Terry L Bunn1, Svetla Slavova, Andrew C Bernard. 1. From the Kentucky Injury Prevention and Research Center (T.L.B., S.S.), College of Public Health, and Department of Surgery (A.C.B.), College of Medicine, University of Kentucky, Lexington, Kentucky.
Abstract
BACKGROUND: Work-related injuries exert a great financial and economic burden on the US population. The study objectives were to identify the industries and occupations associated with worker injuries and to determine the predictors for injured worker drug screening in trauma centers. METHODS: Work-related injury cases were selected using three criteria (expected payer source of workers' compensation, industry-related e-codes, and work-related indicator) from the Kentucky Trauma Registry data set for years 2008 to 2012. Descriptive analyses and multiple logistic regression were performed on the work-related injury cases. RESULTS: The "other services" and construction industry sectors accounted for the highest number of work-related cases. Drugs were detected in 55% of all drug-screened work-related trauma cases. Higher percentages of injured workers tested positive for drugs in the natural resources and mining, transportation and public utilities, and construction industries. In comparison, higher percentages of injured workers in the other services as well as transportation and public utilities industries were drug screened. Treatment at Level I trauma centers and Glasgow Coma Scale (GCS) scores indicating a coma or severe brain injury were both significant independent predictors for being screened for drugs; industry was not a significant predictor for being drug screened. The injured worker was more likely to be drug screened if the worker had a greater than mild injury, regardless of whether the worker was an interfacility transfer. CONCLUSION: These findings indicate that there may be elevated drug use or abuse in natural resources and mining, transportation and public utilities, as well as construction industry workers; improved identification of the specific drug types in positive drug screen results of injured workers is needed to better target prevention efforts. LEVEL OF EVIDENCE: Epidemiologic study, level III.
BACKGROUND: Work-related injuries exert a great financial and economic burden on the US population. The study objectives were to identify the industries and occupations associated with worker injuries and to determine the predictors for injured worker drug screening in trauma centers. METHODS: Work-related injury cases were selected using three criteria (expected payer source of workers' compensation, industry-related e-codes, and work-related indicator) from the Kentucky Trauma Registry data set for years 2008 to 2012. Descriptive analyses and multiple logistic regression were performed on the work-related injury cases. RESULTS: The "other services" and construction industry sectors accounted for the highest number of work-related cases. Drugs were detected in 55% of all drug-screened work-related trauma cases. Higher percentages of injured workers tested positive for drugs in the natural resources and mining, transportation and public utilities, and construction industries. In comparison, higher percentages of injured workers in the other services as well as transportation and public utilities industries were drug screened. Treatment at Level I trauma centers and Glasgow Coma Scale (GCS) scores indicating a coma or severe brain injury were both significant independent predictors for being screened for drugs; industry was not a significant predictor for being drug screened. The injured worker was more likely to be drug screened if the worker had a greater than mild injury, regardless of whether the worker was an interfacility transfer. CONCLUSION: These findings indicate that there may be elevated drug use or abuse in natural resources and mining, transportation and public utilities, as well as construction industry workers; improved identification of the specific drug types in positive drug screen results of injured workers is needed to better target prevention efforts. LEVEL OF EVIDENCE: Epidemiologic study, level III.
Authors: Danielle C Ompad; Robyn R Gershon; Simon Sandh; Patricia Acosta; Joseph J Palamar Journal: Drug Alcohol Depend Date: 2019-10-30 Impact factor: 4.492