JOURNAL ARTICLE

Preferences for Game-Based Elements to Increase Preexposure Prophylaxis and HIV Prevention Engagement Among Latino Men Who Have Sex With Men: South Florida, 2022.

  • Published In: American Journal of Public Health, 2026, v. 116. P. S10 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Despres, Lacey; Rodriguez, Edda; Shegog, Ross; Diez, Stephanie; Doblecki-Lewis, Susanne; Fujimoto, Kayo; Cunningham, Suzanne Randolph; Kanamori, Mariano 3 of 3

Abstract

This article focuses on exploring the acceptability and preferences for game-based interventions to promote engagement in preexposure prophylaxis (PrEP) and HIV prevention services among Latino men who have sex with men (LMSM). Through semistructured interviews with 12 LMSM in South Florida, two main themes emerged: the perceived advantages and disadvantages of integrating gaming elements into HIV prevention, and diverse preferences regarding intervention delivery formats and components. Participants generally viewed game-based strategies as a promising way to reach and engage LMSM by leveraging shared gaming interests and creating safe, inclusive spaces, while noting challenges such as potential misalignment of gaming and educational goals and exclusion of non-gamers. The findings support the development of multicomponent, community-partnered gaming interventions that incorporate incentives, hybrid event formats, and trusted educators to enhance HIV prevention outreach within the LMSM and broader LGBTQ+ gaming communities.

Additional Information

  • Source:American Journal of Public Health. 2026/03, Vol. 116, pS10
  • Document Type:Article
  • Subject Area:Consumer Health
  • Publication Date:2026
  • ISSN:0090-0036
  • DOI:10.2105/AJPH.2025.308353
  • Accession Number:191890528
  • Copyright Statement:Copyright of American Journal of Public Health is the property of American Public Health Association and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Looking to go deeper into this topic? Look for more articles on EBSCOhost.