Intensive Care Medicine

, Volume 33, Issue 8, pp 1329–1336

Variability in outcome and resource use in intensive care units

  • Hans U. Rothen
  • Kay Stricker
  • Johanna Einfalt
  • Peter Bauer
  • Philip G. H. Metnitz
  • Rui P. Moreno
  • Jukka Takala
Original

DOI: 10.1007/s00134-007-0690-3

Cite this article as:
Rothen, H.U., Stricker, K., Einfalt, J. et al. Intensive Care Med (2007) 33: 1329. doi:10.1007/s00134-007-0690-3

Abstract

Objective

To examine variability in outcome and resource use between ICUs. Secondary aims: to assess whether outcome and resource use are related to ICU structure and process, to explore factors associated with efficient resource use.

Design and setting

Cohort study, based on the SAPS 3 database in 275 ICUs worldwide.

Patients

16,560 adults.

Measurements and results

Outcome was defined by standardized mortality rate (SMR). Standardized resource use (SRU) was calculated based on length of stay in the ICU, adjusted for severity of acute illness. Each unit was assigned to one of four groups: “most efficient” (SMR and SRU < median); “least efficient” (SMR, SRU > median); “overachieving” (low SMR, high SRU), “underachieving” (high SMR, low SRU). Univariate analysis and stepwise logistic regression were used to test for factors separating “most” from “least efficient” units. Overall median SMR was 1.00 (IQR 0.77–1.28) and SRU 1.07 (0.76–1.58). There were 91 “most efficient”, 91 “least efficient”, 47 “overachieving”, and 46 “underachieving” ICUs. Number of physicians, of full-time specialists, and of nurses per bed, clinical rounds, availability of physicians, presence of emergency department, and geographical region were significant in univariate analysis. In multivariate analysis only interprofessional rounds, emergency department, and geographical region entered the model as significant.

Conclusions

Despite considerable variability in outcome and resource use only few factors of ICU structure and process were associated with efficient use of ICU. This suggests that other confounding factors play an important role.

Keywords

Intensive care unit Severity of illness Resource use ICU mortality Health services research Quality assessment 

Supplementary material

Copyright information

© Springer-Verlag 2007

Authors and Affiliations

  • Hans U. Rothen
    • 1
  • Kay Stricker
    • 2
  • Johanna Einfalt
    • 3
  • Peter Bauer
    • 3
  • Philip G. H. Metnitz
    • 4
  • Rui P. Moreno
    • 5
  • Jukka Takala
    • 1
  1. 1.Department of Intensive Care MedicineUniversity HospitalBerneSwitzerland
  2. 2.Department of Anesthesiology and Department of Intensive Care MedicineUniversity HospitalBerneSwitzerland
  3. 3.Department of Medical StatisticsUniversity of ViennaViennaAustria
  4. 4.Department of Anesthesiology and General Intensive CareUniversity Hospital of ViennaViennaAustria
  5. 5.Unidade de Cuidados Intensivos PolivalenteHospital de St. António dos Capuchos, Centro Hospitalar de Lisboa (Zona Central)LisbonPortugal

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