NCJ Number
238822
Date Published
2012
Length
52 pages
Annotation
This guide presents recommendations for supervising the hardcore drunk driving defendant/offender (subgroup of offenders who persistently violate drunk driving laws) throughout the justice process.
Abstract
The guide provides information to probation departments with specialized DUI units whose caseload consists of only DUI offenders, as well as departments that do not have such units, supervising DUI offenders in caseloads that include other types of offenders. Overall, HCDD offenders engage in high-risk and impulsive/thrill-seeking behaviors that require community corrections to have a continuum of services, interventions, and responses to counter these behaviors appropriately. One section of the guide outlines the components of an effective structure for supervising offenders in the community, including hardcore drunk driving (HCDD) defendants/offenders. Components include partnerships in using community resources to prevent drunk driving, the use of substance-abuse assessors and treatment providers, and the establishment of relationships between probation departments and booking officers/jail/prison staff. Another section focuses on community supervision strategies. These strategies encompass the pretrial assessment, pretrial recommendations, presentence community supervision, the use of assessment tools, the development of supervision and treatment plans, tools and technologies that assist in the supervision of DUI offenders, the treatment plan, and graduated responses for successes and violations. This is followed by a section that addresses the measurement of success in the supervision of HCDD defendants/offenders. The first step in defining success measures for the HCDD offender is to involve stakeholders in the process. At a minimum, stakeholders should include judges, prosecutors, defense attorneys, probation administrators, treatment providers, victim advocates, community members, and possibly the offenders themselves. Once success measures are identified by stakeholders, information and data on the measures must be collected and reported back to the stakeholders. The required data must be entered into information systems that are designed to be user friendly. 17 references and descriptions of model programs