AI-Powered Sleep Hygiene Mentor for Adults Living With HIV

Poor sleep is common among people living with HIV and is linked to fatigue, psychological distress and poorer adherence to antiretroviral therapy. This study develops a mobile sleep hygiene mentor that uses artificial intelligence to give personalised sleep recommendations, with a dashboard that lets nurses follow participants and respond to risks. The mentor is built with adults living with HIV and HIV nurses and then tested for usability and feasibility. In the main evaluation, about 70 adults living with HIV with poor sleep use the mentor daily for four weeks, with two online nurse sessions, and are followed up four weeks later. The study measures sleep quality, insomnia severity, depression, anxiety and stress, fatigue, adherence to antiretroviral therapy, technology acceptance, engagement and safety.