• Am J Prev Med · Oct 1998

    The Wisconsin Firearm-Related Injury Surveillance System.

    • J Fox, L Stahlsmith, P Remington, T Tymus, and S Hargarten.
    • Epidemic Intelligence Service, Centers for Disease Control and Prevention, Madison, Wisconsin, USA.
    • Am J Prev Med. 1998 Oct 1;15(3 Suppl):101-8.

    ContextFirearm-related injuries rank second only to motor vehicle-related injuries as a cause of injury death in Wisconsin.ObjectiveTo evaluate the attributes of the Wisconsin Firearm-Related Injury Surveillance System.DesignA structured surveillance system evaluation using predetermined criteria.SettingA passive surveillance system linking administrative data from existing state-funded inpatient hospitalization and mortality databases.ParticipantsState health department.Main Outcome MeasuresAttributes assessed included simplicity, flexibility, acceptability, sensitivity, predictive value positive, representativeness, timeliness, resources, and data quality.ResultsThe use of two existing state databases simplifies data acquisition and linkage. However, hospital discharge and vital records databases are not sufficiently flexible to collect perpetrator and circumstance information. Acceptability is high because of state-mandated reporting to both databases. For firearm-related injuries requiring hospitalization, the system's predictive value positive is 97% when E codes are compared with data from chart reviews. The system is considered timely because annual data from the hospital discharge and vital records systems can be obtained, linked, analyzed, and reported by September of the subsequent year. The system is sustainable largely because existing software is used for annual evaluations, which requires less than 2 weeks of staff time.ConclusionsWith minimal resources and time, the Wisconsin Firearm-Related Injury Surveillance System uses existing state government databases to describe and report the burden of firearm-related injuries. Additional information on circumstances, perpetrators, and weapons involved are available but additional resources are needed to integrate this information with existing data.

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