Evidence map›Paper›PMID 41231394›Full record

ArticleCurrent HIV/AIDS reports2025

Analytic Methods to Investigate HIV-Related Digital Communication: A Scoping Review.

Parisa Ayoubi, Bailey Holmes Spencer, Ohemaa B Poku, Philip Kreniske, Michelle R Kaufman, Evan L Eschliman

Abstract readScoping Review
In one paragraph

Article in Current HIV/AIDS reports, 2025. 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. 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

6 authors.

Parisa AyoubiDepartment of Community Health and Social Sciences, City University of New York (CUNY) Graduate School of Public Health, New York, USA.
Bailey Holmes SpencerDepartment of Health, Behavior and Society, Johns Hopkins Bloomberg School of Public Health, Baltimore, USA.
Ohemaa B PokuDepartment of Psychiatry, Vagelos College of Physicians and Surgeons, Columbia University, New York, USA.
Philip KreniskeDepartment of Community Health and Social Sciences, City University of New York (CUNY) Graduate School of Public Health, New York, USA.
Michelle R KaufmanDepartment of Health, Behavior and Society, Johns Hopkins Bloomberg School of Public Health, Baltimore, USA.
Evan L EschlimanDepartment of Epidemiology, Columbia University Mailman School of Public Health, New York, USA. evan.e@columbia.edu.

Funding

Institutional Career Development CoreKL2TR001874 · NCATS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI GENKINGER, JEANINE M., SHIMBO, DAICHI · 2016 to 2025
$13.6M
Substance Abuse Epidemiology Training Program (SAETP) at Columbia UniversityT32DA031099 · NIDA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI DEBORAH S HASIN, Silvia Saboia Martins · 2012 to 2026
$6.1M
Improving understanding of Capacity to consent to sensitive biomedical HIV prevention Research among adolescents in Rakai Uganda (ICARE)R01MH134695 · NIMH · GRADUATE SCHOOL OF PUBLIC HEALTH AND HEALTH POLICY · PI Philip Kreniske · 2024 to 2026
$1.9M
Integrating data for causal inference in behavioral healthT32MH122357 · NIMH · JOHNS HOPKINS UNIVERSITY · PI Rashelle Jean Musci, Elizabeth A. Stuart · 2020 to 2026
$1.8M
National Institute of Mental Health, National Institute of Health (NIMH/NIH) P30MH43520National Institute of Mental Health, National Institute of Health (NIMH/NIH) R01MH134695National Institute of Mental Health, National Institute of Health (NIMH/NIH) T32MH122357National Institute on Drug Abuse, National Institutes of Health (NIDA/NIH) T32DA031099NIH HHS KL2TR001874NIMH NIH HHS T32 MH122357
6 · The paper itself

Abstract

purpose of reviewThis scoping review aims to identify and characterize analytic methods used to investigate digital communication related to HIV. RECENT

findingsOf the 106 articles detailed in this review published before February 2025, just over half of the articles investigated HIV prevention, and the vast majority used social media data. Articles primarily employed qualitative methods, most often thematic analysis. Articles employing quantitative methods used a range of methods including topic modeling, training classifiers, and sentiment analysis. There were also many articles that employed both qualitative and quantitative methods. A wide range of methods have been employed to analyze HIV-related digital communication. As best practices continue to be established, future research can innovate in the application of both qualitative and quantitative methods, leverage digital communication to better understand lived experience of HIV treatment and HIV-related stigma, and ensure this research is done in accordance with high ethical standards.

Indexed as

CommunicationHIV InfectionsSocial MediaHumansSocial StigmaAnalytics methodDigital communicationHIV preventionHIV-related stigmaHIV treatmentSocial media

Identifiers

PMID41231394
PMCPMC13014415

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.