Improving Employment and Reducing Recidivism Among Prison Offenders Via Virtual Interview Training Tool (MICHR)
试验速览
- 阶段
- 不适用
- 状态
- 已完成
- 入组人数
- 44
- 试验地点
- 2
- 主要终点
- Number of Participants on With at Least 1 Yes Answer to Recidivism Self-Report Questionnaire
研究概览
简要总结
The goal is to conduct a feasibility effectiveness RCT of Virtual Interview Training (VIT) by comparing employment and recidivism outcomes of offenders (25 years and older) receiving vocational services as usual (SAU) plus VIT (SAU+VIT) with the outcomes of offenders receiving only services as usual (SAU-only).
The plan calls for participants to include offenders who are at moderate to high risk for reoffending (with an emphasis on violent-crime reoffending) who are currently enrolled in a Vocational Village Prison Setting with the Michigan Department of Corrections.
详细描述
More than 600,000 ex-offenders re-enter the community from prison each year and 50% of them recidivate within 12 months of release. Employment significantly reduces the risk of recidivism for ex-offenders, and as such, is a critical target for intervention. However, evidence-based employment services are rarely delivered in prisons. Moreover, employment services that are available do not include evidence-based job interview training. Virtual Reality Job Interview Training (VR-JIT) is an evidence-based tool that was developed and evaluated with funding from the National Institute of Mental Health. However, VR-JIT has a feature to practice discussing a prior conviction during a job interview that has not yet been evaluated. Given that an ex-offender's job interview outcome may depend on discussing their prior conviction, we are partnering with the Michigan Department of Corrections (MDOC) to evaluate if delivering VR-JIT within their Vocational Village program can improve employment and reduce recidivism among offenders after their release from prison. Thus, there are two goals for this pilot study. We will evaluate the preliminary effectiveness of whether VR-JIT added to Vocational Village services-as-usual improves outcomes (interview skills, employment, recidivism) for offenders after their release from prison (at a 6-month follow-up visit). These preliminary data will support a proposal to a federal agency for a fully-powered randomized controlled trial to evaluate the effectiveness of VR-JIT with prison settings.
研究设计
- 研究类型
- Interventional
- 分配方式
- Randomized
- 干预模型
- Parallel
- 主要目的
- Treatment
- 盲法
- Single (Outcomes Assessor)
入排标准
- 年龄范围
- 25 Years 至 —（Adult, Older Adult）
- 性别
- Male
- 接受健康志愿者
- 否
入选标准
- •25 years or older
- •Identified as at moderate to high risk for reoffending with violent crimes (determined at the time of enrollment in the Vocational Village via the COMPAS Risk Assessment Classification Instrument [60])
- •Within three months of their earliest release date
- •Actively enrolled in a Vocational Village
- •Have at least a 6th grade reading comprehension
排除标准
- •Has uncorrected hearing or visual problem that prevents him or her from using the training
- •Has a medical illness that compromises their cognition (for example, moderate to severe traumatic brain injury).
结局指标
主要结局
Number of Participants on With at Least 1 Yes Answer to Recidivism Self-Report Questionnaire
时间窗: 6 Month and 12 months after Villager Release Date
Recidivism status will be collected via follow up self-report survey with a questions asking if they have been re-arrested (yes/no). The recidivism self-report data will be validated by administrative data collected from MDOC.
Employment as Measured in Outcome Questionnaire
时间窗: 6 Month & 12 month follow up after villagers are released.
Employment rate will be measured by participant self-report using a questionnaire.
Job Interview Skills From Mock Interview Rating Scale (MIRS)
时间窗: Pretest (Baseline) and Posttest (approximately 6 weeks after Baseline)
Interviewing skills were measured using a role-play measure in which subjects act out two job interview scenarios with trained actors. Interviews were video recorded and scored. An average of the two scenarios at baseline was used to create a single pretest score and an average of the two scenarios at posttest was used to create a single posttest score. The method of assessment is the job interview skills rating scale as measured by the Mock Interview Rating Scale (MIRS). Possible scores range from 8 to 40, with higher scores indicating better interview skills.
次要结局
未报告次要终点
研究者
Matthew Smith
Associate Professor
University of Michigan