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Objective: Our objective was to describe the development of the New Jersey Safety and Health Outcomes (NJ-SHO) data warehouse-a unique and comprehensive data source that integrates state-wide administrative databases in NJ to enable the field of injury prevention to address critical, high-priority research questions., Methods: We undertook an iterative process to link data from six state-wide administrative databases from NJ for the period of 2004 through 2018: (1) driver licensing histories, (2) traffic-related citations and suspensions, (3) police-reported crashes, (4) birth certificates, (5) death certificates and (6) hospital discharges (emergency department, inpatient and outpatient). We also linked to electronic health records of all NJ patients of the Children's Hospital of Philadelphia network, census tract-level indicators (using geocoded residential addresses) and state-wide Medicaid/Medicare data. We used several metrics to evaluate the quality of the linkage process., Results: After the linkage process was complete, the NJ-SHO data warehouse included linked records for 22.3 million distinct individuals. Our evaluation of this linkage suggests that the linkage was of high quality: (1) the median match probability-or likelihood of a match being true-among all accepted pairs was 0.9999 (IQR: 0.9999-1.0000); and (2) the false match rate-or proportion of accepted pairs that were false matches-was 0.0063., Conclusions: The resulting NJ-SHO warehouse is one of the most comprehensive and rich longitudinal sources of injury data to date. The warehouse has already been used to support numerous studies and is primed to support a host of rigorous studies in the field of injury prevention., Competing Interests: Competing interests: None declared., (© Author(s) (or their employer(s)) 2021. No commercial re-use. See rights and permissions. Published by BMJ.)

Background: Previous studies have identified risk factors for dog bites in children, but use data from individual trauma centers, with limited generalizability. This study identifies a population risk profile for pediatric dog bites using the National Trauma Data Bank. We hypothesized that the population at risk was younger boys, that such bites occur at home, are moderately severe, and are on the face or neck., Methods: For this retrospective cross-sectional study, a sample of 7912 children 17 years old and younger with International Classification of Diseases (ICD)-9 event code E906.0, for dog bites, were identified. Datasets from 2007 to 2014 were used. Data included patient's gender, age, ICD-9 primary and location E-codes, AIS body region and AIS severity., Results: Most children were 6-12 years old and female, but a similar number fell into the narrower range of 0-2 years old. Injuries in the younger group frequently occurred at home, on the face and head, and with minor severity. Age of the child predicts the location of incident (P<0.001), the severity of injury (P<0.001) and the body region of the injury (P<0.001). Body region of the injury predicted its severity (P<0.001)., Discussion: Younger children are more likely to receive dog bites, and bites incurred are likely of greater severity. Children this young cannot yet be taught how to properly interact with a dog., Conclusions: Dog bites are a significant source of morbidity for children. Based on the population risk factors profile generated, this study recommends targeting live dog education towards the parents of young children., Competing Interests: Competing interests: None declared., (© Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2019. All rights reserved. No commercial use is permitted unless otherwise expressly granted.)