Evidence map›Paper›PMID 38300125›Full record

ArticleAlcohol, clinical & experimental research2024

Intersectional disparities in outpatient alcohol treatment completion by gender and race and ethnicity.

Joanne Delk, Kara Bensley, Yu Ye, Meenakshi S Subbaraman, Aryn Z Phillips, Katherine J Karriker-Jaffe, Nina Mulia

Open access · greenAbstract read
In one paragraph

Article in Alcohol, clinical & experimental research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
4.3field-weighted citation impact, top 5% 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

6 citing papers in PubMed, 11 citations in OpenAlex.

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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

7 authors at 4 institutions in 1 country.

Joanne DelkAlcohol Research Group, Emeryville, California, USA.ORCID https://orcid.org/0000-0002-1778-7415
Kara BensleyAlcohol Research Group, Emeryville, California, USA.
Yu YeAlcohol Research Group, Emeryville, California, USA.
Meenakshi S SubbaramanBehavioral Health, and Recovery Studies, Public Health Institute, Oakland, California, USA.ORCID https://orcid.org/0000-0002-1336-7552
Aryn Z PhillipsDepartment of Health Policy and Management, University of Maryland School of Public Health, College Park, Maryland, USA.
Katherine J Karriker-JaffeRTI International, Berkeley, California, USA.ORCID https://orcid.org/0000-0002-2019-0222
Nina MuliaAlcohol Research Group, Emeryville, California, USA.ORCID https://orcid.org/0000-0002-5847-9697
Alcohol Research Group · USDepartment of Health Services · USInternational Computer Science Institute · USPublic Health Institute · US

Funding

TREND &STRUCTURE OF ALCOHOL DEPENDENCE--GENERAL POPULATION 1990 SURVEY DATAP50AA005595 · NIAAA · WESTERN CONSORTIUM FOR PUBLIC HEALTH · PI LUI, CAMILLIA K. · 1985 to 2025
$34.1M
RESEARCH TRAINING IN CVD EPIDEMIOLOGY AND PREVENTIONT32HL069771 · NHLBI · NORTHWESTERN UNIVERSITY AT CHICAGO · PI Mercedes Renee Carnethon · 2003 to 2026
$5.9M
Supplement for Cloud Computing: Alcohol Use Disorder Treatment SimulationR01AA029812 · NIAAA · RESEARCH TRIANGLE INSTITUTE · PI Katherine J. Karriker-Jaffe · 2022 to 2026
$4.1M
NHLBI NIH HHS T32 HL069771NIAAA NIH HHS P50 AA005595NIAAA NIH HHS P50AA005595NIAAA NIH HHS R01 AA029812NIAAA NIH HHS R01AA029812NIAAA NIH HHS T32HL069771
6 · The paper itself

Abstract

backgroundUntreated alcohol use disorder (AUD) can have negative outcomes, including premature death. Completing specialty treatment for AUD can improve economic and educational outcomes. However, there are large racial and ethnic disparities in treatment completion, and how these disparities vary intersectionally (e.g., by gender and race and ethnicity) is unknown. Recent studies suggest that not using an intersectional approach can mask important disparities. We estimated disparities in AUD nonintensive outpatient treatment completion by gender alone, race and ethnicity alone, and intersectionally in a gender-by-race-and-ethnicity model. Accurately quantifying treatment completion disparities is critical not only for understanding healthcare disparities but reducing them to advance health equity.

methodsData are from SAMHSA's 2017 to 2019 Treatment Episode Dataset-Discharges for adults aged 18+ who entered nonintensive outpatient treatment primarily for alcohol (n = 559,447 episodes; 30.3% women; 63.7% White, 18.0% Black, 14.4% Hispanic/Latinx, 2.1% American Indian/Alaska Native [AIAN], 1.0% Asian/Pacific Islander). Using the rank-and-replace method, treatment completion disparities were estimated by gender, race and ethnicity, and gender-by-race-and-ethnicity due to any reason other than differences in need for treatment, consistent with the Institute of Medicine's definition of a healthcare disparity.

resultsThe intersectional gender-by-race-and-ethnicity model identified the widest range of disparities among all models tested. Using this model, the largest disparities were identified for minoritized women's treatment episodes. Compared to White men whose completion rate was 60.79% (95% confidence interval [CI]: 60.06, 60.98), Black, Hispanic/Latina, AIAN, and Asian-American/Pacific Islander women had treatment episode completion rates that were 12.35 (CI: 12.33, 12.37), 9.08 (CI: 9.06, 9.11), 10.27 (CI: 10.22, 10.32), and 4.87 (CI: 4.78, 4.95) percentage points lower, respectively.

conclusionsIn the United States, treatment completion rates for non-intensive outpatient alcohol treatment episodes are significantly lower for minoritized women than White men. The extent of the disparity is not apparent in univariate models, highlighting the importance of an intersectional approach to understanding disparities in the completion of non-intensive outpatient treatment for AUD.

Indexed as

alcohol treatmenthealthcare disparitiesintersectionalityminoritized womenracial and ethnic disparities

Identifiers

PMID38300125
PMCPMC10922739
OpenAlexW4391433159

What OpenQuestion holds

Textmetadata
LicenceTDM
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.