在临床项目级别的HKT-R的预测有效性被分为临床患者类别
Iris Frowijn1,2, Erik Masthoff3,4, Stefan Bogaerts3,4
1Department of Developmental Psychology, Tilburg University, Tilburg, the Netherlands. I.Frowijn@tilburguniversity.edu.
BMC psychiatry
|July 12, 2023
概括
潜在类分析确定了四个不同的法医患者群体. 这提高了历史临床未来 - 修订 (HKT-R) 工具用于评估重犯风险的预测有效性.
科学领域:
- 法医精神病学 法医精神病学
- 临床心理学 临床心理学
- 风险评估 风险评估
背景情况:
- 法医患者群体是异质的,影响风险评估工具的有效性.
- 隐性类分析 (LCA) 可以创建同质的患者类.
- 历史临床未来 - 修订 (HKT-R) 是一个关键的法医风险评估工具.
研究的目的:
- 使用LCA调查HKT-R临床项目的预测有效性.
- 通过识别患者子组,改进法医风险评估.
- 检查不同患者类别的HKT-R性能.
主要方法:
- 在332名法医患者的潜在类分析 (LCA).
- 根据精神病理和犯罪行为对患者进行分组.
- 评估HKT-R的预测有效性,使用重定罪数据 (释放后2年和5年).
主要成果:
- 通过LCA确定了四个不同的患者类别.
- 在这些类别之间和其中,HKT-R临床项目预测有效性差异很大.
- 在预测2岁和5岁的暴力重犯方面观察到差异.
结论:
- 法医病人的异质性需要量身定制的风险评估.
- 在不同患者亚组中,HKT-R风险/保护因素可能会有所不同.
- 考虑患者类别对于有效的干预至关重要.
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