精神病医院住院的跨诊断早期预警分数:开发和评估一个预测模型
Maxime Taquet1,2, Seena Fazel3,2, A John Rush4
1Department of Psychiatry, University of Oxford, Oxford, UK maxime.taquet@psych.ox.ac.uk.
BMJ mental health
|July 17, 2025
概括
一个新的早期预警得分准确地预测了使用简单的纵向测量来预测精神病医院住院的风险. 该工具有助于针对高风险个体进行预防性干预,改善患者的治疗结果.
科学领域:
- 精神病学是一个精神病学.
- 临床信息学 临床信息学
- 医疗保健服务研究 医疗服务研究
背景情况:
- 对精神病医院住院决定的临床判断容易产生偏见,原因是缺乏早期预警分数.
- 预防性干预至关重要,但它们的启动依赖于主观评估.
研究的目的:
- 开发和外部验证用于预测精神病医院住院的跨诊断评分.
- 创建一个可靠的工具来识别患有精神病入院高风险的个人.
主要方法:
- 来自20个医疗保健机构的非身份化电子健康记录的回顾性队列研究.
- 在六个月内使用临床严重程度和功能指标开发了一个预测得分.
- 在外部样本中验证得分的歧视和校准,评估跨种族群体的跨诊断有效性和表现.
主要成果:
- 预测模型在培训 (c指数:0.74) 和外部验证 (c指数:0.80) 样本中显示出良好的歧视.
- 随着对组织级住院率的调整,歧视情况有所改善.
- 该得分在诊断类别中表现一致,并且在白人和非白人之间没有显著的表现差异.
结论:
- 一个使用简单纵向测量的跨诊断早期预警系统可以可靠地预测精神病医院住院.
- 这一分数可以有效地针对最有风险的个体进行预防性干预.
- 开发的得分提供了一个强大的,客观的工具,以支持精神病治疗中的临床决策.
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