A Retrospective Study of Determinants of Length of Stay in a Geropsychiatric State Hospital

A Retrospective Study of Determinants of Length of Stay in a Geropsychiatric State Hospital This pilot study investigated the importance of social, clinical, and discharge factors in predicting extended length of stay (LOS) in a state geropsychiatric hospital. The authors reviewed medical records of all first time admissions during a 22 month period. A total of 272 patients age 60 and older were admitted for the first time during this period. Nine variables comprised of medical, demographic, social, and discharge information were examined in a retrospective analysis to assess their relationship to LOS. The mean and standard deviation of days spent in hospital was 392.3 +/− 752.81. The median number of days of hospitalization was 72.0. Single marital status, type of living arrangement, polypharmacy, and limited functional status were predictive of LOS. Our findings underscore the challenge within geropsychiatry of treating patients with coexisting medical conditions who also have significant behavioral, mood, and/or cognitive disturbances. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Psychiatric Quarterly Springer Journals

A Retrospective Study of Determinants of Length of Stay in a Geropsychiatric State Hospital

Loading next page...
 
/lp/springer_journal/a-retrospective-study-of-determinants-of-length-of-stay-in-a-rq5S0PmsGD
Publisher
Springer Journals
Copyright
Copyright © 1997 by Human Sciences Press, Inc.
Subject
Medicine & Public Health; Psychiatry; Public Health; Sociology, general
ISSN
0033-2720
eISSN
1573-6709
D.O.I.
10.1023/A:1025413320151
Publisher site
See Article on Publisher Site

Abstract

This pilot study investigated the importance of social, clinical, and discharge factors in predicting extended length of stay (LOS) in a state geropsychiatric hospital. The authors reviewed medical records of all first time admissions during a 22 month period. A total of 272 patients age 60 and older were admitted for the first time during this period. Nine variables comprised of medical, demographic, social, and discharge information were examined in a retrospective analysis to assess their relationship to LOS. The mean and standard deviation of days spent in hospital was 392.3 +/− 752.81. The median number of days of hospitalization was 72.0. Single marital status, type of living arrangement, polypharmacy, and limited functional status were predictive of LOS. Our findings underscore the challenge within geropsychiatry of treating patients with coexisting medical conditions who also have significant behavioral, mood, and/or cognitive disturbances.

Journal

Psychiatric QuarterlySpringer Journals

Published: Oct 14, 2004

References

  • Predictors of mortality in older patients following medical intensive care: the importance of functional status
    Mayer-Oakes, SA; Oye, RK; Leake, B

You’re reading a free preview. Subscribe to read the entire article.


DeepDyve is your
personal research library

It’s your single place to instantly
discover and read the research
that matters to you.

Enjoy affordable access to
over 18 million articles from more than
15,000 peer-reviewed journals.

All for just $49/month

Explore the DeepDyve Library

Search

Query the DeepDyve database, plus search all of PubMed and Google Scholar seamlessly

Organize

Save any article or search result from DeepDyve, PubMed, and Google Scholar... all in one place.

Access

Get unlimited, online access to over 18 million full-text articles from more than 15,000 scientific journals.

Your journals are on DeepDyve

Read from thousands of the leading scholarly journals from SpringerNature, Elsevier, Wiley-Blackwell, Oxford University Press and more.

All the latest content is available, no embargo periods.

See the journals in your area

DeepDyve

Freelancer

DeepDyve

Pro

Price

FREE

$49/month
$360/year

Save searches from
Google Scholar,
PubMed

Create lists to
organize your research

Export lists, citations

Read DeepDyve articles

Abstract access only

Unlimited access to over
18 million full-text articles

Print

20 pages / month

PDF Discount

20% off