Evidence map›Paper›PMID 27767205›Full record

ArticleHealth services research2018

Disparities in Diabetes Care Quality by English Language Preference in Community Health Centers.

Lucinda B Leung, Arturo Vargas-Bustamante, Ana E Martinez, Xiao Chen, Hector P Rodriguez

Abstract read
In one paragraph

Article in Health services research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

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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

9 citing papers in PubMed.

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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.

Lucinda B LeungVA Quality Scholars Program, Greater Los Angeles VA, Los Angeles, CA.
Arturo Vargas-BustamanteDepartment of Health Policy and Management, UCLA Fielding School of Public Health, Los Angeles, CA.
Ana E MartinezCenter for Health Policy Research, UCLA, Los Angeles, CA.
Xiao ChenCenter for Health Policy Research, UCLA, Los Angeles, CA.
Hector P RodriguezDivision of Health Policy and Management, UC Berkeley School of Public Health, Berkeley, CA.

Funding

Comparing the Effectiveness of Diabetes Care Interventions in Safety Net clinicsR18HS020120 · AHRQ · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI RODRIGUEZ, HECTOR P. · 2010 to 2010
$3.0M
AHRQ HHS R18 HS020120
6 · The paper itself

Abstract

objectiveTo conduct a parallel analysis of disparities in diabetes care quality among Latino and Asian community health center (CHC) patients by English language preference. STUDY SETTING/DATA COLLECTION: Clinical outcomes (2011) and patient survey data (2012) for Type 2 diabetes adults from 14 CHCs (n = 1,053). STUDY

designWe estimated separate regression models for Latino and Asian patients by English language preference for Clinician & Group-Consumer Assessment of Healthcare Providers and System, Patient Assessment of Chronic Illness Care, hemoglobin A1c, and self-reported hypoglycemic events. We used the Blinder-Oaxaca decomposition method to parse out observed and unobserved differences in outcomes between English versus non-English language groups. PRINCIPAL

findingsAfter adjusting for socioeconomic and health characteristics, disparities in patient experiences by English language preference were found only among Asian patients. Unobserved factors largely accounted for linguistic disparities for most patient experience measures. There were no significant differences in glycemic control by language for either Latino or Asian patients.

conclusionsGiven the importance of patient retention in CHCs, our findings indicate opportunities to improve CHC patients' experiences of care and to reduce disparities in patient experience by English preference for Asian diabetes patients.

Indexed as

LanguageAge FactorsAsianCommunity Health CentersDiabetes Mellitus, Type 2FemaleGlycated HemoglobinHealthcare DisparitiesHealth StatusHispanic or LatinoHumansMalePatient SatisfactionQuality of Health CareSex FactorsSocioeconomic FactorsGlycated Hemoglobincommunity health centersDiabeteslimited English proficiencyracial-ethnic disparities

Identifiers

PMID27767205
PMCPMC5785318

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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.