Identifying patterns in psychiatric hospital stays with statistical methods: towards a typology of post-deinstitutionalization hospitalization trajectories.

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Serval ID
serval:BIB_3BAA14A95593
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
Identifying patterns in psychiatric hospital stays with statistical methods: towards a typology of post-deinstitutionalization hospitalization trajectories.
Journal
Social psychiatry and psychiatric epidemiology
Author(s)
Golay P., Morandi S., Conus P., Bonsack C.
ISSN
1433-9285 (Electronic)
ISSN-L
0933-7954
Publication state
Published
Issued date
11/2019
Peer-reviewed
Oui
Volume
54
Number
11
Pages
1411-1417
Language
english
Notes
Publication types: Journal Article
Publication Status: ppublish
Abstract
Over the past 50 years, deinstitutionalization changed the face of psychiatry. However, outpatient treatment in the community does not always fit the needs of those who left institutions and sometimes leads to frequent re-hospitalizations, a mechanism known as the "revolving door" phenomenon. The study aim was to identify different typologies of hospitalization trajectories.
Records of 892 inpatients from the Department of Psychiatry of Lausanne University Hospital were analyzed over a 3-year period with discrete sequential-state analysis.
Trajectories could be split between atypical users (4.9% of patients totalling 30.6% of hospital days) and regular users. Within the atypical users group, three categories were identified: "Permanent stays" (3 patients totalling 6.3% of hospital days), "long stays" (1.7% patients/8.6% hospital days) and "revolving door" stays (2.9% patients/15.8% hospital days). The remaining 95.1% of the patients were classified into "unique episodes" (70.0% patients/24.5% hospital days) and "repeated episodes" (25.0% patients/44.9% hospital days). Diagnoses of schizophrenia were overrepresented among heavy users.
Most patients went through a unique or low number of brief hospital admissions over the 3 years of the study. While the shift of previously institutionalized individuals towards high users of psychiatric hospital seems limited, this phenomenon should not be neglected since 4.9% of patients use about a third of hospital beds. Early identification of problematic profiles could allow the implementation of relapse prevention strategies and facilitate the development of alternatives to hospitalization such as assertive community treatment or housing first programs.
Keywords
Adult, Deinstitutionalization/statistics & numerical data, Facilities and Services Utilization/statistics & numerical data, Female, Hospitalization/statistics & numerical data, Hospitals, Psychiatric/statistics & numerical data, Humans, Inpatients/statistics & numerical data, Length of Stay/statistics & numerical data, Male, Middle Aged, Models, Statistical, Schizophrenia/epidemiology, Patterns, Psychiatric hospitalization, Re-hospitalization, Revolving door phenomenon
Pubmed
Web of science
Create date
25/04/2019 9:53
Last modification date
12/01/2021 7:08
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