Abstract
OBJECTIVE: To evaluate the feasibility, usability, and efficacy of innovative generative pretrained transformer chatbot in improving self-care in hypertensive patients in a resource-limited setting. PATIENTS AND METHODS: A single-arm nonblinded clinical trial was deployed in a busy cardiology clinic in a low-resource setting. Artificial intelligence-enabled chatbot (Healthy Heart Assistant) was activated in smartphones of 50 adults on treatment for hypertension. Participants were trained on how to use the Healthy Heart Assistant including setting medication and appointment reminders. Baseline questionnaires were administered at enrollment and 30 days later to explore acceptability, feasibility and usability of the bot. We used chatbot usability questionnaire and self-made Healthy Heart Assistant satisfaction questionnaire to assess bot usability and patients' satisfaction, respectively. The study began on April 5, 2024, through July 15, 2024. RESULTS: Of 200 hypertensive clinic attendees, 70 (35%) had internet-enabled bot-compatible cell phones, of which 50 hypertensive patients were recruited to participate in the study. Among 50 participants, 2 (4%) were lost to follow-up; 19 (39.6%) were women; and 40 (83.3%) had attained tertiary level of education. Mean time of training to use bot was 5.7 minutes, with 35 (70.8%) of participants being able to use the bot within 5 minutes. The median frequency of chats for participants within the timeframe was an average of 1.5 chats/day. Chatbot usability questionnaire score was 69.5%, whereas self-made Healthy Heart Assistant satisfaction questionnaire score was 90%. CONCLUSION: This proof-of-concept study shows that generative artificial intelligence can be applied with reasonable success in hypertension self-care in low-resource settings and has potential for being effective.