Evaluating an AI-generated health podcast on gum health
Official title: Feasibility and Validity Assessment of an AI-Generated Health Podcast: A Pilot Observational Study
Run by Qassim University · NCT06891495 · Data updated 2026-11-12
This study tests whether an AI-generated podcast about gum health can help both the general public and healthcare experts understand and value dental care better.
Quick facts
| Study type | Observational |
|---|---|
| Ages | 18 Years and up |
| Sex | All |
| Enrollment | 30 (estimated) |
| Sponsor | Qassim University Academic / other |
| Locations | 1 site (Al Kharj, Al Qassim) |
| Status | Recruiting |
| Started | February 7, 2025 |
| Main results expected | April 15, 2025 |
| Study ends | May 20, 2025 |
| Registry record updated | March 26, 2025 |
| Trial ID | NCT06891495 on ClinicalTrials.gov |
Is this trial a fit for you?
✓Likely a good fit
Ideal candidates include adults aged 18 and older who are fluent in English and have access to digital audio devices.
✕Probably not a fit
Patients who do not have access to the internet or digital audio devices may not benefit from this study.
A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.
What this trial studies
This observational study explores the effectiveness of an AI-generated podcast that delivers health information about gum health and prevention. Utilizing Google NotebookLM, the podcast is created from verified content provided by the American Academy of Periodontology, aiming to present health topics in a concise and accessible manner. The study involves developing a questionnaire to assess public perceptions of the podcast's accessibility, design, and educational value. Participants include both healthcare experts and the general public, who will provide feedback on the podcast and its content.
Why it matters
Potential benefit: If successful, this approach could enhance public health literacy by providing clear and engaging health information.
How similar studies have gone: While the use of AI in content generation is a novel approach, other studies have shown success in using digital media for health education.
Who can join: the full rules
Show full inclusion / exclusion criteria
Expert Group Inclusion Criteria: * Licensed professionals and recognized experts in relevant fields such as dentistry, public health, and health communication * Minimum of 5 years of professional experience in their respective fields * Prior involvement in healthcare education, research, or digital health communication * Willingness to review and provide detailed feedback on the adapted questionnaire * Ability to complete the survey in English Exclusion Criteria: * Professionals without formal training or relevant expertise in the specified fields * Individuals with conflicts of interest that might compromise the objectivity of their evaluations * Experts who are unable to commit the necessary time to provide thorough feedback General Public Group Inclusion Criteria: * Adults aged 18 years or older * Individuals fluent in English * Access to a digital audio device and an internet connection to listen to the podcast and complete the survey * Consent to participate in the study Exclusion Criteria: * Individuals with significant hearing impairments that might hinder the ability to comprehend the audio content * Healthcare professionals or individuals with advanced training in dentistry or health communication * Persons who have participated in similar educational podcast studies previously
Where it's running
-
College of Applied Medical Sciences
Al Kharj, Al Qassim, Saudi Arabia Recruiting
Study contacts
- Principal investigator: Shiva Shankar Bugude, MDS — Qassim University
- Study coordinator: Shiva Shankar Bugude, MDS
- Email: S.ggg@qu.edu.sa
- Phone: +966531476028
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How to take part
- Review the eligibility criteria above with your treating physician.
- Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
- Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.