Literature DB >> 7897733

American College of Surgeons audit filters: associations with patient outcome and resource utilization.

W S Copes1, C F Staz, C W Konvolinka, W J Sacco.   

Abstract

OBJECTIVE: To determine if trauma patients qualifying by a 1990 American College of Surgeons (ACS) audit filter have the same outcomes and resource utilizations as similar (matching) patients not qualifying by the filter.
DESIGN: Retrospective, case control study.
MATERIALS AND METHODS: Data for 21,175 patients submitted during 1992 to the Pennsylvania Trauma Outcome Study (PTOS) were analyzed. Patients qualifying by each 1990 ACS audit filter were identified, except filters 13 and 22 that were not accommodated by the PTOS form. In addition, qualifiers by filter 21 (trauma deaths) were not analyzed. For each qualifier by a filter, matching patients who were not qualifiers by the filter were identified. Matching patients had the same cause of injury, A Severity Characterization of Trauma (ASCOT) age category, distribution of serious (Abbreviated Injury Score of > 2) injuries, intubation status, and coded Revised Trauma Score values on Emergency Department arrival. Qualifiers and matching patients were compared for their survival (z and W statistics), discharge disability (PTOS-Functional Independence Measure), and lengths of stay in the hospital (H-LOS) and in the Intensive Care Unit (ICU-LOS).
MEASUREMENTS AND MAIN RESULTS: More than 57% of the study sample qualified by one or more filters. Filters 10 and 12 did not have sufficient qualifiers for evaluation. No filter's qualifiers were associated with significantly more disability at discharge than matching patients. The most frequently occurring filters (4, 2, and 5, respec-tively) deal with documentation deficiencies, but were not associated with significant results. Qualifiers by the nine filters below were associated with significantly greater mortality or H-LOS or ICU-LOS. [table: see text]
CONCLUSIONS: Additional studies of the efficacy and efficiency of trauma quality assurance filters are needed. Objective criteria should be established for the definition, evaluation, modification, and adoption of trauma audit filters.

Entities:  

Mesh:

Year:  1995        PMID: 7897733     DOI: 10.1097/00005373-199503000-00027

Source DB:  PubMed          Journal:  J Trauma        ISSN: 0022-5282


  14 in total

1.  Trauma outcomes: a death analysis study.

Authors:  M Sugrue; M Seger; D Sloane; J Compton; K Hillman; S Deane
Journal:  Ir J Med Sci       Date:  1996 Apr-Jun       Impact factor: 1.568

2.  Lack of emergency medical services documentation is associated with poor patient outcomes: a validation of audit filters for prehospital trauma care.

Authors:  Dann J Laudermilch; Melissa A Schiff; Avery B Nathens; Matthew R Rosengart
Journal:  J Am Coll Surg       Date:  2009-12-04       Impact factor: 6.113

3.  Lack of change in trauma care in England and Wales since 1994.

Authors:  F E Lecky; M Woodford; O Bouamra; D W Yates
Journal:  Emerg Med J       Date:  2002-11       Impact factor: 2.740

4.  Trauma center maturation: quantification of process and outcome.

Authors:  A B Peitzman; A P Courcoulas; C Stinson; A O Udekwu; T R Billiar; B G Harbrecht
Journal:  Ann Surg       Date:  1999-07       Impact factor: 12.969

5.  The advantages of early trauma team activation in the management of major trauma patients who underwent exploratory laparotomy.

Authors:  Youngsun Yoo; Seongpyo Mun
Journal:  Ann Surg Treat Res       Date:  2014-11-28       Impact factor: 1.859

6.  A comparison of the treatment of severe injuries between the former East and West German States.

Authors:  Carsten Mand; Thorben Müller; Rolf Lefering; Steffen Ruchholtz; Christian A Kühne
Journal:  Dtsch Arztebl Int       Date:  2013-03-22       Impact factor: 5.594

7.  District-level hospital trauma care audit filters: Delphi technique for defining context-appropriate indicators for quality improvement initiative evaluation in developing countries.

Authors:  Barclay T Stewart; Adam Gyedu; Robert Quansah; Wilfred Larbi Addo; Akis Afoko; Pius Agbenorku; Forster Amponsah-Manu; James Ankomah; Ebenezer Appiah-Denkyira; Peter Baffoe; Sam Debrah; Peter Donkor; Theodor Dorvlo; Kennedy Japiong; Adam L Kushner; Martin Morna; Anthony Ofosu; Victor Oppong-Nketia; Stephen Tabiri; Charles Mock
Journal:  Injury       Date:  2015-09-28       Impact factor: 2.586

Review 8.  Emergency intubation for acutely ill and injured patients.

Authors:  F Lecky; D Bryden; R Little; N Tong; C Moulton
Journal:  Cochrane Database Syst Rev       Date:  2008-04-16

9.  Key performance indicators in British military trauma.

Authors:  Adam Stannard; Nigel R Tai; Douglas M Bowley; Mark Midwinter; Tim J Hodgetts
Journal:  World J Surg       Date:  2008-08       Impact factor: 3.352

10.  Canadian benchmarks for acute injury care.

Authors:  Lynne Moore; David Evans; Natalie L Yanchar; Jaimini Thakore; Henry Thomas Stelfox; Morad Hameed; Richard Simons; John Kortbeek; Julien Clément; François Lauzier; Alexis F Turgeon
Journal:  Can J Surg       Date:  2017-12       Impact factor: 2.089

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