Evidence map›Paper›PMID 30116096›Full record

ArticleEthnicity & disease2018

Anti-Racism Methods for Big Data Research: Lessons Learned from the HIV Testing, Linkage, & Retention in Care (HIV TLR) Study.

Chandra L Ford, Lois M Takahashi, P Paul Chandanabhumma, Maria Elena Ruiz, William E Cunningham

Abstract read
In one paragraph

Article in Ethnicity & disease, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
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  5. Whose Knowledge Heals? Transforming Teaching in the Struggle for Health Equity.Health education & behavior : the official publication of the Society for Public Health Education · 2023
    Article
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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.

Chandra L FordCenter for the Study of Racism, Social Justice & Health, Fielding School of Public Health at UCLA, Los Angeles, CA.
Lois M TakahashiCenter for the Study of Racism, Social Justice & Health, Fielding School of Public Health at UCLA, Los Angeles, CA.
P Paul ChandanabhummaCenter for the Study of Racism, Social Justice & Health, Fielding School of Public Health at UCLA, Los Angeles, CA.
Maria Elena RuizCenter for the Study of Racism, Social Justice & Health, Fielding School of Public Health at UCLA, Los Angeles, CA.
William E CunninghamCenter for the Study of Racism, Social Justice & Health, Fielding School of Public Health at UCLA, Los Angeles, CA.

Funding

UCLA Rapid, Relevant, Rigorous Implementation Science HubP30MH058107 · NIMH · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI RAPHAEL J LANDOVITZ · 1997 to 2026
$53.5M
Training Program for Scientists Conducting Research to Reduce HIV Health DisparitR25MH067127 · NIMH · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Emily A Arnold, Torsten Brian Neilands · 2003 to 2026
$5.4M
HIV Testing, Linkage and Retention in Care: Contextual Factors and DisparitiesR01NR014789 · NINR · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI FORD, CHANDRA L · 2014 to 2017
$1.5M
NIMHD NIH HHS L60 MD001896NIMH NIH HHS P30 MH058107NIMH NIH HHS R25 MH067127NINR NIH HHS R01 NR014789
6 · The paper itself

Abstract

Public Health Critical Race Praxis (PHCRP) contributes three functional elements to health equity studies: a race conscious orientation; an antiracism lexicon based on Critical Race Theory (CRT); and an integrated, reflexive approach. Few big data studies employ all three functional elements. Therefore, this article describes the application of PHCRP to the

Indexed as

Big DataPublic HealthEthnicityHealth EquityHIV InfectionsHumansPsychology, SocialRacismResearch DesignRetention in CareBig DataCritical Race TheoryElectronic Medical RecordsHealth Services ResearchMethodsSocial Epidemiology

Identifiers

PMID30116096
PMCPMC6092168

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.