Evidence map›Paper›PMID 32671283›Full record

ArticleContemporary clinical trials communications2020

Enhancing vocational training in corrections: A type 1 hybrid randomized controlled trial protocol for evaluating virtual reality job interview training among returning citizens preparing for community re-entry.

Matthew J Smith, Jamie A Mitchell, Shannon Blajeski, Brittani Parham, Meghan M Harrington, Brittany Ross, Brandy Sinco, Daphne M Brydon, Jennifer E Johnson, Gary S Cuddeback and 7 more

Abstract read
In one paragraph

Article in Contemporary clinical trials communications, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

17 authors.

Matthew J SmithUniversity of Michigan School of Social Work, Ann Arbor, MI, USA.
Jamie A MitchellUniversity of Michigan School of Social Work, Ann Arbor, MI, USA.
Shannon BlajeskiUniversity of Michigan School of Social Work, Ann Arbor, MI, USA.
Brittani ParhamUniversity of Michigan School of Social Work, Ann Arbor, MI, USA.
Meghan M HarringtonUniversity of Michigan School of Social Work, Ann Arbor, MI, USA.
Brittany RossUniversity of Michigan School of Social Work, Ann Arbor, MI, USA.
Brandy SincoUniversity of Michigan School of Social Work, Ann Arbor, MI, USA.
Daphne M BrydonUniversity of Michigan School of Social Work, Ann Arbor, MI, USA.
Jennifer E JohnsonMichigan State University Division of Public Health, East Lansing, MI, USA.
Gary S CuddebackUniversity of North Carolina at Chapel Hill School of Social Work, Chapel Hill, NC, USA.
Justin D SmithNorthwestern University Feinberg School of Medicine Department of Psychiatry and Behavioral Sciences, Chicago, IL, USA.
Neil JordanNorthwestern University Feinberg School of Medicine Department of Psychiatry and Behavioral Sciences, Chicago, IL, USA.
Morris D BellYale School of Medicine, Department of Psychiatry, West Haven, CT, USA.
Robert McGeorgeMichigan Department of Corrections, Lansing, MI, USA.
Kyle KaminskiMichigan Department of Corrections, Lansing, MI, USA.
Aaron SuganumaWashtenaw County Sheriff's Office, Ann Arbor, MI, USA.
Sheryl P KubiakWayne State University School of Social Work, Detroit, MI, USA.

Funding

RRD VA IK6 RX002458
6 · The paper itself

Abstract

The Michigan Department of Corrections operates the Vocational Villages, which are skilled trades training programs set within prisons that include an immersive educational community using virtual reality, robotics, and other technologies to develop employable trades. An enhancement to the Vocational Villages could be an evidence-based job interview training component. Recently, we conducted a series of randomized controlled trials funded by the National Institute of Mental Health to evaluate the efficacy of virtual reality job interview training (VR-JIT). The results suggested that the use of VR-JIT was associated with improved job interview skills and a greater likelihood of receiving job offers within 6 months. The primary goal of this study is to report on the protocol we developed to evaluate the effectiveness of VR-JIT at improving interview skills, increasing job offers, and reducing recidivism when delivered within two Vocational Villages via a randomized controlled trial and process evaluation. Our aims are to: (1) evaluate whether services-as-usual in combination with VR-JIT, compared to services-as-usual alone, enhances employment outcomes and reduces recidivism among returning citizens enrolled in the Vocational Villages; (2) evaluate mechanisms of employment outcomes and explore mechanisms of recidivism; and (3) conduct a multilevel, mixed-method process evaluation of VR-JIT implementation to assess the adoptability, acceptability, scalability, feasibility, and implementation costs of VR-JIT.

Indexed as

EmploymentJob interviewRecidivismReturning citizensVirtual reality

Identifiers

PMID32671283
PMCPMC7339026

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.