Literature DB >> 14650646

Predicting length of stay on an acute care medical psychiatric inpatient service.

Mark A Blais1, John Matthews, Robin Lipkis-Orlando, Erin Lechner, Michelle Jacobo, Robert Lincoln, Christina Gulliver, John B Herman, Alyson F Goodman.   

Abstract

The goal of this study was to identify variables associated with length of stay (LOS) and to incorporate into the authors' routine preadmission assessment the measurement of these variables. A retrospective study of 80 discharged patients explored the association of 25 variables reflecting a mixture of patient/demographic variables, illness variables, and treatment variables with LOS. Multivariate analysis revealed that 10 variables independently accounted for 62% of the variance in LOS. The information used was obtained primarily in the preadmission screening. The predictive power of the variables shrank in the prospective study. However, fewer individual variables were significantly associated with LOS; the summed score of the variables predicted 17% of the LOS variance. Results indicated that factors important for estimating LOS are available at the time of admission, and these variables can be systematically assessed and incorporated into clinical decision making.

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Year:  2003        PMID: 14650646     DOI: 10.1023/a:1026044106172

Source DB:  PubMed          Journal:  Adm Policy Ment Health        ISSN: 0894-587X


  13 in total

1.  Determinants of inpatient psychiatric length of stay in an urban county hospital.

Authors:  Michael T Compton; Jason Craw; Bruce E Rudisch
Journal:  Psychiatr Q       Date:  2006

2.  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

3.  Characteristics and Needs of Psychiatric Patients With Prolonged Hospital Stay.

Authors:  Marc Afilalo; Nathalie Soucy; Xiaoqing Xue; Antoinette Colacone; Emmanuelle Jourdenais; Jean-François Boivin
Journal:  Can J Psychiatry       Date:  2015-04       Impact factor: 4.356

4.  Assessing overall functioning with adolescent inpatients.

Authors:  Greg Haggerty; Nicholas Forlenza; Charlotte Poland; Sagarika Ray; Jennifer Zodan; Ashwin Mehra; Ajay Goyal; Matthew R Baity; Caleb J Siefert; Sean Sobin; David Leite; Samuel J Sinclair
Journal:  J Nerv Ment Dis       Date:  2014-11       Impact factor: 2.254

5.  Forecasting length of stay in child residential treatment.

Authors:  David L Hussey; Shenyang Guo
Journal:  Child Psychiatry Hum Dev       Date:  2005

6.  Factors affecting hospital stay in psychiatric patients: the role of active comorbidity.

Authors:  Athanassios Douzenis; Dionysios Seretis; Stella Nika; Paraskevi Nikolaidou; Athanassia Papadopoulou; Emmanouil N Rizos; Christos Christodoulou; Christos Tsopelas; Dominic Mitchell; Lefteris Lykouras
Journal:  BMC Health Serv Res       Date:  2012-06-19       Impact factor: 2.655

7.  Physicians' ability to predict hospital length of stay for patients admitted to the hospital from the emergency department.

Authors:  Gregory Mak; William D Grant; James C McKenzie; John B McCabe
Journal:  Emerg Med Int       Date:  2012-01-26       Impact factor: 1.112

8.  Use of data mining techniques to determine and predict length of stay of cardiac patients.

Authors:  Peyman Rezaei Hachesu; Maryam Ahmadi; Somayyeh Alizadeh; Farahnaz Sadoughi
Journal:  Healthc Inform Res       Date:  2013-06-30

9.  Factors Associated with Length of Stay in Psychiatric Inpatient Services in London, UK.

Authors:  Loveday Newman; Victoria Harris; Lauren J Evans; Alison Beck
Journal:  Psychiatr Q       Date:  2018-03

10.  Predictors of length of stay in an acute psychiatric inpatient facility in a general hospital: a prospective study.

Authors:  Fernanda L Baeza; Neusa S da Rocha; Marcelo P Fleck
Journal:  Braz J Psychiatry       Date:  2017-07-06       Impact factor: 2.697

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