Literature DB >> 2396881

Evaluation of APACHE II for cost containment and quality assurance.

J M Civetta1, J A Hudson-Civetta, L D Nelson.   

Abstract

APACHE II (an acronym formed from acute physiology score and chronic health evaluation) has been proposed to limit intensive care unit (ICU) admissions ('cost containment') and to judge outcome ('quality assurance') of surgical patients. To judge its performance, a 6-month study of 372 surgical ICU patients was performed. When patients were divided by mean duration of stay, mortality rates rose from 1% (short stay) to 19% (long stay) (p less than 0.001) for patients with APACHE II scores less than 10, but decreased from 94% (short stay) to 60% (long stay) (p less than 0.01) for patients with APACHE II scores more than 24. Exclusion of patients by high or low APACHE scores would 'save' 6% of ICU days but risk increasing morbidity, hospital costs, and deaths. Grouped APACHE II scores did not correlate with total hospital charges (r = 0.05, p = 0.89) or ICU days used (r = 0.42, p = 0.17). Grouping by APACHE II score and duration of ICU stay showed neither symmetry nor uniformity of mortality rates. Surgical patients would not be well served by APACHE II for quality assurance or cost containment.

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Year:  1990        PMID: 2396881      PMCID: PMC1358154          DOI: 10.1097/00000658-199009000-00005

Source DB:  PubMed          Journal:  Ann Surg        ISSN: 0003-4932            Impact factor:   12.969


  14 in total

1.  APACHE III study design: analytic plan for evaluation of severity and outcome in intensive care unit patients. Implications.

Authors:  W Knaus; D Wagner; E Draper
Journal:  Crit Care Med       Date:  1989-12       Impact factor: 7.598

2.  Therapeutic intervention scoring system: a method for quantitative comparison of patient care.

Authors:  D J Cullen; J M Civetta; B A Briggs; L C Ferrara
Journal:  Crit Care Med       Date:  1974 Mar-Apr       Impact factor: 7.598

3.  APACHE II: a severity of disease classification system.

Authors:  W A Knaus; E A Draper; D P Wagner; J E Zimmerman
Journal:  Crit Care Med       Date:  1985-10       Impact factor: 7.598

4.  An evaluation of outcome from intensive care in major medical centers.

Authors:  W A Knaus; E A Draper; D P Wagner; J E Zimmerman
Journal:  Ann Intern Med       Date:  1986-03       Impact factor: 25.391

5.  Prediction of outcome and severity of illness by analysis of the frequency distributions of cardiorespiratory variables.

Authors:  W C Shoemaker; C Pierchala; P Chang; D State
Journal:  Crit Care Med       Date:  1977 Mar-Apr       Impact factor: 7.598

6.  High-cost users of medical care.

Authors:  C J Zook; F D Moore
Journal:  N Engl J Med       Date:  1980-05-01       Impact factor: 91.245

7.  A method for predicting survival and mortality of ICU patients using objectively derived weights.

Authors:  S Lemeshow; D Teres; H Pastides; J S Avrunin; J S Steingrub
Journal:  Crit Care Med       Date:  1985-07       Impact factor: 7.598

8.  Outcome of intensive care. An application of a predictive model.

Authors:  J V Snyder; M McGuirk; A Grenvik; D Stickler
Journal:  Crit Care Med       Date:  1981-08       Impact factor: 7.598

9.  APACHE-acute physiology and chronic health evaluation: a physiologically based classification system.

Authors:  W A Knaus; J E Zimmerman; D P Wagner; E A Draper; D E Lawrence
Journal:  Crit Care Med       Date:  1981-08       Impact factor: 7.598

10.  Identification of low-risk monitor patients within a medical-surgical intensive care unit.

Authors:  D P Wagner; W A Knaus; E A Draper; J E Zimmerman
Journal:  Med Care       Date:  1983-04       Impact factor: 2.983

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  7 in total

1.  Prognostic scoring indicator in evaluation of clinical outcome in intestinal perforations.

Authors:  Ashish Ahuja; Ravinder Pal
Journal:  J Clin Diagn Res       Date:  2013-09-10

2.  APACHE scoring and prediction of survival in intensive care.

Authors:  S N Pilkington; P J McQuillan; G B Smith; B L Taylor
Journal:  BMJ       Date:  1995-05-06

3.  Analysis of the effect of conversion from open to closed surgical intensive care unit.

Authors:  S Ghorra; S E Reinert; W Cioffi; G Buczko; H H Simms
Journal:  Ann Surg       Date:  1999-02       Impact factor: 12.969

4.  [Value of the Hannover Intensive Score (HIS) in internal medicine intensive care].

Authors:  A von Bierbrauer; C Burchardt; H H Müller; P von Wichert
Journal:  Med Klin (Munich)       Date:  1998-09-15

5.  Comparative vascular audit using the POSSUM scoring system.

Authors:  G P Copeland; D Jones; A Wilcox; P L Harris
Journal:  Ann R Coll Surg Engl       Date:  1993-05       Impact factor: 1.891

6.  Organ function during early acute renal failure does not predict survival in long-term intensive care.

Authors:  P Størset; N Smith-Erichsen; P Vaagenes
Journal:  Intensive Care Med       Date:  1995-10       Impact factor: 17.440

Review 7.  Multiple organ failure. Pathophysiology and potential future therapy.

Authors:  E A Deitch
Journal:  Ann Surg       Date:  1992-08       Impact factor: 12.969

  7 in total

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