SinusitisNCT07140250
Using ChatGPT to Help Guide Treatment for Sinus and Nasal Problems
A study testing Education with AI Technology and Education using Traditional Internet Search Engines in people with Sinusitis and Nasal Obstruction, run by Carol Yan at 1 site in United States.
Trial 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. Read more about this study
- Who is it for?
- Ages 18 years and olderHealthy volunteers can take part
- Conditions the study is for
- Sinusitis, Nasal Obstruction, Rhinitis
- What is being tested?
- Education with AI Technology and Education using Traditional Internet Search Engines
- Could I receive a placebo?
- Yes, some participants may receive a placebo
- How many people
- 60 participants
- Where
- 1 siteUnited States
- Study dates
- 1 Jun 2024to 1 Jan 2025
- Phase
- Interventional
- Are there results?
- None posted in the registry
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 18 years and older
- All sexes
- Healthy volunteers accepted
- Adult, Older adult
Who may be able to join
- 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
Who cannot join
- 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
Trial locations and contacts
1 site in 1 country.
About this study
Official title: Shared Decision-Making With ChatGPT for Patients With Sinusitis and Nasal Obstruction
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:
Read more
- 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)
- Conditions
- Sinusitis, Nasal Obstruction, Rhinitis
- Being tested
- Education with AI Technology, Education using Traditional Internet Search Engines
- Keywords
- sinusitis, shared decision making, rhinitis, chatGPT, nasal obstruction
- Medical subject headings
- Sinusitis, Nasal Obstruction, Rhinitis
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
Education with AI TechnologyOther
Shared decision making (SDM) about sinusitis treatment will be facilitated by AI technology via ChatGPT
Education using Traditional Internet Search EnginesOther
Participant Education in Sinusitis using Traditional Internet Search Engines through Google
| Study group | Role | What they receive |
|---|---|---|
| Shared Decision Making on Sinusitis Treatment Facilitated by ChatGPT | Active comparator | Shared decision making (SDM) about sinusitis treatment will be facilitated by ChatGPT through participant driven question and answers using AI support via ChatGPT Receives: Other: Education with AI Technology |
| Shared Decision Making on Sinusitis Treatment Facilitated by Google | Placebo comparator | Shared decision making (SDM) about sinusitis treatment will be facilitated by traditional internet search engines (Google) with AI mode off. Participate education on sinusitis treatment will be driven by traditional internet searches Receives: Other: Education using Traditional Internet Search Engines |
What is being measured
The primary outcome is the main question the study is designed to answer.
Decisional Conflict Scale (DCS) score
Change in Decisional Conflict Scale (DCS) score
Measured: Immediate - Following completion of education using AI vs traditional education
Secondary outcomes (2)
System usability scale (SUS) scores
Measured: Immediate following education
Score on treatment-related knowledge questionnaire (MCQ)
Measured: Immediate following education
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted24 Aug 2025
- Study start1 Jun 2024
- Primary completion1 Jan 2025
- Study completion1 Jan 2025
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Other trials for SinusitisStudies of the same condition, open and under way.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Interventional
- Phase
- Phase N/A
- Primary purpose
- Health services research
- Allocation
- Randomised
- Intervention model
- Parallel groups
- Masking
- None (open label)
- Enrolment
- 60 participants (actual)
Sponsor and investigators
- Lead sponsor
- Carol Yan
- Sponsor type
- University, hospital or other
- Responsible party
- Sponsor-investigator, Carol Yan, University of California, San Diego
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT07140250
- Sponsor's protocol ID
- 810119
- Status last verified
- Aug 2025
- First submitted
- 18 Aug 2025
- Last updated
- 24 Aug 2025
- Results posted
- No
- Data monitoring committee
- No
- FDA-regulated drug
- No
- FDA-regulated device
- No
- Individual data sharing
- Undecided
Study at a glance
From the registry record, last updated by the sponsor on 24 Aug 2025. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Shared Decision-Making With ChatGPT for Patients With Sinusitis and Nasal Obstruction
- ClinicalTrials.gov ID
- NCT07140250
- Acronym / sponsor ID
- 810119
- Conditions
- Sinusitis, Nasal Obstruction, Rhinitis
- Keywords
- sinusitis, shared decision making, rhinitis, chatGPT, nasal obstruction
- Study type
- Interventional
- Recruitment status
- Completed
- Enrolment
- 60 participants (actual)
- Lead sponsor
- Carol YanUniversity, hospital or other
- Study start
- 1 Jun 2024 (actual)
- Primary completion
- 1 Jan 2025 (actual)
- Study completion
- 1 Jan 2025 (actual)
- First posted
- 24 Aug 2025 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
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)
Study design
- Primary purpose
- Health services research
- Allocation
- Randomised
- Intervention model
- Parallel groups
- Masking
- None (open label)
- Number of arms
- 2
| Arm | Type | Receives |
|---|---|---|
| Shared Decision Making on Sinusitis Treatment Facilitated by ChatGPT | Active comparator | Other: Education with AI TechnologyShared decision making (SDM) about sinusitis treatment will be facilitated by ChatGPT through participant driven question and answers using AI support via ChatGPT |
| Shared Decision Making on Sinusitis Treatment Facilitated by Google | Placebo comparator | Other: Education using Traditional Internet Search EnginesShared decision making (SDM) about sinusitis treatment will be facilitated by traditional internet search engines (Google) with AI mode off. Participate education on sinusitis treatment will be driven by traditional internet searches |
Who may qualify
- Ages
- 18 years and older
- Sex
- All
- Healthy volunteers
- Accepted
- Age groups
- Adult, Older adult
Key inclusion criteria (4 listed)
- 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
Key exclusion criteria (4 listed)
- 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
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Interventions
| Intervention | Type | Arms |
|---|---|---|
| Education with AI TechnologyShared decision making (SDM) about sinusitis treatment will be facilitated by AI technology via ChatGPT | Other | Shared Decision Making on Sinusitis Treatment Facilitated by ChatGPT |
| Education using Traditional Internet Search EnginesParticipant Education in Sinusitis using Traditional Internet Search Engines through Google | Other | Shared Decision Making on Sinusitis Treatment Facilitated by Google |
Primary outcome
Decisional Conflict Scale (DCS) score
Time frame: Immediate - Following completion of education using AI vs traditional education
Change in Decisional Conflict Scale (DCS) score
2 secondary outcomes
System usability scale (SUS) scores
Time frame: Immediate following education
Score on treatment-related knowledge questionnaire (MCQ)
Time frame: Immediate following education
Results and safety
The study is completed, but results are not available in the source record. That does not mean the treatment did or did not work.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 24 Aug 2025.
- Individual participant dataSharing planned: Undecided
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Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part. This study is not recruiting at the moment.
The record lists no contact. Use the official record to reach the sponsor.
1 site in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
A study testing Education with AI Technology and Education using Traditional Internet Search Engines in people with Sinusitis and Nasal Obstruction, run by Carol Yan at 1 site in United States.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 4 inclusion and 4 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: finished, as of the sponsor's last update on 24 Aug 2025. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 1 site in United States. Whether a site is taking part right now should be confirmed with that site. See every site.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. Some participants in this study may receive a placebo. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
The study is completed, but results are not available in the source record. That does not mean the treatment did or did not work.
How can a doctor refer a patient or contact the research team?
The record lists no contact. The official record names the sponsor, who can be asked directly. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
Decisional Conflict Scale (DCS) score (time frame: Immediate - Following completion of education using AI vs traditional education). It is what the study was designed to measure, not a finding.
Where can I read the original study information?
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 24 Aug 2025.