Demographic covariates and vocational rehabilitation services as predictors of employment outcomes of people with physical disabilities: a hierarchical logistic regression analysis.

Abstract

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. 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. 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. 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.