The use of the Dutch Self-Sufficiency Matrix (SSM-D) to inform allocation decisions to public mental health care for homeless people.

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  • Additional Information
    • Source:
      Publisher: Kluwer Academic/Plenum Publishers Country of Publication: United States NLM ID: 0005735 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1573-2789 (Electronic) Linking ISSN: 00103853 NLM ISO Abbreviation: Community Ment Health J Subsets: MEDLINE
    • Publication Information:
      Publication: 1999- : New York, NY : Kluwer Academic/Plenum Publishers
      Original Publication: Lexington, Mass.
    • Subject Terms:
      Decision Support Techniques* ; Ill-Housed Persons*/psychology ; Mental Health Services*/organization & administration; Adult ; Female ; Humans ; Logistic Models ; Male ; Mental Disorders/therapy ; Models, Statistical ; Netherlands ; ROC Curve ; Reproducibility of Results ; Resource Allocation/methods ; Self Efficacy
    • Abstract:
      The current study set out to develop a decision support tool based on the Self-Sufficiency Matrix (Dutch version; SSM-D) for the clinical decision to allocate homeless people to the public mental health care system at the central access point of public mental health care in Amsterdam, The Netherlands. Logistic regression and receiver operating characteristic-curve analyses were used to model professional decisions and establish four decision categories based on SSM-D scores from half of the research population (Total n = 612). The model and decision categories were found to be accurate and reliable in predicting professional decisions in the second half of the population. Results indicate that the decision support tool based on the SSM-D is useful and feasible. The method to develop the SSM-D as a decision support tool could be applied to decision-making processes in other systems and services where the SSM-D has been implemented, to further increase the utility of the instrument.
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    • Publication Date:
      Date Created: 20140212 Date Completed: 20150622 Latest Revision: 20221207
    • Publication Date:
      20231215
    • Accession Number:
      10.1007/s10597-014-9707-x
    • Accession Number:
      24515344