Evidence map›Paper›PMID 39564363›Full record

ArticleFrontiers in public health2024

Associations of stigma, loneliness, and treatment self-regulation with HIV medication adherence among individuals with substance use disorder using a mobile health application.

Adati Tarfa, Tarfa Verinumbe, Fan Ellie Yang, Olayinka O Shiyanbola, Cameron Liebert, Sarah Dietz, Rebecca Miller, Ryan P Westergaard

Abstract read
In one paragraph

Article in Frontiers in public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

8 authors.

Adati TarfaSection of Infectious Diseases, Department of Internal Medicine, Yale School of Medicine, New Haven, CT, United States.
Tarfa VerinumbeDivision of Infectious Diseases, Johns Hopkins University School of Medicine, Baltimore, MD, United States.
Fan Ellie YangSchool of Communication, Illinois State University, Normal, IL, United States.
Olayinka O ShiyanbolaDivision of Social and Administrative Sciences, School of Pharmacy, University of Wisconsin-Madison, Madison, WI, United States.
Cameron LiebertDepartment of Medicine, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, United States.
Sarah DietzSchool of Medicine and Public Health, University of Wisconsin, Madison, WI, United States.
Rebecca MillerDepartment of Medicine, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, United States.
Ryan P WestergaardDepartment of Medicine, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, United States.

Funding

Optimizing HIV care for patients with substance use disorders using predictive analytics in a mobile health applicationDP2DA042424 · NIDA · UNIVERSITY OF WISCONSIN-MADISON · PI WESTERGAARD, RYAN PATRICK · 2016 to 2016
$2.3M
NIDA NIH HHS DP2 DA042424
6 · The paper itself

Abstract

Introduction: Medication adherence contributes to poor HIV outcomes, especially among people with HIV and Substance use disorder (SUD). Mobile health applications have been leveraged to improve behavioral health outcomes among this population. Our cross-sectional study examined the relationship between medication adherence with factors such as treatment self-regulation, isolation, and internalized stigma, among people with HIV and SUD using the Addiction Comprehensive Health Enhancement Support System (A-CHESS) mobile app. Methods: A sample of 208 participants using A-CHESS to improve treatment adherence completed a survey. Adherence was measured using the Four-item Morisky Medication Adherence Scale and dichotomized (maximum score of 20 points considered as adherent). Positive and negative affect was measured separately using Positive Affect Negative Affect Schedule and loneliness was measured using UCLA three-item Loneliness Scale. Internalized stigma was measured using Internalized AIDS-Related Stigma Scale. Competence/Treatment self-regulation was measured using Treatment Self-regulation Questionnaire. Multivariable logistic regression was used to assess the associations of affect, treatment self-regulation, isolation, and internalized stigma, with adherence to antiretroviral therapy adjusting for age, education, and gender. Results: Among 208 participants in this study, most were Black ( Conclusion: Internalized stigma was significantly associated with HIV medication adherence. Further research is needed to better understand this relationship and develop interventions addressing stigma in people with HIV and SUD.

Indexed as

Drug MonitoringHIV InfectionsLonelinessMedication AdherenceMobile ApplicationsSocial StigmaSubstance-Related DisordersAdultAnti-HIV AgentsCross-Sectional StudiesFemaleHumansMaleMiddle AgedSelf-ControlSurveys and QuestionnairesAnti-HIV Agentsadherenceantiretroviral therapydigital healthHIVmobile healthsocial isolationstigmasubstance use disorder

Identifiers

PMID39564363
PMCPMC11573518

What OpenQuestion holds

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LicenceCC BY
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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.