最好的两个世界? 心理病理学在个性化评估中的一般原则
Merlijn Olthof1, Fred Hasselman2, Benjamin Aas3
1University of Groningen, Faculty of Behavioural and Social Sciences.
Journal of psychopathology and clinical science
|October 16, 2023
概括
这项研究在心理治疗期间确定了不同的患者变化概况,揭示了症状变化的特定模式与情绪和焦虑障碍的更好的治疗结果相关.
科学领域:
- 精神病学和心理学 精神病学和心理学
- 复杂系统科学 复杂系统科学
- 在心理健康领域的数据科学.
背景情况:
- 精神病理学研究往往侧重于特定的症状,但复杂的系统方法表明一般的动态模式是心理障碍的基础.
- 在时间序列数据中个性化自我评级为识别这些一般变化概况提供了一种新的途径.
研究的目的:
- 研究心理治疗患者个性化自我评价中的一般变化概况.
- 与已确定的治疗结果指标相关联识别的变化概况.
主要方法:
- 分析了404名患有情绪/焦虑障碍的患者的每日自我评价,使用主要组件分析来得出个人特定的时间序列.
- 应用分类和回归方法来识别这些时间序列中的一般变化概况.
- 与国际症状评级,抑郁焦虑和压力尺度,每日症状严重程度和自我反射能力相比,比较了变化特征组.
主要成果:
- 将患者分为五种变化概况:没有轮班 (14%),逐渐变化 (13%),单轮班 (58%),反转轮班 (10%) 和多轮班 (6%).
- 与没有轮班组相比,多轮班组在所有措施中表现出更好的结果.
- 一个轮班和逐步变化的组在多个措施上表现得明显好于没有轮班的组.
结论:
- 心理病理学的个人特异性 (idiographic) 和一般性 (nomothetic) 方面可以在复杂的系统框架内集成.
- 识别不同的变化概况为治疗动态和心理治疗结果提供了有价值的见解.
- 这种方法可以提高对心理健康治疗的理解和个性化.
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