Impacting Entry into Evidence-Based Supported Employment: A Population-Based Empirical Analysis of a Statewide Public Mental Health Program in Maryland

We use discrete-time survival regression to study two empirical issues relating to take-up of individual placement and support (IPS) supported employment (SE) services for persons with serious mental illness: (1) the influence of client characteristics on take-up probability, and (2) the possible im...

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Published inAdministration and policy in mental health and mental health services research Vol. 45; no. 2; pp. 328 - 341
Main Authors Salkever, David, Abrams, Michael, Baier, Kevin, Gibbons, Brent
Format Journal Article
LanguageEnglish
Published New York Springer US 01.03.2018
Springer Nature B.V
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Summary:We use discrete-time survival regression to study two empirical issues relating to take-up of individual placement and support (IPS) supported employment (SE) services for persons with serious mental illness: (1) the influence of client characteristics on take-up probability, and (2) the possible impacts of a major recent initiative in one state (Maryland) to overcome barriers to IPS-SE expansion. Our longitudinal analysis of population-based Medicaid cohorts, during 2002–2010, provides tentative evidence of positive state initiative impacts on SE take-up rates, and evidence of effects on take-up for clients’ diagnoses, prior work-history, health and demographic characteristics, and geographic accessibility to SE providers.
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ISSN:0894-587X
1573-3289
DOI:10.1007/s10488-017-0827-9