Erickson Steven K, Lamberti J Steven, Weisman Robert, Crilly John, Nihalani Nikhil, Stefanovics Elina, Desai Rani
University of Pennsylvania Law School, 3400 Chestnut St., Philadelphia, PA 19104, USA.
Psychiatr Serv. 2009 Jun;60(6):834-7. doi: 10.1176/ps.2009.60.6.834.
An emerging adaptation of the assertive community treatment model is forensic assertive community treatment (FACT), which aims to prevent criminal recidivism. This study examined predictors of arrest among patients in a prototype program and considered the implications of study findings for future development of the FACT model.
Demographic and clinical data from all 130 patients treated in Project Link from 1997 through 2003 were merged with a statewide criminal record database to identify variables associated with arrest.
Poisson regression revealed a history of arrests for violent offenses before treatment and evictions from residential treatment, and antisocial traits were associated with arrest during treatment. Substance abuse was not associated with arrest, but the sample lacked heterogeneity for this factor.
Variables associated with arrest were similar to those seen in the general population. In the absence of a standardized model of intervention, FACT programs should incorporate interventions that target modifiable risk factors in order to prevent criminal recidivism among high-risk patients.
积极社区治疗模式的一种新的适应形式是法医积极社区治疗（FACT），其旨在预防再次犯罪。本研究调查了一个原型项目中患者被捕的预测因素，并考虑了研究结果对FACT模式未来发展的影响。
将1997年至2003年在“联系项目”中接受治疗的所有130名患者的人口统计学和临床数据与全州范围的犯罪记录数据库合并，以确定与被捕相关的变量。
泊松回归显示，治疗前有暴力犯罪被捕史、被住院治疗机构驱逐，以及反社会特质与治疗期间被捕相关。药物滥用与被捕无关，但该样本在这个因素上缺乏异质性。
与被捕相关的变量与普通人群中所见的变量相似。在缺乏标准化干预模式的情况下，FACT项目应纳入针对可改变风险因素的干预措施，以预防高危患者再次犯罪。
