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A systematic review of prevention and intervention strategies for populations at high risk of engaging in violent behaviour: Update 2002-8

机译:系统回顾的预防和干预高危人群的策略从事暴力行为:更新2002 - 8

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Background: It has been estimated that violence accounts for more than 1.6 million deaths worldwide each year and these fatal assaults represent only a fraction of all assaults that actually occur. The problem has widespread consequences for the individual and for the wider society in physical, psychological, social and economic terms. A wide range of pharmacological, psychosocial and organisational interventions have been developed with the aim of addressing the problem. This review was designed to examine the effectiveness of these interventions when they are developed in mental health and criminal justice populations. Objective: To update a previous review that examined the evidence base up to 2002 for a wide range of pharmacological, psychosocial and organisational interventions aimed at reducing violence, and to identify the key variables associated with a significant reduction in violence. Data sources: Nineteen bibliographic databases were searched from January 2002 to April 2008, including PsycINFO (CSA) MEDLINE (Ovid), Cumulative Index to Nursing and Allied Health Literature (CINAHL), Allied and Complementary Medicine Database (AMED), British Nursing Index/Royal College of Nursing, International Bibliography of the Social Sciences (IBSS), Education Resources Information Center (ERIC)/International ERIC, The Cochrane Library (Cochrane reviews, other reviews, clinical trials, methods studies, technology assessments, economic evaluations), Web of Science [Science Citation Index Expanded (SCIE), Social Sciences Citation Index (SSCI), Arts & Humanities Citation Index (A&HCI)]. Review methods: The assessment was carried out according to accepted procedures for conducting and reporting systematic reviews, including identification of studies, application of inclusion criteria, data extraction and appropriate analysis. Studies were included in meta-analyses (MAs) if they followed a randomised control trial (RCT) design and reported data that could be converted into odds ratios (ORs). For each MA, both a fixed-effects model and a random-effects model were fitted, and both Q statistic and I2 estimates of heterogeneity were performed. Results: A total of 198 studies were identified as meeting the inclusion criteria; of these, 51 (26%) were RCTs. Bivariate analyses exploring possible sources of variance in whether a study reported a statistically significant result or not, identified six variables with a significant association. An outcome was less likely to be positive if the primary intervention was something other than a psychological or pharmacological intervention, the study was conducted in an penal institution, the comparator was another active treatment or treatment as usual and if a between-groups design had been used. An outcome was more likely to be positive if it was conducted with people with a mental disorder. The variation attributable to these variables when added to a binary logistic regression was not large (Cox and Snell R 2 = 0.12), but not insignificant given the small number of variables included. The pooled results of all included RCTs suggested a statistically significant advantage for interventions over the various comparators [OR 0.59, 95% confidence interval (CI) 0.53 to 0.65, fixed effects; OR 0.35, 95% CI 0.26 to 0.49 random effects, 40 studies]. However, there was high heterogeneity {I 2 = 86, Q = 279 [degrees of freedom (df) = 39], p < 0.0001}, indicating the need for caution in interpreting the observed effect. Analysis by subgroups showed that most results followed a similar pattern, with statistically significant advantages of treatments over comparators being suggested in fixed- and/or random-effects models but in the context of large heterogeneity. Three exceptions were atypical antipsychotic drugs [OR 0.21, 95% CI 0.16 to 0.27, fixed effects; OR 0.24, 95% CI 0.14 to 0.43, random effects; 10 studies, I 2 = 72.2, Q = 32.4 (df = 9), p < 0.0001], psychological interventions [OR 0.63, 9
机译:背景:据估计,暴力占了超过160万人死亡全世界每年这些致命的攻击代表所有攻击,只有一小部分实际发生。为个人和更广泛的后果社会在身体、心理、社会和经济条件。社会心理和组织干预已经开发出来,目的是解决吗这个问题。这些干预措施的有效性他们正在开发的心理健康和犯罪正义的人口。先前的审查,审查的证据基础2002广泛的药理,社会心理和组织干预旨在减少暴力和识别关键变量与显著相关减少暴力。书目数据库搜索2002年1月至2008年4月,包括PsycINFO(CSA) MEDLINE(奥维德),累积索引来护理和联合健康文学(CINAHL),盟军和补充医学数据库(艾湄湾),英国人护理指数/皇家护理学院,国际社会科学的参考书目(ibs),教育资源信息中心埃里克(ERIC) /国际,Cochrane图书馆(Cochrane评论,其他评论,临床试验方法研究、技术评估、经济评价),科学(科学的网络社会科学引文索引扩展(合作伙伴)引文索引(1)、艺术与人文科学引文指数(A&HCI)]。根据接受程序进行进行系统评审和报告包括识别研究中,应用程序入选标准、数据提取和适当的分析。荟萃分析(MAs)如果他们遵循一个随机控制试验(RCT)的设计和报告的数据可以转化成优势比(ORs)。每个马,固定后果模型和随机模型拟合,Q统计我 2 > < /晚餐的估计异质性被执行。198年被确定为会议研究入选标准;双变量分析探索可能的来源差异是否公布的一项研究统计上显著的结果,确定了六个变量显著协会。如果主要干预措施是积极的比心理或其他的东西药理干预研究在刑罚制度,进行比较另一个积极治疗或治疗通常,如果组间设计使用。如果是与人进行精神障碍。当添加到一个二进制逻辑变量斯奈尔回归并不大(考克斯和R 2 =0.12),但不是无关紧要的小数量的变量包括在内。包括统计相关的建议干预措施的显著优势各种比较器(或0.59,95%的信心区间(CI) 0.53至0.65,固定效果;0.35, 95%可信区间0.26到0.49随机效应,40岁研究]。{我2 = 86,Q = 279(自由度(df) =39], p < 0.0001),表明需要谨慎在解释观察到的效果。子组显示,大多数结果之前类似的模式,具有统计学意义优势的治疗比较器建议在固定和/或随机影响模型但在大的异质性。非典型抗精神病药物(或异常0.21, 95%可信区间0.16到0.27,固定效果;0.24, 95%可信区间0.14到0.43,随机效应;研究,我2 = 72.2 Q = 32.4 (df = 9), p <0.0001),心理干预(或0.63 9

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