Use of Employer Administrative Databases to Identify Systematic Causes of Injury in Aluminum Manufacturing
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2007/09/01
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Description:BACKGROUND: Employer administrative files are an underutilized source of data in epidemiologic studies of occupational injuries. METHODS: Personnel files, occupational health surveillance data, industrial hygiene data, and a real-time incident and injury management system from a large multi-site aluminum manufacturer were linked deterministically. An ecological-level measure of physical job demand was also linked. This method successfully created a database containing over 100 variables for 9,101 hourly employees from eight geographically dispersed U.S. plants. RESULTS: Between 2002 and 2004, there were 3,563 traumatic injuries to 2,495 employees. The most common injuries were sprain/strains (32%), contusions (24%), and lacerations (14%). A multivariable logistic regression model revealed that physical job demand was the strongest predictor of injury risk, in a dose dependent fashion. Other strong predictors of injury included female gender, young age, short company tenure and short time on current job. CONCLUSIONS: Employer administrative files are a useful source of data, as they permit the exploration of risk factors and potential confounders that are not included in many population-based surveys. The ability to link employer administrative files with injury surveillance data is a valuable analysis strategy for comprehensively studying workplace injuries, identifying salient risk factors, and targeting workforce populations disproportionately affected. [Description provided by NIOSH]
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ISSN:0271-3586
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Volume:50
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Issue:9
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NIOSHTIC Number:nn:20032844
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Citation:Am J Ind Med 2007 Sep; 50(9):676-686
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Contact Point Address:Dr. Keshia M. Pollack, Department of Health Policy and Management, Center for Injury Research and Policy, Johns Hopkins Bloomberg School of Public Health, 624 North Broadway, Room 557, Baltimore, MD 21202
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Email:kpollack@jhsph.edu
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Federal Fiscal Year:2007
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Performing Organization:Yale University School of Medicine, New Haven, Connecticut
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Peer Reviewed:True
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Start Date:19990930
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Source Full Name:American Journal of Industrial Medicine
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End Date:20020929
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Main Document Checksum:urn:sha-512:89960958e02663d405b058c93f38001e410875fef594691b76d3be7d1517c0e42a48a23e2efdadaa2cc7b785ef86c4aeffc696bfd2dd7718ccf852123367b987
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