Research Article 2026-04-23 posted v1

Design, implementation and evaluation of PSY-KOMO care - Improving the quality of treatment for people with severe mental illness to reduce physical comorbidity and prevent increased mortality: a study protocol

A
Anja Viehmann Institute for Health Services Research and Health Economics, Centre for Health and Society, Faculty of Medicine, Heinrich Heine University and University Hospital Düsseldorf, Düsseldorf, Germany
N
Natalia Wege Institute of General Practice, Centre for Health and Society, Faculty of Medicine, Heinrich Heine University and University Hospital Düsseldorf, Düsseldorf, Germany
V
Verena Leve Institute of General Practice, Centre for Health and Society, Faculty of Medicine, Heinrich Heine University and University Hospital Düsseldorf, Düsseldorf, Germany
F
Frank Jacobi Psychologische Hochschule Berlin, Berlin, Germany
M
Martina Hahn Department of Psychiatry, Psychotherapy and Psychosomatics, University Medicine Frankfurt, Frankfurt, Germany
W
Walter Hewer Klinikum Christophsbad, Göppingen, Germany
J
Julia K. Wolff IGES Institute, Berlin, Germany
F
Frank Schneider Institute for History, Theory and Ethics in Medicine, Centre for Health and Society, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
C
Catharina Scholl Federal Institute for Drugs and Medical Devices, Research Division, Bonn Germany
S
Stefan Wilm Institute of General Practice, Centre for Health and Society, Faculty of Medicine, Heinrich Heine University and University Hospital Düsseldorf, Düsseldorf, Germany
A
Andrea Icks Institute for Health Services Research and Health Economics, Centre for Health and Society, Faculty of Medicine, Heinrich Heine University and University Hospital Düsseldorf, Düsseldorf, Germany

Abstract

Background: Individuals with severe mental illness (SMI) have an increased risk for physical comorbidities, such as diabetes and cardiovascular disease, leading to reduced life expectancy. The overshadowing phenomenon is a major contributor to this health inequality, as clinical attention is predominantly focused on the management of psychiatric conditions, often to the detriment of physical health problems. PSY-KOMO aims at filling this gap by implementing an intervention focused on improving the prevention, detection and management of physical diseases in SMI patients through structuring the diagnostic approach of psychiatrists, providing patient navigators and building interdisciplinary health networks. Methods: The study design is a multicentre, non-randomized study with an intervention group (IG) receiving the new treatment PSY-KOMO care compared with a matched external control group (CG) (quasi-experimental design). Three endpoints are evaluated: (1) Improvement in the detection of physical diseases (incidence); (2) improvement in guideline-based treatment of the physical diseases; and (3) improvement of prevention and screening for physical diseases. These endpoints are compared between the IG and the external CG using regression analyses. Based on the sample size calculation, 1,302 participants with severe mental illness (SMI) were planned to be recruited for the intervention group (IG) to analyse the primary endpoint. Patients were included from four distinct regions in Germany: Frankfurt am Main, Neuss, Greifswald, and Göppingen. For analyses and matching of an external control group, data from the Association of Statutory Health Insurance Physicians are used. Discussion: The results will be used to evaluate the effectiveness of the PSY-KOMO intervention.   Trial registration: DRKS (DRKS - Deutsches Register Klinischer Studien)- Deutsches Register Klinischer Studien, DRKS00030200 registered on 27th January 2023.

Citation Information

@article{anjaviehmann2026,
  title={Design, implementation and evaluation of PSY-KOMO care - Improving the quality of treatment for people with severe mental illness to reduce physical comorbidity and prevent increased mortality: a study protocol},
  author={Anja Viehmann and Natalia Wege and Verena Leve and Frank Jacobi and Martina Hahn and Walter Hewer and Julia K. Wolff and Frank Schneider and Catharina Scholl and Stefan Wilm and Andrea Icks},
  journal={Research Square},
  year={2026},
  doi={https://doi.org/10.21203/rs.3.rs-9488151/v1}
}
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