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Predicting length of stay and readmission for psychiatric inpatient youth admitted to adult mental health beds in O ntario, C anada
Author(s) -
Stewart Shan L.,
Kam Chester,
Baiden Philip
Publication year - 2014
Publication title -
child and adolescent mental health
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.912
H-Index - 46
eISSN - 1475-3588
pISSN - 1475-357X
DOI - 10.1111/camh.12022
Subject(s) - psychiatry , logistic regression , psychopathology , schizophrenia (object oriented programming) , mood , mood disorders , mental health , medicine , depression (economics) , intellectual disability , bipolar disorder , clinical psychology , anxiety , economics , macroeconomics
Background The purpose of this study was to examine demographic, background, and psychopathology variables that predict length of stay and readmission among youth with mental health needs. Method We analyzed data on 2445 youth who were admitted into adult psychiatric beds in Ontario, Canada. Multiple regression was used to examine length of stay, whereas logistic regression was used to examine the predictors of readmission. Results Youth were likely to stay longer in hospital if they were older, were boys, had a diagnosis of schizophrenia, mood disorders, eating disorders, personality disorders, and intellectual disability. Education, discharged against medical advice, and a diagnosis of adjustment disorders were all associated with shorter length of stay. Age, living in a group home or assisted care, a diagnosis of schizophrenia, mood disorders, and intellectual disability predicted readmission. Conclusion Strategies to improve current psychiatric services (e.g. how to reduce psychiatric hospital readmissions) are discussed.