Access, retention, and effectiveness of Individual Placement and Support in the U.S.: Are there racial or ethnic differences?

Abstract

BACKGROUND: Increased federal attention to advancing racial equity and support for underserved communities suggests the need for data on racial and ethnic differences in evidence-based employment services for people with serious mental illness. Individual Placement and Support (IPS) is an evidence-based model of supported employment for this population. OBJECTIVE: The objective was to identify differences based on race and ethnicity in IPS services. METHODS: This narrative review examined the empirical literature on IPS services in the U.S., assessing evidence of differences in access, retention, and effectiveness for Black and Hispanic IPS clients, relative to non-Hispanic Whites. RESULTS: We identified 12 studies examining racial and ethnic differences in access (4 studies), retention (3 studies), and effectiveness (6 studies). The findings for access to IPS were mixed, with two studies showing no differences, one finding less access for Blacks, and another finding greater access for Blacks but less access for Hispanics. Three studies found better retention rates for clients enrolled in IPS regardless of race or ethnicity. Compared to clients receiving usual vocational services, all studies found better employment outcomes for IPS clients regardless of race or ethnicity. CONCLUSION: Unlike for most of health care, few racial and ethnic differences have been found for IPS employment services in the U.S. Access to IPS is inadequate for all groups, with conflicting evidence whether Blacks and Hispanics have even less access. Based on the available evidence, Black and Hispanic clients have comparable retention and employment outcomes in IPS as non-Hispanic White clients. State and local mental health leaders responsible for monitoring IPS outcomes should routinely report statistics on race and ethnicity. They should also give active attention to client needs and equity. Research designs should answer multifaceted questions regarding disparities for historically underserved populations.