Ontology highlight
ABSTRACT: Objective
To describe characteristics of industrial injury hospitalizations, and to test the hypothesis that industrial injuries were increasingly billed to non-workers' compensation (WC) payers over time.Data sources
Hospitalization data for 1998-2009 from State Inpatient Databases, Healthcare Cost and Utilization Project, and Agency for Healthcare Research and Quality.Study design
Retrospective secondary analyses described the distribution of payer, age, gender, race/ethnicity, and injury severity for injuries identified using industrial place of occurrence codes. Logistic regression models estimated trends in expected payer.Principal findings
There was a significant increase over time in the odds of an industrial injury not being billed to WC in California and Colorado, but a significant decrease in New York. These states had markedly different WC policy histories. Industrial injuries among older workers were more often billed to a non-WC payer, primarily Medicare.Conclusions
Findings suggest potentially dramatic cost shifting from WC to Medicare. This study adds to limited, but mounting evidence that, in at least some states, the burden on non-WC payers to cover health care for industrial injuries is growing, even while WC-related employer costs are decreasing-an area that warrants further research.
SUBMITTER: Sears JM
PROVIDER: S-EPMC5346499 | biostudies-literature | 2017 Apr
REPOSITORIES: biostudies-literature
Sears Jeanne M JM Bowman Stephen M SM Blanar Laura L Hogg-Johnson Sheilah S
Health services research 20160503 2
<h4>Objective</h4>To describe characteristics of industrial injury hospitalizations, and to test the hypothesis that industrial injuries were increasingly billed to non-workers' compensation (WC) payers over time.<h4>Data sources</h4>Hospitalization data for 1998-2009 from State Inpatient Databases, Healthcare Cost and Utilization Project, and Agency for Healthcare Research and Quality.<h4>Study design</h4>Retrospective secondary analyses described the distribution of payer, age, gender, race/et ...[more]