在基于文本的干预服务选中检查自杀意念属性尺度的属性
概括
自杀念头属性尺度 (SIDAS) 在现实世界危机服务中显示了类似的心理表现. 然而,它在识别基于文本的干预措施的高风险用户方面的价值似乎有限,即使有修订的截止值.
科学领域:
- 精神病学是一个精神病学.
- 临床心理学 临床心理学
- 数字健康数字健康
背景情况:
- 基于文本的危机服务对于预防自杀至关重要.
- 选工具对于识别危机中的高风险个人至关重要.
- 自杀想法属性尺度 (SIDAS) 用于评估自杀风险.
研究的目的:
- 在现实世界中评估SIDAS的心理测量特性.
- 评估SIDAS用于识别基于文本的危机服务中的高风险用户的预测有效性.
- 确定是否将SIDAS与自杀意图问题结合起来可以改善高风险用户的检测.
主要方法:
- 基于文本的危机服务的1,480名用户完成了法国的SIDAS和自杀意图问题.
- 用确认因素分析和ROC分析来评估心理特征.
- 用辅导员的风险评估来评估预测有效性.
主要成果:
- 西达斯表现出良好的内部一致性 (ω = .80) 和一个单一因素结构.
- 对区分高风险用户的敏感性和特异性很低.
- 将SIDAS添加到自杀意图问题中,在统计学上显著但适度地增加了解释的差异.
结论:
- 在现实世界基于文本的危机服务中,SIDAS表现出可比的心理测量性能.
- 对于识别高风险个体的SIDAS的临床实用性似乎有限.
- 需要进一步讨论SIDAS的实用性以及在数字心理健康干预中对分拣的修订截止值.
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