Ontology highlight
ABSTRACT: Objective
To document differences among racial/ethnic/gender groups in specialty behavioral health care (BH) utilization/expenditures; examine whether these differences are driven by probability vs intensity of treatment; and identify whether differences are explained by socioeconomic status (SES).Data source
The cohort consists of adults continuously enrolled in Optum plans with BH benefits during 2013.Study design
We modeled each outcome using linear regressions among the entire sample stratified by race/ethnicity, language and gender. Then, we estimated logistic regressions of the probability that an enrollee had any spending/use in a given service category (service penetration) and linear regressions of spending/use among the user subpopulation (treatment intensity). Lastly, all analyses were rerun with SES controls.Data collection
This study links administrative data from a managed BH organization to a commercial marketing database.Principal findings
We found that in many cases, racial/ethnic minorities had lower specialty BH expenditures/utilization, relative to whites, primarily driven by differences in service penetration. Among women, relative to whites, Asian non-English speakers, Asian English speakers, Hispanic non-English speakers, Hispanic English speakers, and blacks had $106, $95, $90, $48, and $61 less in total expenditures. SES explained racial/ethnic differences in treatment intensity but not service penetration.Conclusions
In this population, SES was not a major driver of racial/ethnic differences in specialty BH utilization. Future studies should explore the role of other factors not studied here, such as stigma, cultural competence, and geography.
SUBMITTER: Narain K
PROVIDER: S-EPMC6505415 | biostudies-literature | 2019 Jun
REPOSITORIES: biostudies-literature
Narain Kimberly K Xu Haiyong H Azocar Francisca F Ettner Susan L SL
Health services research 20190207 3
<h4>Objective</h4>To document differences among racial/ethnic/gender groups in specialty behavioral health care (BH) utilization/expenditures; examine whether these differences are driven by probability vs intensity of treatment; and identify whether differences are explained by socioeconomic status (SES).<h4>Data source</h4>The cohort consists of adults continuously enrolled in Optum plans with BH benefits during 2013.<h4>Study design</h4>We modeled each outcome using linear regressions among t ...[more]