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对跟踪风险因素的预测有效性和随时间变化的考察。

An Examination of Predictive Validity and Change in Risk Factors for Stalking over Time.

机构信息

Dr. Penney is an Independent Scientist in the Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada, and an Assistant Professor in the Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada. Dr. Ulrich is a Staff Psychiatrist at the University of Alberta Hospital, Edmonton, Alberta, Canada. Ms. Maheandiran is a Research Coordinator in the Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada.

出版信息

J Am Acad Psychiatry Law. 2023 Sep;51(3):377-389. doi: 10.29158/JAAPL.220110-22. Epub 2023 Jul 17.

Abstract

This study investigates the predictive validity of two risk instruments for stalking, the Guidelines for Stalking Assessment and Management (SAM) and the Stalking Risk Profile (SRP), in a sample of 86 forensic psychiatric patients. We compare these tools against a well-validated violence risk assessment measure (Historical, Clinical, Risk Management-20, Version 3 (HCR-20V3)) for violent and stalking-related outcomes. Dynamic (mutable) components of each tool were rated at three annual intervals and revealed significant change across time. The HCR-20V3, SAM, and SRP measures showed comparable ability to classify those who recidivated with further stalking from those who did not (area under the curves = .72-.73, <001). Time-varying scores from the dynamic subscales of the HCR-20V3 and SAM contributed significantly to the prediction of stalking, whereas nonstalking violence was primarily forecast by the static (Historical) scale of the HCR-20V3. This suggests comparable validity of general violence and stalking risk tools for assessing the risk of stalking in forensic patients. Stalking-specific risk factors on the SAM and SRP will likely be of added clinical value in terms of tailoring risk management and treatment plans. Findings also emphasize the importance of attending to changes in risk status over time and incorporating time-sensitive methodologies into predictive models.

摘要

本研究调查了两种 stalking 风险评估工具—— stalking 评估和管理指南(SAM)和 stalking 风险评估量表(SRP)——在 86 名法医精神病患者样本中的预测效度。我们将这些工具与经过充分验证的暴力风险评估工具(Historical, Clinical, Risk Management-20, Version 3 (HCR-20V3))进行比较,以评估暴力和 stalking 相关结果。每个工具的动态(可变)组件在三年的时间间隔内进行评估,并显示出随时间的显著变化。HCR-20V3、SAM 和 SRP 量表在将有进一步 stalking 行为的累犯者与没有累犯者进行分类方面具有相当的能力(曲线下面积=0.72-0.73,<0.001)。HCR-20V3 和 SAM 的动态子量表的时变评分对 stalking 的预测有显著贡献,而非 stalking 暴力主要由 HCR-20V3 的静态(历史)量表预测。这表明一般暴力和 stalking 风险工具在评估法医患者 stalking 风险方面具有相当的有效性。SAM 和 SRP 上的 stalking 特异性风险因素在定制风险管理和治疗计划方面可能具有额外的临床价值。研究结果还强调了关注风险状况随时间的变化并将时间敏感的方法纳入预测模型的重要性。

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