Evidence map›Paper›PMID 39924604›Full record

ArticleJournal of behavioral medicine2025

Predicting antiretroviral medication adherence among substance-using people with HIV: test and extension of the information-motivation-behavioral skills model.

Archana Krishnan, Yerina S Ranjit, Xin Zhou, Frederick L Altice

Abstract read
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In one paragraph

Article in Journal of behavioral medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Trial
  2. Article
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.

Archana KrishnanDepartment of Communication, University at Albany, State University of New York, Albany, New York, USA. archana.krishnan@aya.yale.edu.ORCID 0000-0001-6021-7736
Yerina S RanjitDepartment of Communication, University of Missouri, Columbia, Missouri, USA.
Xin ZhouDepartment of Internal Medicine, Section of Infectious Diseases, Yale University, New Haven, Connecticut, USA.ORCID 0000-0003-2852-1468
Frederick L AlticeDepartment of Internal Medicine, Section of Infectious Diseases, Yale University, New Haven, Connecticut, USA.

Funding

Improving Antiretroviral Adherence and Persistence using mHealth Tools in HIV-infected Cocaine UsersR21DA039842 · NIDA · YALE UNIVERSITY · PI ALTICE, FREDERICK LEWIS · 2016 to 2017
$461k
Intramural Research Program, National Institute on Drug Abuse DA039842NIDA NIH HHS R21 DA039842
6 · The paper itself

Abstract

Antiretroviral therapy (ART) is effective in reducing HIV transmission and mortality, yet daily adherence remains a challenge for many people with HIV (PWH). Suboptimal adherence can lead to virological failure and increased mortality, particularly among those with substance use disorders, such as cocaine use disorder (CUD). The Information-Motivation-Behavioral (IMB) skills model offers a framework to understand and enhance ART adherence by addressing individual and social barriers. In this study, we tested the IMB skills model among 80 cocaine-using PWH currently on ART, and found that behavioral skills significantly predicted adherence. In the extension of the IMB skills model, the addition of practical barriers altered the relationship by showing that motivational barriers such as treatment fatigue and practical barriers significantly affected ART adherence. The findings suggest that for PWH with substance use disorders, addressing practical barriers and motivational factors may be crucial for improving ART adherence, in addition to building behavioral skills.

Indexed as

Anti-HIV AgentsCocaine-Related DisordersHIV InfectionsMedication AdherenceModels, PsychologicalMotivationSubstance-Related DisordersAdultFemaleHumansInformation Motivation Behavioral Skills ModelMaleMiddle AgedAnti-HIV AgentsBarriers to medicationCocaineInformation-motivation-behavioral skills modelMedication adherencePeople with HIV

Identifiers

PMID39924604

What OpenQuestion holds

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Registered trials

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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.