Qualitative analysis of Portuguese-language YouTube videos about autism spectrum disorders

Background: In the digital age, social media platforms such as YouTube have become significant channels for disseminating health information, including content related to autism spectrum disorder (ASD). The quality and reliability of this information, especially when produced by healthcare professionals, are crucial for public health education and promotion. This study aims the content of Portuguese-language videos about the treatment of ASD on YouTube, produced by healthcare providers from 2019 to 2023, assessing their quality and alignment with evidence-based practices. Methods: A qualitative exploratory descriptive approach was used, with content analysis based on Bardin's method. A total of 41 videos were selected using keywords related to ASD. Transcriptions were analyzed for discussions on treatment approaches, best practices, and professional recommendations according to DSM-V and ICD-10 guidelines. The quality of information was assessed using the DISCERN questionnaire. Results: The analysis revealed significant variability in the quality of the information. Videos were categorized into four quality groups based on DISCERN scores: good (n = 6), moderate (n = 11), poor (n = 20), and very poor (n = 4). Good quality videos had the highest engagement metrics and overall quality scores. Common themes identified included defining and understanding ASD, ABA interventions and strategies, family and social impact, skills development, and challenges and solutions. Conclusion: While some videos provided accurate, evidence-based information, a substantial portion did not meet minimum quality criteria. This highlights the need for improved mechanisms to ensure the dissemination of reliable health information on social media platforms.