AI-Driven Mental Health Support in Low-Resource Settings: Comparative Lessons from Nigeria, Nepal, and Ecuador

Abstract

As chronic illnesses increasingly intersect with mental health disorders in developing countries, conventional healthcare systems remain ill-equipped to respond to this dual crisis. This paper explores the adoption of AI-enabled mental health interventions for chronic illness in developing countries, drawing comparative insights from Nigeria, Nepal, and Ecuador. Using a document-based qualitative methodology, it analyses the extent, effectiveness, and barriers associated with digital mental health innovation across varying levels of technological maturity. Nigeria demonstrates the most advanced integration, particularly in clinical psychology, with AI tools used for diagnosis, therapeutic support, and remote monitoring. However, it is challenged by clinician resistance and ethical concerns. Nepal, while focused more broadly on AI in healthcare, reveals early signs of readiness for mental health applications, constrained by infrastructural and contextual localization gaps. Ecuador, despite limited AI deployment, highlights the importance of digital literacy and legal frameworks through its telemedicine experience. The findings reveal that AI’s promise is not merely technical, it is profoundly human shaped by culture, policy, education, and trust. True adoption requires more than innovation; it demands ethical alignment, systemic investment, and localized design. This paper provides a strategic roadmap for global AI health equity, outlining policy, training, and research priorities to responsibly scale AI-enabled mental health interventions for chronic illness care. In doing so, it contributes a rare South-South comparative perspective, one that is urgently needed to reimagine the future of digital health in underserved communities.

Ähnliche Arbeiten