⚡ Quick Summary

The study successfully adapted and validated the Medical Quality Video Evaluation Tool (MQ-VET) into Spanish, addressing the need for reliable health-related video assessments among Spanish-speaking populations. The Spanish MQ-VET demonstrated excellent reliability and strong concurrent validity, making it a valuable resource for enhancing digital health literacy.

🔍 Key Details

• 📊 Participants: 60 individuals (30 healthcare professionals and 30 non-healthcare professionals)
• ⚙️ Methodology: Cross-cultural adaptation using translation, back-translation, and expert review
• 🤖 Technology: AI-based tools for linguistic and cultural refinement
• 🏆 Psychometric Properties: Cronbach’s alpha > 0.90, ICC = 0.81

🔑 Key Takeaways

• 🌍 Growing Demand: Increasing Spanish-speaking population requires accessible digital health content.
• 🔧 AI Integration: AI tools enhanced the adaptation process, ensuring cultural relevance.
• 📈 Strong Validity: The Spanish MQ-VET showed a Pearson r of 0.9435 and Spearman r of 0.9482 (p < 0.0001).
• 📊 Factor Analysis: Revealed a three-factor structure explaining 81.1% of the variance.
• 🏥 Applicability: Useful for both healthcare professionals and the general public.
• 💡 Enhancing Literacy: Aims to improve digital health literacy among Spanish speakers.

📚 Background

The Medical Quality Video Evaluation Tool (MQ-VET) is a standardized instrument designed to assess the quality of health-related videos. However, its availability in English only has limited its use among the growing Spanish-speaking population. This study addresses this gap by developing a Spanish version of the MQ-VET, ensuring that Spanish speakers have access to reliable digital health content.

🗒️ Study

The adaptation and validation of the MQ-VET into Spanish followed rigorous international guidelines. The process included translation, back-translation, and expert reviews to ensure linguistic and cultural accuracy. Additionally, AI-driven tools were utilized to refine the adaptation, enhancing the tool’s relevance for Spanish-speaking users.

📈 Results

The Spanish MQ-VET exhibited excellent reliability with a Cronbach’s alpha greater than 0.90 and an ICC of 0.81. Concurrent validity was confirmed with a Pearson correlation coefficient of 0.9435 and a Spearman correlation coefficient of 0.9482, both statistically significant (p < 0.0001). The linear regression analysis yielded an R² of 0.8902, indicating a strong predictive capability. Furthermore, the Bland-Altman analysis confirmed robust agreement among the assessments.

🌍 Impact and Implications

The successful adaptation of the MQ-VET into Spanish represents a significant advancement in the field of digital health. By providing a reliable tool for assessing health-related video quality, this study enhances the ability of Spanish-speaking populations to critically appraise digital health content. The integration of AI methodologies not only improves the adaptation process but also sets a precedent for future cross-cultural health assessments.

🔮 Conclusion

The Spanish version of the Medical Quality Video Evaluation Tool (MQ-VET) is a reliable and valid instrument that addresses the needs of a growing demographic seeking trustworthy health information. By leveraging AI-driven methodologies, this tool enhances digital health literacy and promotes informed decision-making among Spanish-speaking individuals. Continued research and adaptation efforts are essential to ensure equitable access to quality health resources across diverse populations.

💬 Your comments

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