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Using ChatGPT to Help Guide Treatment for Sinus and Nasal Problems

Shared Decision-Making With ChatGPT for Patients With Sinusitis and Nasal Obstruction

Status
Completed
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT07140250
Enrollment
60
Registered
2025-08-24
Start date
2024-06-01
Completion date
2025-01-01
Last updated
2025-08-24

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Nasal Obstruction, Rhinitis, Sinusitis

Keywords

sinusitis, shared decision making, rhinitis, chatGPT, nasal obstruction

Brief summary

The goal of this clinical trial is to evaluate whether ChatGPT can improve shared decision-making by increasing treatment-related knowledge and reducing decisional conflict in adult patients with chronic rhinosinusitis (CRS) or nasal obstruction who have been deemed candidates for surgery. The main questions it aims to answer are: * Does ChatGPT improve patient understanding of CRS/nasal obstruction treatment options compared to widely utilized web searches? * Does ChatGPT reduce decisional conflict regarding surgical versus medical management compared to traditional search engine? Researchers will compare a group using Google (standard internet search with AI turned off) after standard counseling to a group using ChatGPT after standard counseling to see if ChatGPT leads to higher knowledge scores, lower decisional conflict scores, and higher satisfaction with the information platform. Participants will: * Complete baseline surveys assessing demographics, treatment-related knowledge, and decisional conflict * Be randomized to use either Google or ChatGPT to research their surgery for 10 minutes after standard in-office counseling * Complete follow-up surveys assessing knowledge, decisional conflict, and satisfaction with the information source * Allow the research team to review their medical record for relevant clinical history and disease-specific quality-of-life scores (SNOT-22)

Interventions

OTHEREducation with AI Technology

Shared decision making (SDM) about sinusitis treatment will be facilitated by AI technology via ChatGPT

OTHEREducation using Traditional Internet Search Engines

Participant Education in Sinusitis using Traditional Internet Search Engines through Google

Sponsors

Carol Yan
Lead SponsorOTHER

Study design

Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
HEALTH_SERVICES_RESEARCH
Masking
NONE

Eligibility

Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
Yes

Inclusion criteria

* Adult (18 years or older) UC San Diego Health System Rhinology patients * Diagnosis of chronic rhinosinusitis and/or nasal obstruction based on clinical criteria or radiologic evidence * Planning to pursue surgical intervention for CRS or nasal obstruction * Ability to complete online survey in English or Spanish

Exclusion criteria

* Unable to complete survey assessments online via REDCap * Under the age of 18 years * Vulnerable patient populations such as those who are pregnant and institutionalized individuals * Patients with benign and malignant tumors

Design outcomes

Primary

MeasureTime frameDescription
Decisional Conflict Scale (DCS) scoreImmediate - Following completion of education using AI vs traditional educationChange in Decisional Conflict Scale (DCS) score

Secondary

MeasureTime frame
System usability scale (SUS) scoresImmediate following education
Score on treatment-related knowledge questionnaire (MCQ)Immediate following education

Countries

United States

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026