Catalyzing traffic safety advancements via data linkage: Development of the New Jersey Safety and Health Outcomes (NJ-SHO) data warehouse. (25th November 2019)
- Record Type:
- Journal Article
- Title:
- Catalyzing traffic safety advancements via data linkage: Development of the New Jersey Safety and Health Outcomes (NJ-SHO) data warehouse. (25th November 2019)
- Main Title:
- Catalyzing traffic safety advancements via data linkage: Development of the New Jersey Safety and Health Outcomes (NJ-SHO) data warehouse
- Authors:
- Curry, Allison E.
Pfeiffer, Melissa R.
Carey, Meghan E.
Cook, Lawrence J. - Abstract:
- 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.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. … (more)
- Is Part Of:
- Traffic injury prevention. Volume 20(2019)Supplement 2
- Journal:
- Traffic injury prevention
- Issue:
- Volume 20(2019)Supplement 2
- Issue Display:
- Volume 20, Issue 2 (2019)
- Year:
- 2019
- Volume:
- 20
- Issue:
- 2
- Issue Sort Value:
- 2019-0020-0002-0000
- Page Start:
- S151
- Page End:
- S155
- Publication Date:
- 2019-11-25
- Subjects:
- Administrative data -- data linkage -- injury prevention -- motor vehicle crash
Traffic safety -- Periodicals
Traffic accidents -- Periodicals
Wounds and injuries -- Prevention -- Periodicals
363.125 - Journal URLs:
- http://www.tandfonline.com/toc/gcpi20/current ↗
http://www.tandfonline.com/ ↗ - DOI:
- 10.1080/15389588.2019.1679552 ↗
- Languages:
- English
- ISSNs:
- 1538-9588
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 8882.133000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 12974.xml