Evidence map›Paper›PMID 29385953›Full record

ArticlePsychiatric services (Washington, D.C.)2018

Behavioral Health Treatment Patterns Among Employer-Insured Adults in Same- and Different-Gender Marriages and Domestic Partnerships.

Linda Diem Tran, Haiyong Xu, Francisca Azocar, Susan L Ettner

Open access · bronzeAbstract read
In one paragraph

Article in Psychiatric services (Washington, D.C.), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 37% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. Article
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 1 institution in 1 country.

Linda Diem TranMs. Tran is with the Department of Health Policy and Management, Jonathan and Karin Fielding School of Public Health, and Dr. Xu and Dr. Ettner are with the Division of General Internal Medicine and Health Services Research, David Geffen School of Medicine, all at the University of California, Los Angeles. Dr. Azocar is with OptumHealth Behavioral Solutions, San Francisco.
Haiyong XuMs. Tran is with the Department of Health Policy and Management, Jonathan and Karin Fielding School of Public Health, and Dr. Xu and Dr. Ettner are with the Division of General Internal Medicine and Health Services Research, David Geffen School of Medicine, all at the University of California, Los Angeles. Dr. Azocar is with OptumHealth Behavioral Solutions, San Francisco.
Francisca AzocarMs. Tran is with the Department of Health Policy and Management, Jonathan and Karin Fielding School of Public Health, and Dr. Xu and Dr. Ettner are with the Division of General Internal Medicine and Health Services Research, David Geffen School of Medicine, all at the University of California, Los Angeles. Dr. Azocar is with OptumHealth Behavioral Solutions, San Francisco.
Susan L EttnerMs. Tran is with the Department of Health Policy and Management, Jonathan and Karin Fielding School of Public Health, and Dr. Xu and Dr. Ettner are with the Division of General Internal Medicine and Health Services Research, David Geffen School of Medicine, all at the University of California, Los Angeles. Dr. Azocar is with OptumHealth Behavioral Solutions, San Francisco.
Department of Health Services · US

Funding

NRSA Training CoreTL1TR001883 · NCATS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI ALEX BUI, Nina Thawata Harawa · 2016 to 2026
$8.6M
UCLA Clinical and Translational Science InstituteTL1TR000121 · NCATS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI DUBINETT, STEVEN M. · 2012 to 2015
$2.7M
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
NCATS NIH HHS TL1 TR000121NCATS NIH HHS TL1 TR001883NIDA NIH HHS R01 DA032619
6 · The paper itself

Abstract

objectiveThis study examined specialty behavioral health treatment patterns among employer-insured adults in same- and different-gender domestic partnerships and marriages.

methodsThe study used behavioral health service claims (2008-2013) from Optum to estimate gender-stratified penetration rates of behavioral health service use by couple type and partnership status among partnered adults ages 18-64 (N=12,727,292 person-years) and levels of use among those with any use (conditional analyses). Least-squares, logistic, and zero-truncated negative binomial regression analyses adjusted for age, employer and plan characteristics, and provider supply and for sociodemographic factors in sensitivity analyses. Generalized estimating equations were used to address within-group correlation of adults clustered in employer groups.

resultsBoth women and men in same-gender marriages or domestic partnerships had higher rates of behavioral health service use, particularly diagnostic evaluation, individual psychotherapy, and medication management, and those in treatment had, on average, more psychotherapy visits than those in different-gender marriages. Behavioral health treatment patterns were similar between women in same-gender domestic partnerships and same-gender marriages, but they diverged between men in same-gender domestic partnerships and same-gender marriages. Moderation analysis results indicated that adults with same-gender partners living in states with fewer legal protections for lesbian, gay, bisexual, and transgender persons were less likely than adults with same-gender partners in LGBT-friendly states to receive behavioral health treatment. Sensitivity analyses did not affect findings.

conclusionsBehavioral health treatment patterns varied by couple type, partnership status, and gender. Results highlight the importance of increasing service acceptability and delivering inclusive, culturally relevant behavioral health treatment for lesbian, gay, and bisexual persons.

Indexed as

AdolescentAdultEmploymentFemaleHumansInsurance, HealthMaleMarriageMental Health ServicesMiddle AgedSex FactorsSexual and Gender MinoritiesSexualitySpousesUnited StatesYoung AdultBehavioral health services, Public policy issues, HomosexualityUtilization patterns

Identifiers

PMID29385953
PMCPMC5930123
OpenAlexW2790308391

What OpenQuestion holds

Textmetadata
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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.