Improving Employment and Reducing Recidivism Among Prison Offenders Via Virtual Interview Training Tool (MICHR)

January 23, 2024 updated by: Matthew Smith, University of Michigan

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.

Study Overview

Detailed Description

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.

Study Type

Interventional

Enrollment (Actual)

44

Phase

  • Not Applicable

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

    • Michigan
      • Ann Arbor, Michigan, United States, 48109
        • University of Michigan

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

25 years and older (Adult, Older Adult)

Accepts Healthy Volunteers

No

Description

Inclusion Criteria:

  • 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

Exclusion Criteria:

  • 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).

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Primary Purpose: Treatment
  • Allocation: Randomized
  • Interventional Model: Parallel Assignment
  • Masking: Single

Arms and Interventions

Participant Group / Arm
Intervention / Treatment
Experimental: Services as usual + Virtual Reality Job Interview Training
In addition to the services as usual, participants will participate in Virtual Reality Job Interview Training.
Study participants will be receiving Vocational Village services as usual that may include but is not limited to vocational skill training, daily living skill training, and social skill training.
Participants will engage in training related to preforming well during a job interview as well as repeated job interview practice with a virtual hiring manager. Participants will receive feedback and tips on improving skills throughout training.
Active Comparator: Services as Usual
Study participants will be receiving their Vocational Village services as usual that may include but not limited to vocational skill training, and social skill training.
Study participants will be receiving Vocational Village services as usual that may include but is not limited to vocational skill training, daily living skill training, and social skill training.

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Employment as Measured in Outcome Questionnaire
Time Frame: 6 Month & 12 month follow up after villagers are released.
Employment rate will be measured by participant self-report using a questionnaire.
6 Month & 12 month follow up after villagers are released.
Job Interview Skills From Mock Interview Rating Scale (MIRS)
Time Frame: 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.
Pretest (Baseline) and Posttest (approximately 6 weeks after Baseline)
Number of Participants on With at Least 1 Yes Answer to Recidivism Self-Report Questionnaire
Time Frame: 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.
6 Month and 12 months after Villager Release Date

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Investigators

  • Principal Investigator: Matthew J Smith, PhD, University of Michigan

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

September 6, 2019

Primary Completion (Actual)

July 20, 2021

Study Completion (Actual)

July 20, 2021

Study Registration Dates

First Submitted

October 23, 2019

First Submitted That Met QC Criteria

October 24, 2019

First Posted (Actual)

October 28, 2019

Study Record Updates

Last Update Posted (Actual)

January 25, 2024

Last Update Submitted That Met QC Criteria

January 23, 2024

Last Verified

January 1, 2024

More Information

Terms related to this study

Other Study ID Numbers

  • HUM00165245
  • 3UL1TR002240-05S1 (U.S. NIH Grant/Contract)

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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