Ontology highlight
ABSTRACT: Objective
To examine the patterns of insurance coverage among nine Latino subgroups and assess heterogeneous effects of the Affordable Care Act (ACA) among these groups.Data sources
American Community Survey (2010-2014).Study design
We examined pre-ACA disparities in coverage using linear probability models. Then, we used interrupted time series and triple-difference models to evaluate coverage changes associated with the ACA and Medicaid expansion, respectively.Principal findings
Pre-ACA coverage disparities between Latino subgroups were nearly 30 percentage points-larger than the gap between whites and Latinos as a whole. Coverage changes associated with the ACA and Medicaid expansion differed significantly between subgroups, with the largest gains among South Americans, Central Americans, and Mexicans.Conclusions
Latino subgroups show marked heterogeneity in baseline coverage rates and responses to the ACA.
SUBMITTER: Gonzales S
PROVIDER: S-EPMC5980375 | biostudies-literature | 2018 Jun
REPOSITORIES: biostudies-literature
Gonzales Sergio S Sommers Benjamin D BD
Health services research 20170628 3
<h4>Objective</h4>To examine the patterns of insurance coverage among nine Latino subgroups and assess heterogeneous effects of the Affordable Care Act (ACA) among these groups.<h4>Data sources</h4>American Community Survey (2010-2014).<h4>Study design</h4>We examined pre-ACA disparities in coverage using linear probability models. Then, we used interrupted time series and triple-difference models to evaluate coverage changes associated with the ACA and Medicaid expansion, respectively.<h4>Princ ...[more]