Clients' current presentation yields best prediction of criminal recidivism: Jointly modeling repeated assessments of risk and recidivism outcomes in a community sample of paroled New Zealanders.

Objective: Clinicians often rely on readily observable intermediate outcomes (e.g., symptoms) to assess the likelihood of events that occur outside of treatment (e.

Dynamic risk factors reassessed regularly after release from incarceration predict imminent violent recidivism.

Objective: In community-based corrections, reassessment of dynamic risk factors improves the prediction of recidivism relative to initial risk assessment at the time of release. However, there is less evidence for predictions of violent recidivism. We examined whether reassessment proximity or aggregation of reassessments improved the prediction of imminent violence in a sample of paroled individuals on community supervision.

The Role of Ego Networks in Studies of Substance Use Disorder Recovery.

Those who study treatment and recovery from alcohol use disorder (AUD) and substance use disorder (SUD) generally agree that an individual's social context impacts his or her success (or failure) in recovery. Recently, as the use of social network analysis has increased, studies on SUD recovery and treatment have adopted ego networks as a research tool. This review aims to tie together a thread of research for an efficient and effective summary.

Factors affecting the stability of social networks during early recovery in ex-offenders.

Background: Few studies have considered the retention of the individuals (alters) comprising the social networks of people in recovery.

Objective: The purpose of this study was to describe factors predicting whether alters were retained 6 months after participants completed treatment.

Method: The Important Person Inventory was given to 270 ex-offenders (224 men, 46 women) transitioning from treatment to Oxford House residences, Safe Haven therapeutic communities, or to usual aftercare.