HighStudy design
Design:
Study group formation:
Time period of study:
Primary outcome domains examined:
Increase short-term earnings, Increase long-term earnings, Increase short-term employment, Increase long-term employmentOther outcome domains examined:
Physical health status; mental health statusStudy funded by:
Results
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| Outcome domain | Measure | Timing | Study quality by finding | Comparison group mean | Program group mean | Impact | Units | Findings | Sample size |
|---|---|---|---|---|---|---|---|---|---|
| Increase short-term earnings | Annual earnings, NDNH data | Year 1 |
High
|
6,427.00 | 8,807.00 | 2,380.00 | 2018 dollars |
|
1,061 |
| Increase short-term earnings | Total earnings over follow-up period, survey data | Month 15 |
High
|
10,973.00 | 11,335.80 | 362.87 | 2018 dollars |
|
648 |
| Increase long-term earnings | Annual earnings, NDNH data | Year 2 |
High
|
8,692.00 | 10,276.00 | 1,584.00 | 2019 dollars |
|
1,061 |
| Increase short-term employment | Currently employed, survey data | Month 15 |
High
|
57.00 | 60.90 | 3.90 | percentage points |
|
648 |
| Increase short-term employment | Ever employed, annual, NDNH data | Year 1 |
High
|
61.00 | 68.00 | 7.00 | percentage points |
|
1,061 |
| Increase short-term employment | Number of months employed, follow-up period, survey data | Month 15 |
High
|
6.20 | 6.70 | 0.50 | months |
|
648 |
| Increase long-term employment | Ever employed, annual, NDNH data | Year 2 |
High
|
60.00 | 61.00 | 1.00 | percentage points |
|
1,061 |
| Increase long-term employment | Number of quarters employed, follow-up period, NDNH data | Quarter 8 |
High
|
3.70 | 3.90 | 0.20 | quarters |
|
1,061 |
Short-term outcomes are those measured 18 months or fewer after participants are first offered services. Long-term outcomes are those measured between 18 months and 5 years after participants are first offered services. Very long-term outcomes are those measured 5 years or more after participants are first offered services.
Means are not displayed when not reported or not aligned with the impact estimates. For example, if the impact estimate is regression-adjusted but only unadjusted means are reported in the study, the unadjusted means are not displayed as they are not aligned with the adjusted impact estimate.
Impact estimates are not shown when the estimate units cannot be converted to natural units.
High
Moderate
The findings quality describe our confidence that a given study’s finding is because of the program. We do not display findings that rate low.
A moderate-to-large favorable finding that is unlikely to be due to chance
A moderate-to-large favorable finding that might to be due to chance
A small favorable finding that is unlikely to be due to chance
A small favorable finding that might be due to chance
A favorable finding that is unlikely to be due to chance, but we cannot determine the standardized effect size
A favorable finding that might be due to chance, but we cannot determine the standardized effect size
A moderate-to-large unfavorable finding that is unlikely to be due to chance
A moderate-to-large unfavorable finding that might to be due to chance
A small unfavorable finding that is unlikely to be due to chance
A small unfavorable finding that might be due to chance
An unfavorable finding that is unlikely to be due to chance, but we cannot determine the standardized effect size
An unfavorable finding that might be due to chance, but we cannot determine the standardized effect size
A finding that is unlikely to be due to chance, but we cannot determine the standardized effect size or direction
A finding of no effect that might be due to chance
Sample characteristics
Study participants were individuals with disabilities and low income who were unemployed or underemployed. Most participants had a mental illness (86 percent) and had at least high school diploma or GED (81 percent). A majority of participants were female (54 percent). About one-third of participants (34 percent) had a substance use disorder.
Characteristics may sum to greater than 100 percent due to rounding.
Age
| Mean age | 40 years |
| Young adults (age 16-24) | 12% |
| Adults (age 25+) | 88% |
Sex
| Female | 54% |
| Male | 46% |
Race and ethnicity
| Black or African American |
15%
|
| White, not Hispanic |
40%
|
| Hispanic or Latino of any race |
35%
|
| Unknown, not reported, or other |
10%
|
The race and ethnicity categories may sum to more than 100 percent if the authors reported race and ethnicity separately; in these cases, we report the category White, rather than White, not Hispanic.
Family status
| Married | 18% |
Employment and public benefit status
| Were employed | 42% |
| Were unemployed | 58% |
| Cash assistance recipients | 28% |
Education
| Had some postsecondary education | 21% |
| Had a high school diploma or GED | 81% |
| Did not have a high school diploma or GED | 19% |
| English learners | 17% |
Specific employment barriers
| Had a disability | 100% |
| Had a mental illness | 63% |
| Had a substance abuse disorder | 34% |
| Were refugees | 8% |
Program implementation
Implementing organization:
Program history:
Program services:
Mandatory services:
Comparison services:
Service receipt duration:
Program funding:
Study publications
Freedman, Lily, and Megan Millenky (2022). Two-year findings from the evaluation of Breaking Barriers: An individual placement and support (IPS) program. Technical Appendix. OPRE Report 2022-35. Washington, DC: Office of Planning, Research, and Evaluation, Administration for Children and Families, U.S. Department of Health and Human Services. Available at: https://acf.gov/sites/default/files/documents/opre/evaluation-breaking-barriers-technical-appendix-mar-2022.pdf
Freedman, Lily, and Megan Millenky (2022). Two-year findings from the evaluation of Breaking Barriers: An individual placement and support (IPS) program. OPRE Report 2022-35. Washington, DC: Office of Planning, Research, and Evaluation, Administration for Children and Families, U.S. Department of Health and Human Services. Available at: https://acf.gov/sites/default/files/documents/opre/evaluation-breaking-barriers-mar-2022.pdf
Freedman, Lily, Sam Elkin, and Megan Millenky (2019). Breaking Barriers: Implementing individual placement and support in a workforce setting. New York, NY: MDRC. Available at: https://www.mdrc.org/publication/breaking-barriers
View the glossary for more information about these and other terms used on this page.
Pathways to Work refers to programs by the names used in study reports or manuscripts. Some program names may use language that is not consistent with our style guide, preferences, or the terminology we use to describe populations.
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