Ontology highlight
ABSTRACT: Background
Workers of color experience a disproportionate share of work-related injuries and illnesses (WRII), however, most workers' compensation systems do not collect race and ethnicity information, making it difficult to monitor trends over time, or to investigate specific policies and procedures that maintain or could eliminate the unequal burden of WRII for workers of color. The purpose of this study is to apply a Bayesian method to Washington workers' compensation claims data to identify racial and ethnic disparities of WRII by industry and occupation, improving upon existing surveillance limitations. Measuring differences in risk for WRII will better inform prevention efforts and target prevention to those at increased risk.Methods
To estimate WRII by race/ethnicity
SUBMITTER: Smith CK
PROVIDER: S-EPMC9844878 | biostudies-literature | 2023
REPOSITORIES: biostudies-literature