Use and Acceptance of Large Language Models for Cancer Shared Decision-Making

This study examines how cancer patients, the general public, and healthcare professionals use and perceive large language models (such as ChatGPT) for health-related shared decision-making in oncology. A cross-sectional survey was conducted among 7,151 participants across 30 countries using a questionnaire developed and validated through a two-round Delphi process involving 44 experts. The study assessed current patterns of large language model use for health information, barriers to adoption including concerns about reliability and privacy, future expectations regarding these tools in shared decision-making, and demographic predictors of adoption. Participants were recruited through the Prolific platform between March and May 2025, with stratified sampling across three groups: cancer patients diagnosed within the past five years, general population members from the United States and United Kingdom, and licensed healthcare professionals with active patient contact.

NCT Number	NCT07526441
Lead Sponsor	Technical University of Munich
Conditions	Cancer, Shared Decision Making, Artificial Intelligence
Enrollment	7,151 participants
Start Date	2025-03-01
Primary Completion	2025-05-01 (estimated)
Study Completion	2025-05-01 (estimated)
Updated on ClinicalTrials.gov	2026-04-30