随机控制的比较有效性风险试验 风险模型引导的临床决策支持自杀查
medRxiv : the preprint server for health sciences
|April 2, 2024
概括
与非中断性CDS相比,中断性临床决策支持 (CDS) 在神经病学诊所显著增加了对自杀风险的查. 这种方法显示出改善自杀预防策略的希望.
科学领域:
- 临床信息学 临床信息学
- 精神病学是一个精神病学.
- 公共卫生 公共卫生
背景情况:
- 预防自杀需要有效的风险识别,干预和后续行动.
- 传统的方法依赖于自我报告,支持网络或亲自查.
- 统计风险模型是新兴的工具,可以帮助临床判断确定自杀风险.
结论:
- 实时预测性CDS,特别是中断类型,增强了查自杀风险的决策,并增加了记录的风险评估.
- 需要进一步的大规模试验来确认这种CDS方法在减少自杀自伤的有效性.
- 这项研究使用了经过验证的统计风险模型来实时预测自杀企图风险.
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