TY - JOUR
T1 - Use of employer administrative databases to identify systematic causes of injury in aluminum manufacturing
AU - Pollack, Keshia M.
AU - Agnew, Jacqueline
AU - Slade, Martin D.
AU - Cantley, Linda
AU - Taiwo, Oyebode
AU - Vegso, Sally
AU - Sircar, Kanta
AU - Cullen, Mark R.
N1 - Copyright:
Copyright 2011 Elsevier B.V., All rights reserved.
PY - 2007/9
Y1 - 2007/9
N2 - 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.
AB - 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.
KW - Administrative databases
KW - Data linkage
KW - Manufacturing sector
KW - Occupational injury epidemiology
KW - Workplace safety
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U2 - 10.1002/ajim.20493
DO - 10.1002/ajim.20493
M3 - Article
C2 - 17676586
AN - SCOPUS:34548646611
SN - 0271-3586
VL - 50
SP - 676
EP - 686
JO - American Journal of Industrial Medicine
JF - American Journal of Industrial Medicine
IS - 9
ER -