Literature DB >> 2514522

[Diagnosis-specific hospital length of stay in Schleswig-Holstein].

J G Brecht1, A Jenke.   

Abstract

About 900,000 stays in 34 hospitals of Schleswig-Holstein during the years 1977-1984 have been analysed in a retrospective study. The purpose of this research was to determine the reasons explaining the length of stay in hospitals. Analyses of variance indicate considerable difference between the 289 diagnostic labels and between structures of determinants. On the average about 20 percent of the variance in length of stay can be explained by characteristics of patients, hospitals and the environment. In prospective studies the presentation of the different diagnostic group related patterns of determinants may be useful in selecting tracer-diagnoses and independent characteristics.

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Mesh:

Year:  1989        PMID: 2514522     DOI: 10.1007/bf02083445

Source DB:  PubMed          Journal:  Soz Praventivmed        ISSN: 0303-8408


  12 in total

1.  The effect of hospital characteristics and organizational factors on pre- and postoperative lengths of hospital stay.

Authors:  L J Cannoodt; J R Knickman
Journal:  Health Serv Res       Date:  1984-12       Impact factor: 3.402

2.  Length of stay variations: a focused review.

Authors:  S D Horn; G C Roveti; S L Kreitzer
Journal:  QRB Qual Rev Bull       Date:  1980-02

3.  Organizational determinants of surgical lengths of stay.

Authors:  S R Eastaugh
Journal:  Inquiry       Date:  1980       Impact factor: 1.730

4.  Length-of-stay variations within ICDA-8 diagnosis-related groups.

Authors:  S E Berki; M L Ashcraft; W C Newbrander
Journal:  Med Care       Date:  1984-02       Impact factor: 2.983

5.  Marital status and its relation to the use of short-stay hospitals and nursing homes.

Authors:  W F Lewis
Journal:  Public Health Rep       Date:  1984 Jul-Aug       Impact factor: 2.792

6.  The impact of hospital market structure on patient volume, average length of stay, and the cost of care.

Authors:  J C Robinson; H S Luft
Journal:  J Health Econ       Date:  1985-12       Impact factor: 3.883

7.  Regional differences in hospital utilization. How much can be traced to population differences?

Authors:  J R Knickman; A M Foltz
Journal:  Med Care       Date:  1984-11       Impact factor: 2.983

8.  Hospital DRGs and the need for long-term care services: an empirical analysis.

Authors:  M R Meiners; R M Coffey
Journal:  Health Serv Res       Date:  1985-08       Impact factor: 3.402

9.  Comparing classification methods: measurement of variations in charges, length of stay, and mortality.

Authors:  S D Horn; D N Schumacher
Journal:  Med Care       Date:  1982-05       Impact factor: 2.983

10.  [Evaluation of the Swiss Hospital Association diagnostic and surgical statistics].

Authors:  T Spuhler; T Abelin; H Ehrengruber; R Gass; F Gutzwiller; C Minder; J Stutz; H Adam
Journal:  Soz Praventivmed       Date:  1982-09
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