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YouTube 上的神经调节、深部脑刺激和脊髓刺激:搜索词的内容质量分析。

Neuromodulation, Deep Brain Stimulation, and Spinal Cord Stimulation on YouTube: A Content-Quality Analysis of Search Terms.

机构信息

Department of Neurosurgery, Rutgers New Jersey Medical School, Newark, New Jersey.

Department of Neurosurgery, University of California San Diego, La Jolla, California.

出版信息

World Neurosurg. 2021 Jul;151:e156-e162. doi: 10.1016/j.wneu.2021.03.151. Epub 2021 Apr 5.

DOI:10.1016/j.wneu.2021.03.151
PMID:33831615
Abstract

BACKGROUND

YouTube is one of the most widely accessed platforms for patients seeking information across all medical specialties. More than 50% of patients engage with online information before seeing a physician. There has been no qualitative analysis of neuromodulation content on YouTube.

METHODS

By evaluating the search interest of neuromodulation terms via Google Trends, the authors selected 3 search terms to assess on YouTube. For each term, the top 20 videos were selected, 10 sorting by view count and 10 by relevance. DISCERN criteria were used to evaluate each video. Statistical analysis was performed with R software to discover associations among video characteristics and DISCERN scores (DSs).

RESULTS

Neuromodulation, deep brain stimulation, and spinal cord stimulation terms were searched. There were 52 unique and 8 duplicate videos, which were excluded. The videos received 6,984,743 combined views (134,321 average). Neurosurgeons were the most common authors, producing 22 videos, followed by anesthesiologists with 10 videos. Statistical analysis showed that videos that were sponsored (DS 44.79 vs. 34.53; P < 0.011), had board-certified physicians (DS 42.88 vs. 31.25; P < 0.004), and had credentials of the video producer (DS 41.82 vs. 34.42; P < 0.044) were more likely to have higher DSs. Spinal cord stimulation videos had the lowest quality of the search terms (DS 30.9 vs. 39.2, 42.6; P < 0.043).

CONCLUSIONS

Certain characteristics of YouTube videos are associated with higher quality. Video producers should aim to use these characteristics and follow DISCERN criteria when preparing online videos.

摘要

背景

YouTube 是患者在寻求各医学专业信息时最常访问的平台之一。超过 50%的患者在看医生前会查阅在线信息。目前还没有对 YouTube 上神经调节内容的定性分析。

方法

通过评估 Google Trends 上神经调节术语的搜索热度,作者选择了 3 个术语在 YouTube 上进行评估。对于每个术语,选择前 20 个视频,其中 10 个按观看次数排序,10 个按相关性排序。使用 DISCERN 标准评估每个视频。使用 R 软件对视频特征与 DISCERN 评分(DS)之间的关系进行统计分析。

结果

搜索了神经调节、深部脑刺激和脊髓刺激术语。共有 52 个唯一视频和 8 个重复视频被排除。这些视频的总观看次数为 6984743 次(平均 134321 次)。神经外科医生是最常见的作者,制作了 22 个视频,其次是麻醉师,制作了 10 个视频。统计分析表明,赞助的视频(DS 44.79 比 34.53;P < 0.011)、有认证医师(DS 42.88 比 31.25;P < 0.004)和视频制作方有资质(DS 41.82 比 34.42;P < 0.044)的视频更有可能获得更高的 DS。脊髓刺激视频的搜索词质量最低(DS 30.9 比 39.2、42.6;P < 0.043)。

结论

YouTube 视频的某些特征与更高的质量相关。视频制作方在制作在线视频时应努力使用这些特征并遵循 DISCERN 标准。

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