Analyzing the impact of long-term patients on ICU bed utilization

Intensive Care Medicine

Volumn 26, Issue 9, 2000, Pages 1319-1325

  Weissman, Charles ^a  

^a HADASSAH HEBREW UNIVERSITY MEDICAL CENTER   (Israel)

Author keywords

Critical care; Intensive care; Length of stay; Mortality rate; Prolonged stay; Statistics; Surgery

Indexed keywords

ABDOMINAL AORTA ANEURYSM; ANEURYSM SURGERY; ARTICLE; HOSPITAL BED UTILIZATION; HUMAN; INTENSIVE CARE UNIT; LENGTH OF STAY; MAJOR CLINICAL STUDY; MORTALITY; SURGICAL PATIENT;

FEMALE; HUMAN; INTENSIVE CARE UNITS; LENGTH OF STAY; MALE; RETROSPECTIVE STUDIES;

EID: 0033797541     PISSN: 03424642     EISSN: None     Source Type: Journal    
DOI: 10.1007/s001340000612     Document Type: Article

References (18)

1. Fitting the distributions of length of stay by parametric models
2. Analyzing intensive care unit length of stay data: Problems and possible solutions
3. Basic statistics for clinical pathway evaluation
4. A discordancy test approach to identify outliers of length of hospital stay
5. Two sd or not two sd: High exception boundary options
6. Is it 'worthwhile' to continue treating patients with a prolonged stay ( > 14 days) in the ICU: An economic evaluation
7. Outcome and cost of prolonged stay in the surgical intensive care unit
8. Blast lung injury from an explosion on a civilian bus Chest
9. Influence of multiple organ dysfunction syndrome on duration of critical illness and hospitalization
10. Survival, quality of life, and charges in critically ill surgical patients requiring prolonged ICU stays
11. DRGs and outliers in surgical critical care
12. Prolonged hospitalization in the intensive care unit: A worthless effort?
13. Prolonged intensive care stay after abdominal surgery interventions with special reference to quality of life, occupational rehabilitation and economics
14. Utility of illness severity scoring for prediction of prolonged surgical critical care
15. Outcome following prolonged intensive care unit stay in multiple trauma patients
16. Determinants of duration of ICU stay after coronary artery bypass graft surgery
17. Use of a neural network as a predictive instrument for length of stay in the intensive care unit following cardiac surgery