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本文引用的文献

1
Literature Review of Deep-Learning-Based Detection of Violence in Video.基于深度学习的视频暴力检测文献综述。
Sensors (Basel). 2024 Jun 20;24(12):4016. doi: 10.3390/s24124016.
2
Calibrating violence risk assessments for uncertainty.针对不确定性校准暴力风险评估。
Gen Psychiatr. 2023 Apr 28;36(2):e100921. doi: 10.1136/gpsych-2022-100921. eCollection 2023.
3
Aggression on the psychiatric ward: Prevalence and risk factors. A systematic review of the literature.精神科病房的攻击行为:患病率和危险因素。文献系统综述。
PLoS One. 2021 Oct 8;16(10):e0258346. doi: 10.1371/journal.pone.0258346. eCollection 2021.
4
Characteristics of aggressive incidents in emergency primary health care described by the Staff Observation Aggression Scale - Revised Emergency (SOAS-RE).《员工观察攻击量表修订版-急诊(SOAS-RE)》描述的急诊初级卫生保健中攻击事件的特征。
BMC Health Serv Res. 2020 Jan 13;20(1):33. doi: 10.1186/s12913-019-4856-9.
5
Add-on benzodiazepines for psychosis-induced aggression.附加苯二氮䓬类药物治疗精神病性激越。
Int Clin Psychopharmacol. 2019 May;34(3):119-123. doi: 10.1097/YIC.0000000000000254.
6
Use of risk assessment instruments to predict violence in forensic psychiatric hospitals: a systematic review and meta-analysis.使用风险评估工具预测法医精神病院的暴力行为:系统评价和荟萃分析。
Eur Psychiatry. 2018 Aug;52:47-53. doi: 10.1016/j.eurpsy.2018.02.007. Epub 2018 Apr 4.
7
When and how should multiple imputation be used for handling missing data in randomised clinical trials - a practical guide with flowcharts.何时以及如何在随机临床试验中使用多重插补来处理缺失数据——附流程图的实用指南。
BMC Med Res Methodol. 2017 Dec 6;17(1):162. doi: 10.1186/s12874-017-0442-1.
8
The limitations and future of violence risk assessment.暴力风险评估的局限性与未来
World Psychiatry. 2017 Feb;16(1):25-26. doi: 10.1002/wps.20394.
9
Development of a measure to predict short-term violence in psychiatric populations: The Imminent Risk Rating Scale.一种预测精神科人群短期暴力行为的测量工具的开发:即时风险评定量表。
Psychol Serv. 2015 Feb;12(1):1-8. doi: 10.1037/a0037281. Epub 2014 Jul 28.
10
Risk factors for violence in psychosis: systematic review and meta-regression analysis of 110 studies.精神病患者暴力行为的风险因素:110 项研究的系统回顾和荟萃回归分析。
PLoS One. 2013;8(2):e55942. doi: 10.1371/journal.pone.0055942. Epub 2013 Feb 13.

精神科急诊录像中男性行为参数与精神科病房后续暴力的关联。

Association between behavioral parameters of men in psychiatric emergency department video recording and subsequent violence in the psychiatric ward.

机构信息

Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.

Lev Hasharon Mental Health Center, Tsur Moshe, Israel.

出版信息

BMC Psychiatry. 2024 Nov 14;24(1):801. doi: 10.1186/s12888-024-06248-3.

DOI:10.1186/s12888-024-06248-3
PMID:39543500
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11566971/
Abstract

Violence risk is a major challenge among acute psychiatric inpatients. The study aimed to predict violent behavior risk in an acute psychiatric ward using video recordings from the emergency department. 69 videos of the emergency department recording the first ten minutes following patients' arrivals were included. Psychiatrists watched the videos, completed relevant Brief Psychiatric Rating Scale items and answered intuitive questions about each patient's risk of violence. Demographic and clinical data were also collected. Motoric mannerisms as rated in the BPRS significantly differed between violent and non-violent patients (p < 0.05). Additionally, we found a significant correlation between intuitive prediction of violence and actual violence (p = 0.008). Violent behavior was predicted in 42.1% of the cases by the intuitive evaluation compared to 11.5% mistakenly evaluated patients. Logistic regression revealed that the intuitive question and the BPRS items regarding tension and motoric mannerism created a successful model for predicting violence with 88.2% sensitivity and 72.5% specificity. We sought to define the factors that most accurately predict violence in the acute psychiatric ward, based solely on behavior in the emergency department. Intuitive impressions of clinicians and motoric mannerisms should be considered when evaluating patients for potential violent behavior.

摘要

暴力风险是急性精神病住院患者面临的主要挑战。本研究旨在通过对急诊科的视频记录来预测急性精神病病房的暴力行为风险。共有 69 个急诊科的视频被纳入研究,这些视频记录了患者到达后的前十分钟。精神科医生观看了这些视频,完成了相关的简明精神病评定量表项目,并回答了关于每位患者暴力风险的直觉问题。同时还收集了人口统计学和临床数据。BPRS 评定的运动方式在暴力和非暴力患者之间存在显著差异(p<0.05)。此外,我们发现直觉预测暴力与实际暴力之间存在显著相关性(p=0.008)。与错误评估的 11.5%患者相比,直觉评估预测到了 42.1%的暴力行为。逻辑回归显示,直觉问题和关于紧张和运动方式的 BPRS 项目创建了一个成功的预测模型,具有 88.2%的敏感性和 72.5%的特异性。我们试图根据急诊科的行为来确定最能准确预测急性精神病病房暴力行为的因素。在评估潜在暴力行为的患者时,临床医生的直觉印象和运动方式都应予以考虑。