Impacting entry into evidence-based supported employment: A population-based empirical analysis of a statewide public mental health program in Maryland
Administration and Policy in Mental Health and Mental Health Services Research, 2018•Springer
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 …
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 …
Abstract
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.
Springer
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