Evidence map›Paper›PMID 40895171›Full record

ArticlePLOS mental health2025

Impact of insurance type on outpatient mental health treatment of US adults.

Lydia A Chwastiak, Scott Graupensperger, Heather Ringeisen, Mark Edlund, Heidi Guyer, Natalie Bareis, Maria Monroe-Devita, Lisa Dixon, Scott Stroup, Jeffrey Swanson and 5 more

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. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  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

15 authors.

Lydia A ChwastiakDepartment of Psychiatry and Behavioral Sciences, University of Washington School of Medicine, Seattle, Washington, United States of America.ORCID 0000-0003-4159-7934
Scott GraupenspergerDepartment of Psychiatry and Behavioral Sciences, University of Washington School of Medicine, Seattle, Washington, United States of America.ORCID 0000-0002-8655-1190
Heather RingeisenRTI International, Research Triangle Park, North Carolina, United States of America.ORCID 0000-0002-0763-3199
Mark EdlundRTI International, Research Triangle Park, North Carolina, United States of America.
Heidi GuyerRTI International, Research Triangle Park, North Carolina, United States of America.
Natalie BareisDepartment of Psychiatry, Columbia University School of Medicine, New York State Psychiatric Institute, New York, New York, United States of America.ORCID 0000-0002-9067-2075
Maria Monroe-DevitaDepartment of Psychiatry and Behavioral Sciences, University of Washington School of Medicine, Seattle, Washington, United States of America.
Lisa DixonDepartment of Psychiatry, Columbia University School of Medicine, New York State Psychiatric Institute, New York, New York, United States of America.
Scott StroupDepartment of Psychiatry, Columbia University School of Medicine, New York State Psychiatric Institute, New York, New York, United States of America.
Jeffrey SwansonDepartment of Psychiatry and Behavioral Sciences, Duke University School of Medicine, Durham, North Carolina, United States of America.
Marvin SwartzDepartment of Psychiatry and Behavioral Sciences, Duke University School of Medicine, Durham, North Carolina, United States of America.ORCID 0000-0002-1111-9299
Elizabeth Sinclair HancqTreatment Advocacy Center, Arlington, Virginia, United States of America.ORCID 0000-0002-1500-0674
Robert GibbonsDepartment of Public Health Sciences, University of Chicago, Chicago, Illinois, United States of America.
Ronald C KesslerDepartment of Health Care Policy, Harvard Medical School, Boston, Massachusetts, United States of America.
Mark OlfsonDepartment of Psychiatry, Columbia University School of Medicine, New York State Psychiatric Institute, New York, New York, United States of America.ORCID 0000-0002-3958-5662

Funding

Machine Learning for Precision Treatments in SchizophreniaK23MH129628 · NIMH · NEW YORK STATE PSYCHIATRIC INSTITUTE DBA RESEARCH FOUNDATION FOR MENTAL HYGIENE, INC · PI BAREIS, NATALIE · 2022 to 2025
$782k
NIMH NIH HHS K23 MH129628
6 · The paper itself

Abstract

The mental health treatment gap in the US continues to be a major public health challenge. Even individuals with health insurance face substantial barriers to care, including high costs, insufficient coverage and inaccurate provider directories. Policies to address the treatment gap require updated population-based information about whether treatment rates vary by type of insurance. The current study aimed to compare past-year outpatient mental health treatment across insurance types (private, Medicare, Medicaid, other, or none), in the household sample of non-elderly adults in the Mental and Substance Use Disorder Prevalence Study (MDPS), (n = 4,640). MDPS, fielded October 2020 through October 2022, identified 12-month prevalence of mental disorders and rates of treatment among US adults from interviews by trained clinicians using the Structured Clinical Interview for DSM-5. Logistic regressions estimated odds of treatment among participants with a past-year MDPS diagnosis across insurance types, after adjusting for age, sex, race/ethnicity, income level, diagnosis, and functional impairment. Analyses were weighted to reflect the US adult population. 60.2% of the 1,833 participants with an MDPS mental disorder received outpatient treatment in the past year. Compared to participants with private insurance, those with no insurance had lower odds of outpatient treatment (AOR = 0.37 [0.16-0.87]). Participants with Medicare had higher odds of treatment (AOR = 4.25 [1.56-11.64]), suggesting that individuals with complex and disabling illness were least likely to have treatment disruptions during the early phases of the pandemic. Differences between groups decreased as the pandemic progressed, but utilization of services only significantly increased among individuals with private insurance. Persisting mental health treatment gaps in the US vary by type of health insurance, which warrants extensive policy reforms.

Identifiers

PMID40895171
PMCPMC12392154

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.