Evidence map›Paper›PMID 41694706›Full record

ArticleClinical practice and epidemiology in mental health : CP & EMH2025

Prevalence of Mild to Moderate Mental Illness, Correlates of Treatment Patterns, and Perceived Unmet Need among U.S. Adults: Results from the National Survey on Drug Use and Health, 2021.

Valerie L Forman-Hoffman, Megan Flom, Andre Williams, Timothy Mariano

Abstract read
In one paragraph

Article in Clinical practice and epidemiology in mental health : CP & EMH, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

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

4 authors.

Valerie L Forman-HoffmanWoebot Health, San Francisco, CA, USA.ORCID 0000-0001-7885-8873
Megan FlomWoebot Health, San Francisco, CA, USA.ORCID 0000-0002-4896-1009
Andre WilliamsWoebot Health, San Francisco, CA, USA.ORCID 0000-0002-6782-4165
Timothy MarianoWoebot Health, San Francisco, CA, USA.ORCID 0000-0001-5526-1564

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Mental health issues continue to affect millions despite the availability of evidence-based treatment. The burden of illness and associated characteristics of mild to moderate mental illness (MMMI) among community-dwelling U.S. adults has not been reported in the peer-reviewed literature to date. Methods: Analyses of the cross-sectional 2021 National Survey on Drug Use and Health (NSDUH) conducted across the U.S. allowed for the estimation of the prevalence and correlates of MMMI as well as of the overall and virtual treatment landscape, perceived unmet need, and barriers to care. Results: Nearly 44 million community-dwelling U.S. adults (17.2%), about 1 in 6, are estimated to have past-year MMMI, of whom 41.3% report mental health treatment receipt. Over 62% of those who received mental health treatment did so virtually. Discussion: MMMI commonly affected U.S. adults; a majority are not getting treatment. Several correlates of MMMI and treatment receipt might point to demographic and clinical groups in need to additional services. Conclusion: This study is the first of its kind to report nationally representative estimates and correlates of MMMI among community-dwelling U.S. adults. Despite the widespread use of virtual services when accessing mental health treatment, findings suggest the need for access to low-cost, easily accessible, on-demand mental health services to better serve adults with MMMI.

Indexed as

Barriers to careCorrelatesEpidemiologyMental health prevalenceMild to moderate mental illnessPandemic

Identifiers

PMID41694706
PMCPMC12895429

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.