What this Trial Is About

Limited psychological support for parents of children with special needs in Hong Kong can profoundly impact the child rehabilitation process and the well-being of parent-child dyads. Leveraging previous evidence from our team's research, we have developed Pai.ACT, the first deep learning-based mental health advisory system for parents. Pai.ACT incorporates the counselling logic of Acceptance and Commitment Therapy (ACT) through natural language processing, enabling parents to engage in human-like voice-to-text conversations and receive assessments and stepped-care mental health interventions, including guided self-help materials and real-time, individual-based counselling based on ACT. Following the research and development phases, we aim to kick off the utilisation of Pai.ACT by (1) pilot-testing its feasibility, acceptability, and potential efficacy in improving mental health outcomes for parents of children with special needs and (2) researching to determine the most optimal service model for parents by exploring their perceptions through focus group interviews. Pai.ACT offers accessible and comprehensive mental health services to all Chinese-speaking parents, addressing their psychological burden in caring for children with special needs. Pai.ACT could bring substantial and enduring societal benefits to Chinese-speaking families by integrating mental health support services for family caregivers with current child rehabilitation services and non-governmental organisations. Furthermore, this could contribute to reducing the public stigma attached to special needs children while increasing mental health awareness.

Pai.ACT - An Artificial Intelligence Driven Chatbot Assisted ACT