Evidence map›Paper›PMID 25144702›Full record

ArticleSocial work in public health2014

Disaggregating race and ethnicity in chronic health conditions: implications for public health social work.

Shauna K Carlisle

Abstract read
In one paragraph

Article in Social work in public health, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

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

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

  1. Pooled it
  2. Article
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  6. Review
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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

1 author.

Shauna K Carlislea School of Interdisciplinary Arts and Sciences, University of Washington Bothell , Bothell , Washington , USA.

Funding

Methods and Data CoreR24HD042828 · NICHD · UNIVERSITY OF WASHINGTON · PI CURRAN, SARA R. · 2002 to 2016
$9.3M
Scientific/Technical CoreP2CHD042828 · NICHD · UNIVERSITY OF WASHINGTON · PI SARA R. CURRAN · 2017 to 2026
$6.3M
NICHD NIH HHS P2C HD042828NICHD NIH HHS R24 HD042828
6 · The paper itself

Abstract

This study examines the ethnic subgroup variation in chronic health by comparing self-reports of chronic conditions across diverse ethnic subgroups of Asian American (Vietnamese, Filipino, Chinese), Latino American (Cuban, Portuguese, Mexican), and African Caribbean (Haitian, Jamaican, Trinidadian/Tobagonian) respondents. This analysis utilizes linked data from the Collaborative Psychiatric Epidemiology Surveys (CPES). Logistic regression revealed significant subgroup differences in reports of chronic respiratory, cardiovascular, and pain conditions across nine ethnic subgroups masked by racial categorization. Findings suggest that precautions must be taken by public health social workers as there may be far more ethnic heterogeneity than is apparent among broad racial categories.

Indexed as

Public Health PracticeSocial WorkAdultCardiovascular DiseasesChronic DiseaseChronic PainFemaleHumansMaleMental DisordersPrevalenceRespiratory Tract DiseasesUnited StatesCaribbeanchronic healthethnic subgroupshealth disparities

Identifiers

PMID25144702
PMCPMC11699974

What OpenQuestion holds

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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.