A multidisciplinary quality management system for the early treatment of severely injured patients: implementation and results in two trauma centers View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2002-10

AUTHORS

Steffen Ruchholtz, Christian Waydhas, Ulrike Lewan, Karl Piepenbrink, Dietmar Stolke, Jörg Debatin, Leonhard Schweiberer, Dieter Nast-Kolb

ABSTRACT

OBJECTIVE: The impact of a multidisciplinary quality management system (MQMS) on the early treatment of severely injured patients was tested. DESIGN AND SETTING: Prospective clinical study in two level 1 trauma centers. METHODS AND MATERIALS: MQMS comprised a protocol for documentation, 20 assessment criteria, and the judgement of data by a quality circle. After implementation in Munich (1st period, n=90; 2nd period, n=77) the validation took place in Essen (1st period, n=175; 2nd period, n=150). RESULTS: Improvements in diagnostics were shown by significant time savings in radiological diagnostics and before computed tomography in severe traumatic brain injury. In patients with hemorrhagic shock there was a reduction in time before transfusion (49 to 14 min in Munich; 31 to 22 min in Essen) and before emergency operation (74 to 43 min in Munich; 69 to 45 min in Essen). The time before craniotomy was reduced from 97 to 67 min in Munich. The incidence of delayed diagnosis of life-threatening lesions was diminished from 6% to 3% in Munich (not found in Essen). The TRISS technique showed a reduction in mortality in both hospitals in the second period (Munich: 15.4% TRISS vs. 9.1% observed mortality; Essen: 17.8% vs. 11.3%). CONCLUSIONS: MQMS improved early clinical treatment in severe injury with respect to therapeutic effectiveness and outcome. The effectiveness of the MQMS was shown at two different hospitals More... »

PAGES

1395-1404

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s00134-002-1446-8

DOI

http://dx.doi.org/10.1007/s00134-002-1446-8

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1039872004

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/12373463


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RDF/XML is a standard XML format for linked data.

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