4.3 Article

Clinical determinants of involuntary psychiatric hospitalization: A clinical profile approach

Journal

JOURNAL OF CLINICAL PSYCHOLOGY
Volume 79, Issue 9, Pages 2081-2100

Publisher

WILEY
DOI: 10.1002/jclp.23528

Keywords

clinical characteristics; HoNOS; involuntary hospitalization; Latent Class Analysis; psychiatric admission

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This study aims to investigate the clinical determinants of involuntary psychiatric hospitalization. Three distinct patient profiles were identified, with two of them being significantly associated with involuntary admission. It is necessary to develop interventions tailored to chronic patients and younger individuals suffering from psychosis.
ObjectivesThe 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. MethodsIn 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. ResultsThree 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. tau he 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. ConclusionsIdentifying 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.

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