Evidence map›Paper›PMID 38794888›Full record

ArticleAmerican journal of epidemiology2024

Assessing mental health treatment receipt among Asian adults with limited English proficiency using an intersectional approach.

Charlie H Nguyễn, Lorraine T Dean, John W Jackson

Abstract read
In one paragraph

Article in American journal of epidemiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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

4 citing papers in PubMed.

  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

3 authors.

Charlie H NguyễnDepartment of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD 21205, United States.ORCID 0000-0002-0650-1004
Lorraine T DeanDepartment of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD 21205, United States.ORCID 0000-0002-2272-2755
John W JacksonDepartment of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD 21205, United States.ORCID 0000-0002-1528-7003

Funding

Why Place MattersU54MD000214 · NIMHD · JOHNS HOPKINS UNIVERSITY · PI THORPE, ROLAND J. · 2017 to 2022
$8.8M
Examining the Impact, Pathways, and Cost of County-Level Structural Racism on Hypertension Disparities in Black and White US AdultsR01HL164116 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI DEAN, LORRAINE TIERA, DOUGHERTY, GEOFFREY · 2022 to 2025
$2.1M
Systems Science for Translational Health Disparities ResearchK01HL145320 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI JACKSON, JOHN WILLIAM · 2019 to 2023
$832k
National Institute on Minority Health and Health Disparities of the National Institutes of Health U54MD000214NHLBI NIH HHS K01 HL145320NHLBI NIH HHS K01HL145320NHLBI NIH HHS R01 HL164116NHLBI NIH HHS R01HL164116NIMHD NIH HHS U54 MD000214
6 · The paper itself

Abstract

US Asian adults and people with limited English proficiency (LEP) confront mental health treatment receipt disparities. At the intersection of racial and language injustice, Asian adults with LEP may face even greater disparity, but studies have not assessed this through explicitly intersectional approaches. Using 2019 and 2020 National Survey of Drug Use and Health data, we computed disparities in mental health treatment among those with mental illness comparing: non-Hispanic (NH) Asian adults with LEP to NH White adults without LEP (joint disparity), NH Asian adults without LEP to NH White adults without LEP (referent race disparity), NH Asian adults with LEP to those without LEP (referent LEP disparity), and the joint disparity versus the sum of referent disparities (excess intersectional disparity). In age- and gender-adjusted analyses, excess intersectional disparity was 26.8% (95% CI, -29.8 to 83.4) of the joint disparity in 2019 and 63.0% (95% CI, 29.1-96.8) in 2020. The 2019 joint disparity was 1.37 (95% CI, 0.31-2.42) times that if the race-related disparity did not vary by LEP, and if LEP-related disparity did not vary by race; this figure was 2.70 (95% CI, 0.23-5.17) in 2020. These findings highlight the necessity of considering the intersection of race and LEP in addressing mental health treatment disparities. This article is part of a Special Collection on Mental Health.

Indexed as

AsianHealthcare DisparitiesLimited English ProficiencyMental DisordersAdolescentAdultAgedFemaleHumansMaleMental Health ServicesMiddle AgedUnited StatesWhiteYoung AdultAsian AmericansdisparityintersectionalityLEP

Identifiers

PMID38794888
PMCPMC11458187

What OpenQuestion holds

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Registered trials

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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.