Freely Available Training Videos for Suicide Prevention: Scoping Review.
Freely Available Training Videos for Suicide Prevention: Scoping Review.
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免费提供的异步实施支持可以减少循证实践培训的资源负担，以促进吸收。免费提供的基于网络的培训视频已经激增，但还没有努力量化它们的广度，深度和内容，以预防自杀。本研究介绍了从范围审查免费提供的自杀预防培训视频的结果，并描述了审查这些视频的方法框架。使用4个大型视频共享平台（YouTube、Vimeo、Bing Video和Google Video）对自杀预防实践的免费培训视频（≥2分钟）进行了范围审查。对识别的自杀预防培训视频（N=506）进行了审查和编码。大多数内容针对看门人或其他非专业提供者（n=370）与临床提供者（n=136）。最常提供的视频内容与自杀想法或行为有关（n=420）。许多视频（n=274，54.2%）包含为某些社区或组织设计的内容。不到一半（n=232，45.8%）的培训视频包括与自杀预防评估或干预有关的正式临床内容。结果表明，大量的视频提供了广泛的信息内容（例如，“有自杀风险的人的体征和症状”）和有限部分的视频教学内容，旨在为临床提供者提供正式的基于证据的评估或干预措施，以预防自杀。可能需要开发资源，以解决已查明的差距。未来的工作可能会利用机器学习技术来加快审查过程。
Freely available and asynchronous implementation supports can reduce the resource burden of evidence-based practice training to facilitate uptake. Freely available web-based training videos have proliferated, yet there have been no efforts to quantify their breadth, depth, and content for suicide prevention. This study presents results from a scoping review of freely available training videos for suicide prevention and describes a methodological framework for reviewing such videos. A scoping review of freely available training videos (≥2 minutes) for suicide prevention practices was conducted using 4 large video-sharing platforms: YouTube, Vimeo, Bing Video, and Google Video. Identified suicide prevention training videos (N=506) were reviewed and coded. Most content was targeted toward gatekeepers or other lay providers (n=370) versus clinical providers (n=136). Videos most commonly provided content related to suicidal thoughts or behaviors (n=420). Many videos (n=274, 54.2%) included content designed for certain communities or organizations. Less than half (n=232, 45.8%) of training videos included formal clinical content pertaining to assessment or intervention for suicide prevention. Results suggested an abundance of videos providing broad informational content (eg, “signs and symptoms of someone at risk for suicide”) and a limited portion of videos with instructional content aimed at clinical providers delivering formal evidence-based assessments or interventions for suicide prevention. Development of resources to address identified gaps may be needed. Future work may leverage machine learning techniques to expedite the review process.