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

Published online by Cambridge University Press:  01 September 2022

F. Meixner ,
R. Kilian  and
A. Müller-Stierlin
F. Meixner*
Affiliation:
Ulm University, Department Of Psychiatry Ii, Bezirkskrankenhaus Günzburg, Günzburg, Germany
R. Kilian
Affiliation:
Ulm University, Department Of Psychiatry Ii, Bezirkskrankenhaus Günzburg, Günzburg, Germany
A. Müller-Stierlin
Affiliation:
Ulm University, Department Of Psychiatry Ii, Bezirkskrankenhaus Günzburg, Günzburg, Germany Ulm University, Institute Of Epidemiology And Medical Biometry, Ulm, Germany
*
*Corresponding author.

Abstract

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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.

Keywords

severe mental illnessCommunity-based mental health careIntegrated community careAssessment
Type
Abstract
Information
European Psychiatry , Volume 65 , Special Issue S1: Abstracts of the 30th European Congress of Psychiatry , June 2022 , pp. S614
Creative Commons
Creative Common License - CCCreative Common License - BY
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.
Copyright
© The Author(s), 2022. Published by Cambridge University Press on behalf of the European Psychiatric Association
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