Rodriguez-Rodriguez Alvaro Manuel, De la Fuente-Costa Marta, Escalera de la Riva Mario, Perez-Dominguez Borja, Hernandez-Sanchez Sergio, Paseiro-Ares Gustavo, Ramos-Gomez Fernando, Casaña-Granell Jose, Blanco-Diaz María
Physiotherapy and Translational Research Group (FINTRA-RG), Institute of Health Research of the Principality of Asturias (ISPA). University of Oviedo , Oviedo, Spain.
Faculty of Medicine and Health Sciences, University of Oviedo, Oviedo, Spain.
Sci Prog. 2025 Jan-Mar;108(1):368504251327507. doi: 10.1177/00368504251327507. Epub 2025 Mar 28.
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.
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.
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.
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.
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.
医学质量视频评估工具（MQ-VET）是一种用于评估与健康相关视频质量的标准化工具，但目前仅提供英文版本。本研究旨在满足日益增长的对西班牙语版本的需求，以更好地支持越来越多寻求可靠数字健康内容的讲西班牙语的人群。
将MQ-VET改编并验证为西班牙语版本，通过严格的跨文化改编方法确保强大的心理测量学可靠性和有效性，并结合人工智能（AI）工具进行强化。
遵循国际指南，对MQ-VET进行翻译、回译并由专家进行审查。采用基于AI的工具来提高语言和文化准确性。由60名参与者（30名医疗保健专业人员和30名非医疗保健专业人员）评估心理测量学特性，重点关注与DISCERN工具的可靠性、一致性和同时效度。
西班牙语版MQ-VET显示出出色的可靠性（Cronbach's alpha>0.90，ICC = 0.81）和强大的同时效度（Pearson r = 0.9435，Spearman r = 0.9482，p < 0.0001），同时具有稳健的线性回归结果（R² = 0.8902）。Bland-Altman分析证实了强大的一致性，并且AI驱动的工具进行了因子分析，揭示了一个清晰的三因素结构，解释了81.1%的方差。
西班牙语版MQ-VET是一种可靠且有效的工具，可用于评估与健康相关视频的质量，适用于医疗保健专业人员和医疗保健领域以外的个人。利用AI驱动的方法，它是提高数字健康素养和促进讲西班牙语人群对视频内容进行批判性评估的强大资源。
