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International Journal for Quality in Health Care 14:403-410 (2002)
© 2002 International Society for Quality in Health Care


Paper

A prospective study of prolonged stay in the intensive care unit: predictors and impact on resource utilization

YASEEN ARABI1, S. VENKATESH2, SAMIR HADDAD1, ABDULLAH AL SHIMEMERI1 and SALIM AL MALIK2

1Department of Intensive Care
2Department of Quality Management, King Fahad National Guard Hospital, Riyadh, Kingdom of Saudi Arabia

Objective. To evaluate the predictors of prolonged Intensive Care Unit (ICU) stay and the impact on resource utilization.

Design. Prospective study.

Setting. Adult medical/surgical ICU in a tertiary-care teaching hospital.

Study participants. All admissions to the ICU (numbering 947) over a 20-month period were enrolled. Data on demographic and clinical profile, length of stay, and outcome were collected prospectively. The ICU length of stay and mechanical ventilation days were used as surrogate parameters for resource utilization. Potential predictors were analyzed for possible association with prolonged ICU stay (length of stay >14 days).

Results. Patients with prolonged ICU stay formed only 11% of patients, but utilized 45.1% of ICU days and 55.5% of mechanical ventilation days. Non-elective admissions, readmissions, respiratory or trauma-related reasons for admission, and first 24-hour evidence of infection, oliguria, coagulopathy, and the need for mechanical ventilation or vasopressor therapy had significant association with prolonged ICU stay. Mean APACHE II and SAPS II were slightly higher in patients with prolonged stay. ICU outcome was comparable to patients with <=14 days ICU stay.

Conclusions. Patients with prolonged ICU stay form a small proportion of ICU patients, yet they consume a significant share of the ICU resources. The outcome of this group of patients is comparable to that of shorter stay patients. The predictors identified in the study can be used in targeting this group to improve resource utilization and efficiency of ICU care.

Keywords: intensive care, length of stay, predictors, prospective study, resource utilization, severity of illness


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