Trial reportAIDS and behavior2025
Online Peer Support for Youth at Higher Risk of or Living with HIV: A Qualitative Content Analysis.
Trial report in AIDS and behavior, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03134833 (Engaging Seronegative Youth to Optimize HIV Prevention Continuum), which is not on this map. Cited by 1 paper.
What it found
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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.
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.
Engaging Seronegative Youth to Optimize HIV Prevention Continuum
Who cites it
1 citing paper in PubMed.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
43 authors.
Funding
Abstract
With the rise of technology-based interventions for HIV risk reduction among adolescents, research is needed to assess how youth participate in these strategies. We used qualitative content analysis to examine youth's posts in an online peer support intervention through the Adolescent Trials Network (ClinicalTrials.gov NCT03134833, registered May 1, 2017) for youth at higher risk of or living with HIV. We analyzed 308 posts across 85 conversations related to sexual health from 144 peer support participants. Conversation topics included risk reduction, partner navigation, sexual activity, awareness/advocacy, and consent/harassment. Results may inform the design, adaptation, and implementation of digital peer support interventions.
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Registered trials
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.