Literature DB >> 31714800

Catalyzing traffic safety advancements via data linkage: Development of the New Jersey Safety and Health Outcomes (NJ-SHO) data warehouse.

Allison E Curry1,2, Melissa R Pfeiffer1, Meghan E Carey1, Lawrence J Cook3.   

Abstract

Objective: Our objective is to describe the development of the New Jersey Safety and Health Outcomes (NJ-SHO) data warehouse, a unique and comprehensive data source that integrates various state-level administrative databases in New Jersey to enable the field of traffic safety to address critical, high-priority research questions.
Methods: We have obtained full identifiable data from the following statewide administrative databases for the state of New Jersey: (1) driver licensing database; (2) Administration Office of the Courts data on traffic-related citations; (3) police-reported crash database; (4) birth certificate data; (5) death certificate data; and (6) hospital discharge data as well as (7) childhood electronic records from New Jersey residents who were patients of the Children's Hospital of Philadelphia pediatric health care network and (8) census tract-level indicators. We undertook an iterative process to develop a linkage algorithm in LinkSolv 9.0 software using records for individuals born in select birth years (1987 and 1988) and subsequently execute the linkage for the entire study period (2004-2017). Several metrics were used to evaluate the quality of the linkage process.
Results: We identified a total of 62,685,619 records and 19,247,363 distinct individuals; 10,352,998 of these individuals had more than one record brought together during the linkage process. Our evaluation of this linkage suggests that the linkage was of high quality.Conclusions: The resulting NJ-SHO data warehouse will be one of the most comprehensive and rich traffic safety data warehouses to date. The warehouse has already been utilized for numerous studies and will be fully primed to support a host of rigorous studies, both in and beyond the field of traffic safety.

Entities:  

Keywords:  Administrative data; data linkage; injury prevention; motor vehicle crash

Mesh:

Year:  2019        PMID: 31714800      PMCID: PMC7035196          DOI: 10.1080/15389588.2019.1679552

Source DB:  PubMed          Journal:  Traffic Inj Prev        ISSN: 1538-9588            Impact factor:   1.491


  6 in total

1.  Disparity surveillance of nonfatal motor vehicle crash injuries.

Authors:  Ying Zhang; Ge Lin
Journal:  Traffic Inj Prev       Date:  2013       Impact factor: 1.491

2.  Young driver crash rates by licensing age, driving experience, and license phase.

Authors:  Allison E Curry; Melissa R Pfeiffer; Dennis R Durbin; Michael R Elliott
Journal:  Accid Anal Prev       Date:  2015-05-20

3.  Graduated driver licensing decal law: effect on young probationary drivers.

Authors:  Allison E Curry; Melissa R Pfeiffer; Russell Localio; Dennis R Durbin
Journal:  Am J Prev Med       Date:  2013-01       Impact factor: 5.043

4.  Crash and traffic violation rates before and after licensure for novice California drivers subject to different driver licensing requirements.

Authors:  Eric A Chapman; Scott V Masten; Kelly K Browning
Journal:  J Safety Res       Date:  2014-06-14

5.  Traffic Crashes, Violations, and Suspensions Among Young Drivers With ADHD.

Authors:  Allison E Curry; Benjamin E Yerys; Kristina B Metzger; Meghan E Carey; Thomas J Power
Journal:  Pediatrics       Date:  2019-05-20       Impact factor: 7.124

6.  Motor Vehicle Crash Risk Among Adolescents and Young Adults With Attention-Deficit/Hyperactivity Disorder.

Authors:  Allison E Curry; Kristina B Metzger; Melissa R Pfeiffer; Michael R Elliott; Flaura K Winston; Thomas J Power
Journal:  JAMA Pediatr       Date:  2017-08-01       Impact factor: 16.193

  6 in total
  6 in total

1.  Vehicle safety characteristics in vulnerable driver populations.

Authors:  Kristina B Metzger; Emma Sartin; Robert D Foss; Nina Joyce; Allison E Curry
Journal:  Traffic Inj Prev       Date:  2020-08-27       Impact factor: 1.491

2.  Facilitating research on racial and ethnic disparities and inequities in transportation: Application and evaluation of the Bayesian Improved Surname Geocoding (BISG) algorithm.

Authors:  Emma B Sartin; Kristina B Metzger; Melissa R Pfeiffer; Rachel K Myers; Allison E Curry
Journal:  Traffic Inj Prev       Date:  2021-08-17       Impact factor: 2.183

3.  Missed opportunities to advance knowledge on traffic safety: Accessibility of driver licensing and crash data for scientific research.

Authors:  Meghan E Carey; Evan D Anderson; Rania Mansour; Jason Sloan; Allison E Curry
Journal:  Accid Anal Prev       Date:  2020-03-18

Review 4.  Connections Between Opioids and Road Injury: Linkage of Prescription Monitoring and Crash Databases.

Authors:  Rebecca B Naumann; Kristin Shiue; Amin Mohamadi Hezaveh; Stephen W Marshall; Christopher R Cherry
Journal:  Am J Prev Med       Date:  2019-12-19       Impact factor: 5.043

5.  Comparison of Motor Vehicle Crashes, Traffic Violations, and License Suspensions Between Autistic and Non-Autistic Adolescent and Young Adult Drivers.

Authors:  Allison E Curry; Kristina B Metzger; Meghan E Carey; Emma B Sartin; Patty Huang; Benjamin E Yerys
Journal:  J Am Acad Child Adolesc Psychiatry       Date:  2021-01-13       Impact factor: 13.113

6.  Individual and Geographic Variation in Driver's License Suspensions: Evidence of Disparities by Race, Ethnicity and Income.

Authors:  Nina R Joyce; Melissa R Pfeiffer; Andrew R Zullo; Jasjit Ahluwalia; Allison E Curry
Journal:  J Transp Health       Date:  2020-09-14
  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.