Abstract
This article presents a discussion about record linkage in injury research. It highlights previous applications in this area (e.g., cancer research), while examining some of the challenges involved with data linking and injury prevention and control. The authors focus their research on applications that link police crash data records to road trauma. In that guise, they link crash characteristics (e.g., vehicle and occupant behavior) with health-related datasets (e.g., medical and financial outcomes). An example of this application is cited in a United States data source — Crash Outcome Data and Evaluation System, which uses probabilistic methods to link multiple datasets that include traffic crashes, health data, and vital statistics. The combined datasets assess such aspects of transportation-related injuries as occurrence, costs and outcomes, and the effectiveness of injury prevention measures. The authors note that the diversity and complexity of existing privacy legislation might present challenges in expanding injury prevention research applications. To address this, they offer several methods designed to improve both the quality and ease of undertaking record linkage in injury research.
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