Literature DB >> 9234473

Predicting length of stay in psychiatry.

F Creed1, B Tomenson, P Anthony, M Tramner.   

Abstract

BACKGROUND: Diagnostic Related Groups (DRGs) and Healthcare Resource Groups (HRGs) do not predict accurately length of stay or resources needed for treatment in psychiatry. This preliminary study assessed the relative contribution of severity of illness, in combination with other variables, in predicting length of stay.
METHOD: Data were analysed on 115 consecutive admissions to a district psychiatric in-patient unit to assess the variables which most accurately predict length of stay. The variables included demographic data, diagnosis, clinical, social and behavioural measures.
RESULTS: For initial admission, diagnosis of neurosis predicted shortest stay, but diagnosis alone accounted for only 14.6% of the variation in length of stay. Addition of Social Behaviour Scale score, living alone and specific psychiatric symptoms significantly increased the predictive value (adjusted R2 = 36.6%). Addition of variables available at discharge (use of ECT, major tranquillizers and antidepressants) significantly increased the adjusted R2 to 49.0%. Prediction of total length of hospitalization over a 12-month period, from the date of initial admission, indicated that mania predicted the longest stay and addition of other variables meant that only 18.9% of length of stay was predicted.
CONCLUSION: If these results are borne out in a large study, they indicate that diagnostic or health related groups (DRGs) are only likely to be useful in psychiatry if they include more detailed social, clinical and behavioural variables.

Entities:  

Mesh:

Year:  1997        PMID: 9234473     DOI: 10.1017/s0033291796004588

Source DB:  PubMed          Journal:  Psychol Med        ISSN: 0033-2917            Impact factor:   7.723


  15 in total

1.  The determinants and outcomes of long-stay psychiatric admissions: a case-control study.

Authors:  Alex D Tulloch; Paul Fearon; Anthony S David
Journal:  Soc Psychiatry Psychiatr Epidemiol       Date:  2008-03-17       Impact factor: 4.328

2.  Costs of new atypical antipsychotic agents for schizophrenia: does unrestricted access reduce hospital utilization?

Authors:  Daria O'Reilly; David Craig; Leslie Phillips; Ron Goeree; Jean-Eric Tarride; Patrick Parfrey
Journal:  Healthc Policy       Date:  2007-08

3.  DRGs and other patient-, service- and area-level factors influencing length of stay in acute psychiatric wards: the Veneto Region experience.

Authors:  Riccardo Pertile; Valeria Donisi; Laura Grigoletti; Andrea Angelozzi; Giuseppe Zamengo; Grazia Zulian; Francesco Amaddeo
Journal:  Soc Psychiatry Psychiatr Epidemiol       Date:  2010-05-15       Impact factor: 4.328

4.  Outcome and length of stay in psychiatric hospitalization, the experience of the University Clinic of Turin.

Authors:  Paola Rocca; C Mingrone; T Mongini; C Montemagni; L Pulvirenti; G Rocca; F Bogetto
Journal:  Soc Psychiatry Psychiatr Epidemiol       Date:  2009-07-08       Impact factor: 4.328

5.  Determinants of geropsychiatric inpatient length of stay.

Authors:  Karen Blank; Laurel Hixon; Cindy Gruman; Julie Robison; Gene Hickey; Harold I Schwartz
Journal:  Psychiatr Q       Date:  2005

6.  Relationship between diagnosis and disposition of patients admitted to a state psychiatric hospital.

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7.  Length of stay: managed care agenda or a measure of clinical efficiency?

Authors:  Taft Parsons
Journal:  Psychiatry (Edgmont)       Date:  2006-06

8.  Length of stay for psychiatric inpatient services: a comparison of admissions of people with and without developmental disabilities.

Authors:  Haider Saeed; Hélène Ouellette-Kuntz; Heather Stuart; Philip Burge
Journal:  J Behav Health Serv Res       Date:  2003 Oct-Dec       Impact factor: 1.505

9.  Clinical outcome and length of stay in an Italian Psychiatric Emergency Service.

Authors:  T Frieri; C Montemagni; G Rocca; P Rocca; V Villari
Journal:  Soc Psychiatry Psychiatr Epidemiol       Date:  2012-10-30       Impact factor: 4.328

10.  Number of prior episodes and the presence of depressive symptoms are associated with longer length of stay for patients with acute manic episodes.

Authors:  Manuel Martin-Carrasco; Ana Gonzalez-Pinto; Jaime L Galan; Javier Ballesteros; Jorge Maurino; Eduard Vieta
Journal:  Ann Gen Psychiatry       Date:  2012-03-10       Impact factor: 3.455

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