在心理社会康复中心向同行支持工作者推的预测因素
Romain Monnier1,2, Julien Plasse2, Frédéric Haesebaert1,2
1Université Claude Bernard Lyon 1 - Domaine de Rockefeller, Lyon, Rhône, France.
Frontiers in psychiatry
|October 29, 2025
概括
神经发育障碍,社会隔离和治疗不良坚持预测在心理健康服务中的同行支持转诊. 机器学习模型显示了适度的预测准确性,突出了未来研究的领域.
科学领域:
- 心理健康服务研究 心理健康服务研究
- 心理社会康复 心理社会康复
- 同行支持干预措施 同行支持干预
背景情况:
- 同行支持工作者提供宝贵的帮助,基于他们与心理健康状况,成或神经发育障碍的经验.
- 确定预测患者转介到同行支持的因素对于优化其融入心理健康服务至关重要.
研究的目的:
- 确定心理康复服务内的患者转诊到同行支持干预的预测因素.
- 为了比较基于专家的模型与基于机器的模型的预测准确度.
主要方法:
- 利用了法国REHABase队列的数据,比较了转诊 (n=134) 和非转诊 (n=242) 患者.
- 评估基于专家的模型 (临床医生选择的变量) 与基于机器的模型 (算法选择的变量) 相比.
主要成果:
- 基于机器的模型最初显示出比基于专家的模型 (AUC = 0.71) 更高的预测准确度 (AUC = 0.78).
- 交叉验证显示,这两种模型的预测性能大幅下降,AUC值为0.60和0.59.
- 神经发育障碍诊断,社会隔离和低治疗坚持是转诊的重要预测因素.
结论:
- 虽然某些因素预测推,但整体模型性能表明当前预测能力的局限性.
- 不测量的变量,如患者的动机和临床医生的看法,可能会影响转诊决策和模型准确性.
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