Purpose Few existing injury data sources contain information spanning the pre-to-post-injury period, inhibiting research into underlying risk factors for and long-term outcomes of those injuries. We describe the development and capabilities of the NJ-SHO warehouse—a unique and comprehensive data source that integrates various state-level administrative databases to support critical, high-priority research questions in injury prevention.
Methods We obtained full identifiable data from six statewide administrative databases: (1) driver licensing; (2) Administration of the Courts traffic-related citations; (3) police-reported crashes; (4) birth certificates; (5) death certificates; and (6) hospital discharges (emergency department, inpatient, outpatient) as well as (7) childhood electronic records from all 200K NJ residents who were patients of the Children’s Hospital of Philadelphia healthcare network, and (8) numerous census tract-level indicators. We undertook an iterative process to develop and execute a probabilistic linkage using LinkSolv 9.0 software for 2004–2018 and evaluated the quality of the linkage process using several metrics.
Results/Conclusions The NJ-SHO includes 82.8M records for 20.3M NJ residents over the 15-year study period. We will discuss (1) development of the NJ-SHO and our approach to intentionally structure the warehouse so it contains rich individual-level childhood data spanning the pre-to-post-injury period for leading injury mechanisms (e.g., motor vehicle crashes, poisonings, firearms, self-injurious behaviors); (2) linkage evaluation results, which demonstrate that our linkage was of high quality; (3) several unique features of the warehouse—including determination of race and ethnicity, geocoding of residential addresses, coding of injury severity, and identification of multiple events for an individual (e.g., crashes, hospitalizations); and (4) an ongoing effort to link the NJ-SHO to NJ Medicaid/Medicare data.
Significance of Contributions The resulting NJ-SHO warehouse is one of the most comprehensive and rich injury data warehouses to date. It is fully primed to support collaborative studies on a host of high-priority injury topics.
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