Suppr超能文献

[不来梅普通精神病学风险评估量表。预测普通精神病科出院的精神病患者的暴力行为]

[Bremen Risk Assessment Scale for General Psychiatry. Predicting violent behavior in mentally ill patients discharged from general psychiatry].

作者信息

von Berg S, Haselbeck H, Handschuh D, Timm J

机构信息

Zentrum für Psychiatrie, Psychotherapie und Psychosomatik, Klinikum Bremen-Ost, Züricher Straße 40, 28325, Bremen, Deutschland.

出版信息

Nervenarzt. 2011 Jul;82(7):886-94. doi: 10.1007/s00115-010-3067-8.

Abstract

BACKGROUND

In order to identify psychiatric patients who have a higher risk of being aggressive towards others, a risk checklist, the "Bremen Risk Assessment Scale for General Psychiatry" (BRAS-GP) was developed. The results of the first trial are described in this article.

METHODS

In this prospective study all in-patients who were treated in the last quarter of 2006 were included. The BRAS-GP was applied on discharge to patients who were treated involuntarily. In a 1-year follow-up all patients who had been readmitted were analyzed to assess if any aggressive incident had occurred to confirm or refute the prognoses.

RESULTS

On evaluation of the readmissions data, we calculated sensitivity of 0.72 and specificity of 0.71 as well as an "area under the curve" of 0.74. Especially during the first months after discharge readmissions linked with aggressive behavior were observed.

CONCLUSION

The BRAS-GP is a useful prognostic instrument with high predictive validity. It can be easily applied in general psychiatric wards to help identify risk patients. After detecting risk patients special treatment strategies can then be offered.

摘要

背景

为了识别对他人具有更高攻击风险的精神科患者,开发了一种风险清单,即“不来梅普通精神病学风险评估量表”(BRAS-GP)。本文描述了首次试验的结果。

方法

在这项前瞻性研究中,纳入了2006年最后一个季度接受治疗的所有住院患者。BRAS-GP应用于非自愿治疗出院的患者。在1年的随访中,对所有再次入院的患者进行分析,以评估是否发生了任何攻击事件,以证实或反驳预后。

结果

通过对再次入院数据的评估,我们计算出敏感性为0.72,特异性为0.71,以及“曲线下面积”为0.74。特别是在出院后的头几个月,观察到与攻击行为相关的再次入院情况。

结论

BRAS-GP是一种具有高预测效度的有用预后工具。它可以很容易地应用于普通精神科病房,以帮助识别有风险的患者。在检测到有风险的患者后,可以提供特殊的治疗策略。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验