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      Predictors of employment in people with moderate to severe mental illness participating in a randomized controlled trial of Individual Placement and Support (IPS)

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          Abstract

          Background:

          Many people with moderate to severe mental illness have a desire to obtain ordinary employment. To aid further development of health and social services for this group, the aim of this study was to examine candidate modifiable and prognostic markers of employment, and moderating effects of group allocation in a clinical trial.

          Method:

          The sample consists of 327 patients in treatment for mental illness, randomized to Individual Placement and Support (IPS) or treatment as usual (TAU) as part of a clinical trial. Psychosocial and demographic baseline characteristics were included as predictors in log binary regression analyses with employment 18 months after inclusion as the outcome, and group allocation as the moderator (IPS or TAU).

          Results:

          Directive emotional support and non-directive instrumental support seemed to positively predict employment, but effects were small. Involuntary hospitalization seemed to be a strong negative predictor of employment. Group allocation did not moderate any main effects.

          Conclusion:

          Interpretation of the findings suggest that attention should be given to certain aspects of health and social services provided to this target group, and in particular the effect of receiving appropriate types of social support. The findings are novel because social support and involuntary hospitalization do not seem to have been included in previous predictor studies. The results from this study identify new topics for research on employment outcomes for this population.

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          Most cited references52

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          The hospital anxiety and depression scale.

          A self-assessment scale has been developed and found to be a reliable instrument for detecting states of depression and anxiety in the setting of an hospital medical outpatient clinic. The anxiety and depressive subscales are also valid measures of severity of the emotional disorder. It is suggested that the introduction of the scales into general hospital practice would facilitate the large task of detection and management of emotional disorder in patients under investigation and treatment in medical and surgical departments.
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            The validity of the Hospital Anxiety and Depression Scale. An updated literature review.

            To review the literature of the validity of the Hospital Anxiety and Depression Scale (HADS). A review of the 747 identified papers that used HADS was performed to address the following questions: (I) How are the factor structure, discriminant validity and the internal consistency of HADS? (II) How does HADS perform as a case finder for anxiety disorders and depression? (III) How does HADS agree with other self-rating instruments used to rate anxiety and depression? Most factor analyses demonstrated a two-factor solution in good accordance with the HADS subscales for Anxiety (HADS-A) and Depression (HADS-D), respectively. The correlations between the two subscales varied from.40 to.74 (mean.56). Cronbach's alpha for HADS-A varied from.68 to.93 (mean.83) and for HADS-D from.67 to.90 (mean.82). In most studies an optimal balance between sensitivity and specificity was achieved when caseness was defined by a score of 8 or above on both HADS-A and HADS-D. The sensitivity and specificity for both HADS-A and HADS-D of approximately 0.80 were very similar to the sensitivity and specificity achieved by the General Health Questionnaire (GHQ). Correlations between HADS and other commonly used questionnaires were in the range.49 to.83. HADS was found to perform well in assessing the symptom severity and caseness of anxiety disorders and depression in both somatic, psychiatric and primary care patients and in the general population.
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              Recovery from mental illness: The guiding vision of the mental health service system in the 1990s.

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                Author and article information

                Journal
                Int J Soc Psychiatry
                Int J Soc Psychiatry
                ISP
                spisp
                The International Journal of Social Psychiatry
                SAGE Publications (Sage UK: London, England )
                0020-7640
                1741-2854
                15 July 2020
                March 2021
                : 67
                : 2
                : 150-157
                Affiliations
                [1 ]NORCE, Bergen, Norway
                [2 ]Norwegian Institute of Public Health, Bergen, Norway
                [3 ]Department of Psychosocial Science, University of Bergen, Bergen, Norway
                [4 ]Department of Psychology, University of Oslo, Oslo, Norway
                Author notes
                [*]Tonje Fyhn, NORCE, Postbox 7810, 5020 Bergen, Norway. Email: tofy@ 123456norceresearch.no
                Author information
                https://orcid.org/0000-0003-1768-5336
                Article
                10.1177_0020764020934841
                10.1177/0020764020934841
                8191162
                32666858
                5e8401d3-9b1a-4e5d-bbca-a11eade4e5ca
                © The Author(s) 2020

                This article is distributed under the terms of the Creative Commons Attribution 4.0 License ( https://creativecommons.org/licenses/by/4.0/) which permits any use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages ( https://us.sagepub.com/en-us/nam/open-access-at-sage).

                History
                Funding
                Funded by: helsedirektoratet, FundRef https://doi.org/10.13039/501100014232;
                Award ID: 12/9177
                Categories
                Original Articles
                Custom metadata
                ts1

                Clinical Psychology & Psychiatry
                ips,randomized controlled trial,mental illness,employment,predictors,involuntary hospitalization

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