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开发并验证了一个用于评估基于 YouTube 的医学视频的工具。

Development and validation of a tool for evaluating YouTube-based medical videos.

机构信息

Department of Physical Medicine and Rehabilitation, Sultan II. Abdülhamid Han Training and Research Hospital, Selimiye, Tıbbiye Street Üsküdar, Istanbul, 34668, Turkey.

Department of Physical Medicine and Rehabilitation, Gaziosmanpasa Training and Research Hospital, Istanbul, Turkey.

出版信息

Ir J Med Sci. 2022 Oct;191(5):1985-1990. doi: 10.1007/s11845-021-02864-0. Epub 2021 Nov 25.

DOI:10.1007/s11845-021-02864-0
PMID:34825344
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8616030/
Abstract

BACKGROUND/AIMS: Today, one of the ways to access medical information is the internet. Our objective was to develop a measurement tool to assess the quality of online medical videos.

METHODS

Online videos covering a variety of subjects (COVID-19, low back pain, weight loss, hypertension, cancer, chest pain, vaccination, asthma, allergy, and cataracts) were evaluated using our Medical Quality Video Evaluation Tool (MQ-VET) by 25 medical and 25 non-medical professionals. Exploratory factor analysis, Cronbach's alpha, and correlation coefficients were used to assess the validity and reliability of the MQ-VET.

RESULTS

The final MQ-VET consisted of 15 items and four sections. The Cronbach's alpha reliability coefficient for the full MQ-VET was 0.72, and the internal consistency for all factors was good (between 0.73 and 0.81). The correlation between the DISCERN questionnaire scores and MQ-VET scores was significant.

CONCLUSION

Collectively, our findings indicated that the MQ-VET is a valid and reliable tool that will help to standardize future evaluations of online medical videos.

摘要

背景/目的:如今,获取医学信息的途径之一是互联网。我们的目标是开发一种测量工具来评估在线医疗视频的质量。

方法

使用我们的医疗质量视频评估工具(MQ-VET),由 25 名医学专业人员和 25 名非医学专业人员评估涵盖各种主题(COVID-19、下腰痛、减肥、高血压、癌症、胸痛、疫苗接种、哮喘、过敏和白内障)的在线视频。采用探索性因子分析、克朗巴赫 α 系数和相关系数来评估 MQ-VET 的有效性和可靠性。

结果

最终的 MQ-VET 由 15 个项目和 4 个部分组成。完整的 MQ-VET 的克朗巴赫 α 可靠性系数为 0.72,所有因子的内部一致性都很好(在 0.73 到 0.81 之间)。DISCERN 问卷评分与 MQ-VET 评分之间存在显著相关性。

结论

总体而言,我们的研究结果表明,MQ-VET 是一种有效且可靠的工具,将有助于规范未来对在线医疗视频的评估。

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