Computerized Stage-Matched Intervention for Juvenile Offenders

少年犯计算机化阶段匹配干预

基本信息

  • 批准号:
    7609585
  • 负责人:
  • 金额:
    $ 17.28万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    2009
  • 资助国家:
    美国
  • 起止时间:
    2009-01-15 至 2010-12-31
  • 项目状态:
    已结题

项目摘要

DESCRIPTION (provided by applicant): Juvenile crime imposes enormous costs on victims, on society, and on juvenile offenders themselves. However, research assessing the efficacy of interventions for young offenders show, on average, only small effects on recidivism, substance abuse, and other behavioral outcomes. A major problem with existing interventions is that they tend to neglect individual differences in motivation and readiness to make positive changes. We propose to use an empirically validated model of behavior change, the Transtheoretical Model (TTM), and expert system technology to develop a computerized intervention designed as an adjunct to traditional juvenile justice programs. The intervention will deliver assessments and individualized feedback matched to readiness to stay out of trouble with the law and reduce substance use. It will also generate counselor reports that summarize the youth's feedback and present concrete, easy-to-implement strategies counselors can use to reinforce stage-matched concepts. The goals of this Phase I project are to develop and validate TTM measures for reducing marijuana and alcohol use among juvenile offenders (to supplement measures already developed for staying out of trouble with the law); to develop the baseline portion of a computer-administered, interactive, multimedia expert system program; and to test the feasibility of this approach to intervention. Juvenile offenders will participate in focus groups to generate ideas for the TTM measures (n=32) and to provide feedback on the intervention materials (n=32); cognitive interviews to ensure TTM instructions and questions are interpreted as intended (n=8); usability tests to ensure that the expert system intervention is easily navigable and provides a coherent intervention experience (n=8); and an anonymous survey for measure development and validation (n=200). Finally, 60 court- and system-involved youth will participate in a feasibility trial and receive the intervention; their counselors will receive the counselor reports. The feasibility of this approach will be established if: 1) we are able to deliver the intervention as planned to at least 90 percent of trial participants in a range of juvenile justice programs and settings; 2) participants provide positive ratings of the acceptability and usefulness of the interactive session; 3) counselors provide positive ratings of the helpfulness of the counselor reports; and 4) the intervention yields statistically significant pre-post changes on proximal measures of change-namely, youths' assessments of the benefits of staying out of trouble with the law, and the benefits of reducing substance use. PUBLIC HEALTH RELEVANCE: Juvenile crime imposes enormous costs on victims, on society, and on juvenile offenders themselves. We propose to use an empirically validated model of behavior change, the Transtheoretical Model (TTM), and expert system technology to develop a computerized intervention designed as an adjunct to traditional juvenile justice programs. The intervention, which delivers assessments, individualized feedback, and counselor reports matched to youths' readiness to stay out of trouble with the law and reduce substance use, has the potential to increase programs' responsivity to youths' needs; make more efficient use of scarce program resources; and improve outcomes.
描述(由申请人提供):青少年犯罪给受害者、社会和青少年罪犯本身带来了巨大的代价。然而,评估干预措施对青少年罪犯的有效性的研究表明,平均而言,对累犯,药物滥用和其他行为结果的影响很小。现有干预措施的一个主要问题是,它们往往忽视个体在动机和做出积极改变的意愿方面的差异。我们建议使用经验验证的行为改变模型,跨理论模型(TTM),和专家系统技术开发一个计算机化的干预设计作为传统的少年司法程序的辅助。干预将提供评估和个性化的反馈,以准备远离法律的麻烦并减少药物使用。它还将生成辅导员报告,总结青年的反馈,并提出具体的,易于实施的战略辅导员可以用来加强阶段匹配的概念。这个第一阶段项目的目标是制定和验证TTM措施,以减少青少年罪犯中大麻和酒精的使用(以补充已经制定的远离法律麻烦的措施);开发计算机管理的基线部分,交互式,多媒体专家系统程序;并测试这种干预方法的可行性。少年犯将参加焦点小组,为TTM措施提出想法(n=32),并就干预材料提供反馈(n=32);认知访谈,以确保TTM指示和问题按预期解释(n=8);可用性测试,以确保专家系统干预易于导航并提供连贯的干预体验(n=8);以及用于测量开发和验证的匿名调查(n=200)。最后,60名涉及法院和系统的青年将参加可行性试验并接受干预;他们的顾问将收到顾问报告。这种方法的可行性将建立,如果:1)我们能够提供干预计划,以至少90%的试验参与者在一系列的少年司法程序和设置; 2)参与者提供积极的评级的可接受性和有用的互动会议; 3)辅导员提供积极的评级辅导员报告的有用性;(4)干预措施在最近的变化指标上产生了统计学上显著的前后变化,即年轻人对远离法律麻烦的好处和减少物质使用的好处的评估。青少年犯罪给受害者、社会和青少年罪犯本身带来了巨大的代价。我们建议使用经验验证的行为改变模型,跨理论模型(TTM),和专家系统技术开发一个计算机化的干预设计作为传统的少年司法程序的辅助。干预措施提供评估,个性化的反馈和顾问报告,以配合青少年的准备远离法律的麻烦和减少物质使用,有可能增加计划对青少年需求的响应;更有效地利用稀缺的计划资源;并改善结果。

项目成果

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DEBORAH A LEVESQUE其他文献

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{{ truncateString('DEBORAH A LEVESQUE', 18)}}的其他基金

Computerized Stage-Matched Intervention for Juvenile Offenders
少年犯计算机化阶段匹配干预
  • 批准号:
    8314329
  • 财政年份:
    2009
  • 资助金额:
    $ 17.28万
  • 项目类别:
Computerized Stage-Matched Intervention for Juvenile Offenders
少年犯计算机化阶段匹配干预
  • 批准号:
    8604701
  • 财政年份:
    2009
  • 资助金额:
    $ 17.28万
  • 项目类别:
Computerized Stage-Matched Intervention for Juvenile Offenders
少年犯计算机化阶段匹配干预
  • 批准号:
    8420471
  • 财政年份:
    2009
  • 资助金额:
    $ 17.28万
  • 项目类别:
Responsible Drinking: Internet-based, Interactive Computer Tailored Intervention
负责任的饮酒:基于互联网的交互式计算机定制干预
  • 批准号:
    8722998
  • 财政年份:
    2009
  • 资助金额:
    $ 17.28万
  • 项目类别:
A Stage-Based Expert System for Teen Dating Violence Prevention
基于阶段的青少年约会暴力预防专家系统
  • 批准号:
    6993308
  • 财政年份:
    2005
  • 资助金额:
    $ 17.28万
  • 项目类别:
A Stage-Based Expert System for Teen Dating Violence Prevention
基于阶段的青少年约会暴力预防专家系统
  • 批准号:
    8076417
  • 财政年份:
    2005
  • 资助金额:
    $ 17.28万
  • 项目类别:
A Stage-Based Expert System for Teen Dating Violence Prevention
基于阶段的青少年约会暴力预防专家系统
  • 批准号:
    7537521
  • 财政年份:
    2005
  • 资助金额:
    $ 17.28万
  • 项目类别:
A Stage-Based Expert System for Teen Dating Violence Prevention
基于阶段的青少年约会暴力预防专家系统
  • 批准号:
    7687495
  • 财政年份:
    2005
  • 资助金额:
    $ 17.28万
  • 项目类别:
An Expert System to Reduce Depression in Primary Care
减少初级保健中抑郁症的专家系统
  • 批准号:
    6708226
  • 财政年份:
    2001
  • 资助金额:
    $ 17.28万
  • 项目类别:
An Expert System to Reduce Depression in Primary Care
减少初级保健中抑郁症的专家系统
  • 批准号:
    6655484
  • 财政年份:
    2001
  • 资助金额:
    $ 17.28万
  • 项目类别:

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