Analysis of workers' compensation claims data for machine-related injuries in metal fabrication businesses
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2016/08/01
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Description:Background: Metal fabrication workers are at high risk for machine-related injury. Apart from amputations, data on factors contributing to this problem are generally absent. Methods: Narrative text analysis was performed on workers' compensation claims in order to identify machine-related injuries and determine work tasks involved. Data were further evaluated on the basis of cost per claim, nature of injury, and part of body. Results: From an initial set of 4,268 claims, 1,053 were classified as machine-related. Frequently identified tasks included machine operation (31%), workpiece handling (20%), setup/adjustment (15%), and removing chips (12%). Lacerations to finger(s), hand, or thumb comprised 38% of machine-related injuries; foreign body in the eye accounted for 20%. Amputations were relatively rare but had highest costs per claim (mean $21,059; median $11,998). Conclusions: Despite limitations, workers' compensation data were useful in characterizing machine-related injuries. Improving the quality of data collected by insurers would enhance occupational injury surveillance and prevention efforts. [Description provided by NIOSH]
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ISSN:0271-3586
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Volume:59
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Issue:8
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NIOSHTIC Number:nn:20048027
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Citation:Am J Ind Med 2016 Aug; 59(8):656-664
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Contact Point Address:Samuel C. Yamin, MPH, Health Partners Institute, 8170 33rd Avenue South, Mail stop 23301A, Bloomington, MN 55440-1524
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Email:samuel.c.yamin@healthpartners.com
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Federal Fiscal Year:2016
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Performing Organization:Park Nicollet Institute, Minneapolis, Minnesota
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Peer Reviewed:True
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Start Date:20010930
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Source Full Name:American Journal of Industrial Medicine
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End Date:20170731
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Main Document Checksum:urn:sha-512:aa90e0231dd71acaf8c3e6fa5615f3c9672492fb0c46c9e7ba618e3f21def1d3e9c1787f1d76c460a3260c7ac34a983db96ad3ef0599b55053bdf2be33071215
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