Objectives The study examines the clinical determinants of involuntary psychiatric hospitalization. Specifically, it investigates whether distinct clinical profiles of hospitalized patients can be discerned, what other characteristics they are linked with, and which profiles predict involuntary admission. Methods In this cross‐sectional multicentre population study, data were collected for 1067 consecutive admissions in all public psychiatric clinics of Thessaloniki, Greece, during 12 months. Through Latent Class Analysis distinct patient clinical profiles were established based on Health of the Nation Outcome Scales ratings. The profiles were then correlated with sociodemographic, other clinical, and treatment‐related factors as covariates and admission status as a distal outcome. Results Three profiles emerged. The “Disorganized Psychotic Symptoms” profile, combining positive psychotic symptomatology and disorganization, included mainly men, with previous involuntary hospitalizations and poor contact with mental health services and adherence to medication, indicating a deteriorating condition and chronic course. Τhe “Active Psychotic Symptoms” profile included younger persons with positive psychotic symptomatology in the context of normal functioning. The “Depressive Symptoms” profile, characterized by depressed mood coupled with nonaccidental self‐injury, included mainly older women in regular contact with mental health professionals and treatment. The first two profiles were associated with involuntary admission and the third with voluntary admission. Conclusions Identifying patient profiles allows the examination of the combined effect of clinical, sociodemographic, and treatment‐related characteristics as risk factors for involuntary hospitalization, moving beyond the variable‐centered approach mainly adopted to date. The identification of two profiles associated with involuntary admission necessitates the development of interventions tailored to chronic patients and younger persons suffering from psychosis respectively.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.