Development of a Social Media Campaign to Support HIV Prevention and Care Among Transgender Latina Women: Community-Engaged Mixed Methods Feasibility Pilot Study
Notice bibliographique
Résumé
Background: Transgender Latina women in the United States face disproportionate HIV risk due to intersecting social and structural vulnerabilities that limit access to care. While gender-affirming, culturally responsive, and eHealth strategies show promise for improving access, social media-based approaches remain underused despite their potential to reach marginalized groups at scale. Objective: This study aimed to develop and pilot a culturally tailored social media campaign to increase awareness of HIV prevention and care services offered by a community-based organization (CBO) in King County, Washington, for transgender Latina women and to assess the campaign's feasibility and acceptability. Methods: We conducted a community-engaged, mixed methods pilot study using a multiphase design. In phase 1, we conducted cross-sectional, in-depth interviews with transgender Latina women (n=20) recruited by a CBO in King County, Washington. Interviews were analyzed using thematic analysis, guided by the Unified Theory of Behavior, to inform campaign messaging priorities. A subsequent focus group (n=7) then reviewed and refined 6 draft campaign concepts according to the community preferences. In phase 2, the finalized campaign was piloted on Facebook and Instagram. A cross-sectional REDCap (Research Electronic Data Capture; Vanderbilt University) survey was conducted with a subset (n=100) of transgender Latina women exposed to the campaign who voluntarily consented to complete the survey after being directed from the campaign. Survey data were summarized using descriptive statistics to assess campaign reach and feasibility and acceptability outcomes. Results: In-depth interview participants were a mean age of 37.6 (SD 9.5) years and reported an average of 10.2 (SD 10.8) years residing in the United States (n=20). Interviews revealed four key themes: (1) importance of HIV prevention and awareness, (2) accessibility of HIV services, (3) provision of culturally tailored care, and (4) need for confidentiality. Among survey respondents (mean age of 29.7, SD 5.2 years), 97% (97/100; 95% CI 91.5%-99.0%) had ever tested for HIV and 44% (44/100; 95% CI 34.3%-53.7%) reported testing within the past 6 months. A total of 3 respondents were living with HIV, all on antiretroviral therapy. Nearly all (91/100, 91%; 95% CI 84.3%-95.2%) reported campaign-motivated action, including HIV testing or seeking information or services. Conclusions: Findings demonstrate the feasibility and acceptability of a culturally tailored campaign, cocreated with community members, to promote HIV prevention and care among transgender Latina women. By integrating participatory methods with digital outreach, this study contributes an innovative model that centers community voices in campaign design while leveraging widely used platforms. The study has implications for providing CBOs with scalable, low-cost strategies to expand culturally responsive HIV services, reduce stigma, and motivate health-seeking behaviors in populations often overlooked by mainstream public health messaging. This work underscores how codesigned social media campaigns can complement traditional outreach and inform future HIV prevention strategies for underserved populations.
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,007 | 0,006 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,000 | 0,001 |
| Bibliométrie | 0,001 | 0,000 |
| Études des sciences et des technologies | 0,003 | 0,001 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,001 | 0,002 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,004 | 0,001 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».