Public articles linked to the same research event.
International Journal of Behavioral Medicine This cross-sectional study surveyed 427 adults on antiretroviral treatment (ART) at a large tertiary referral center in Kano, Nigeria, finding that 75.2% were aware of AI chatbots, 72.6% had ever used one, and 66.5% had used chatbots for HIV-related queries (most commonly general HIV/ART information 36.3%, checking ART side effects 23.4%, and preparing questions for clinicians 15.0%), and identified factors independently associated with HIV-related chatbot use, including younger age, post-secondary education, being married, shorter ART duration, presence of comorbidities, smartphone ownership, internet access, and English proficiency.
This cross-sectional study surveyed 427 adults on antiretroviral treatment (ART) at a large tertiary referral center in Kano, Nigeria, finding that 75.2% were aware of AI chatbots, 72.6% had ever used one, and 66.5% had used chatbots for HIV-related queries (most commonly general HIV/ART information 36.3%, checking ART side effects 23.4%, and preparing questions for clinicians 15.0%), and identified factors independently associated with HIV-related chatbot use, including younger age, post-secondary education, being married, shorter ART duration, presence of comorbidities, smartphone ownership, internet access, and English proficiency.
This cross-sectional study surveyed 427 adults on antiretroviral treatment (ART) at a large tertiary referral center in Kano, Nigeria, finding that 75.2% were aware of AI chatbots, 72.6% had ever used one, and 66.5% had used chatbots for HIV-related queries (most commonly general HIV/ART information 36.3%, checking ART side effects 23.4%, and preparing questions for clinicians 15.0%), and identified factors independently associated with HIV-related chatbot use, including younger age, post-secondary education, being married, shorter ART duration, presence of comorbidities, smartphone ownership, internet access, and English proficiency.
This cross-sectional study surveyed 427 adults on antiretroviral treatment (ART) at a large tertiary referral center in Kano, Nigeria, finding that 75.2% were aware of AI chatbots, 72.6% had ever used one, and 66.5% had used chatbots for HIV-related queries (most commonly general HIV/ART information 36.3%, checking ART side effects 23.4%, and preparing questions for clinicians 15.0%), and identified factors independently associated with HIV-related chatbot use, including younger age, post-secondary education, being married, shorter ART duration, presence of comorbidities, smartphone ownership, internet access, and English proficiency.