Document Detail


Concordance between ANSI occupational back injury codes and claim form diagnoses and a lower bound estimate of the fraction associated with disc displacement/herniation.
MedLine Citation:
PMID:  8909604     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
The current BLS Annual Survey of Occupational Illnesses and Injuries and several recent analyses of factors affecting missed worktime in occupational back injuries rely on ANSI-based injury codes derived from injury narratives to classify occupational injuries and estimate incidence and outcome. No population-based studies of the concordance between back injury codes and clinical diagnoses have been reported. Back injury cases were identified in two large work-injured populations totaling almost 80,000 cases in the states of Michigan and Minnesota. In both populations, cases had been coded by the single nature-of-injury and part-of-body-injured codes assigned by an ANSI-based injury-coding system and by as many as four (Michigan) or three (Minnesota) clinical diagnoses according to the International Classification of Diseases-Clinical Modification, 9th Revision. Concordance was measured by the sensitivity and predictive value positive (PVP, aka PV+ or PPA) of the injury coding scheme for related diagnostic groups. We also used an algorithm based on the limited clinical information available to corroborate the diagnosis of displaced/herniated disc for cases that underwent spinal surgery. Cases identified by the algorithm were then used to obtain a lower bound estimate of the fraction with disc injury. The injury coding scheme had PVPs of 82.9-90.1% and overall sensitivities of 69.7-75.9%. Sensitivities for individual diagnostic groups show that their distribution in ANSI-coded injury groups is skewed slightly toward cases with sprain and disc displacement/herniation, but these shifts are modest. The lower bound estimate of the fraction of cases with disc displacement/herniation in a population of cases with back injuries producing at least 1 day of missed worktime is 5.8%. The demographic comparisons indicate that, as the time between injury and cohort ascertainment increases during the first 8 days of missed worktime following injury, the proportion of younger workers in an injury cohort decreases. The relationship between increasing age and increasing missed worktime disability, reported in various outcome studies, is also present during the first few days following injury. The use of ANSI injury codes underestimates the contribution of back injuries to missed worktime because 24-30% of cases are missed by the ANSI coding system. However, the distribution of diagnostic groups in the injury-coded groups approximates that observed with all diagnosed cases and supports the use of such data to study outcome. Our estimate, and one from Quebec, suggest that disc displacement/herniation occurs more frequently in the subset of occupational back injuries compared to the set of back injuries from all sources.
Authors:
A Oleinick; J V Gluck; K E Guire
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Publication Detail:
Type:  Comparative Study; Journal Article; Research Support, U.S. Gov't, P.H.S.    
Journal Detail:
Title:  American journal of industrial medicine     Volume:  30     ISSN:  0271-3586     ISO Abbreviation:  Am. J. Ind. Med.     Publication Date:  1996 Nov 
Date Detail:
Created Date:  1997-02-20     Completed Date:  1997-02-20     Revised Date:  2007-11-14    
Medline Journal Info:
Nlm Unique ID:  8101110     Medline TA:  Am J Ind Med     Country:  UNITED STATES    
Other Details:
Languages:  eng     Pagination:  556-68     Citation Subset:  IM    
Affiliation:
Department of Environmental and Industrial Health, School of Public Health, University of Michigan Ann Arbor 48109-2029, USA.
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MeSH Terms
Descriptor/Qualifier:
Adolescent
Adult
Age Distribution
Disability Evaluation*
Female
Humans
Intervertebral Disk Displacement / classification*,  epidemiology
Male
Medical Records Systems, Computerized
Michigan / epidemiology
Middle Aged
Minnesota / epidemiology
Occupational Diseases / classification*,  epidemiology
Predictive Value of Tests
Sex Distribution
Sick Leave
United States
Workers' Compensation*
Grant Support
ID/Acronym/Agency:
P60-AR20557/AR/NIAMS NIH HHS

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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