Evidence map›Paper›PMID 27180702›Full record

ArticleJournal of health care for the poor and underserved2016

Measuring Geographic "Hot Spots" of Racial/Ethnic Disparities: An Application to Mental Health Care.

Benjamin L Cook, Giyeon Kim, Kari Lock Morgan, Chih-Nan Chen, Anna Nillni, Margarita Alegría

Abstract read
In one paragraph

Article in Journal of health care for the poor and underserved, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 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

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. 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

6 authors.

Benjamin L Cook
Giyeon Kim
Kari Lock Morgan
Chih-Nan Chen
Anna Nillni
Margarita Alegría

Funding

UPR-CHA Research Center of Excellence: Making a Difference for Latino HealthP60MD002261 · NIMHD · UNIVERSITY OF PUERTO RICO MED SCIENCES · PI CANINO, GLORISA J · 2007 to 2011
$8.7M
Comparative Effectiveness Research Diffusion and Mental Health Care DisparitiesR01HS021486 · AHRQ · CAMBRIDGE HEALTH ALLIANCE · PI COOK, BENJAMIN LE · 2013 to 2015
$725k
Disparities in Mental Health Care: Age, Race/Ethnicity, and Geography EffectsK01AG045342 · NIA · UNIVERSITY OF ALABAMA IN TUSCALOOSA · PI KIM, GIYEON · 2013 to 2016
$468k
AHRQ HHS R01 HS021486NIA NIH HHS K01 AG045342NIMHD NIH HHS P60 MD002261
6 · The paper itself

Abstract

This article identifies geographic "hot spots" of racial/ethnic disparities in mental health care access. Using data from the 2001-2003 Collaborative Psychiatric Epidemiology Surveys(CPES), we identified metropolitan statistical areas(MSAs) with the largest mental health care access disparities ("hot spots") as well as areas without disparities ("cold spots"). Racial/ethnic disparities were identified after adjustment for clinical need. Richmond, Virginia and Columbus, Georgia were found to be hot spots for Black-White disparities, regardless of method used. Fresno, California and Dallas, Texas were ranked as having the highest Latino-White disparities and Riverside, California and Houston, Texas consistently ranked high in Asian-White mental health care disparities across different methods. We recommend that institutions and government agencies in these "hot spot" areas work together to address key mechanisms underlying these disparities. We discuss the potential and limitations of these methods as tools for understanding health care disparities in other contexts.

Indexed as

EthnicityHealthcare DisparitiesMental HealthMental Health ServicesCaliforniaGeorgiaHealth Services AccessibilityHispanic or LatinoHumansTexasVirginiaWhite People

Identifiers

PMID27180702
PMCPMC7598772

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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.