Use and Acceptance of Large Language Models in Oncological Shared Decision-Making Among Patients, the Public, and Healthcare Professionals
Sponsor: Technical University of Munich
Trial Details
| Condition | Cancer, Shared Decision Making, Artificial Intelligence |
| Status | Completed |
| Participants | 7,151 |
| Est. Completion | 1 May 2025 |
| Last Updated | 30 Apr 2026 |
Primary Outcome
Healthcare-specific large language model usage rate; Future belief in large language model improvement of shared decision-making; Barriers to large language model adoption
Eligibility Criteria
Inclusion Criteria
Inclusion Criteria: Age 18 years or older English language proficiency Regular internet access Registered on the Prolific research platform For cancer patient cohort: self-reported cancer diagnosis within the past five years For healthcare professional cohort: licensed healthcare practitioner with active patient contact For general population cohort: resident of the United States or United Kingdom Exclusion Criteria: Failure on embedded attention check questions (4 checks) Survey completion time outside acceptable range (less than 5 minutes or greater than 60 minutes) Straight-line responding pattern detected by consistency validation algorithms Failure of cohort verification procedures
Trial Sites
Countries
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