Evidence map›Paper›PMID 32932340›Full record

ArticleAIDS (London, England)2020

Performance of a short, self-report adherence scale in a probability sample of persons using HIV antiretroviral therapy in the United States.

Ira B Wilson, Yunfeng Tie, Mabel Padilla, William H Rogers, Linda Beer

Open access · greenAbstract read
In one paragraph

Article in AIDS (London, England), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
0.4field-weighted citation impact, top 25% 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

24 citing papers in PubMed, 33 citations in OpenAlex.

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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 at 3 institutions in 1 country.

Ira B WilsonDepartment of Health Services, Policy & Practice, Brown University School of Public Health, Providence, Rhode Island.
Yunfeng TieDivision of HIV/AIDS Prevention, Centers for Disease Control and Prevention, Atlanta, Georgia.
Mabel PadillaDivision of HIV/AIDS Prevention, Centers for Disease Control and Prevention, Atlanta, Georgia.
William H RogersInstitute for Clinical Research and Health Policy Studies, Tufts Medical Center.
Linda BeerDivision of HIV/AIDS Prevention, Centers for Disease Control and Prevention, Atlanta, Georgia.
Centers for Disease Control and Prevention · USBrown University · USTufts Medical Center · US

Funding

Translational ScienceP30AI042853 · NIAID · MIRIAM HOSPITAL · PI LARRY K BROWN · 1998 to 2026
$51.7M
Tracking and Evaluation CoreU54GM115677 · NIGMS · BROWN UNIVERSITY · PI CHOUDHARY, GAURAV · 2016 to 2025
$45.0M
NIAID NIH HHS P30 AI042853NIGMS NIH HHS U54 GM115677
6 · The paper itself

Abstract

backgroundExcellent adherence to HIV antiretroviral therapy (ART) remains a cornerstone of HIV care. A three-item adherence self-report scale was recently developed and validated, but the scale has not been previously tested in a nationally representative sample.

designWe administered the adherence scale to participants in the Centers for Disease Control and Prevention's Medical Monitoring Project, which is a probability sample of US adults with diagnosed HIV.

methodsWe combined sociodemographic and clinical participant data from three consecutive cycles of the Medical Monitoring Project (6/2015-5/2018). We used medical record reviews to determine most recent viral load, and whether viral loads were suppressed at all measurement points in the past 12 months. We describe the relationship between adherence scale score and two measures of viral load suppression (most recent and sustained), and estimate linear regression models using sampling weights to determine independent predictors of ART adherence scores.

resultsOf those using ART, the median adherence score was 93 (100 = perfect adherence), and the standardized Cronbach's alpha was 0.83. For both measures of viral load suppression, the relationship with the adherence score was generally linear; there was no 'cutoff' point indicating good vs. poor adherence. In the multivariable model, younger age, nonwhite race, poverty, homelessness, depression, binge-drinking, and both non-IDU and IDU were independently associated with lower adherence.

conclusionThe adherence measure had good psychometric qualities and a linear relationship with viral load, supporting its use in both clinical care and research. Adherence interventions should focus on persons with the highest risk of poor adherence.

Indexed as

Anti-HIV AgentsHIV InfectionsMedication AdherenceAdolescentAdultFemaleHumansMaleMiddle AgedSampling StudiesSelf ReportSexual BehaviorUnited StatesViral LoadYoung AdultAnti-HIV Agents

Identifiers

PMID32932340
PMCPMC7674252
OpenAlexW3087423274

What Socratic 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 Socratic graph.