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National Public Health Data Systems in the United States: Applications to Child Agricultural Injury Surveillance
Author(s) -
Marlenga Barbara,
Berg Richard L.,
Pickett William
Publication year - 2018
Publication title -
the journal of rural health
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.439
H-Index - 57
eISSN - 1748-0361
pISSN - 0890-765X
DOI - 10.1111/jrh.12292
Subject(s) - public health surveillance , public health , injury surveillance , medicine , poison control , occupational safety and health , scope (computer science) , environmental health , injury prevention , medical emergency , business , computer security , public relations , political science , computer science , nursing , programming language , pathology
Purpose The United States has no comprehensive national surveillance system for fatal or nonfatal child agricultural injuries. Thus, important knowledge gaps exist about recurrent injury patterns that could provide targeted focus for prevention efforts. The purpose of this study was to explore existing US public health data systems to determine their utility with respect to informing child agricultural injury surveillance and primary prevention. Methods Public health data systems were selected if they: (1) were national in scope, (2) were active and ongoing, (3) included physical injuries, and (4) contained a “farm” location variable. Data systems explored included National Emergency Medical Services Information System, National Trauma Data Bank, National Electronic Injury Surveillance System‐All Injury Program, and National Vital Statistics System‐Multiple Cause File. Findings Each data system contained substantial information per case with the number of fields ranging from 77 to 127. Beyond basic demographic information about the injured child, there were many injury descriptors, but few commonalities across systems. The most striking finding was the uniform absence of information on injury circumstances; that is, why and how the injury occurred, which is fundamental to planning and evaluating prevention initiatives. Conclusions Although these public health data systems captured many details regarding medical aspects of the injury, they included little information on circumstances leading to injury, thus limiting their utility for child agricultural injury surveillance and primary prevention initiatives. We recommend any child agricultural injury data collection tool formally incorporate a structured narrative so underlying circumstances leading to injury events are documented.