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“Like Someone Is Paying Attention to You, Listening to You, and Guiding You”: Acceptability of a Mental Health Chatbot Among Caregivers of Adolescents Living With HIV

  • Neil Rupani
  • , Diego H. Vasquez
  • , Carmen Contreras
  • , Luis Menacho
  • , Lenka Kolevic
  • , Molly F. Franke
  • , Jerome T. Galea
  • Morsani College of Medicine
  • Socios en Salud Lima
  • Instituto Nacional de Salud Del Niño
  • Univ. Nacional Mayor de San Marcos
  • Harvard Medical School
  • University of South Florida

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

Background: This study assessed the acceptability, among caregivers, of a mental health chatbot designed for adolescents living with HIV aged 10 to 19 years. Methods: Fifteen caregivers interacted with the mental health chatbot. Pre–post assessments and semistructured interviews evaluated acceptability. Data were analyzed using a Framework Analysis approach. Results: Caregivers aged 31 to 70 years found the chatbot acceptable on individual, interpersonal, and environmental levels. They appreciated the educational content and self-help tools, feeling the chatbot would benefit them personally. Caregivers also saw potential in the chatbot to improve communication with their children, particularly during critical periods like HIV diagnosis. Despite concerns about data costs or internet access, most viewed the chatbot as an accessible supplement to traditional mental health services. Conclusion: This study suggests that a mental health chatbot for Peruvian adolescents living with HIV was acceptable to their caregivers, potentially benefiting caregivers’ mental health, enhancing caregiver–adolescent interactions, and fostering better communication.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being
  2. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure

Keywords

  • mHealth
  • mental health
  • patient empowerment
  • social support
  • vulnerable populations

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