Literature DB >> 21103185

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

Taft Parsons1.   

Abstract

The purpose of this paper is to provide clinicians a review of the literature on length of stay (LOS) in an effort to differentiate between superficial pressure from managed care and efficient inpatient care. We included papers that were identified through an OVID Medline search. Length of stay and psychiatry were entered as search variables. Limitations placed on the search were English language, as well as years 1990 to present. On review of the search results, all case reports and editorials were eliminated. Papers with abstracts indicating that LOS was not a primary focus of the paper were also eliminated. Lastly, one paper studying adolescent patients was eliminated to improve the homogeneity of the studies under consideration. The results and discussion are presented in a qualitative fashion, citing findings of individual studies. Effort was made to give weight to studies with large samples, good study design with explanation of any limitations or shortcomings of the individual studies, and powerful findings. What we found was that despite daily pressure upon clinicians to continually reduce LOS, the body of literature examining methods to achieve this goal without sacrificing quality, as well as the outcomes of reduced LOS, is quite sparse. As this measure affects clinical management and the doctor/patient relationship, further in depth studies are needed. It appears that the best way to fulfill the clinician's responsibilities to the patients and third party payers is through improving the services already provided to the patient.

Entities:  

Keywords:  efficiency; length of stay; managed care; psychiatry

Year:  2006        PMID: 21103185      PMCID: PMC2990648     

Source DB:  PubMed          Journal:  Psychiatry (Edgmont)        ISSN: 1550-5952


  23 in total

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Authors:  B G Druss; M L Bruce; S C Jacobs; R A Hoff
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2.  Behavioral health services: carved out and managed.

Authors:  S Feldman
Journal:  Am J Manag Care       Date:  1998-06-25       Impact factor: 2.229

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Authors:  V Drury; M Birchwood; R Cochrane; F Macmillan
Journal:  Br J Psychiatry       Date:  1996-11       Impact factor: 9.319

4.  The attending psychiatrist as a predictor of length of stay.

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Journal:  Hosp Community Psychiatry       Date:  1991-10

5.  Predicting length of stay in psychiatry.

Authors:  F Creed; B Tomenson; P Anthony; M Tramner
Journal:  Psychol Med       Date:  1997-07       Impact factor: 7.723

6.  A retrospective study of determinants of length of stay in a geropsychiatric state hospital.

Authors:  E D Parks; N Josef
Journal:  Psychiatr Q       Date:  1997

Review 7.  Hospital care pathways for patients with schizophrenia.

Authors:  A Jones
Journal:  J Clin Nurs       Date:  2001-01       Impact factor: 3.036

8.  Bed closures and incarceration rates among users of Veterans Affairs mental health services.

Authors:  R A Rosenheck; S Banks; J Pandiani; R Hoff
Journal:  Psychiatr Serv       Date:  2000-10       Impact factor: 3.084

9.  Predicting the unpredictable: issues for output-based funding in psychiatric services.

Authors:  P A Faulkner; M J Tobin; M A Weir
Journal:  Aust Health Rev       Date:  1994       Impact factor: 1.990

10.  Profiling hospitals for length of stay for treatment of psychiatric disorders.

Authors:  Jeffrey S Harman; Brian J Cuffel; Kelly J Kelleher
Journal:  J Behav Health Serv Res       Date:  2004 Jan-Mar       Impact factor: 1.505

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  4 in total

1.  Factors Associated With Increases in US Health Care Spending, 1996-2013.

Authors:  Joseph L Dieleman; Ellen Squires; Anthony L Bui; Madeline Campbell; Abigail Chapin; Hannah Hamavid; Cody Horst; Zhiyin Li; Taylor Matyasz; Alex Reynolds; Nafis Sadat; Matthew T Schneider; Christopher J L Murray
Journal:  JAMA       Date:  2017-11-07       Impact factor: 56.272

2.  Health care utilization and cost after discharge from a mental health hospital; an RCT comparing community residential aftercare and treatment as usual.

Authors:  Eirik Roos; Ottar Bjerkeset; Aslak Steinsbekk
Journal:  BMC Psychiatry       Date:  2018-11-12       Impact factor: 3.630

3.  Statistical models for analyzing count data: predictors of length of stay among HIV patients in Portugal using a multilevel model.

Authors:  Ahmed Nabil Shaaban; Bárbara Peleteiro; Maria Rosario O Martins
Journal:  BMC Health Serv Res       Date:  2021-04-21       Impact factor: 2.655

4.  Factors and predictors of length of stay in offenders diagnosed with schizophrenia - a machine-learning-based approach.

Authors:  Johannes Kirchebner; Moritz Philipp Günther; Martina Sonnweber; Alice King; Steffen Lau
Journal:  BMC Psychiatry       Date:  2020-05-06       Impact factor: 3.630

  4 in total

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