Effects of a Large Language Model-Driven Chatbot on Reproductive Concerns After Cancer

Condition(s) studied

Investigational drug(s) / intervention(s)

Chatbot: A large language model-driven chatbot that incorporates acceptance and commitment therapy, a verified onco-fertility knowledge base, and relevant policy information.

Electronic brochure: An electronic brochure that contains psychoeducational materials, verified onco-fertility knowledge, and relevant policy information.

Study summary

Reproductive health has emerged as a critical yet overlooked concern among Adolescent and Young Adult (AYA) cancer survivors, given their compromised potential for biological parenthood in prime childbearing years. Large language models (LLMs) offer a promising solution to bridge onco-fertility service gaps by integrating evidence-based knowledge and therapeutic frameworks. This pilot randomized controlled trial aims to assess the feasibility and preliminary effectiveness of an LLM-driven chatbot versus electronic brochure in addressing reproductive concerns among AYA cancer survivors.

Eligibility

Primary outcome measure(s)

• Total interaction time — At 4 weeks, 8 weeks
  The cumulative time spent interacting with the chatbot or reading the electronic brochure during the study period.
• Number of active days — At 4 weeks, 8 weeks
  The total number of distinct days on which a participant actively engaged with the chatbot or accessed the electronic brochure.
• Dropout rate — At 4 weeks, 8 weeks
  The proportion of randomized participants who do not complete the intervention or outcome measures.

Trial sites (2)

More The Hong Kong Polytechnic University trials in China

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