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Incidence of workers compensation indemnity claims across socio-demographic and job characteristics.

Authors
Du-J; Leigh-JP
Source
Am J Ind Med 2011 Oct; 54(10):758-770
NIOSHTIC No.
20040176
Abstract
BACKGROUND: We hypothesized that low socioeconomic status, employer-provided health insurance, low wages, and overtime were predictors of reporting workers compensation indemnity claims. We also tested for gender and race disparities. METHODS: Responses from 17,190 (person-years) Americans participating in the Panel Study of Income Dynamics, 1997-2005, were analyzed with logistic regressions. The dependent variable indicated whether the subject collected benefits from a claim. RESULTS: Odds ratios for men and African-Americans were relatively large and strongly significant predictors of claims; significance for Hispanics was moderate and confounded by education. Odds ratios for variables measuring education were the largest for all statistically significant covariates. Neither low wages nor employer-provided health insurance was a consistent predictor. Due to confounding from the "not salaried" variable, overtime was not a consistently significant predictor. CONCLUSION: Few studies use nationally representative longitudinal data to consider which demographic and job characteristics predict reporting workers compensation indemnity cases. This study did and tested some common hypotheses about predictors.
Keywords
Injuries; Information-retrieval-systems; Work-analysis; Worker-health; Demographic-characteristics; Sociological-factors; Sex-factors; Racial-factors; Health-care; Health-surveys; Mathematical-models; Statistical-analysis; Education; Job-analysis; Long-term-study; Lost-work-days
Contact
J. Paul Leigh, PhD, Center for Healthcare Policy and Research, UC Davis Medical School, MS1C, Davis, CA 95616-5270
CODEN
AJIMD8
Publication Date
20111001
Document Type
Journal Article
Email Address
pleigh@ucdavis.edu
Funding Type
Grant
Fiscal Year
2012
NTIS Accession No.
NTIS Price
Identifying No.
Grant-Number-R01-OH-008248
Issue of Publication
10
ISSN
0271-3586
Source Name
American Journal of Industrial Medicine
State
VA; CA
Performing Organization
University of California - Davis
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