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Spanish language version of the "Medical Quality Video Evaluation Tool" (MQ-VET): Cross-cultural AI-supported adaptation and validation study.
Article in Science progress. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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Who cites it
1 citing paper in PubMed.
- The quality and reliability of endometrial cancer-related videos on social short video platforms: a cross-sectional study.BMC women's health · 2026Article
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe Medical Quality Video Evaluation Tool (MQ-VET) is a standardized instrument for assessing health-related video quality, yet it is only available in English. This study addresses the growing demand for a Spanish version to better support the increasing Spanish-speaking population seeking reliable digital health content.
objectiveTo adapt and validate the MQ-VET into Spanish, ensuring robust psychometric reliability and validity through rigorous cross-cultural adaptation methods, augmented by the integration of artificial intelligence (AI) tools. MATERIALS AND
methodsFollowing international guidelines, the MQ-VET was translated, back-translated, and reviewed by experts. AI-based tools were employed to refine linguistic and cultural accuracy. Psychometric properties were evaluated by 60 participants (30 healthcare and 30 nonhealthcare professionals), focusing on reliability, agreement, and concurrent validity with the DISCERN instrument.
resultsThe Spanish MQ-VET showed excellent reliability (Cronbach's alpha>0.90, ICC=0.81) and strong concurrent validity (Pearson r = 0.9435, Spearman r = 0.9482, p < 0.0001), alongside with a robust linear regression result (R²=0.8902). Bland-Altman analysis confirmed a robust agreement, and AI-driven tools performed the factorial analysis that revealed a clear three-factor structure explaining 81.1% of the variance.
conclusionsThe Spanish MQ-VET is a reliable and valid instrument for assessing the quality of health-related videos, applicable to both healthcare professionals and individuals outside the healthcare field. Leveraging AI-driven methodologies, it serves as a robust resource for enhancing digital health literacy and promoting critical appraisal of video content among Spanish-speaking populations.
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Registered trials
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