关于严重精神障碍住院患者暴力行为的预测模型的应用研究
Ting Wang1, Lin Wang1, Ping Zhao1
1Department of Outpatient, Yangzhou Wutaishan Hospital of Jiangsu Province, Teaching Hospital of Yangzhou University, Yangzhou 225003, Jiangsu Province, China.
World journal of psychiatry
|February 5, 2026
概括
开发了一种预测模型,用于识别患有严重精神障碍 (SMD) 的住院患者的暴力行为. 关键因素包括教育,吸烟,住院时间,年龄,精神病症状和C反应性蛋白水平.
科学领域:
- 精神病学和行为科学
- 临床心理学 临床心理学
- 医疗信息学 医疗信息学
背景情况:
- 暴力行为是严重精神障碍 (SMD) 的住院患者的一个重大问题.
- 了解影响侵略性的因素对于有效的患者护理和安全至关重要.
- 开发工具来预测和预防这种行为是精神病学环境中的优先事项.
研究的目的:
- 调查SMD住院患者暴力行为的决定因素.
- 建立一个预测模型和名谱,用于识别有侵略风险的患者.
- 为医务人员提供查工具,以指导早期干预策略.
主要方法:
- 研究了440名SMD住院患者的队列.
- 后勤回归分析确定了暴力行为的独立风险和保护因素.
- 一个预测模型使用接收机操作特征 (ROC) 曲线和校准图表来开发和验证.
主要成果:
- 暴力行为的发生率为27.30% (120名患者).
- 独立的危险因素包括低学历,吸烟,住院时间较长,年龄较大,精神病症状和C反应蛋白水平升高.
- 教育和年龄被确定为保护因素.
结论:
- 开发的预测模型为早期识别中小企业的攻击风险提供了理论基础.
- 该模型有助于病房工作人员及时对有风险的患者进行干预.
- 这种工具可以提高精神病治疗中的患者安全性和治疗结果.
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