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

NCT07526441 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 7151

Last updated 2026-04-30

No results posted yet for this study

Summary

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.

Conditions

  • Cancer
  • Shared Decision Making
  • Artificial Intelligence

Sponsors & Collaborators

  • Technical University of Munich

    lead OTHER

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2025-03-01
Primary Completion
2025-05-01
Completion
2025-05-01

Countries

  • Germany

Study Locations

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Entities

Diseases

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT07526441 on ClinicalTrials.gov