Exploring correlates of high psychiatric inpatient utilization in Switzerland: a descriptive and machine learning analysis
High utilization behavior remains a complex phenomenon, which can only partly be explained by psychiatric, psychological, or social/demographic characteristics. Self-reported unmet patient needs seems to be a promising variable which may be targeted by further research in order to potentially reduce unnecessary hospitalizations or develop better tailored psychiatric treatments.
Authors
- Undine E. Lang (ORCID: https://orcid.org/0000-0002-3585-6533)
- Julian Moeller (ORCID: https://orcid.org/0000-0002-7823-3651)
- Mariela E. Jaffé (ORCID: https://orcid.org/0000-0001-9612-5008)
- Christian G. Huber (ORCID: https://orcid.org/0000-0002-2246-9008)
- Regula Luethi
- Andrea H. Meyer (ORCID: https://orcid.org/0000-0003-2761-6107)
- Stefan Borgwardt (ORCID: https://orcid.org/0000-0002-5792-3987)
- Stefan Weinmann (ORCID: https://orcid.org/0000-0002-0953-4696)
- Roselind Lieb (ORCID: https://orcid.org/0000-0002-2039-2262)
- Helen Stepulovs
Institutions
- University of Basel (CH)
- University Hospital of Zurich (CH)
- Universitäre Psychiatrische Kliniken Basel (CH)
- University of Lübeck (DE)
Publication Details
- Journal
- BMC Psychiatry
- Published
- 2024-12-23
- DOI
- https://doi.org/10.1186/s12888-024-06388-6
- Citations
- 1
- Primary Topic
- Schizophrenia research and treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.39