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

David Salkever, Michael Abrams, Kevin Baier, Brent Gibbons

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

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.

Original languageEnglish (US)
Pages (from-to)328-341
Number of pages14
JournalAdministration and Policy in Mental Health and Mental Health Services Research
Volume45
Issue number2
DOIs
StatePublished - Mar 1 2018
Externally publishedYes

Keywords

  • Medicaid
  • State mental health
  • Supported employment

ASJC Scopus subject areas

  • Phychiatric Mental Health
  • Health Policy
  • Public Health, Environmental and Occupational Health
  • Psychiatry and Mental health

Fingerprint

Dive into the research topics of 'Impacting Entry into Evidence-Based Supported Employment: A Population-Based Empirical Analysis of a Statewide Public Mental Health Program in Maryland'. Together they form a unique fingerprint.

Cite this