Please use this identifier to cite or link to this item: https://www.um.edu.mt/library/oar/handle/123456789/23882
Title: Predicting hospital length of stay for geriatric patients with mood disorders
Authors: Ismail, Zahinoor
Arenovich, Tamara
Grieve, Charlotte
Willett, Peggie
Sajeev, Gautam
Mamo, David
MacQueen, Glenda M.
Mulsant, Benoit H.
Keywords: Geriatric psychiatry
Psychiatric hospitals -- Length of stay
Affective disorders
Manic-depressive illness
Issue Date: 2012
Publisher: Sage Publications, Inc.
Citation: Ismail, Z., Arenovich, T., Grieve, C., Willett, P., Sajeev, G., Mamo, D. C., ... & Mulsant, B. H. (2012). Predicting hospital length of stay for geriatric patients with mood disorders. The Canadian Journal of Psychiatry, 57(10), 627-634.
Abstract: Objective: To determine predictors of hospital length of stay (LOS) for adult and geriatric patients with mood disorders admitted to inpatient psychiatric beds. Method: Admission and discharge data from a large urban mental health centre, from 2005 to 2010 inclusive, were retrospectively analyzed. Using the Resident Assessment Instrument—Mental Health, an assessment that is used to collect demographic and clinical information within 72 hours of hospital admission, 199 geriatric mood disorder admissions were compared with 570 adult mood disorder admissions. Predictors of hospital LOS were determined using a series of general linear models. Results: Living alone, number of recent psychiatric admissions, involuntary admission, and close or constant observation level predict longer hospital LOS in geriatric, but not in adult mood disorder, patients. Conversely, pain on admission predicts shorter hospital LOS in geriatric, but not among adult, mood disorder patients. Predictors of longer hospital LOS, irrespective of admission group (adult, compared with geriatric), include incapacity, negative symptoms, and increased dependence for instrumental activities of daily living. Conclusions: Addressing these predictive factors early on during admission and in the community may result in shorter hospital LOS and more optimal use of resources.
URI: https://www.um.edu.mt/library/oar//handle/123456789/23882
Appears in Collections:Scholarly Works - FacM&SPsy

Files in This Item:
File Description SizeFormat 
070674371205701107.pdf
  Restricted Access
562.6 kBAdobe PDFView/Open Request a copy


Items in OAR@UM are protected by copyright, with all rights reserved, unless otherwise indicated.