Evidence map›Paper›PMID 41662042›Full record

ArticlePLOS mental health2025

Disparities in mental health service utilization among adolescents with depression: Results from a 2022 U.S. National Survey.

Su Chen Tan, Kaylynn Hunt, Brittany Shelton

Abstract read
In one paragraph

Article in PLOS mental health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Su Chen TanNSF Center for Analysis and Prediction of Pandemic Expansion, The University of Tennessee, Knoxville, Tennessee, United States of America.ORCID https://orcid.org/0009-0009-8772-3706
Kaylynn HuntDepartment of Public Health, The University of Tennessee, Knoxville, Tennessee, United States of America.
Brittany SheltonDepartment of Public Health, The University of Tennessee, Knoxville, Tennessee, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The prevalence of adolescent depression has increased following the COVID-19 pandemic, and adolescent depression is often under-treated. The emergence of new barriers resulting from the COVID-19 pandemic limited existing efforts to address pre-existing inequalities in appropriate mental health treatment utilization. We analyzed data from adolescents with major depressive episode (MDE) in the 2022 U.S. National Survey on Drug Use and Health to examine mental health service utilization by rurality, race/ethnicity, gender, age, health insurance coverage, and poverty level. We applied analytic weights to estimate nationally representative estimates and account for survey nonresponse. Multivariate logistic regression identified significant disparities in the use of mental health services. The 2022 NSDUH assessed adolescent MDE based on past-year self-reported depressive symptoms based on the Diagnostic and Statistical Manual of Mental Disorders (DSM-IV) criteria. Among the 19.2% of adolescents aged 12-17 who experienced MDE, only 47.5% received treatment within the past year. Adolescents in rural areas had significantly lower odds of receiving specialist treatment compared to their urban counterparts [adjusted odds ratio (AOR) 0.64 (95% confidence interval (CI) 0.47-0.87)]. Odds of receiving telehealth services were significantly lower for rural adolescents [AOR 0.64 (95% CI 0.44-0.93)] but were significantly higher for adolescents with insurance (public insurance [AOR 2.99 (95% CI 1.10-8.14)] and private insurance [AOR 3.82 (95% CI 1.39-10.49)]). Older adolescents had lower odds of utilizing school-based services than younger adolescents [AOR 0.52 (95% CI 0.38-0.71)]. Females had greater odds and Black adolescents significantly lower odds of utilizing any mental health treatment relative to males and non-Hispanic White adolescents, respectively [Females: AOR 1.59 (95% CI 1.11-2.28); Black: AOR 0.36 (95% CI 0.22-0.59)]. Our findings continue to illustrate the persisting inequity in mental health treatment among adolescents from marginalized groups amidst the COVID-19 pandemic. Tailored strategies to address these inequities are needed.

Identifiers

PMID41662042
PMCPMC12798591

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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.