AI-Generated Audiovisual Education and Osteoporosis Knowledge

February 21, 2026 updated by: Fatih Bagcier, Kars State Hospital

The Effect of Artificial Intelligence-Generated Audiovisual Education on Osteoporosis Knowledge and Digital Health Literacy

This study aims to enhance osteoporosis awareness and health literacy among individuals through audiovisual digital educational content generated using the NotebookLM artificial intelligence platform, based on educational materials developed by the International Osteoporosis Foundation. In addition, the effects of these audiovisual educational materials on osteoporosis knowledge and digital health literacy will be evaluated.

Study Overview

Detailed Description

Osteoporosis is a major public health problem in aging societies, leading to weakened and fragile bones and resulting in increased morbidity and mortality. Because the disease is largely asymptomatic, many individuals remain unaware of having osteoporosis until a fracture occurs. Osteoporotic fractures may cause chronic pain, functional limitations, loss of independence, and significant deterioration in quality of life. In this context, educational programs aimed at improving patients' knowledge have emerged as an important preventive strategy.

Previous studies have emphasized that osteoporosis education leads to positive changes in patients' knowledge and health-related behaviors. The International Osteoporosis Foundation (IOF) develops educational materials for patient education, provides digital resources through its official website, and publishes informative brochures. In addition, IOF supports early diagnosis, risk assessment, and preventive strategies by developing community-based awareness campaigns, online educational modules, and guideline documents for healthcare professionals. Within this framework, the easy accessibility of digital educational materials facilitates access to information and contributes to improving osteoporosis-related health literacy, particularly in aging populations.

The use of artificial intelligence-based tools has recently attracted attention as a novel approach to delivering these digital contents effectively and reaching individuals more efficiently. NotebookLM is an artificial intelligence-powered research assistant developed by Google that generates accurate and evidence-based content by learning from user-uploaded multimodal sources, such as documents, images, and videos, and by explicitly citing these sources. By enabling the transformation of uploaded content into both audiovisual formats, NotebookLM offers important opportunities for enhancing patient education. One of the key features of NotebookLM is its "source-grounded" approach. By generating information strictly based on researcher-provided sources, this approach enhances transparency, verifiability, and reliability of information in patient education processes.

In line with these features, the NotebookLM platform was utilized for the development of educational materials in this study. Patient-oriented informational pages published by the International Osteoporosis Foundation at https://www.osteoporosis.foundation/patients/about-osteoporosis were uploaded to the NotebookLM platform as source materials. Educational materials in PDF format covering the definition of osteoporosis, risk factors, diagnosis, treatment, and prevention strategies were uploaded to the platform in segments. Based on these materials, audiovisual digital educational contents were generated, including an audio-based digital content series (podcasts) and a visual digital content series (videos). The prepared podcast and video contents were reviewed by two specialist physicians, and their scientific validity and consistency with the current literature were verified.

Following the preparation and validation of these contents, the protocol for participant implementation was designed. Participants will be randomly assigned to two groups. One group will receive audio-based digital educational content (podcast series) generated via the Google NotebookLM platform, while the other group will receive visual digital educational content (video series). In both groups, the Osteoporosis Knowledge Test, the Awareness and Behavioral Intention Questionnaire, and the Health Literacy Questionnaire will be administered before and after the educational intervention to evaluate changes in knowledge level, awareness, and health-related behaviors.

In conclusion, this study aims to enhance osteoporosis awareness and health literacy among individuals through audiovisual digital educational content generated using the NotebookLM artificial intelligence platform, based on educational materials developed by the International Osteoporosis Foundation. In addition, the effects of these audiovisual educational materials on osteoporosis knowledge and digital health literacy will be evaluated.

This prospective, non-interventional survey-based study will be conducted at Gaziantep City Hospital. The patient education contents are based on secure, evidence-based sources and have been verified by physicians. The study represents a public health research initiative that poses no ethical risk, ensures the protection of personal data, and involves educational materials intended solely for educational purposes.

Study Type

Interventional

Enrollment (Actual)

60

Phase

  • Not Applicable

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

    • ŞAHİNBEY
      • Gaziantep, ŞAHİNBEY, Turkey (Türkiye), 27470
        • Gaziantep City Hospital

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Adult
  • Older Adult

Accepts Healthy Volunteers

No

Description

Inclusion Criteria:

  • Individuals aged 45 years and older who have been diagnosed with osteoporosis or are at risk for osteoporosis
  • Ability to read and understand Turkish
  • Ability to use digital devices such as a smartphone, tablet, or computer

Exclusion Criteria:

  • Patients with severe cognitive impairment, a diagnosis of dementia, or neurological disorders that limit effective communication
  • Patients unable to follow audio or video-based educational content due to visual or hearing impairment
  • Patients with serious systemic diseases other than osteoporosis (e.g., malignancy or advanced heart failure)
  • Individuals who have previously participated in an osteoporosis education program
  • Individuals without access to digital platforms

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Primary Purpose: Health Services Research
  • Allocation: Randomized
  • Interventional Model: Parallel Assignment
  • Masking: None (Open Label)

Arms and Interventions

Participant Group / Arm
Intervention / Treatment
Active Comparator: Audio-Based Digital Education (Podcast)
Participants assigned to this arm will receive audio-based digital educational content in the form of a podcast series generated using the NotebookLM artificial intelligence platform. The content is based on educational materials developed by the International Osteoporosis Foundation and covers osteoporosis definition, risk factors, diagnosis, treatment, and prevention strategies. The intervention is limited to educational content delivery and involves no clinical, laboratory, imaging, or invasive procedures.
Active Comparator: Visual Digital Education (Video)
Participants assigned to this arm will receive visual digital educational content in the form of a video series generated using the NotebookLM artificial intelligence platform. The content is based on educational materials developed by the International Osteoporosis Foundation and includes information on osteoporosis definition, risk factors, diagnosis, treatment, and prevention strategies. The intervention consists solely of educational material delivery, with no clinical, laboratory, imaging, or invasive interventions involved.

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Change in Osteoporosis Knowledge Level
Time Frame: Baseline (pre-intervention) and immediately after completion of the educational intervention
Change in osteoporosis knowledge level assessed using the Osteoporosis Knowledge Test, administered before and after the educational intervention.
Baseline (pre-intervention) and immediately after completion of the educational intervention

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Change in Osteoporosis Awareness and Behavioral Intention
Time Frame: Baseline and immediately after completion of the educational intervention
Change in osteoporosis awareness and behavioral intention evaluated using the Awareness and Behavioral Intention Questionnaire before and after the educational intervention. Assessment is limited to self-reported questionnaire data.
Baseline and immediately after completion of the educational intervention
Change in Digital Health Literacy Level
Time Frame: Baseline and immediately after completion of the educational intervention
Change in digital health literacy level assessed using the Health Literacy Questionnaire before and after the educational intervention.
Baseline and immediately after completion of the educational intervention

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

January 1, 2026

Primary Completion (Actual)

January 31, 2026

Study Completion (Actual)

February 1, 2026

Study Registration Dates

First Submitted

February 21, 2026

First Submitted That Met QC Criteria

February 21, 2026

First Posted (Actual)

February 27, 2026

Study Record Updates

Last Update Posted (Actual)

February 27, 2026

Last Update Submitted That Met QC Criteria

February 21, 2026

Last Verified

February 1, 2026

More Information

Terms related to this study

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

NO

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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