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Assessing the Quality of Vision Therapy Content on TikTok for Pediatric Visual and Learning Disorders
Ishan Bhanot1, Karanpreet Multani1, Michael Puente2
1College of Medicine, University of Oklahoma, Oklahoma City, Oklahoma.
Journal of Pediatric Ophthalmology and Strabismus
|December 2, 2025
Summary
Social media content on vision therapy for pediatric visual and learning disorders is largely inaccurate, originating from non-medical sources. This misinformation may delay evidence-based care, highlighting the need for expert input.
Area of Science:
- Ophthalmology
- Pediatric Optometry
- Health Communication
- Social Media Analysis
Background:
- Social media platforms are increasingly influential in shaping health decisions.
- Concerns exist regarding the accuracy and origin of health information shared online.
- Pediatric visual and learning disorders are a growing area of public health interest.
Purpose of the Study:
- To evaluate the quality and source of online health information regarding vision therapy.
- To analyze content related to the treatment of pediatric visual and learning disorders on social media.
Main Methods:
- Analysis of 147 popular videos across nine hashtags related to vision therapy.
- Content assessment using DISCERN and Global Quality Scoring (GQS) systems.
- Identification of content creators, including behavioral optometrists and vision therapy clinics.
Main Results:
- Vision therapy content was predominantly created by behavioral optometrists (32.2%) and clinics (21.2%).
- The analyzed social media content scored poorly on both DISCERN and GQS, indicating widespread misinformation.
- Misinformation poses a risk of delaying evidence-based care for pediatric visual and learning disorders.
Conclusions:
- There is a significant prevalence of inaccurate health information concerning vision therapy on social media.
- Increased engagement from ophthalmologists and medical professionals is crucial to provide accurate, research-backed information.
- Future research should expand to multiple platforms to better understand online health misinformation.
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