Evidence map›Paper›PMID 27761520›Full record

ArticleStigma and health2016

Assessing Stigma among African Americans Living with HIV.

Deepa Rao, Yamile Molina, Nina Lambert, Susan E Cohn

Open access · hybridAbstract read
In one paragraph

Article in Stigma and health, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
3.6field-weighted citation impact, top 7% of its field
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

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 39 citations in OpenAlex.

  1. Pooled it
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  4. Stigma Reduction Among African American Women With HIV: UNITY Health Study.Journal of acquired immune deficiency syndromes (1999) · 2018
    Trial
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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

4 authors at 2 institutions in 1 country.

Deepa RaoDepartment of Global Health, University of Washington, Seattle Washington.
Yamile MolinaHealth Services Department, University of Washington, Seattle, Washington.
Nina LambertDivision of Infectious Diseases, Department of Medicine, Northwestern University, Chicago, Illinois.
Susan E CohnDivision of Infectious Diseases, Department of Medicine, Northwestern University, Chicago, Illinois.
Northwestern University · USUniversity of Washington · US

Funding

Reducing HIV Stigma to Improve Health Outcomes for African-American WomenR01MH098675 · NIMH · UNIVERSITY OF WASHINGTON · PI RAO, DEEPA · 2012 to 2016
$2.6M
Self Stigma Reduction for African Americans Living with HIV/AIDSK23MH084551 · NIMH · UNIVERSITY OF WASHINGTON · PI RAO, DEEPA · 2008 to 2012
$580k
NIMH NIH HHS K23 MH084551NIMH NIH HHS R01 MH098675
6 · The paper itself

Abstract

purposeIn the present study, we validated a culturally adapted stigma scale designed to assess stigma among African Americans living with HIV.

methodsWe collected data on the scale using an audio computer assisted self-interview (ACASI) format. We validated the scale with a sample of 62 African American participants living with HIV.

resultsFindings demonstrated that stigma can be measured succinctly and effectively in a 14-item scale with two subscales measuring enacted and internalized stigma. DISCUSSION: We identified many advantages to using the scale, which demonstrated good psychometric properties when used with an audio computer assisted self-interview format and with an African American sample. We recommend this scale's use in both clinical practice and research study of HIV-stigma reduction interventions with African American populations.

Indexed as

African AmericanHIVMeasurementStigmaValidation

Identifiers

PMID27761520
PMCPMC5067075
OpenAlexW2487494368

What OpenQuestion holds

Textmetadata
LicenceTDM
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.