Critical Illness Outcomes Study

2014-08-27 03:14:12 | BioPortfolio


We will test whether the way that an intensive care unit is organized can influence patient related outcomes such as mortality. We will test whether who works in the ICU, and how the ICU is managed will affect the care received by patients. The primary study hypothesis is whether the number of clinical protocols present in an intensive care unit is linked to patient mortality


Title: Do ICU Structural and Procedural Factors Influence Patient Related Outcomes: The Critical Illness Outcome Study (CIOS)

Objectives: This is an exploratory ecologic study designed to examine the organizational and structural factors present in adult intensive care units in the United States. A second objective is to determine whether these organizational and structural factors are associated with patient related outcomes. In addition, we intend to examine whether these organizational and structural issues are associated with patient treatments.

Hypotheses: (Ho) A. The number of protocols used in an ICU is inversely associated with ICU and hospital survival for critically ill patients.

B. Compliance with disease specific protocols is not independently associated with hospital survival for critically ill patients

Specific Aims

1. To describe the organizational structure of participating intensive care units

2. To determine whether the number of protocols used in an intensive care unit is associated with ICU and hospital survival for critically ill patients

3. To determine the frequency with which ICU's follow disease specific protocols for patients with sepsis and ALI

Study Design

1. Prospective ecologic study of 50-60 adult intensive care units and admitted patients

2. ICU organizational and structural data will be collected for each participating ICU

3. 125-200 adult patients in each intensive care unit will be enrolled. Patients within the ICU on a varying, specific day each week will be included. Demographic and treatment variables will be collected for that day on that patient. Outcome data will be collected on ICU and hospital discharge.

Study Design

Observational Model: Ecologic or Community, Time Perspective: Prospective


Critical Illness


Johns Hopkins Bayview Medical Center
United States


Not yet recruiting


National Institute of General Medical Sciences (NIGMS)

Results (where available)

View Results


Published on BioPortfolio: 2014-08-27T03:14:12-0400

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Medical and Biotech [MESH] Definitions

A disease or state in which death is possible or imminent.

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Simulation of symptoms of illness or injury with intent to deceive in order to obtain a goal, e.g., a claim of physical illness to avoid jury duty.

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