Literature DB >> 11583461

Prediction of readmission to acute psychiatric units.

R E Hodgson1, M Lewis, A P Boardman.   

Abstract

BACKGROUND: Many factors are known to influence readmission to psychiatric wards, and readmission rates have been suggested as proxy outcome indicators of quality.
METHOD: Korner returns were used to ascertain readmission rates for all psychiatric admissions to acute wards in North Staffordshire, 1987-1993. Predictor variables were derived from Korner returns or obtained from the 1991 Census data. Survival analysis techniques were used to examine which variables predicted readmission.
RESULTS: A predictive model was derived using Cox regression, which followed the observed data at greater than chance probability (chi2=48.5, df=4, P < 0.001). A psychotic diagnosis was the most influential predictor of readmission.
CONCLUSION: Length of stay is not predictive in the Cox regression model, which suggests patients are not being prematurely discharged. The derived models may have value in service planning, audit and resource allocation.

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Mesh:

Year:  2001        PMID: 11583461     DOI: 10.1007/s001270170049

Source DB:  PubMed          Journal:  Soc Psychiatry Psychiatr Epidemiol        ISSN: 0933-7954            Impact factor:   4.328


  12 in total

1.  Exploring the predictors of early readmission to psychiatric hospital.

Authors:  A D Tulloch; A S David; G Thornicroft
Journal:  Epidemiol Psychiatr Sci       Date:  2015-02-23       Impact factor: 6.892

2.  Psychiatric Rehospitalization: Development of a Person-Level Indicator for Care Planning and Quality Assurance.

Authors:  Christopher M Perlman; John P Hirdes; Simone Vigod
Journal:  Prim Care Companion CNS Disord       Date:  2015-07-23

3.  Risk Factors for Psychiatric Hospital Admission for Participants in California's Full-Service Partnership Program.

Authors:  Michael J Penkunas; Stephen Hahn-Smith
Journal:  Community Ment Health J       Date:  2014-12-20

4.  Patterns of mental health care utilisation: distribution of services and its predictability from routine data.

Authors:  Torhild Heggestad; Solfrid E Lilleeng; Torleif Ruud
Journal:  Soc Psychiatry Psychiatr Epidemiol       Date:  2010-10-12       Impact factor: 4.328

5.  The impact of severe mental illness, co-morbid personality disorders and demographic factors on psychiatric bed use.

Authors:  Patrick Keown; Frank Holloway; Elizabeth Kuipers
Journal:  Soc Psychiatry Psychiatr Epidemiol       Date:  2005-01       Impact factor: 4.328

6.  Risk of readmission in compulsorily and voluntarily admitted patients.

Authors:  Avi Valevski; Mark Olfson; Abraham Weizman; Roni Shiloh
Journal:  Soc Psychiatry Psychiatr Epidemiol       Date:  2007-08-21       Impact factor: 4.328

7.  The impact of co-morbid personality disorder on use of psychiatric services and involuntary hospitalization in people with severe mental illness.

Authors:  Marcella Lei-Yee Fok; Robert Stewart; Richard D Hayes; Paul Moran
Journal:  Soc Psychiatry Psychiatr Epidemiol       Date:  2014-04-09       Impact factor: 4.328

Review 8.  Is readmission a valid indicator of the quality of inpatient psychiatric care?

Authors:  Janet Durbin; Elizabeth Lin; Crystal Layne; Moira Teed
Journal:  J Behav Health Serv Res       Date:  2007-04-17       Impact factor: 1.475

9.  Factors associated with length of stay and the risk of readmission in an acute psychiatric inpatient facility: a retrospective study.

Authors:  Jianyi Zhang; Carol Harvey; Carol Andrew
Journal:  Aust N Z J Psychiatry       Date:  2011-07       Impact factor: 5.744

10.  Validity of clinically significant change classifications yielded by Jacobson-Truax and Hageman-Arrindell methods.

Authors:  Fiona R Ronk; Geoffrey R Hooke; Andrew C Page
Journal:  BMC Psychiatry       Date:  2016-06-06       Impact factor: 3.630

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