The intensive care unit provides continuous surveillance and highly specialized care for the sickest hospitalized patients. It is a high cost service and an assessment of its performance is necessary to optimize quality of care while minimizing costs. This research has developed a set of novel prognostic systems to predict hospital mortality in critically ill adults in Australasia for the purpose of monitoring and evaluating intensive care services. The Australian and New Zealand Risk of Death model contained in this thesis has significantly improved casemix adjustment and facilitated more accurate benchmarking of intensive care performance throughout Australia and New Zealand
This study of ventilated patients investigated pneumonia risk factors and outcome predictors in 476 ...
I ntensive care unit (ICU) out-comes, such as mortality andlength of stay, have been a subjectof int...
Rationale: Use of death as an outcome of intensive care unit (ICU) admission may be biased by differ...
for the ANZICS Centre for Outcome and Resource Evaluation (CORE) of the Australian and New Zealand I...
ObjectiveIntensive care unit (ICU) outcomes have been the subject of controversy. The objective was ...
OBJECTIVES: To develop methods for distinguishing patients with in-hospital cardiac arrest (IHCA) fr...
Accurate mortality prediction in intensive care units (ICUs) allows for the risk adjustment of study...
Intensive care unit (ICU) prognostic models can be used to predict mortality outcomes for criticall...
Background: The Australian and New Zealand Intensive Care Society (ANZICS) Adult Patient Database (A...
Background: Risk adjusted mortality for intensive care units (ICU) is usually estimated via logistic...
OBJECTIVES: The mortality outcome of mechanical ventilation, a key intervention in the critically il...
To investigate in a systematic, reproducible way the potential of adding increasing levels of diagno...
Risk adjusted mortality for intensive care units (ICU) is usually estimated via logistic regression....
Background Mortality prediction models are applied in the intensive care unit (ICU) to stratify pati...
BACKGROUND: The Australian and New Zealand Intensive Care Society (ANZICS) Adult Patient Database (A...
This study of ventilated patients investigated pneumonia risk factors and outcome predictors in 476 ...
I ntensive care unit (ICU) out-comes, such as mortality andlength of stay, have been a subjectof int...
Rationale: Use of death as an outcome of intensive care unit (ICU) admission may be biased by differ...
for the ANZICS Centre for Outcome and Resource Evaluation (CORE) of the Australian and New Zealand I...
ObjectiveIntensive care unit (ICU) outcomes have been the subject of controversy. The objective was ...
OBJECTIVES: To develop methods for distinguishing patients with in-hospital cardiac arrest (IHCA) fr...
Accurate mortality prediction in intensive care units (ICUs) allows for the risk adjustment of study...
Intensive care unit (ICU) prognostic models can be used to predict mortality outcomes for criticall...
Background: The Australian and New Zealand Intensive Care Society (ANZICS) Adult Patient Database (A...
Background: Risk adjusted mortality for intensive care units (ICU) is usually estimated via logistic...
OBJECTIVES: The mortality outcome of mechanical ventilation, a key intervention in the critically il...
To investigate in a systematic, reproducible way the potential of adding increasing levels of diagno...
Risk adjusted mortality for intensive care units (ICU) is usually estimated via logistic regression....
Background Mortality prediction models are applied in the intensive care unit (ICU) to stratify pati...
BACKGROUND: The Australian and New Zealand Intensive Care Society (ANZICS) Adult Patient Database (A...
This study of ventilated patients investigated pneumonia risk factors and outcome predictors in 476 ...
I ntensive care unit (ICU) out-comes, such as mortality andlength of stay, have been a subjectof int...
Rationale: Use of death as an outcome of intensive care unit (ICU) admission may be biased by differ...