Abstract
Numerous state systems and local mental health and vocational rehabilitation programs are currently attempting to implement supported employment. This cross-sectional survey of 26 mental health agencies, partnering with federal-state vocational rehabilitation, identified differences in access to supported employment services and rates of competitive employment (efficiency) as well as predictors of access and efficiency. Access varied from 2 to 100% and was related to the percentage of supported employment specialists per consumers with serious mental illness served by the mental health agency (funding). Efficiency varied from 7 to 75% and was related to implementation of the critical components of evidence-based supported employment and to the local unemployment rate. To help mental health clients achieve their employment goals, state systems and local programs should address consolidation of resources in supported employment and the quality of implementation of supported employment.
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This study was supported by a gift from the Johnson & Johnson Corporate Contributions Program.
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Deborah R. Becker, Haiyi Xie, and Gregory J. McHugo are affiliated with the Dartmouth Medical School, Hanover, NH, USA. John Halliday is affiliated with the Institute for Community Inclusion, University of Massachusetts, Boston, MA, USA. Rick A, Martinez is affiliated with Johnson & Johnson, New Brunswick, NJ, USA.
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Becker, D.R., Xie, H., McHugo, G.J. et al. What Predicts Supported Employment Program Outcomes?. Community Ment Health J 42, 303–313 (2006). https://doi.org/10.1007/s10597-006-9037-8
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DOI: https://doi.org/10.1007/s10597-006-9037-8