Literature DB >> 15973912

Outcome-based clinical indicators for intensive care medicine.

G Duke1, J Santamaria, F Shann, P Stow.   

Abstract

The clinical indicator is a tool used to monitor the quality of health care. Its use in the Intensive Care Unit (ICU) is desirable for many reasons: the maintenance of minimum standards, the development of best practice and the delivery of cost-effective health care. The utility of clinical indicators in ICU is limited by the lack of universal, robust, transparent, evidence-based and risk-adjusted measures of quality, and the difficulties in defining "quality care" and "good outcome". Monitoring of adverse events, system descriptors, and resource indicators is valuable but they have a limited relationship to the quality of care. ICU mortality prediction models provide a global measure of quality and, despite their inherent deficiencies, remain one of the most robust and useful clinical indicators.

Mesh:

Year:  2005        PMID: 15973912     DOI: 10.1177/0310057X0503300305

Source DB:  PubMed          Journal:  Anaesth Intensive Care        ISSN: 0310-057X            Impact factor:   1.669


  4 in total

1.  Improved outcomes from acute severe asthma in Australian intensive care units (1996 2003).

Authors:  Peter J Stow; David Pilcher; John Wilson; Carol George; Michael Bailey; Tracey Higlett; Rinaldo Bellomo; Graeme K Hart
Journal:  Thorax       Date:  2007-03-27       Impact factor: 9.139

2.  Intensive care unit bounce back in trauma patients: an analysis of unplanned returns to the intensive care unit.

Authors:  Samir M Fakhry; Stuart Leon; Chris Derderian; Hasan Al-Harakeh; Pamela L Ferguson
Journal:  J Trauma Acute Care Surg       Date:  2013-06       Impact factor: 3.313

3.  Time series analysis as input for clinical predictive modeling: modeling cardiac arrest in a pediatric ICU.

Authors:  Curtis E Kennedy; James P Turley
Journal:  Theor Biol Med Model       Date:  2011-10-24       Impact factor: 2.432

4.  Development and validation of a procedure-based organ failure assessment model for patients in the intensive care unit: an administrative database study.

Authors:  Hiroyuki Ohbe; Hayato Yamana; Hiroki Matsui; Hideo Yasunaga
Journal:  Acute Med Surg       Date:  2021-12-22
  4 in total

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