Literature DB >> 7745668

Uses and abuses of statistical models for evaluating trauma care.

J M Jones1, A D Redmond, J Templeton.   

Abstract

OBJECTIVE: A statistical model is a powerful tool for evaluating trauma care. With accident and emergency clinicians becoming more aware of the importance of monitoring their department's performance, there is a danger that such models may be inappropriately applied to new sets of trauma cases, resulting in misleading evaluations. The primary objective is to present a method for assessing whether an existing survival probability model can be correctly applied to a different data set.
METHODS: Correct and incorrect utilization of statistical models for evaluating the mortality of trauma patients are presented. Circumstances that may lead to the modification of an existing model, and the use of statistical models for evaluating different aspects of trauma care, are suggested.

Entities:  

Mesh:

Year:  1995        PMID: 7745668     DOI: 10.1097/00005373-199501000-00023

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


  6 in total

1.  Evaluation of trauma care: validation of the TRISS method in an Italian ICU.

Authors:  U Corbanese; C Possamai; L Casagrande; P Bordino
Journal:  Intensive Care Med       Date:  1996-09       Impact factor: 17.440

2.  Prehospital triage and survival of major trauma patients in a Dutch regional trauma system: relevance of trauma registry.

Authors:  Leontien M Sturms; Josephine M Hoogeveen; Saskia Le Cessie; Peter E Schenck; Paul V M Pahlplatz; Mike Hogervorst; Gerrolt N Jukema
Journal:  Langenbecks Arch Surg       Date:  2006-05-13       Impact factor: 3.445

3.  Influence of routine computed tomography on predicted survival from blunt thoracoabdominal trauma.

Authors:  R van Vugt; J Deunk; M Brink; H M Dekker; D R Kool; A B van Vugt; M J Edwards
Journal:  Eur J Trauma Emerg Surg       Date:  2010-07-29       Impact factor: 3.693

4.  Comparison of risk-adjusted survival in two Scandinavian Level-I trauma centres.

Authors:  Poya Ghorbani; Kjetil Gorseth Ringdal; Morten Hestnes; Nils Oddvar Skaga; Torsten Eken; Anders Ekbom; Lovisa Strömmer
Journal:  Scand J Trauma Resusc Emerg Med       Date:  2016-05-10       Impact factor: 2.953

5.  The Utstein template for uniform reporting of data following major trauma: a joint revision by SCANTEM, TARN, DGU-TR and RITG.

Authors:  Kjetil G Ringdal; Timothy J Coats; Rolf Lefering; Stefano Di Bartolomeo; Petter Andreas Steen; Olav Røise; Lauri Handolin; Hans Morten Lossius
Journal:  Scand J Trauma Resusc Emerg Med       Date:  2008-08-28       Impact factor: 2.953

6.  Norwegian survival prediction model in trauma: modelling effects of anatomic injury, acute physiology, age, and co-morbidity.

Authors:  J M Jones; N O Skaga; S Søvik; H M Lossius; T Eken
Journal:  Acta Anaesthesiol Scand       Date:  2014-01-20       Impact factor: 2.105

  6 in total

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