This study aims to explore a new way of delivering health information using an AI-generated podcast. The podcast, created with Google NotebookLM, uses verified content from the American Academy of Periodontology website to provide easy-to-understand information on gum health and prevention. The goal is to determine whether this AI-generated podcast is a useful, engaging, and clear tool for educating the general public about health topics. Traditional health podcasts often feature expert interviews and can be lengthy, which sometimes limits their appeal and accessibility. By using AI to generate the podcast, investigator hope to offer a more standardized and concise presentation that avoids technical jargon. To evaluate the podcast, investigator developed a questionnaire based on the Questionnaire for Assessing Educational Podcasts (QAEP). This questionnaire was adapted to better suit a non-specialist audience and covers four key areas: how easy the podcast is to access and use, the design and structure of the podcast, the clarity and completeness of the content, and the podcast's value as a learning tool. Before using this questionnaire with the general public, investigator sent it to 10 experts in dentistry, public health, and communication for their review and feedback. Their input helped us make minor modifications to ensure the questionnaire is both clear and scientifically sound. After these revisions, investigator conducted a pilot study with 30 members of the general public who listened to the podcast and completed the questionnaire. This study will assess the feasibility and validity of using an AI-generated podcast as a health education tool. The results will help determine if this approach can effectively improve public understanding of health information and may guide the future design of digital health communication strategies.
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AI-rewrites the medical criteria so a patient or caregiver can understand them. Always confirm with the trial site.
Content Validity Index (CVI) of the Adapted Questionnaire
Timeframe: From 7th February 2025 to 25th February 2025
Internal Consistency Reliability of the Adapted Questionnaire
Timeframe: From 7th February 2025 to 25th February 2025
Public Perception Score of the AI-Generated Health Podcast
Timeframe: From 27th February 2025 to 15th April 2025
Domain-Specific Evaluation Scores of the AI-Generated Health Podcast
Timeframe: From 27th February 2025 to 15th April 2025