IDEAS home Printed from https://ideas.repec.org/a/cwf/pcarti/pc2026179.html

Development and Validation of an Artificial Intelligence-Supported Educational Brochure for the Prevention of Drug Use and HIV Infection

Author

Listed:
  • Zayas Massó, Luis Angel
  • Rojas, Amanda Ramírez
  • Figueroa, Alexandra Bauta
  • Morell, Yenifer Castillo
  • Barroso Fontanals, Miguel Enrique

Abstract

Introduction: Drug use and human immunodeficiency virus (HIV) infection remain major public health challenges, particularly among adolescents and young adults. Educational materials supported by artificial intelligence (AI) represent an innovative approach to health promotion strategies. Objective: To develop and validate an artificial intelligence-supported educational brochure for the prevention of drug use and HIV infection among adolescents and young adults. Methods: A technological development study with a mixed-methods approach was conducted at the Universidad de Ciencias Médicas de Santiago de Cuba between August and October 2026. The development of the brochure comprised three phases: literature review and scientific content curation, AI-assisted graphic design, and expert validation. Means, standard deviations, and the Content Validity Index (CVI) were calculated. Results: An educational brochure was developed in both printed and digital formats addressing the prevention of drug use and HIV infection. The overall CVI was 0.96, and mean scores ranged from 4.63 to 4.88. Overall, 93.8% of responses were rated as "Agree" or "Strongly Agree." Conclusions: The educational brochure demonstrated adequate content validity and represents a useful educational resource for strengthening the prevention of drug use and HIV infection. Artificial intelligence proved to be an effective supportive tool when its use was accompanied by expert supervision and validation.

Suggested Citation

  • Zayas Massó, Luis Angel & Rojas, Amanda Ramírez & Figueroa, Alexandra Bauta & Morell, Yenifer Castillo & Barroso Fontanals, Miguel Enrique, 2026. "Development and Validation of an Artificial Intelligence-Supported Educational Brochure for the Prevention of Drug Use and HIV Infection," SAP Primary Care, South American Publishing.
    • Handle: RePEc:cwf:pcarti:pc2026179
    DOI: 10.62486/pc2026179
    as

    Download full text from publisher

    File URL: https://southam.pub/journals/files/pc/pc2026179es.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.62486/pc2026179?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:cwf:pcarti:pc2026179. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: South American Publishing Journals Manager (email available below). General contact details of provider: https://southam.pub/journals/pc.php .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.