| Literature DB >> 30607447 |
Daniela Heddaeus1, Jörg Dirmaier1, Anne Daubmann2, Thomas Grochtdreis3, Hans-Helmut König3, Bernd Löwe4, Kerstin Maehder4, Sarah Porzelt5, Moritz Rosenkranz6, Ingo Schäfer6, Martin Scherer5, Bernd Schulte6, Olaf von dem Knesebeck7, Karl Wegscheider2, Angelika Weigel4, Silke Werner7, Thomas Zimmermann5, Martin Härter8.
Abstract
Healthcare for mental disorders is a big challenge for the German healthcare system. In cases of comorbid mental diseases, patients suffer from an especially high burden of disease. So far, innovative care models for collaborative and stepped care have only been investigated with respect to their effectiveness for single mental disorders.The project "Collaborative and Stepped Care in Mental Health by Overcoming Treatment Sector Barriers" (COMET), which is being carried out by the Hamburg Network for Health Services Research (HAM-NET) from 2017 until 2020, examines an innovative, guideline-based healthcare model for the improvement of healthcare for patients with mental illnesses and their potential comorbidities. In this article this new stepped and collaborative care model for patients in primary care that integrates general practitioners, psychiatrists, psychotherapists, and hospitals is presented. For the implementation and facilitation of the model, guideline-based treatment pathways, a tablet-based computer program for screening, diagnostic and guideline-based treatment recommendations, as well as a web-based transferal platform were developed.The results of this project on the effectiveness and efficacy of the model can help determine if the model can be implemented in routine healthcare. This could represent a major step towards more integrated and cross-sectoral healthcare for patients with mental illnesses.Entities:
Keywords: Collaborative care; Comorbidity; Guideline-based healthcare; Mental disorders; Stepped care
Mesh:
Year: 2019 PMID: 30607447 DOI: 10.1007/s00103-018-2865-1
Source DB: PubMed Journal: Bundesgesundheitsblatt Gesundheitsforschung Gesundheitsschutz ISSN: 1436-9990 Impact factor: 1.513