought and obtained from 47 of 50 state jurisdictions Data analysis performed through the Research Data Center (RDC) of the NCHS.

Methods Crash-related fatality within 30 days of event Occupant age less than 16 at time of death Decedents from 1999 to 2002 MCOD data elements to include anatomic injury diagnoses based on ICD-10 codes

Results For the 4 years of review: 6,065 child occupant decedents 59.1% male Mean age 8.6 years

Results Injury Location N % Overall 6,065 100.0% Head 3,389 55.9% Spinal Cord 64 1.1% Vertebral Column 117 1.9% Thorax 620 10.2% Abdomen/pelvis 427 7.0% Upper/lower Extremity 88 1.5% Multiple Body Regions 1,520 25.1% *not mutually exclusive

Direction of Initial Impact Results Direction of Initial Impact N % Front 2,494 41.1% Side 2,005 33.1% Rear 520 8.6% Other / Unknown 288 4.7% No Collision 758 12.5%

Results Vehicle Type N % Passenger Car 3,772 62.2% Cargo Van 113 1.9% Pickup Truck 709 11.7% SUV 829 13.7% Minivan 630 10.4% Non-Classifiable but Eligible 12 0.2%

Results Crash Characteristic N % Restrained 2,615 43.1% Front Row Seated 2,375 39.2% Exposed to Airbag 368 6.1% Intrusion (Severe) 5,586 92.1% Non-Drivable 5,967 98.4%

Limitations Only as good as data that is entered Not known how diagnoses obtained May under detect injuries

Conclusions Potentially robust data tool Head injuries predominate in child occupant fatalities Decedents most commonly rear seated, unrestrained passengers in frontal crashes

Future Directions Focus on specific anatomic injuries (e.g. closed head injury, spinal cord injury) Focus on specific crash characteristics (e.g. airbag exposure, side impact) Broaden data use agreement

Supported by a project grant from the Center for Child Injury Prevention Science through the Children’s Hospital of Philadelphia