Evaluating an AI-Generated Health Podcast

Qassim University

Status: Enrolling

Conditions: Artificial Intelligence; Public Health; Feasibility Studies

Treatments: Other: AI-Generated Health Podcast Evaluation; Other: Expert Evaluation of Adapted Questionnaire

Study type: Observational

Funder types: Other

Identifiers

NCT06891495

QassimU5

Details and patient eligibility

About

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.

Full description

Background and Rationale Recent advances in digital media have underscored the potential of podcasts as an innovative medium for disseminating healthcare information. Traditional health podcasts, while valuable, often suffer from limitations such as lengthy duration, inconsistent quality, and the use of complex medical jargon that may hinder public understanding. In contrast, artificial intelligence (AI)-driven content generation offers an opportunity to create concise, standardized, and accessible audio content. This study leverages Google NotebookLM to generate a podcast on gum health and prevention using publicly available information from the American Academy of Periodontology (AAP). By doing so, the research aims to explore whether an AI-generated health podcast can effectively enhance public health literacy.

Objectives

The primary objective of this pilot study is to evaluate the feasibility and validity of an AI-generated health podcast as an educational tool for the general public. Specific objectives include:

1. Questionnaire Development: Develop and validate a structured questionnaire-adapted from the Questionnaire for Assessing Educational Podcasts (QAEP)-that captures public perceptions regarding podcast accessibility, design, content adequacy, and educational value.
2. Reliability and Validity Testing: Assess the reliability and content validity of the newly developed questionnaire through expert evaluation and statistical analysis.
3. Public Evaluation of Podcast Quality: Assess the general public's perceptions of the AI-generated health podcast, focusing on its accessibility, design, content quality, and overall educational value, using the validated questionnaire.

Study Design and Methods

This study is designed as a prospective, observational feasibility pilot. It consists of two phases:

Phase 1: Instrument Development and Expert Validation A questionnaire was developed using QAEP as a benchmark and then refined based on feedback from 10 experts (including dental, public health, and communication specialists). Statistical analyses (Cronbach's Alpha, Content Validity Index, and Exploratory Factor Analysis) were conducted to ensure the tool's reliability and validity.

Phase 2: Public Pilot Evaluation The validated questionnaire was administered via an online Google Form to 30 general public participants. Demographic data-including age, gender, educational background, and English audio comprehension-were collected to contextualize the findings.

Enrollment: 30 estimated patients

Sex: All

Ages: 18+ years old

Volunteers: Accepts Healthy Volunteers

Inclusion and 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

Trial design

30 participants in 2 patient groups

Expert Validation Group

Description:

This group comprises approximately 10 subject matter experts-including dental specialists, public health professionals, and communication experts-who are engaged in evaluating and refining the adapted questionnaire. Their feedback on clarity, relevance, and content validity is used to ensure that the measurement tool is scientifically robust before its deployment in the subsequent phase of the study.

Treatment:

Other: Expert Evaluation of Adapted Questionnaire

Other: AI-Generated Health Podcast Evaluation

General Public Cohort

Description:

This group includes approximately 30 participants from the general public representing diverse ages, genders, and educational backgrounds. Participants in this cohort will listen to the AI-generated health podcast (focused on gum health and prevention) and then complete the validated questionnaire to assess the podcast's accessibility, design, content adequacy, and educational value.

Treatment:

Other: Expert Evaluation of Adapted Questionnaire

Other: AI-Generated Health Podcast Evaluation