Evidence map›Paper›PMID 38756925›Full record

ArticleHealth affairs scholar2024

Unmet need for mental health care is common across insurance market segments in the United States.

Mark K Meiselbach, Catherine K Ettman, Karen Shen, Brian C Castrucci, Sandro Galea

Abstract read
In one paragraph

Article in Health affairs scholar, 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
  2. Article
  3. Article
  4. 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

5 authors.

Mark K MeiselbachDepartment of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, United States.ORCID https://orcid.org/0000-0003-3583-5588
Catherine K EttmanDepartment of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, United States.ORCID https://orcid.org/0000-0002-4827-5383
Karen ShenDepartment of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, United States.
Brian C CastrucciDe Beaumont Foundation, Bethesda, MD 20814, United States.
Sandro GaleaBoston University School of Public Health, Boston, MA 02118, United States.ORCID https://orcid.org/0000-0002-7534-0945

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A substantial proportion of individuals with depression in the United States do not receive treatment. While access challenges for mental health care have been documented, few recent estimates of unmet mental health needs across insurance market segments exist. Using nationally representative survey data with participant-reported depression symptom severity and mental health care use collected in Spring 2023, we assessed access to mental health care among individuals with similar levels of depression symptom severity with commercial, Medicare, Medicaid, and no insurance. Among individuals who reported symptoms consistent with moderately severe to severe depression, 37.8% did not have a diagnosis for depression (41.0%, 28.1%, 33.6%, and 56.3% with commercial, Medicare, Medicaid, and no insurance), 51.9% did not see a mental health specialist (49.7%, 51.7%, 44.9%, and 91.8%), and 32.4% avoided mental health care due to affordability in the past 12 months (30.2%, 34.0%, 21.1%, and 54.8%). There was substantial unmet need for mental health treatment in all insurance market segments, but especially among individuals without insurance.

Indexed as

health insurancemental healthmental health accessunmet health need

Identifiers

PMID38756925
PMCPMC10986235

What OpenQuestion holds

Textmetadata
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.