TY - JOUR
T1 - Trauma in the neighborhood
T2 - a geospatial analysis and assessment of social determinants of major injury in North America.
AU - Newgard, Craig D.
AU - Schmicker, Robert H.
AU - Sopko, George
AU - Andrusiek, Dug
AU - Bialkowski, Walter
AU - Minei, Joseph P.
AU - Brasel, Karen
AU - Bulger, Eileen
AU - Fleischman, Ross J.
AU - Kerby, Jeffrey D.
AU - Bigham, Blair L.
AU - Warden, Craig R.
AU - Resuscitation Outcomes Consortium Investigators, Outcomes Consortium Investigators
PY - 2011/4
Y1 - 2011/4
N2 - We sought to identify and characterize areas with high rates of major trauma events in 9 diverse cities and counties in the United States and Canada. We analyzed a prospective, population-based cohort of injured individuals evaluated by 163 emergency medical service agencies transporting patients to 177 hospitals across the study sites between December 2005 and April 2007. Locations of injuries were geocoded, aggregated by census tract, assessed for geospatial clustering, and matched to sociodemographic measures. Negative binomial models were used to evaluate population measures. Emergency personnel evaluated 8786 major trauma patients, and data on 7326 of these patients were available for analysis. We identified 529 (13.7%) census tracts with a higher than expected incidence of major trauma events. In multivariable models, trauma events were associated with higher unemployment rates, larger percentages of non-White residents, smaller percentages of foreign-born residents, lower educational levels, smaller household sizes, younger age, and lower income levels. Major trauma events tend to cluster in census tracts with distinct population characteristics, suggesting that social and contextual factors may play a role in the occurrence of significant injury events.
AB - We sought to identify and characterize areas with high rates of major trauma events in 9 diverse cities and counties in the United States and Canada. We analyzed a prospective, population-based cohort of injured individuals evaluated by 163 emergency medical service agencies transporting patients to 177 hospitals across the study sites between December 2005 and April 2007. Locations of injuries were geocoded, aggregated by census tract, assessed for geospatial clustering, and matched to sociodemographic measures. Negative binomial models were used to evaluate population measures. Emergency personnel evaluated 8786 major trauma patients, and data on 7326 of these patients were available for analysis. We identified 529 (13.7%) census tracts with a higher than expected incidence of major trauma events. In multivariable models, trauma events were associated with higher unemployment rates, larger percentages of non-White residents, smaller percentages of foreign-born residents, lower educational levels, smaller household sizes, younger age, and lower income levels. Major trauma events tend to cluster in census tracts with distinct population characteristics, suggesting that social and contextual factors may play a role in the occurrence of significant injury events.
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U2 - 10.2105/AJPH.2010.300063
DO - 10.2105/AJPH.2010.300063
M3 - Article
C2 - 21389292
AN - SCOPUS:79955673433
SN - 0090-0036
VL - 101
SP - 669
EP - 677
JO - American Journal of Public Health
JF - American Journal of Public Health
IS - 4
ER -