Predictors of Labor Force Status in a Random Sample of Consumers with Serious Mental Illness.

Employment among persons with severe mental illness has been challenging. Supported employment programs have had some success; however, much remains to be understood about client motivations for employment. A labor force participation study was mailed to persons receiving services in a Midwestern st...

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Publicado en:Journal of Behavioral Health Services & Research Vol. 45; no. 4; pp. 678 - 690
Autores principales: Carstens, Carol, Massatti, Richard
Formato: research Journal Article
Publicado: Springer Nature Oct2018
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Oct2018
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      pub: Springer Nature
      place: New York, New York
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        atl: Predictors of Labor Force Status in a Random Sample of Consumers with Serious Mental Illness.
      aug:
        au:
          Carstens, Carol
          Massatti, Richard
        affil: Ohio Department of Mental Health and Addiction Services, 30 East Broad Street, 43215, Columbus, OH, USA
      sug:
        subj:
          Employment
          Employment Psychosocial Factors
          Mental Disorders Psychosocial Factors
          Work Psychosocial Factors
          Medicaid
          Female
          Male
          Human
          Midwestern United States
          Logistic Regression
          United States
          Adult
          Motivation
          Young Adult
          Support, Psychosocial
          Employment, Supported
          Validation Studies
          Comparative Studies
          Evaluation Research
          Multicenter Studies
          Adult: 19-44 years
          Female
          Male
      ab: Employment among persons with severe mental illness has been challenging. Supported employment programs have had some success; however, much remains to be understood about client motivations for employment. A labor force participation study was mailed to persons receiving services in a Midwestern state's publicly funded behavioral health system, and a random sample of participants resulted in 964 valid surveys. Analysis showed significant differences between Medicaid coverage program and labor force status, with some programs likely to have higher percentages of employed persons. A multinomial logistic regression model explored the odds of employment and unemployment to not being in the labor force. Perception of incentives to employment greatly increased the odds, while age and perception of barriers to employment decreased the odds for both groups when compared to those not in the labor force. Findings have implications for the design of employment programs and coverage benefits.
      pubtype: Academic Journal
      doctype:
        research
        Journal Article
      ougenre: Article
    language: English
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