Development and Evaluation of an AI-empowered Voice-interactive Chatbot for Migraine Management Among Hong Kong Women: a Randomized Crossover Trial
Abstract
The goal of this randomized crossover trial is to examine whether the AI-empowered chatbot will effectively collect comprehensive migraine feature data and demonstrate higher compliance, accuracy, utilization, acceptability, feasibility, and validity in migraine feature tracking compared to traditional paper-based migraine diaries among Hong Kong women with migraine.
Participants will use different tools (AI-empowered voice-interactive chatbot or paper migraine diary) for migraine tracking. Participants will be randomly allocated to one of two intervention sequences: (1) AI-empowered voice-interactive chatbot followed by paper migraine diary, or (2) paper migraine diary followed by AI-empowered voice-interactive chatbot. The study will consist of two intervention periods, each lasting one month, with a 1:1 allocation ratio.
Conditions: Migraine.
Primary outcome: timeliness; Completeness; Missed episodes; Accuracy.
Enrollment: 49 participants.
How strong is the evidence?
Evidence Hub reads this as a randomized trial, done in people. Its evidence level is 2 of 5 (High · randomized trial). Randomized trials of a reasonable size are the strongest single-study design. Reported size: 49 participants or records.
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