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John Rizzo, R. Friedkin, Christianna Williams, J. Nabors, D. Acampora, M. Tinetti (1998)
Health care utilization and costs in a Medicare population by fall status.Medical care, 36 8
M. Zisselman, B. Rovner, E. Yuen, D. Louis (1996)
Sedative‐Hypnotic Use and Increased Hospital Stay and Costs in Older PeopleJournal of the American Geriatrics Society, 44
H. Kales, F. Blow, L. Copeland, R. Bingham, E. Kammerer, A. Mellow (1999)
Health care utilization by older patients with coexisting dementia and depression.The American journal of psychiatry, 156 4
Brian Draper (1994)
The Elderly Admitted to a General Hospital Psychiatry WardAustralian and New Zealand Journal of Psychiatry, 28
J. Lyons, J. Colletta, M. Devens, S. Finkel (1995)
Validity of the Severity of Psychiatric Illness Rating Scale in a Sample of Inpatients on a Psychogeriatric UnitInternational Psychogeriatrics, 7
Francine Moss, B. Wilson, S. Harrigan, D. Ames (1995)
Psychiatric diagnoses, outcomes and lengths of stay of patients admitted to an acute psychogeriatric unitInternational Journal of Geriatric Psychiatry, 10
F. Creed, B. Tomenson, P. Anthony, M. Tramner (1997)
BRIEF COMMUNICATION Predicting length of stay in psychiatryPsychological Medicine, 27
J. Ormel, G. Kempen, B. Penninx, E. Brilman, A. Beekman, E. Sonderen (1997)
Chronic medical conditions and mental health in older people: disability and psychosocial resources mediate specific mental health effectsPsychological Medicine, 27
J. Snowdon (1993)
How Many Bed-Days for an Area's Psychogeriatric Patients?Australian and New Zealand Journal of Psychiatry, 27
Brian Draper, G. Luscombe (1998)
Quantification of factors contributing to length of stay in an acute psychogeriatrics wardInternational Journal of Geriatric Psychiatry, 13
Creed Creed, Tomenson Tomenson, Anthony Anthony, Tramner Tramner (1997)
Predicting length of stay in psychiatryPsycholo Med, 27
M. Tinetti, Christianna Williams (1997)
Falls, injuries due to falls, and the risk of admission to a nursing home.The New England journal of medicine, 337 18
Y. Conwell, J. Nelson, K. Kim, C. Mazure (1989)
Depression in late life: age of onset as marker of a subtype.Journal of affective disorders, 17 2
Objectives To identify factors which may contribute to prolonged length of stay in an elderly psychiatric inpatient setting. Design Retrospective case note study. Methods A list of all patients over the age of 65 discharged from a private psychiatric hospital over a three‐year period excluding those with a length of stay of over 365 days was obtained (n = 1147). A random sample of 150 patients was selected from the study population. A case note study was then performed looking at a number of variables which have been postulated to affect length of stay. The resulting data was analysed using multivariate statistics. Results There was no statistically significant association found between baseline factors (including age, gender, cognitive impairment, marital status, order of admission and preadmission living arrangement) and length of stay. Having recurrent falls whilst an inpatient was associated with prolonged hospital stay (p = 0.0006). Conclusion Experiencing recurrent falls whilst an inpatient is associated with prolonged length of stay. Recurrent falls in the elderly may be associated with both physical illness and the use of psychotropic medications. A prospective study examining factors contributing to falls would be important in decreasing fall risk and reducing length of stay. Copyright © 2001 John Wiley & Sons, Ltd.
International Journal of Geriatric Psychiatry – Wiley
Published: Oct 1, 2001
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