Evidence map›Paper›PMID 30734279›Full record

ArticleHealth services research2019

Racial/ethnic disparities in specialty behavioral health care treatment patterns and expenditures among commercially insured patients in managed behavioral health care plans.

Kimberly Narain, Haiyong Xu, Francisca Azocar, Susan L Ettner

Open access · bronzeAbstract read
In one paragraph

Article in Health services research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.6field-weighted citation impact, top 17% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 3 institutions in 1 country.

Kimberly NarainDivision of General Internal Medicine and Health Services Research, Department of Medicine, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, California.ORCID 0000-0001-8548-1728
Haiyong XuDivision of General Internal Medicine and Health Services Research, Department of Medicine, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, California.
Francisca AzocarOptum®, UnitedHealth Group, San Francisco, California.
Susan L EttnerDivision of General Internal Medicine and Health Services Research, Department of Medicine, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, California.ORCID 0000-0001-9445-8917
Los Angeles County Department of Health Services · USLos Angeles County Department of Public Health · USOptum (United States) · US

Funding

Parity and Addiction Act: Impact on Benefits, Use and CostsR01DA032619 · NIDA · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI ETTNER, SUSAN LOUISE · 2012 to 2015
$2.2M
NIDA NIH HHS 1R01DA032619-01NIDA NIH HHS R01 DA032619
6 · The paper itself

Abstract

objectiveTo 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

designWe 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

findingsWe 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.

conclusionsIn 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.

Indexed as

AdolescentAdultEthnicityFemaleHealthcare DisparitiesHealth ExpendituresHumansInsurance CoverageInsurance, HealthLanguageMaleManaged Care ProgramsMental Health ServicesMiddle AgedMinority GroupsPatient Acceptance of Health Carebehavioral health careracial/ethnic disparities

Identifiers

PMID30734279
PMCPMC6505415
OpenAlexW2911476313

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.