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Hospital-Level Variation in the Use of Intensive Care



This article is corrected by:

  1. Errata: Correction to “Hospital-Level Variation in the Use of Intensive Care” Volume 48, Issue 2pt1, 681, Article first published online: 8 March 2013

Address correspondence to Christopher W. Seymour, M.D., M.Sc., Assistant Professor Departments of Critical Care & Emergency Medicine, University of Pittsburgh School of Medicine, Core Faculty, Clinical Research, Investigation, and Systems Modeling of Acute Illness (CRISMA) Center, 639 Scaife Hall 3550 Terrace Street, Pittsburgh, PA 15261; e-mail:



To determine the extent to which hospitals vary in the use of intensive care, and the proportion of variation attributable to differences in hospital practice that is independent of known patient and hospital factors.

Data Source

Hospital discharge data in the State Inpatient Database for Maryland and Washington States in 2006.

Study Design

Cross-sectional analysis of 90 short-term, acute care hospitals with critical care capabilities.

Data Collection/Methods

We quantified the proportion of variation in intensive care use attributable to hospitals using intraclass correlation coefficients derived from mixed-effects logistic regression models after successive adjustment for known patient and hospital factors.

Principal Findings

The proportion of hospitalized patients admitted to an intensive care unit (ICU) across hospitals ranged from 3 to 55 percent (median 12 percent; IQR: 9, 17 percent). After adjustment for patient factors, 19.7 percent (95 percent CI: 15.1, 24.4) of total variation in ICU use across hospitals was attributable to hospitals. When observed hospital characteristics were added, the proportion of total variation in intensive care use attributable to unmeasured hospital factors decreased by 26–14.6 percent (95 percent CI: 11, 18.3 percent).


Wide variability exists in the use of intensive care across hospitals, not attributable to known patient or hospital factors, and may be a target to improve efficiency and quality of critical care.