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Record W4213027509 · doi:10.2196/36446

Culturally Tailored Social Media Content to Reach Latinx Immigrant Sexual Minority Men for HIV Prevention: Web-Based Feasibility Study

2022· article· en· W4213027509 on OpenAlexvenueno aff
Jane Lee, Joel Aguirre Herrera, José Rubén Parra Cardona, Loren Yesenia Cruz, Lésster Munguía, Christopher A Leyva Vera, Gabriel Robles

Bibliographic record

VenueJMIR Formative Research · 2022
Typearticle
Languageen
FieldMedicine
TopicHIV/AIDS Research and Interventions
Canadian institutionsnot available
FundersNational Center for Advancing Translational SciencesNational Institutes of HealthUniversity of Washington
KeywordsSocial mediaImmigrationSexual minorityMedicineGerontologyPsychologySexual orientationSocial psychologyPolitical science

Abstract

fetched live from OpenAlex

BACKGROUND: Latinx gay, bisexual, and other sexual minority men are disproportionately affected by HIV in the United States. As Latinx sexual minority men, particularly those who are foreign-born, experience inequitable access to health services, tailored strategies to engage them for HIV prevention are urgently needed. OBJECTIVE: Our study seeks to address the need for enhanced access to HIV prevention among Latinx immigrant sexual minority men. We developed and piloted a culturally sensitive technology-based campaign focused on HIV testing and pre-exposure prophylaxis (PrEP) uptake. METHODS: We used a two-phase approach to assess the feasibility of community-informed social media content in engaging Latinx immigrant sexual minority men for HIV testing and PrEP use. First, we conducted three iterative focus groups with 15 Latinx immigrant sexual minority men to refine the HIV prevention content to be piloted on social media platforms. The finalized content was placed on Instagram and Facebook for 9 days in July and September 2021 to individuals who were in Washington State. Individuals who clicked on the content were directed to a website with additional HIV prevention information. Second, we conducted online surveys (n=60) with website visitors that assessed sociodemographic characteristics, barriers to HIV prevention, and HIV-related transmission risk and prevention behaviors. We conducted descriptive analyses to examine the overall profile of survey respondents and determine the feasibility of culturally informed social media content in reaching Latinx immigrant sexual minority men. RESULTS: Overall, 739 unique users visited the website during the 9-day period when the social media content was posted on Instagram and Facebook. Our sample included 60 Latinx immigrant sexual minority men who completed the online survey. Participants' mean age was 30.8 years and more than half (n=34, 57%) completed the survey in Spanish. A quarter of participants indicated that they were unauthorized immigrants and 57% (n=34) reported not having medical insurance. Participants reported, on average, having 6 different sexual partners in the last 6 months. Nearly a third of respondents had not tested for HIV in the last 6 months. Only about half (n=32, 53%) of respondents had used PrEP in the last 12 months. CONCLUSIONS: Community-driven social media and web-based strategies are feasible ways to engage Latinx immigrant sexual minority men who may traditionally lack access to HIV prevention information and services due to structural and social barriers. The results highlight that culturally relevant social media and web-based outreach strategies that are informed and developed by the community can reach Latinx immigrant sexual minority men for HIV prevention. Findings underscore the need to examine the effectiveness of social media content in promoting HIV testing and PrEP uptake in marginalized Latinx populations.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.840
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.171
GPT teacher head0.460
Teacher spread0.289 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations17
Published2022
Admission routes1
Has abstractyes

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