Human Doctors or AI: Evaluating Patient Satisfaction in Urinary Stone Disease Consultations

Not Applicable

Completed

• Conditions: Patient Satisfaction

• Registration Number: NCT07111845
• Lead Sponsor: Abant Izzet Baysal University

Brief Summary

The goal of this observational study is to understand how satisfied patients are after getting medical advice about urinary stone disease from either a real doctor or an artificial intelligence (AI) chatbot. We want to learn whether people feel more satisfied with the information and support they get from human doctors or from AI tools like ChatGPT, Gemini, Perplexity, or Copilot.

The main questions it aims to answer are:

* Are patients more satisfied after consulting a real doctor or an AI chatbot?

* Does the time spent in the consultation affect satisfaction?

Researchers will compare doctor consultations with consultations from different AI chatbots to see if there are differences in patient satisfaction.

Participants will:

* Ask all their medical questions about urinary stones to one of the sources (a doctor or a specific AI chatbot)

* Fill out a short questionnaire (CSQ-8) to rate how satisfied they felt with the answers they received

Detailed Description

Not available

Study Timeline

• Study Start: 2025-01-01
• Primary Completion: 2025-05-20
• Study Completion: 2025-05-30
• Study First Submitted: 2025-07-25
• Status Verified: 2025-08
• Study First Submitted QC: 2025-08-01
• Last Update Submitted: 2025-08-01
• Study First Posted: 2025-08-08
• Last Update Posted: 2025-08-08

Recruitment & Eligibility

• Status: COMPLETED
• Sex: All
• Target Recruitment: 100

Inclusion Criteria

• Newly diagnosed with urinary stone disease,
• Aged 18 years or older,
• Provided written informed consent to participate in the study.

Exclusion Criteria

• History of previous urinary stone disease, stone-related procedures,
• Presence of other acute medical conditions unrelated to urinary stone disease,
• Cognitive or communication impairments,
• Pregnancy.

Study & Design

• Study Type: INTERVENTIONAL
• Study Design: PARALLEL

Primary Outcome Measures

Name	Time	Method
Patient Satisfaction Score	Within 1 hour after the consultation	Patient satisfaction will be measured using the validated Client Satisfaction Questionnaire (CSQ-8), which consists of 8 items scored on a 4-point Likert scale. The total score ranges from 8 to 32, with higher scores indicating greater satisfaction.

Secondary Outcome Measures

Name	Time	Method
Consultation Duration	During consultation	Total duration (in minutes) of the consultation session (doctor or chatbot) will be recorded and compared across all groups.

Trial Locations

Locations (1)

İzzet Baysal Eğitim ve Araştırma Hastanesi; 🇹🇷 Bolu, Turkey