Tracking AI/LLM Literacy and Knowledge in Urology Outpatients (TALK-U)

Dr Abdurrahman Yurtaslan Ankara Oncology Training and Research Hospital

Status: Not yet enrolling

Conditions: Health Information Seeking Behavior; Anxiety

Study type: Observational

Funder types: Other

Identifiers

NCT07325617

2025-06/98

Details and patient eligibility

About

This study is a one-time, questionnaire-based survey of adults attending a urology outpatient clinic. The investigators will examine whether patients who use AI chat tools based on large language models (LLMs), such as ChatGPT, before seeking care differ from non-users in (1) anxiety, (2) satisfaction with the clinic visit, and (3) awareness/understanding of their health condition.

Participants who provide written informed consent will complete a brief survey during their clinic visit (about 5-7 minutes). The survey includes a standardized anxiety scale (GAD-7), visual analog scales (0-10) for anxiety before and after the visit, satisfaction, and disease awareness, as well as questions about AI/LLM knowledge and use. Treating clinicians will not have access to participants' survey responses, and participation will not affect clinical care.

Full description

The TALK-U study is a cross-sectional, observational survey conducted in the urology outpatient clinic of Dr. Abdurrahman Yurtaslan Ankara Oncology Training and Research Hospital. The primary exposure is self-reported AI/LLM knowledge and use for health information (e.g., whether participants have used ChatGPT or similar tools, frequency, awareness of AI, and purpose of use). The primary outcome is anxiety measured by GAD-7 at the time of the clinic encounter. Secondary outcomes include (i) anxiety assessed on a 0-10 visual analog scale before and after the visit, (ii) outpatient visit satisfaction (0-10 VAS), and (iii) perceived disease awareness/understanding (0-10 VAS).

Eligible adult first-time urology outpatients who can complete the survey independently and provide informed consent will be invited during a 2-month recruitment period. Analyses will compare outcomes between AI/LLM users and non-users and explore associations with age group (<40, 40-60, >60), education level, and urology subspecialty category. Data will be analyzed using appropriate parametric/nonparametric tests depending on distribution, with p < 0.05 considered statistically significant.

Enrollment: 400 estimated patients

Sex: All

Ages: 18+ years old

Volunteers: No Healthy Volunteers

Inclusion criteria

• Age 18 years or older
• First-time visit to the Urology Outpatient Clinic
• Able to read and write and complete the questionnaire independently
• Able to provide written informed consent

Exclusion criteria

• Age under 18 years
• Insufficient literacy to understand and complete the questionnaire
• Severe hearing or visual impairment, or a neurological/psychiatric condition that prevents understanding and completing the survey
• Refusal or inability to provide informed consent
• Currently under follow-up for a known urologic condition (i.e., not a first-time urology outpatient visit)

Trial design

400 participants in 2 patient groups

AI/LLM users

Description:

Participants who report prior use of AI chat tools based on large language models (e.g., ChatGPT or similar) for health information before the outpatient urology visit, as assessed by the study questionnaire.

non AI/LLM users

Description:

Participants who report no prior use of AI/LLM chat tools (e.g., ChatGPT or similar) for health information before the outpatient urology visit, as assessed by the study questionnaire.