• Contemp Clin Trials · Feb 2019

    Randomized Controlled Trial

    Enhancing individual placement and support (IPS) - Supported employment: A Type 1 hybrid design randomized controlled trial to evaluate virtual reality job interview training among adults with severe mental illness.

    • Matthew J Smith, Justin D Smith, Michael F Fleming, Neil Jordan, Eugene A Oulvey, Morris D Bell, Kim T Mueser, Susan R McGurk, E-Shawn Spencer, Kimberly Mailey, and Lisa A Razzano.
    • School of Social Work, University of Michigan, USA. Electronic address: mattjsmi@umich.edu.
    • Contemp Clin Trials. 2019 Feb 1; 77: 86-97.

    AbstractIndividual Placement and Support (IPS) is the evidence-based model of supported employment that increases employment rates in adults with severe mental illness (SMI). Although IPS is largely successful, over 80% of adults with SMI remain unemployed. An enhancement to high fidelity IPS could be an evidence-based job interview training component. To meet this training need, our group recently completed a series of randomized controlled efficacy trials funded by the National Institute of Mental Health to develop and test virtual reality job interview training (VR-JIT) in a lab setting. The results demonstrated that the intervention was efficacious at helping trainees improve their job interview skills and receive job offers within six months of completing VR-JIT compared to non-trainees. The overarching goal of this study is to evaluate the effectiveness of VR-JIT as an enhancement to IPS when delivered in a large community-based mental health service provider via a randomized controlled trial and initial process evaluation. Our aims are to: evaluate whether IPS services-as-usual in combination with VR-JIT, compared to IPS services-as-usual alone, enhances IPS outcomes for adults with SMI; evaluate mechanisms of employment outcomes and psychological distress; and conduct a multilevel, multidisciplinary, and mixed-method process evaluation of VR-JIT adoption and implementation to assess the acceptability, scalability, generalizability, and affordability of VR-JIT.Copyright © 2018 Elsevier Inc. All rights reserved.

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