Evidence map›Paper›PMID 29877136›Full record

ReviewMedical care research and review : MCRR2019

A Review of Mental Health and Mental Health Care Disparities Research: 2011-2014.

Benjamin Lê Cook, Sherry Shu-Yeu Hou, Su Yeon Lee-Tauler, Ana Maria Progovac, Frank Samson, Maria Jose Sanchez

Abstract readReview
In one paragraph

Review in Medical care research and review : MCRR, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 77 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
77citing papers in PubMed, 2 pooled it
–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

77 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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17 more citing papers are in PubMed but not listed here.

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

6 authors.

Benjamin Lê CookCambridge Health Alliance, Cambridge, MA, USA.ORCID 0000-0003-0135-0806
Sherry Shu-Yeu HouCambridge Health Alliance, Cambridge, MA, USA.
Su Yeon Lee-TaulerUniformed Services University of the Health Sciences, North Bethesda, MD, USA.
Ana Maria ProgovacCambridge Health Alliance, Cambridge, MA, USA.
Frank SamsonCambridge Health Alliance, Cambridge, MA, USA.
Maria Jose SanchezCambridge Health Alliance, Cambridge, MA, USA.

Funding

Understanding Mechanisms of Mental Health Care DisparitiesR01MH091042 · NIMH · CAMBRIDGE HEALTH ALLIANCE · PI COOK, BENJAMIN LE · 2010 to 2012
$986k
NIMH NIH HHS R01 MH091042
6 · The paper itself

Abstract

Racial/ethnic minorities in the United States are more likely than Whites to have severe and persistent mental disorders and less likely to access mental health care. This comprehensive review evaluates studies of mental health and mental health care disparities funded by the National Institute of Mental Health (NIMH) to provide a benchmark for the 2015 NIMH revised strategic plan. A total of 615 articles were categorized into five pathways underlying mental health care and three pathways underlying mental health disparities. Identified studies demonstrate that socioeconomic mechanisms and demographic moderators of disparities in mental health status and treatment are well described, as are treatment options that support diverse patient needs. In contrast, there is a need for studies that focus on community- and policy-level predictors of mental health care disparities, link discrimination- and trauma-induced neurobiological pathways to disparities in mental illness, assess the cost effectiveness of disparities reduction programs, and scale up culturally adapted interventions.

Indexed as

Mental DisordersMental Health ServicesMinority GroupsRacial GroupsFemaleHealthcare DisparitiesHumansMaleSocioeconomic Factorsdisparitiesmental healthmental health treatment

Identifiers

PMID29877136
PMCPMC12714030

What OpenQuestion holds

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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.