alexa Predictors of Length of Stay in an Acute Psychiatric Ho
ISSN: 2380-5439

Journal of Health Education Research & Development
Open Access

OMICS International organises 3000+ Global Conferenceseries Events every year across USA, Europe & Asia with support from 1000 more scientific Societies and Publishes 700+ Open Access Journals which contains over 50000 eminent personalities, reputed scientists as editorial board members.

Open Access Journals gaining more Readers and Citations

700 Journals and 15,000,000 Readers Each Journal is getting 25,000+ Readers

This Readership is 10 times more when compared to other Subscription Journals (Source: Google Analytics)

Research Article

Predictors of Length of Stay in an Acute Psychiatric Hospital

Muaid H Ithman, Ganesh Gopalakrishna*, Niels C Beck, Jairam Das and Gregory Petroski
University of Missouri-Columbia, Columbia, Missouri, USA
Corresponding Author : Ganesh Gopalakrishna
Assistant Professor
University of Missouri-Columbia
Columbia, Missouri, USA
Tel: 573-882-8006
E-mail: [email protected]
Received November 09, 2013; Accepted March 01, 2014; Published March 03, 2014
Citation: Ithman MH, Goplarkrishna G,Beck NC, Das J, Petroski G (2014) Predictors of Length of Stay in an Acute Psychiatric Hospital. J Biosafety Health Educ 2:119. doi:10.4172/2332-0893.1000119
Copyright: © 2014 Ithman MH, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Related article at
DownloadPubmed DownloadScholar Google


Length of stay (LOS) in acute psychiatric hospitals has been heightened in recent years with the current economic climate and a growing realization that health care costs need to be contained. This study was designed to identify predictors of LOS which are available at the time of admission. Charts of 391 admissions to an acute psychiatric hospital were reviewed on the basis of a pre-constructed checklist. Regression modeling with the natural logarithm of LOS as the dependent variable was used to identify a multivariate model for LOS. Age, marital status, involuntary admission and diagnosis of an affective disorder or a psychotic disorder were shown to be independent variables that predicted length of stay. These variables in a multivariate model accounted for approximately 19% of the variance in LOS.


Share This Page

Additional Info

Loading Please wait..
Peer Reviewed Journals
Make the best use of Scientific Research and information from our 700 + peer reviewed, Open Access Journals
International Conferences 2017-18
Meet Inspiring Speakers and Experts at our 3000+ Global Annual Meetings

Contact Us

© 2008-2017 OMICS International - Open Access Publisher. Best viewed in Mozilla Firefox | Google Chrome | Above IE 7.0 version