Predictors of General and Violent Recidivism among Mentally Disordered Inmates

Villeneuve, David B.; Quinsey, Vernon L.

doi:10.1177/0093854895022004004

Cited by 40 publications

(17 citation statements)

References 11 publications

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“…Axis I diagnoses) were more than five times as likely to report engaging in violent behaviors (in the previous year) as those without serious mental illness (see Monahan, 1996). In contrast, an attempt to predict general and violent recidivism among parolees from a maximum-security inpatient psychiatric unit showed that psychotic parolees were less likely than nonpsychotic (but also mentally ill) parolees to be rearrested for any offense, and equally likely to be rearrested for a violent offense (Villenueve & Quinsey, 1995). Similarly, Hodgins and Cote (1993) found that the criminal careers of mentally disordered and non-mentally disordered offenders differed little.…”

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confidence: 98%

Antipsychotic medication adherence, cocaine use, and recidivism among a parolee sample

Farabee

Shen

2004

Behavioral Sci & The Law

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This study examined the independent and interactive associations between cocaine use and antipsychotic medication adherence in predicting 12 month criminal recidivism among a sample of mentally ill parolees (N = 200). Consistent with prior research, cocaine use (based on hair assays) was associated with more than a threefold increase (relative to non-cocaine users) in the likelihood of a parolee being returned to custody during the follow-up period. Although medication adherence (based on urine specimens) was not independently associated with a significant reduction in recidivism risk, the interaction between cocaine use and medication adherence was significant, revealing a disproportionate impact of medication adherence specific to cocaine users. Prediction models of recidivism based on self-reported measures of medication adherence and cocaine use revealed only marginally significant trends for cocaine use, no effect for adherence, and no significant interaction between these two predictors.

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confidence: 98%

Antipsychotic medication adherence, cocaine use, and recidivism among a parolee sample

Farabee

Shen

2004

Behavioral Sci & The Law

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“…Substance abuse has also been found to demonstrate a strong effect on violent behavior (Pihl and Peterson, 1993;Swanson, 1994). More broadly, the probability of violent recidivism rises with what may be termed Unstable Lifestyle, including, for example, inconsistent work histories (Motiuk and Brown, 1996;Villeneuve and Quinsey, 1995) and difficulties maintaining relationships (Wright and Wright, 1992). In a similar vein, offenders who have failed on conditional release or have a History of Parole/Probation Noncompliance (Dempster and Hart, 2002;Schwaner, 2000;Harris et al, 1993) also present a greater risk of violent recidivism.…”

Section: Research Methodology Instrumentationmentioning

confidence: 99%

Violence Risk Screening in Community Corrections*

Davies

Dedel²

2006

Criminology & Public Policy

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Research Summary:Issues of safety and screening for potential violence are particularly salient in community correctional settings. These contexts require a risk assessment mechanism that can both classify offenders according to their risk of violent recidivism and be administered quickly and effectively by nonclinicians. Existing assessment instruments such as the LSI-R, PCL-R-2, VRAG, and HCR-20 are of limited utility in relation to predicting violence in community corrections. This research describes the creation and validation of the Violence Risk Screening Instrument that better meets the requirements of community corrections. Violent recidivism among men was best predicted by a three-item instrument consisting of Severe Violence, Domestic Violence, and Unstable Lifestyle. Policy Implications:Balancing the treatment and supervision needs of offenders with the task of ensuring public safety within a context of limited resources makes risk assessment and triage essential. Resource constraints mean that not all offenders can receive high levels of supervision; similarly, best practice research on responsivity suggests that only those offenders at higher risk will benefit from high levels of supervision (Andrews and Bonta, 1994). In the past two decades, the use of risk assessment instruments has brought greater objectivity to the process of classifying offenders into risk groups. However, a single risk assessment instrument cannot classify offenders according to all forms of risk. As supervision strategies become more precise and more focused on specific forms of risk, so too must the instruments that are used to derive the classification. The Violence Risk Screening Instrument proposed here is valuable insofar as it meets the requisite criteria for community corrections: It has demonstrable predictive utility, and it can be administered

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“…Total scores are subgrouped into nine levels of probability of violent recidivism within 7 and 10-year periods. The VRAG has been shown to be reliable and valid with mentally disordered offenders (Harris et al, 1993;Quinsey et al, 1998;Villeneuve & Quinsey, 1995) and nonmentally disordered offenders (Barbaree, Seto, Langton, & Peacock, 2001;Glover, Nicholson, Hemmati, Bernfeld, & Quinsey, 2002;Kroner & Loza, 2001;Loza & Dhaliwal, 1997;Loza & Loza-Fanous, 2001;Rice & Harris, 1992). …”

Section: Methodsmentioning

confidence: 99%