Employment rates in flexible assertive community treatment teams in The Netherlands

An observational study

H.E. Kortrijk*, N.L. Mulder, A.M. Kamperman, J. van Weeghel

*Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

Abstract

We determined the proportions of clients treated in Flexible Assertive Community Treatment teams who were unemployed and gained employment and who were employed and lost employment. Secondly, we explored the demographical and clinical factors associated with employment. Data were collected during routine outcome monitoring. We calculated differences in employment rates over a year and explored differences in demographic characteristics at baseline between patient groups. Logistic regression analysis was used to estimate the role of clinical predictor variables on employment status. Over time, 10% remained employed, 5% lost their employment, 3% gained employment and 82% remained unemployed. Clients who found employment were younger, more often male, and had significantly fewer psychosocial problems and a higher subjective quality of life during follow-up than those who remained unemployed. Problems with motivation for treatment at baseline were related to losing employment or remaining unemployed. Better implementation of vocational services is very important for increasing the number of clients gaining employment.
Original languageEnglish
Pages (from-to)350-359
JournalCommunity Mental Health Journal
Volume55
Issue number2
DOIs
Publication statusPublished - 2019

Fingerprint

Community Mental Health Services
Netherlands
community
quality of life
regression analysis
Logistic Models
logistics

Keywords

  • CAMBERWELL ASSESSMENT
  • DUTCH VERSION
  • Employment
  • FACT
  • Flexible Assertive Community Treatment
  • INDIVIDUAL PLACEMENT
  • NEED
  • PEOPLE
  • PREDICTORS
  • SEVERE MENTAL-ILLNESS
  • SUPPORTED EMPLOYMENT
  • Severe mental illness
  • Vocational services
  • WORK

Cite this

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title = "Employment rates in flexible assertive community treatment teams in The Netherlands: An observational study",
abstract = "We determined the proportions of clients treated in Flexible Assertive Community Treatment teams who were unemployed and gained employment and who were employed and lost employment. Secondly, we explored the demographical and clinical factors associated with employment. Data were collected during routine outcome monitoring. We calculated differences in employment rates over a year and explored differences in demographic characteristics at baseline between patient groups. Logistic regression analysis was used to estimate the role of clinical predictor variables on employment status. Over time, 10{\%} remained employed, 5{\%} lost their employment, 3{\%} gained employment and 82{\%} remained unemployed. Clients who found employment were younger, more often male, and had significantly fewer psychosocial problems and a higher subjective quality of life during follow-up than those who remained unemployed. Problems with motivation for treatment at baseline were related to losing employment or remaining unemployed. Better implementation of vocational services is very important for increasing the number of clients gaining employment.",
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author = "H.E. Kortrijk and N.L. Mulder and A.M. Kamperman and {van Weeghel}, J.",
year = "2019",
doi = "10.1007/s10597-018-0233-0",
language = "English",
volume = "55",
pages = "350--359",
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Employment rates in flexible assertive community treatment teams in The Netherlands : An observational study. / Kortrijk, H.E.; Mulder, N.L.; Kamperman, A.M.; van Weeghel, J.

In: Community Mental Health Journal, Vol. 55, No. 2, 2019, p. 350-359.

Research output: Contribution to journalArticleScientificpeer-review

TY - JOUR

T1 - Employment rates in flexible assertive community treatment teams in The Netherlands

T2 - An observational study

AU - Kortrijk, H.E.

AU - Mulder, N.L.

AU - Kamperman, A.M.

AU - van Weeghel, J.

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AB - We determined the proportions of clients treated in Flexible Assertive Community Treatment teams who were unemployed and gained employment and who were employed and lost employment. Secondly, we explored the demographical and clinical factors associated with employment. Data were collected during routine outcome monitoring. We calculated differences in employment rates over a year and explored differences in demographic characteristics at baseline between patient groups. Logistic regression analysis was used to estimate the role of clinical predictor variables on employment status. Over time, 10% remained employed, 5% lost their employment, 3% gained employment and 82% remained unemployed. Clients who found employment were younger, more often male, and had significantly fewer psychosocial problems and a higher subjective quality of life during follow-up than those who remained unemployed. Problems with motivation for treatment at baseline were related to losing employment or remaining unemployed. Better implementation of vocational services is very important for increasing the number of clients gaining employment.

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KW - NEED

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KW - PREDICTORS

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KW - Severe mental illness

KW - Vocational services

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