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. 2025 Jan-Mar;108(1):368504251327507.
doi: 10.1177/00368504251327507. Epub 2025 Mar 28.

Spanish language version of the "Medical Quality Video Evaluation Tool" (MQ-VET): Cross-cultural AI-supported adaptation and validation study

Alvaro Manuel Rodriguez-Rodriguez  1 , Marta De la Fuente-Costa  1   2 , Mario Escalera de la Riva  1   2 , Borja Perez-Dominguez  3 , Sergio Hernandez-Sanchez  4 , Gustavo Paseiro-Ares  5 , Fernando Ramos-Gomez  6 , Jose Casaña-Granell  3 , María Blanco-Diaz  1   2
Affiliations

Spanish language version of the "Medical Quality Video Evaluation Tool" (MQ-VET): Cross-cultural AI-supported adaptation and validation study

Alvaro Manuel Rodriguez-Rodriguez et al. Sci Prog. 2025 Jan-Mar.

Abstract

Background: The 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.

Objective: To 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 methods: Following 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.

Results: The 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.

Conclusions: The 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.

Keywords: Spanish-language tools; Validation studies; artificial intelligence; cross-cultural adaptation; health literacy; health videos evaluation; healthcare education; psychometric analysis.

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Conflict of interest statement

Declaration of conflicting interestsThe authors declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Figures

Figure 1.
Figure 1.
Flow diagram of the cross-cultural adaptation.
Figure 2.
Figure 2.
Bland–Altman plot for normalized MQ-VET and DISCERN scores. MQ-VET: Medical Quality Video Evaluation Tool.
Figure 3.
Figure 3.
Scree plot for MQ-VET. MQ-VET: Medical Quality Video Evaluation Tool.
See this image and copyright information in PMC

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