caa a22 4500 606211144 CHVBK 20210128101036.0 cr unu---uuuuu 210128e20151201xx s 000 0 eng 10.1007/s10926-015-9582-5 doi (NATIONALLICENCE)springer-10.1007/s10926-015-9582-5 A New Method to Classify Injury Severity by Diagnosis: Validation Using Workers' Compensation and Trauma Registry Data [Elektronische Daten] [Jeanne Sears, Stephen Bowman, Mary Rotert, Sheilah Hogg-Johnson] Purpose Acute work-related trauma is a leading cause of death and disability among U.S. workers. Existing methods to estimate injury severity have important limitations. This study assessed a severe injury indicator constructed from a list of severe traumatic injury diagnosis codes previously developed for surveillance purposes. Study objectives were to: (1) describe the degree to which the severe injury indicator predicts work disability and medical cost outcomes; (2) assess whether this indicator adequately substitutes for estimating Abbreviated Injury Scale (AIS)-based injury severity from workers' compensation (WC) billing data; and (3) assess concordance between indicators constructed from Washington State Trauma Registry (WTR) and WC data. Methods WC claims for workers injured in Washington State from 1998 to 2008 were linked to WTR records. Competing risks survival analysis was used to model work disability outcomes. Adjusted total medical costs were modeled using linear regression. Information content of the severe injury indicator and AIS-based injury severity measures were compared using Akaike Information Criterion and R2. Results Of 208,522 eligible WC claims, 5% were classified as severe. Among WC claims linked to the WTR, there was substantial agreement between WC-based and WTR-based indicators (kappa=0.75). Information content of the severe injury indicator was similar to some AIS-based measures. The severe injury indicator was a significant predictor of WTR inclusion, early hospitalization, compensated time loss, total permanent disability, and total medical costs. Conclusions Severe traumatic injuries can be directly identified when diagnosis codes are available. This method provides a simple and transparent alternative to AIS-based injury severity estimation. Springer Science+Business Media New York, 2015 Injury severity nationallicence Trauma severity indices nationallicence ICDPIC nationallicence Occupational injuries nationallicence Workers' compensation nationallicence Work disability nationallicence ICD-9-CM nationallicence Sears Jeanne Department of Health Services, School of Public Health, University of Washington, Box 357660, 98195, Seattle, WA, USA aut Bowman Stephen Department of Health Policy and Management, Fay W. Boozman College of Public Health, University of Arkansas for Medical Sciences, Little Rock, AR, USA aut Rotert Mary Trauma Clinical Consultant, Lacey, WA, USA aut Hogg-Johnson Sheilah Institute for Work and Health, Toronto, ON, Canada aut Journal of Occupational Rehabilitation Springer US; http://www.springer-ny.com 25/4(2015-12-01), 742-751 1053-0487 25:4<742 2015 25 10926 https://doi.org/10.1007/s10926-015-9582-5 text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s10926-015-9582-5 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Sears Jeanne Department of Health Services, School of Public Health, University of Washington, Box 357660, 98195, Seattle, WA, USA aut NATIONALLICENCE 700 1- Bowman Stephen Department of Health Policy and Management, Fay W. Boozman College of Public Health, University of Arkansas for Medical Sciences, Little Rock, AR, USA aut NATIONALLICENCE 700 1- Rotert Mary Trauma Clinical Consultant, Lacey, WA, USA aut NATIONALLICENCE 700 1- Hogg-Johnson Sheilah Institute for Work and Health, Toronto, ON, Canada aut NATIONALLICENCE 773 0- Journal of Occupational Rehabilitation Springer US; http://www.springer-ny.com 25/4(2015-12-01), 742-751 1053-0487 25:4<742 2015 25 10926