DOWNLOAD ~ Comparison of Intensive Care Outcome Prediction Models Based on Admission Scores with Those Based on 24-Hour Data (Report) ~ by Anaesthesia and Intensive Care ~ eBook PDF Kindle ePub Free
eBook details
- Title: Comparison of Intensive Care Outcome Prediction Models Based on Admission Scores with Those Based on 24-Hour Data (Report)
- Author : Anaesthesia and Intensive Care
- Release Date : January 01, 2008
- Genre: Health & Fitness,Books,Health, Mind & Body,
- Pages : * pages
- Size : 227 KB
Description
The outcome prediction model is an epidemiological tool for clinical research, audit and benchmarking. By taking into account pre-existing patient factors such as age or prior health status which affect patient outcome but are outside our control, it is possible to derive a mathematical equation to adjust for these factors (1). Risk-adjustment is crucial for comparing diverse groups of patients as case mix varies from one hospital to another and illness severity varies between patients, even those with the same diagnosis. The majority of intensive care units (ICU) across Australia and New Zealand collect the variables for three internationally validated outcome prediction models: 1) the Acute Physiology and Chronic Health Evaluation model version II (2) (APACHE II); 2) the APACHE model version IIIJ (3) (APACHE III) and 3) the Simplified Acute Physiology Score version II (SAPS II) (4). These data are submitted to the Australian and New Zealand Intensive Care Society Adult Patient Database (5) for the purposes of research and benchmarking. The Australian Health Care Standards supports this endeavour by including this activity as a clinical indicator for intensive care services (6).
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