Evidence map›Paper›PMID 31435855›Full record

ArticleJournal of racial and ethnic health disparities2020

Alcohol Use and Ethnicity Independently Predict Antiretroviral Therapy Nonadherence Among Patients Living with HIV/HCV Coinfection.

Omar T Sims, Chia-Ying Chiu, Rasheeta Chandler, Pamela Melton, Kaiying Wang, Caroline Richey, Michelle Odlum

Abstract read
In one paragraph

Article in Journal of racial and ethnic health disparities, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. 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

7 authors.

Omar T SimsDepartment of Social Work, College of Arts and Sciences, University of Alabama at Birmingham, Birmingham, AL, USA. sims.omar@gmail.com.ORCID 0000-0002-3207-2231
Chia-Ying ChiuDepartment of Health Behavior, School of Public Health, University of Alabama at Birmingham, Birmingham, AL, USA.
Rasheeta ChandlerCenter for AIDS Prevention Studies, Division of Prevention Science, Department of Medicine, University of California, San Franciso, CA, USA.
Pamela MeltonDepartment of Social Work, College of Education, Humanities, and Behavioral Sciences, Alabama A&M University, 104 Bibb Graves Hall, Normal, AL, USA.
Kaiying WangDepartment of Health Behavior, School of Public Health, University of Alabama at Birmingham, Birmingham, AL, USA.
Caroline RicheyDepartment of Social Work, College of Arts and Sciences, University of Alabama at Birmingham, Birmingham, AL, USA.
Michelle OdlumSchool of Nursing, Columbia University, 560 West 168th Street, New York, 10032, USA.

Funding

Virology and Molecular Biomarkers CoreP30AI050409 · NIAID · EMORY UNIVERSITY · PI Ann M Chahroudi, Colleen F Kelley · 2002 to 2026
$74.0M
Substance Use and HIV Prevention Research in Minority Communities Training ProgramR25DA028567 · NIDA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Julia Lechuga, Torsten Brian Neilands · 2009 to 2026
$5.4M
Training Program for Scientists Conducting Research to Reduce HIV Health DisparitR25MH067127 · NIMH · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Emily A Arnold, Torsten Brian Neilands · 2003 to 2026
$5.4M
Minority Populations Prevention Researcher TrainingR25HD045810 · NICHD · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI NEILANDS, TORSTEN BRIAN · 2003 to 2018
$4.3M
NIAAA NIH HHS L30 AA023401NIAID NIH HHS P30 AI050409NICHD NIH HHS R25 HD045810NIDA NIH HHS R25 DA028567NIMH NIH HHS R25 MH067127
6 · The paper itself

Abstract

backgroundAdherence to antiretroviral therapy (ART) is important to counter synergistic effects of HIV and hepatitis C (HCV) in patients living with coinfection. Predictors of ART nonadherence among patients living with HIV/HCV coinfection are not well established. This knowledge would be advantageous for clinicians and behavioral health specialists who provide care to patients living with HIV/HCV coinfection.

objectivesThe purpose of this study was to assess prevalence and predictors of ART nonadherence in a sample of patients living with HIV/HCV coinfection who were actively in HIV clinical care.

methodA sample of patients living with HIV/HCV coinfection who received care at a university-affiliated HIV clinic (n = 137) between January 2013 and July 2017 were included in the study. Computerized patient-reported data or outcomes (PROs) and electronic medical record data of these respective patients were collected and analyzed. Binomial logistic regression was used to examine predictors of ART nonadherence.

resultsThe prevalence of ART nonadherence was 31%. In multivariate analysis, African American ethnicity (OR = 3.28, CI 1.241-8.653, p = 0.017) and a higher number of alcoholic drinks per drinking day (OR = 1.31, CI 1.054-1.639, p = 0.015) were positively associated with ART nonadherence.

conclusionsBehavioral health providers are encouraged to incorporate alcohol use reduce interventions in HIV clinical settings to reduce ART nonadherence among patients living with HIV/HCV coinfection. Additionally, public health professionals and researchers, and clinicians are encouraged to use inductive methods to discover why ART nonadherence disproportionately impacts African American patients living with HIV/HCV coinfection and to develop approaches that are sensitive to those respective barriers.

Indexed as

AlabamaAlcohol DrinkingAnti-Retroviral AgentsCoinfectionEthnicityFemaleHepatitis C, ChronicHIV InfectionsHumansMaleMiddle AgedPatient CompliancePrevalenceRisk AssessmentAnti-Retroviral AgentsAlcohol useCoinfectionEthnicityHepatitis CHIVPatient-reported outcomes

Identifiers

PMID31435855
PMCPMC6980421

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.