Several programs have attempted to improve labor market outcomes for youth and working-age adults with disabilities. To be successful, these programs must address the various barriers to employment typically encountered by this population. This topic area focuses on research determining which programs have been most effective at improving direct labor market outcomes such as employment and earnings; improving education and health status, which may affect a person’s ability to work; and decreasing federal disability benefit receipt.
Disability Employment Policy
Status: Literature reviewed in this topic area currently covers 1985 - 2022.
Synthesis Reports
Synthesis reports look at the research evidence across studies within a topic area. They also highlight gaps in the literature, and suggest areas in which further research is needed.
Recently Added
CLEAR searches the existing literature for research relevant to this topic area's focus. Browse the most recently reviewed research below.
Displaying 11 - 20 of 148
Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Post-Secondary Education and Rehabilitation Transition (PERT) program on employment and earnings outcomes. The study used a…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Virtual Interactive Training Agents (ViTA) program on training outcomes for students with disabilities. The study used an interrupted time…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of Virtual Interview Training for Transition Age Youth (VIT-TAY) on employment outcomes for transition-age youth with disabilities. The study used…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of NAVIGATE on employment, earnings, and public benefits receipt. The study was a randomized controlled trial that assigned community mental…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of Virtual Interview Training for Transition-Age Youth (VIT-TAY) on employment outcomes. The study was a randomized controlled trial. Assessment…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of the Rehabilitation Hospital of Indiana Resource Facilitation (RHI RF) program on employment outcomes. The authors used a nonexperimental design…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of Vocational Rehabilitation (VR) services on employment outcomes. The study used a nonexperimental design to determine whether the number of VR…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of supported employment on employment outcomes for youth with intellectual and developmental disabilities. The study used a nonexperimental design…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of Project SEARCH plus Autism Spectrum Disorder (ASD) Supports on employment outcomes. The study was a randomized controlled trial. Using…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of work incentives benefits counseling (WIBC) on employment and earnings for individuals with intellectual disabilities. The study used a…
CLEAR Icon Key
Below is a key for icons used to indicate important details about a study, such as its type, evidence rating, and outcome findings.
High Causal Evidence
Strong evidence the effects are caused by the examined intervention.
Moderate Causal Evidence
Evidence that the effects are caused to some degree by the examined intervention.
Low Causal Evidence
Little evidence that the effects are caused by the examined intervention.
Causal Impact Analysis
Uses quantitative methods to assess the effectiveness of a program, policy, or intervention.
Descriptive Analysis
Describes a program, policy, or intervention using qualitative or quantitative methods.
Implementation Analysis
Examines the implementation of a program, policy, or intervention.
Favorable
The study found at least one favorable impact in the outcome domain, and no unfavorable impacts.
Mixed
The study found some favorable and some unfavorable impacts in the outcome domain.
None
The study found no statistically significant impacts in the outcome domain.
Unfavorable
The study found at least one unfavorable impact in the outcome domain, and no favorable impacts.
Not applicable
Not applicable because no outcomes were examined in the outcome domain.
Favorable - low evidence
The study found at least one favorable impact in the outcome domain, and no unfavorable impacts. The study received a low causal evidence ratings so these findings should be interpreted with caution.
Mixed - low evidence
The study found some favorable and some unfavorable impacts in the outcome domain. The study received a low causal evidence ratings so these findings should be interpreted with caution.
None - low evidence
The study found no statistically significant impacts in the outcome domain. The study received a low causal evidence ratings so these findings should be interpreted with caution.
Unfavorable - low evidence
The study found at least one unfavorable impact in the outcome domain, and no favorable impacts. The study received a low causal evidence ratings so these findings should be interpreted with caution.