Citation: |
Kim, J.; Park, S.; Castruita-Rios, Y.; Weathers, M.; Park, M.; Inge, K.; Riesen, T.; Keeton, B.; Avellone, L.; & Tansey, T. (2024). Customized employment for transition-age youth in state vocational rehabilitation program PY2017 - PY2020: Analysis of service outcomes and related factors.
Journal of Vocational Rehabilitation, 60
(3),
281-297.
|
Title: |
Customized employment for transition-age youth in state vocational rehabilitation program PY2017 - PY2020: Analysis of service outcomes and related factors |
Authors: |
Kim, J.; Park, S.; Castruita-Rios, Y.; Weathers, M.; Park, M.; Inge, K.; Riesen, T.; Keeton, B.; Avellone, L.; & Tansey, T. |
Year: |
2024 |
Journal/Publication:
|
Journal of Vocational Rehabilitation |
Publisher: |
IOS Press |
DOI: |
https://doi.org/10.3233/JVR-240013
|
Full text: |
https://content.iospress.com/articles/journal-of-vocational-rehabil...
|
PDF
|
Peer-reviewed? |
Yes
|
NIDILRR-funded? |
Yes
|
Background: |
Customized employment (CE) is positively correlated with competitive integrated employment (CIE) outcomes and potentially supports transition-age youth in achieving sustainable employment. |
Purpose:
|
This study examines the employment outcomes and related factors for transition-age youth with disabilities who received CE services through state vocational rehabilitation agencies (SVRAs) and their vendors from program year 2017 to 2020. |
Data collection and analysis:
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Employing a combination of descriptive analysis, binary logistic and multiple regression, chi-square tests, and t-tests, the study investigates the demographics, potential barriers, and vocational rehabilitation (VR) services received by the research sample using the RSA-911 dataset. |
Findings:
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The sample comprised 672 individuals with a mean age of 22.30 years. The most prevalent barrier to employment among CE participants was long-term unemployment, while Supplemental Security Income (SSI) was the most common social security benefit. Furthermore, only 13.2% of transition-age youth achieved CIE status, compared to 30.1% of adults. The key predictors of employment outcomes, including CIE status, weekly earnings, and working hours were identified. |
Conclusions:
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The research reveals significant differences in employment outcomes between transition-age youth and adult VR consumers. These insights emphasize the necessity for SVRAs to consider a range of factors, including demographics, potential employment barriers, and the effects of various VR services, to increase the CE service effectiveness for transition-age youth. |