Evidence map›Paper›PMID 37227621›Full record

Trial reportAIDS and behavior2023

Effects of Behavioral Intervention Components for African American/Black and Latino Persons Living with HIV with Non-suppressed Viral Load Levels: Results of an Optimization Trial.

Charles M Cleland, Marya Gwadz, Linda M Collins, Leo Wilton, Noelle R Leonard, Amanda S Ritchie, Belkis Y Martinez, Elizabeth Silverman, Dawa Sherpa, Caroline Dorsen

Abstract readClinical Trial
In one paragraph

Trial report in AIDS and behavior, 2023. 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. Article
  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

10 authors.

Charles M ClelandDivision of Biostatistics, Department of Population Health, New York University School of Medicine, New York, NY, USA.
Marya GwadzCenter for Drug Use and HIV Research, School of Global Public Health, New York University, New York, NY, USA. Mg2890@nyu.edu.ORCID http://orcid.org/0000-0002-2386-9409
Linda M CollinsCenter for Drug Use and HIV Research, School of Global Public Health, New York University, New York, NY, USA.
Leo WiltonDepartment of Human Development, State University of New York at Binghamton, Binghamton, NY, USA.
Noelle R LeonardCenter for Drug Use and HIV Research, School of Global Public Health, New York University, New York, NY, USA.
Amanda S RitchieIntervention Innovations Team Lab (IIT-Lab), New York University Silver School of Social Work, New York, NY, USA.
Belkis Y MartinezDepartment of Psychology, Fordham University, Bronx, NY, USA.
Elizabeth SilvermanIntervention Innovations Team Lab (IIT-Lab), New York University Silver School of Social Work, New York, NY, USA.
Dawa SherpaIntervention Innovations Team Lab (IIT-Lab), New York University Silver School of Social Work, New York, NY, USA.
Caroline DorsenRutgers University School of Nursing, Newark, NJ, USA.

Funding

Transdisciplinary Theoretical Svnthesis and Development CoreP30DA011041 · NIDA · NEW YORK UNIVERSITY · PI Holly Hagan · 1998 to 2026
$38.9M
Pilot and Mentoring CoreP50DA054039 · NIDA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI LINDA M COLLINS, SUSAN A MURPHY · 2021 to 2026
$18.2M
Using MOST to optimize an HIV care continuum intervention for vulnerable populationsR01DA040480 · NIDA · NEW YORK UNIVERSITY · PI COLLINS, LINDA M, GWADZ, MARYA · 2016 to 2020
$5.9M
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
NIDA NIH HHS P30 DA011041NIDA NIH HHS P30DA011041NIDA NIH HHS P50 DA054039NIDA NIH HHS R01 DA040480NIDA NIH HHS R01DA040480NIMH NIH HHS R25 MH067127
6 · The paper itself

Abstract

There is an urgent need for efficient behavioral interventions to increase rates of HIV viral suppression for populations with serious barriers to engagement along the HIV care continuum. We carried out an optimization trial to test the effects of five behavioral intervention components designed to address barriers to HIV care continuum engagement for African American/Black and Latino persons living with HIV (PLWH) with non-suppressed HIV viral load levels: motivational interviewing sessions (MI), focused support groups (SG), peer mentorship (PM), pre-adherence skill building (SB), and navigation with two levels, short (NS) and long (NL). The primary outcome was HIV viral suppression (VS) and absolute viral load (VL) and health-related quality of life were secondary outcomes. Participants were 512 African American/Black and Latino PLWH poorly engaged in HIV care and with detectable HIV viral load levels in New York City, recruited mainly through peer referral. Overall, VS increased to 37%, or 45% in a sensitivity analysis. MI and SG seemed to have antagonistic effects on VS (z = - 1.90; p = 0.057); the probability of VS was highest when either MI or SG was assigned, but not both. MI (Mean Difference = 0.030; 95% CI 0.007-0.053; t(440) = 2.60; p = 0.010) and SB (Mean Difference = 0.030; 95% CI 0.007-0.053; t(439) = 2.54; p = 0.012) improved health-related quality of life. This is the first optimization trial in the field of HIV treatment. The study yields a number of insights into approaches to improve HIV viral suppression in PLWH with serious barriers to engagement along the HIV care continuum, including chronic poverty, and underscores challenges inherent in doing so.

Indexed as

Black or African AmericanHIV InfectionsHispanic or LatinoHumansQuality of LifeViral LoadFractional factorial designHIV care continuumHIV viral suppressionMultiphase optimization strategy (MOST)Optimization trialRacial/ethnic inequities

Identifiers

PMID37227621
PMCPMC10211286

What OpenQuestion 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 OpenQuestion graph.