[Severity of illness explains the inadequacy between diagnosis-related groups and intensive care patients. Groupe GHM]

Ann Fr Anesth Reanim. 1996;15(7):1041-7. doi: 10.1016/s0750-7658(96)89476-7.
[Article in French]

Abstract

Objective: To assess the relationship between diagnosis related groups (DRG) and severity of illness in intensive care unit (ICU) patients in semf1tical and economical terms.

Study design: Prospective, multicentric study including 13 medical and surgical ICUs for adults.

Material: Discharge reports of 3,215 ICU admissions including age, gender, diagnosis, organ system failures, length of stay (LOS) and severity of illness evaluated with severity scores (SS): simplified acute physiological score (SAPS). Apache II, Glasgow score and physiological score (PS).

Methods: Semantical homogeneity was evaluated from the percentage of well-classified patients established from the comparison between the official computerized method and a non-computerized method applied by three clinical experts. Economical homogeneity was evaluated from the relationship between SS and LOS.

Results: In total, 88% (CI: 87.7-88.2) of ICU stays were classified in eight main categories of diagnosis (MCD). According to the MCD, the percentage of well-classified patients varied from 28% (CI: 27.6-28.3) to 97% (CI: 96.8-97.1), decreasing with the association of several diagnoses and organ system failures. There was a large variability in the LOS of DRG and a significant correlation between LOS and SS was found in only 8/16 DRG.

Conclusion: The fact that the severity of illness is not taken into account in the elaboration of DRGs explains the inadequacy of the DRG system in intensive care.

Publication types

  • Clinical Trial
  • English Abstract
  • Multicenter Study

MeSH terms

  • Adult
  • Algorithms
  • Critical Care / statistics & numerical data*
  • Diagnosis-Related Groups / statistics & numerical data*
  • Female
  • Humans
  • Male
  • Management Information Systems
  • Prospective Studies
  • Severity of Illness Index