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An approach to identify people with mental illness that can be expected to benefit from integrated community care in Germany

INTRODUCTION: Although integrated community care programs specifically tailored to patients with severe mental illness (SMI) are available, recent studies show that these programs are not always provided to the population which would benefit the most from it. OBJECTIVES: Aims of this study were the...

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Autores principales: Meixner, F., Kilian, R., Müller-Stierlin, A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cambridge University Press 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9567445/
http://dx.doi.org/10.1192/j.eurpsy.2022.1572
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author Meixner, F.
Kilian, R.
Müller-Stierlin, A.
author_facet Meixner, F.
Kilian, R.
Müller-Stierlin, A.
author_sort Meixner, F.
collection PubMed
description INTRODUCTION: Although integrated community care programs specifically tailored to patients with severe mental illness (SMI) are available, recent studies show that these programs are not always provided to the population which would benefit the most from it. OBJECTIVES: Aims of this study were the selection of clinical and psychosocial characteristics and the development of a screening algorithm indicating the need for integrated community care services in people with mental disorders. METHODS: Data of an observational longitudinal study including N=511 participants has been used to examine the hypothesized determinants. At baseline, self-reported empowerment has been assessed via the EPAS and psychosocial impairment and perceived needs have been rated by research workers via the HoNOS and the CAN, respectively. Use of integrated community care services was defined as at least four appointments with service providers over six months and has been recorded via the CSSRI twelve to 18 months after baseline. Mixed-effects regression analyses have been performed to test the predictive value of the hypothesized determinants and marginal predictions were used to define cut-offs for the assessment tool. RESULTS: EPAS, HoNOS and CAN scores each proved to be significant predictors for using integrated community care services. Cut-off scores for each predictor are presented, forming practical assessment guidelines for future studies. CONCLUSIONS: A screening tool and an algorithm for the identification of mentally ill patients who can be expected to benefit from integrated community mental health care programs is available for the German health care system. DISCLOSURE: No significant relationships.
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spelling pubmed-95674452022-10-17 An approach to identify people with mental illness that can be expected to benefit from integrated community care in Germany Meixner, F. Kilian, R. Müller-Stierlin, A. Eur Psychiatry Abstract INTRODUCTION: Although integrated community care programs specifically tailored to patients with severe mental illness (SMI) are available, recent studies show that these programs are not always provided to the population which would benefit the most from it. OBJECTIVES: Aims of this study were the selection of clinical and psychosocial characteristics and the development of a screening algorithm indicating the need for integrated community care services in people with mental disorders. METHODS: Data of an observational longitudinal study including N=511 participants has been used to examine the hypothesized determinants. At baseline, self-reported empowerment has been assessed via the EPAS and psychosocial impairment and perceived needs have been rated by research workers via the HoNOS and the CAN, respectively. Use of integrated community care services was defined as at least four appointments with service providers over six months and has been recorded via the CSSRI twelve to 18 months after baseline. Mixed-effects regression analyses have been performed to test the predictive value of the hypothesized determinants and marginal predictions were used to define cut-offs for the assessment tool. RESULTS: EPAS, HoNOS and CAN scores each proved to be significant predictors for using integrated community care services. Cut-off scores for each predictor are presented, forming practical assessment guidelines for future studies. CONCLUSIONS: A screening tool and an algorithm for the identification of mentally ill patients who can be expected to benefit from integrated community mental health care programs is available for the German health care system. DISCLOSURE: No significant relationships. Cambridge University Press 2022-09-01 /pmc/articles/PMC9567445/ http://dx.doi.org/10.1192/j.eurpsy.2022.1572 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Abstract
Meixner, F.
Kilian, R.
Müller-Stierlin, A.
An approach to identify people with mental illness that can be expected to benefit from integrated community care in Germany
title An approach to identify people with mental illness that can be expected to benefit from integrated community care in Germany
title_full An approach to identify people with mental illness that can be expected to benefit from integrated community care in Germany
title_fullStr An approach to identify people with mental illness that can be expected to benefit from integrated community care in Germany
title_full_unstemmed An approach to identify people with mental illness that can be expected to benefit from integrated community care in Germany
title_short An approach to identify people with mental illness that can be expected to benefit from integrated community care in Germany
title_sort approach to identify people with mental illness that can be expected to benefit from integrated community care in germany
topic Abstract
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9567445/
http://dx.doi.org/10.1192/j.eurpsy.2022.1572
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