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Demographic covariates and vocational rehabilitation services as predictors of employment outcomes of people with physical disabilities: a hierarchical logistic regression analysis.
Iwanaga, Kanako; Chan, Fong; Tansey, Timothy N; Wu, Jia Rung; Wehman, Paul; Medina, Maria; Kaya, Cahit.
Afiliación
  • Iwanaga K; Department of Rehabilitation Counseling, College of Health Professions, Virginia Commonwealth University, Richmond, VA, USA.
  • Chan F; Department of Rehabilitation Psychology and Special Education, University of Wisconsin-Madison, Madison, WI, USA.
  • Tansey TN; Department of Rehabilitation Psychology and Special Education, University of Wisconsin-Madison, Madison, WI, USA.
  • Wu JR; Department of Counselor Education, Northeastern Illinois University, Chicago, IL, USA.
  • Wehman P; Department of Rehabilitation Research and Training Center, Virginia Commonwealth University, Richmond, VA, USA.
  • Medina M; Department of Rehabilitation Research and Training Center, Virginia Commonwealth University, Richmond, VA, USA.
  • Kaya C; Department of Rehabilitation Services and Counseling, University of TX-Rio Grande Valley, Brownsville, TX, USA.
Disabil Rehabil ; : 1-7, 2024 Feb 14.
Article en En | MEDLINE | ID: mdl-38356264
ABSTRACT

PURPOSE:

Stable employment is essential for the health, psychosocial, and financial well-being of people with physical disabilities (PwPD). Unfortunately, the low employment rate for PwPD in the U.S. exposes them to adverse effects of unemployment, including depression, anxiety, low self-esteem, and physical pain. Helping PwPD find gainful employment will improve their general health and well-being. However, few empirical studies examine factors affecting the employment outcomes of PwPD. This study aims to examine the relationship between demographic covariates, vocational rehabilitation (VR) services, and employment outcomes of PwPD. MATERIALS AND

METHODS:

This secondary data analysis study includes 17,598 PwPD from the U.S. Department of Education's Rehabilitation Services Administration's Case Service Report (RSA-911) dataset. Our analysical approach was hierarchical logistic regression analysis.

RESULTS:

For VR services, workplace support, technology support, job placement assistance, and VR counseling significantly contribute to predicting employment outcomes for PwPD. Even after entering VR services, the demographic variables (age, race, education, referral sources, low-income, long-term unemployment, and disability significancy) were still significant predictors of employment.

CONCLUSIONS:

Findings from this study can be used by state VR counselors and other disability service providers to plan and select effective employment-related interventions to improve the employment outcomes of PwPD.
The alarmingly low employment rate among PwPD significantly impacts their psychological, financial, social, and overall health well-being in the U.S.Vocational rehabilitation services, including workplace support, technology assistance, VR counseling, and job placement support, are pivotal in facilitating employment for PwPD.PwPD who received workplace support exhibited nearly six times higher odds of attaining employment compared to those without such assistance.PwPD who received technology support experienced four times higher odds of achieving employment in contrast to those without technology assistance.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Aspecto: Determinantes_sociais_saude Idioma: En Revista: Disabil Rehabil Asunto de la revista: REABILITACAO Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Reino Unido

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Aspecto: Determinantes_sociais_saude Idioma: En Revista: Disabil Rehabil Asunto de la revista: REABILITACAO Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Reino Unido