机器学习级辅导辅导技能与心理治疗结果的关联
Xinyao Zhang1, Simon B Goldberg2, Scott A Baldwin3
1Department of Educational Psychology, University of Utah.
Journal of consulting and clinical psychology
|February 6, 2025
概括
支持性咨询技能,如开放式问题和反思,与更好的客户结果相关. 虽然同情并没有直接与减轻症状联系,但它影响了最初的症状水平,表明了复杂的技能结果关系.
科学领域:
- 心理学 心理学 心理学
- 心理治疗研究 心理治疗研究
- 医疗保健中的机器学习
背景情况:
- 支持性咨询技能对于有效的心理治疗至关重要.
- 客观地评估这些技能是一项挑战.
- 机器学习为技能评估提供了新的途径.
研究的目的:
- 研究特定的辅导辅导技能 (同理心,开放式问题,反思) 与治疗结果之间的关联.
- 为了测试这样的假设,即更高的技能利用率会导致更大的症状减少.
- 探索基于机器学习的系统在心理治疗中的技能评估的实用性.
主要方法:
- 利用来自大学咨询中心的2,974次治疗会的数据集.
- 采用机器学习系统 (双向长短记忆) 来评价治疗师的支持技能.
- 应用多层次建模来分析治疗师之间和治疗师内部的技能结果关联.
主要成果:
- 开放式问题和反思与治疗师之间的客户症状减少有关.
- 治疗师的同情心和患者的症状减少之间没有发现显著的关联.
- 治疗师的同情心与治疗师内客户的基线症状水平有负面关联.
结论:
- 治疗师的探索和表达理解是改善客户结果的关键.
- 基于机器学习的措施显示出心理治疗研究的前景.
- 需要进一步的研究来理解同情心的细微作用,并解决系统的局限性.
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