在急诊室出院后的六个月内实时现实世界的青少年自杀风险数字监测:密集纵向研究的协议
Shira Barzilay1,2, Shai Fine3, Shannel Akhavan2
1Department of Community Mental Health, University of Haifa, Haifa, Israel.
JMIR research protocols
|June 26, 2023
概括
这项研究使用移动传感来预测在急诊室出院后青少年的自杀思想和行为 (STB). 目标数字标记可以改善早期干预并挽救年轻人的生命.
科学领域:
- 数字健康数字健康
- 青少年心理健康 青少年心理健康
- 自杀学是一种自杀学.
背景情况:
- 自杀是青少年死亡的主要原因,自伤预测了自杀风险.
- 对于自杀思想和行为 (STBs) 的急诊室访问正在增加.
- 出院后不充分的后续监测使高风险的青少年容易再次尝试自杀.
研究的目的:
- 检查移动被动传感数据和青少年的性病之间的纵向关联.
- 识别即将发生的自杀风险的实时数字标记.
- 制定客观措施,评估高风险青年的性病风险.
主要方法:
- 90名因性病出院的青少年使用iFeel应用程序对沟通和活动模式进行了6个月的监测.
- 进行了每周的自我报告评估和4次亲自临床评估.
- 机器学习和深度学习模型分析了与性传播疾病相关的被动监测数据,使用半监督和异常检测方法.
主要成果:
- 目前正在招募和跟踪参与者,预计将于2024年完成.
- 预期的发现包括移动传感器数据 (通信,活动) 和STB结果之间的潜在关联.
- 将测试高风险青少年自杀行为预测模型.
结论:
- 从现实数据中获得的数字标记可以客观地评估青少年的自杀风险.
- 这种方法可以为干预,精神病学随访和有针对性的治疗提供信息.
- 新的数字评估可能有助于及时识别和干预,以防止青少年自杀.
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