Ontology highlight
ABSTRACT: Objective
The availability of complete and accurate crash injury data is critical to prevention and intervention efforts. Relying solely on hospital discharge data or police crash reports may result in a biased undercount of injuries. Linking hospital data with crash reports may allow for a more robust identification of injuries and an understanding of which populations may be missed in an analysis of one source. We used the New Jersey Safety and Health Outcomes (NJ-SHO) data warehouse to examine the share of the entire crash-injured population identified in each of the two data sources, overall and by age, race/ethnicity, sex, injury severity, and road user type.Methods
We utilized 2016-2017 data from the NJ-SHO warehouse. We identified crash-involved individuals in hospit
SUBMITTER: Lombardi LR
PROVIDER: S-EPMC9744954 | biostudies-literature | 2022
REPOSITORIES: biostudies-literature