Disclosure Statement: The authors report no conflicts of interests.
Injury classification agreement in linked Bureau of Labor Statistics and Workers' Compensation data
Article first published online: 17 DEC 2013
© 2013 The Authors. American Journal of Industrial Medicine Published by Wiley Periodicals, Inc.
This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.
American Journal of Industrial Medicine
Volume 57, Issue 10, pages 1100–1109, October 2014
How to Cite
Wuellner, S. E. and Bonauto, D. K. (2014), Injury classification agreement in linked Bureau of Labor Statistics and Workers' Compensation data. Am. J. Ind. Med., 57: 1100–1109. doi: 10.1002/ajim.22289
- Issue published online: 15 SEP 2014
- Article first published online: 17 DEC 2013
- Manuscript Accepted: 25 NOV 2013
- Bureau of Labor Statistics;. Grant Number: OS-20358-11-75-J-53
- occupational injury;
- Workers' Compensation data;
- injury classification;
- injury coding
Estimates of select occupational injuries and illnesses often differ across data sources. We explored agreement in injury classifications and the impact of differences on case estimates among records reported to multiple data sources.
We linked cases reported in the Bureau of Labor Statistics (BLS) annual Survey of Occupational Injuries and Illnesses (SOII) to Washington State workers' compensation (WC) claims and evaluated agreement in injury characteristics coded in each data source according to the same occupational injury and illness classification system.
Agreement between data sources was greatest for body part and lowest for event or exposure. Agreement on nature of injury varied by condition. WC-assigned injury codes estimated 94% more amputations than SOII-assigned codes while SOII-assigned codes estimated 34% more work-related MSD cases.
Accounting for classification differences may improve case ascertainment within individual data sources and help align injury and illness estimates derived from different data sources. Am. J. Ind. Med. 57:1100–1109, 2014. © 2013 The Authors. American Journal of Industrial Medicine Published by Wiley Periodicals, Inc.