Evaluating an AI-Generated Health Podcast

Trial statusRecruiting
Trial phaseNot listed
Trial typeObservational
Biological sexAll
Age18+
SponsorQassim University

About this trial

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.

Eligibility criteria

Qualifiers

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

Disqualifiers

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

Adults aged 18 years or older

Trial design

Treatments tested in this trial

  • Expert Evaluation of Adapted Questionnaire
  • AI-Generated Health Podcast Evaluation

Treatment groups

30 Participants
are divided into 2 treatment groups

Sponsors and collaborators