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Predicting work-related disability and medical cost outcomes: a comparison of injury severity scoring methods.

Sears JM; Blanar L; Bowman SM

Injury 2014 Jan; 45(1):16-22

https://doi.org/10.1016/j.injury.2012.12.024

20046574

INTRODUCTION: Acute work-related trauma is a leading cause of death and disability among U.S. workers. Occupational health services researchers have described the pressing need to identify valid injury severity measures for purposes such as case-mix adjustment and the construction of appropriate comparison groups in programme evaluation, intervention, quality improvement, and outcome studies. The objective of this study was to compare the performance of several injury severity scores and scoring methods in the context of predicting work-related disability and medical cost outcomes. METHODS: Washington State Trauma Registry (WTR) records for injuries treated from 1998 to 2008 were linked with workers' compensation claims. Several Abbreviated Injury Scale (AIS)-based injury severity measures (ISS, New ISS, maximum AIS) were estimated directly from ICD-9-CM codes using two software packages: (1) ICDMAP-90, and (2) Stata's user-written ICDPIC programme (ICDPIC). ICDMAP-90 and ICDPIC scores were compared with existing WTR scores using the Akaike Information Criterion, amount of variance explained, and estimated effects on outcomes. Competing risks survival analysis was used to evaluate work disability outcomes. Adjusted total medical costs were modelled using linear regression. RESULTS: The linked sample contained 6052 work-related injury events. There was substantial agreement between WTR scores and those estimated by ICDMAP-90 (kappa=0.73), and between WTR scores and those estimated by ICDPIC (kappa=0.68). Work disability and medical costs increased monotonically with injury severity, and injury severity was a significant predictor of work disability and medical cost outcomes in all models. WTR and ICDMAP-90 scores performed better with regard to predicting outcomes than did ICDPIC scores, but effect estimates were similar. Of the three severity measures, maxAIS was usually weakest, except when predicting total permanent disability. CONCLUSIONS: Injury severity was significantly associated with work disability and medical cost outcomes for work-related injuries. Injury severity can be estimated using either ICDMAP-90 or ICDPIC when ICD-9-CM codes are available. We observed little practical difference between severity measures or scoring methods. This study demonstrated that using existing software to estimate injury severity may be useful to enhance occupational injury surveillance and research.

Traumatic-injuries; Injuries; Mortality-rates; Morbidity-rates; Workers; Work-environment; Risk-factors; Author Keywords: Trauma severity indices; ICDPIC; ICDMAP-90; Injury Severity Score; New Injury Severity Score; Abbreviated Injury Scale; Occupational injuries; Workers' compensation; Work disability; Medical costs

Jeanne M. Sears, Department of Health Services, University of Washington, Box 354809, Seattle, WA 98195

INJUBF

20140101

Journal Article

jeannes@u.washington.edu

Grant

2014

Grant-Number-R03-OH-009883; Grant-Number-T42-OH-008433

1

0020-1383

Injury

WA; CA; MD

University of Washington, Seattle