Literature DB >> 23719669

[Cross sectional study of structural quality of German intensive care units. A reevaluation of the DIVI register].

C Fölsch1, N Kofahl, C Waydhas, R Stiletto.   

Abstract

BACKGROUND: Effectiveness of intensive care treatment is essential to cope with increasing costs. The German national register of intensive care established by the German Interdisciplinary Association for Intensive Care Medicine (DIVI) contains basic data on the structure of intensive care units in Germany. A repeat analysis of data of the DIVI register within 8 years provides information for the development of intensive care units under different economic circumstances.
METHODS: The recent data on the structure of intensive care units were obtained in 2008 and compared with the primary multicenter study from 2000. The hospitals selected were a representative sample for the whole of Germany. Data on the status of the hospital, staff and technical facilities, foundation of the hospital and the statistics of mechanically ventilated patients were analyzed.
RESULTS: The technical facilities and the number of staff have improved from 2000 to 2008. A smaller availability of diagnostic procedures and staff remain in hospitals for basic treatment outside normal working hours. The average utilization of intensive care unit beds was not altered. The existence of intermediate care units did not significantly change the proportion of patients with artificial ventilation or ventilation times. The number of beds in intensive care units was unchanged as was the average number of beds in units and the number of patients treated. A relevant number of beds of intensive care units shifted towards hospitals with private foundation without changes in the overall numbers. The structure of the hospitals was comparable at both time points.
CONCLUSIONS: The introduction of intermediate care units did not alter ventilation parameters of patients in 2008 compared with 2000. There is no obvious medical reason for the shift of intensive care beds towards private hospitals. The number of staff and patients varied considerably between the intensive care units. The average number of patients treated per bed was not different between the periods or between hospitals with different structures. Overall availability of medical staff and diagnostic procedures increased during the study period. An increase of availability of fully trained medical staff in intensive care medicine is desirable to increase the quality of treatment.

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Year:  2013        PMID: 23719669     DOI: 10.1007/s00063-013-0251-1

Source DB:  PubMed          Journal:  Med Klin Intensivmed Notfmed        ISSN: 2193-6218            Impact factor:   0.840


  26 in total

1.  [Occurrence and prevention of errors in intensive care units].

Authors:  A Valentin
Journal:  Med Klin Intensivmed Notfmed       Date:  2012-04-06       Impact factor: 0.840

2.  Organizational factors associated with decreased mortality among Veterans Affairs patients with an ICU stay.

Authors:  Anne E Sales; Gwendolyn G Lapham; Janet Squires; Alison Hutchinson; Peter Almenoff; Nancy D Sharp; Elliott Lowy; Yu-Fang Li
Journal:  Comput Inform Nurs       Date:  2011-09       Impact factor: 1.985

3.  Hospital mortality rate and length of stay in patients admitted at night to the intensive care unit.

Authors:  Ian J Morales; Steve G Peters; Bekele Afessa
Journal:  Crit Care Med       Date:  2003-03       Impact factor: 7.598

4.  Understaffing, overcrowding, inappropriate nurse:ventilated patient ratio and nosocomial infections: which parameter is the best reflection of deficits?

Authors:  F Schwab; E Meyer; C Geffers; P Gastmeier
Journal:  J Hosp Infect       Date:  2011-12-19       Impact factor: 3.926

5.  Cost accounting of adult intensive care: methods and human and capital inputs.

Authors:  T W Noseworthy; E Konopad; A Shustack; R Johnston; M Grace
Journal:  Crit Care Med       Date:  1996-07       Impact factor: 7.598

Review 6.  Comparative economic analyses of patient safety improvement strategies in acute care: a systematic review.

Authors:  Edward Etchells; Marika Koo; Nick Daneman; Andrew McDonald; Michael Baker; Anne Matlow; Murray Krahn; Nicole Mittmann
Journal:  BMJ Qual Saf       Date:  2012-04-22       Impact factor: 7.035

7.  [Risk management--a new aspect of quality assessment in intensive care medicine: first results of an analysis of the DIVI's interdisciplinary quality assessment research group].

Authors:  R Stiletto; M Röthke; E Schäfer; R Lefering; Ch Waydhas
Journal:  Zentralbl Chir       Date:  2006-10       Impact factor: 0.942

8.  Relationship between TISS and ICU cost.

Authors:  H Dickie; A Vedio; R Dundas; D F Treacher; R M Leach
Journal:  Intensive Care Med       Date:  1998-10       Impact factor: 17.440

9.  Early indicators of prolonged intensive care unit stay: impact of illness severity, physician staffing, and pre-intensive care unit length of stay.

Authors:  Thomas L Higgins; William T McGee; Jay S Steingrub; John Rapoport; Stanley Lemeshow; Daniel Teres
Journal:  Crit Care Med       Date:  2003-01       Impact factor: 7.598

10.  Hospital costs in patients receiving prolonged mechanical ventilation: does age have an impact?

Authors:  Lakshmipathi Chelluri; Aaron B Mendelsohn; Steven H Belle; Armando J Rotondi; Derek C Angus; Michael P Donahoe; Carl A Sirio; Richard Schulz; Michael R Pinsky
Journal:  Crit Care Med       Date:  2003-06       Impact factor: 7.598

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