Literature DB >> 26654874

Trauma centre patient volume and inpatient mortality risk reconsidered.

J Forrest Calland1, George J Stukenborg2.   

Abstract

BACKGROUND: Several studies have examined the relationship between injury volumes and trauma centre outcomes, with varying results attributable to differences in the measurement of volume's effect on mortality and differences in how characteristics are addressed as potential confounders.
METHODS: This analysis includes all trauma cases reported to the NTDB 2012. The effect of trauma centre volume on patient mortality risk was measured in three different contexts: as a linear function of trauma centre volume, as a dichotomous function comparing patients in trauma centres with and without 1200 or more cases, and as a non-linear function of trauma centre volume. Multivariable weighted Hierarchical Generalized Linear Models were used to account for the combined effects of facility level and patient level covariates. Patient level mortality risk was assessed using the ACS Trauma Quality Improvement Programme methodology.
RESULTS: Trauma centre volume was not a statistically significant predictor (at the α=0.01 level) of patient mortality risk, in any of the three models. Comprehensive adjustments for patient level risk were obtained, with excellent discrimination between survivor and decedent cases. The addition of trauma volume to baseline patient mortality risk yielded no improvement in the accuracy of any model. These results were not sensitive to the inclusion of Level II trauma centres. Equivalent results were obtained by repeating the analysis for the Level I subpopulation only.
CONCLUSIONS: Case volume may be a reasonable standard for determining whether adequate numbers of injured patients are available to support training needs and experience requirements of a Level I trauma centre. However, case volume is not a useful predictor of patient mortality in individual facilities. Trauma centre volume has no independent effect, after accounting for the patient level characteristics that predominantly influence mortality.
Copyright © 2015 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  ACS National Trauma Data Bank; ACS Trauma Quality Improvement Programme; Inpatient mortality; Trauma centre patient volume; Weighted Hierarchical Generalised Linear Models

Mesh:

Year:  2015        PMID: 26654874     DOI: 10.1016/j.injury.2015.11.017

Source DB:  PubMed          Journal:  Injury        ISSN: 0020-1383            Impact factor:   2.586


  3 in total

1.  The European guideline on management of major bleeding and coagulopathy following trauma: fifth edition.

Authors:  Donat R Spahn; Bertil Bouillon; Vladimir Cerny; Jacques Duranteau; Daniela Filipescu; Beverley J Hunt; Radko Komadina; Marc Maegele; Giuseppe Nardi; Louis Riddez; Charles-Marc Samama; Jean-Louis Vincent; Rolf Rossaint
Journal:  Crit Care       Date:  2019-03-27       Impact factor: 9.097

2.  Process times of severely injured patients in the emergency room are associated with patient volume: a registry-based analysis.

Authors:  Rolf Lefering; Christian Waydhas
Journal:  Eur J Trauma Emerg Surg       Date:  2022-05-11       Impact factor: 3.693

3.  Differences in Characteristics and Outcome of Patients with Penetrating Injuries in the USA and the Netherlands: A Multi-institutional Comparison.

Authors:  Suzan Dijkink; Pieta Krijnen; Aglaia Hage; Gwendolyn M Van der Wilden; George Kasotakis; Dennis Den Hartog; Ali Salim; J Carel Goslings; Frank W Bloemers; Steven J Rhemrev; David R King; George C Velmahos; Inger B Schipper
Journal:  World J Surg       Date:  2018-11       Impact factor: 3.352

  3 in total

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