Evidence map›Paper›PMID 35460588›Full record

ArticleJournal of community psychology2022

Racial disparity in ART adherence is closed in states with high social trust: Results from the Medical Monitoring Project (MMP), 2015.

Yusuf Ransome, Trace Kershaw, Ichiro Kawachi, Denis Nash, Kenneth H Mayer

Abstract read
In one paragraph

Article in Journal of community psychology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Yusuf RansomeSocial and Behavioral Sciences, Yale School of Public Health, New Haven, CT, USA.ORCID 0000-0003-4170-2001
Trace KershawSocial and Behavioral Sciences, Yale School of Public Health, New Haven, CT, USA.
Ichiro KawachiSocial and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Denis NashInstitute for Implementation Science in Population Health, City University of New York, New York, NY, USA.
Kenneth H MayerThe Fenway Institute, Fenway Health, Boston, MA, USA.

Funding

Social Capital and Late HIV Diagnosis in the United StatesK01MH111374 · NIMH · YALE UNIVERSITY · PI RANSOME, YUSUF · 2017 to 2021
$749k
NIMH NIH HHS K01 MH111374
6 · The paper itself

Abstract

Racial/ethnic disparities persist in antiretroviral therapy (ART) adherence and viral suppression. We examined associations between state-level social trust and individual-level ART adherence and viral suppression and assessed whether these relationships varied by race/ethnicity. The Medical Monitoring Project (MMP) annually reports nationally representative estimates of the behavioral and clinical characteristics of HIV-positive adults in primary care. A total of 3298 adults diagnosed with HIV between 2015 and 2016 from 16 US states were included. We used weighted logistic regression to model the association between state-level social trust, race/ethnicity (Non-Hispanic Black, White, and Hispanic/Latino), and cross-product interactions with ART adherence (a binary measure derived from three self-reported questions), and viral suppression (a binary measure corresponding to plasma HIV RNA < 200 copies/ml). Social trust was the percentage of people in each state who agreed that most people in their neighborhood could be trusted. A high level of social trust was associated with a higher likelihood of ART adherence (PR [prevalence ratio] = 1.17; 95% confidence interval [CI]: 1.05-1.30). In covariate-adjusted analyses, the association between state-level social trust and individual-level ART adherence significantly varied by race/ethnicity (Wald χ

Indexed as

HIV InfectionsTrustAdultAnti-Retroviral AgentsBlack or African AmericanEthnicityHumansAnti-Retroviral AgentsART adherencedisparitiesHIV/AIDSrace/ethnicitysocial capitalsocial cohesionsocial drivers

Identifiers

PMID35460588
PMCPMC10485770

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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.