Literature DB >> 35546201

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

Rolf Lefering1, Christian Waydhas2,3.   

Abstract

PURPOSE: Hospitals involved in the care of severely injured patients treat a varying number of such cases per year. Large hospitals were expected to show a better performance regarding process times in the emergency room. The present investigation analyzed whether this assumption was true, based on a large national trauma registry.
METHODS: A total of 129,193 severely injured patients admitted primarily to one of 675 German hospitals and documented in the TraumaRegister DGU® were considered for this analysis. The analysis covered a 5 years time period (2013-2017). Hospitals were grouped by their average number of annually treated severe trauma patients into five categories ranging from 'less than 10 patients' to '100 or more'. The following process times were compared: pre-hospital time; time from admission to diagnostic procedures (sonography, X-ray, computed tomography), time from admission to selected emergency interventions and time in the emergency room.
RESULTS: Seventy-eight high volume hospitals treated 45% of all patients, while 30% of hospitals treated less than ten cases per year. Injury severity and mortality increased with volume per year. Whole-body computed tomography (WB-CT) was used less frequently in small hospitals (53%) as compared to the large ones (83%). The average time to WB-CT fell from 28 min. in small hospitals to 19 min. in high volume hospitals. There was a linear trend to shorter performance times for all diagnostic procedures (sonography, X-ray, WB-CT) when the annual volume increased. A similar trend was observed for time to blood transfusion (58 min versus 44 min). The median time in the emergency room fell from 74 min to 53 min, but there was no clear trend for the time to the first emergency surgery. Due to longer travel times, prehospital time was about 10 min higher in patients admitted to high volume hospitals compared to patients admitted to smaller local hospitals.
CONCLUSION: Process times in the emergency room decreased consistently with an increase of patient volume per year. This decrease, however, was associated with a longer prehospital time.
© 2022. The Author(s).

Entities:  

Keywords:  Emergency room; Injuries; Patient volume; Registry; Trauma

Year:  2022        PMID: 35546201     DOI: 10.1007/s00068-022-01987-y

Source DB:  PubMed          Journal:  Eur J Trauma Emerg Surg        ISSN: 1863-9933            Impact factor:   3.693


  16 in total

1.  Update of the trauma risk adjustment model of the TraumaRegister DGU™: the Revised Injury Severity Classification, version II.

Authors:  Rolf Lefering; Stefan Huber-Wagner; Ulrike Nienaber; Marc Maegele; Bertil Bouillon
Journal:  Crit Care       Date:  2014-09-05       Impact factor: 9.097

2.  Implementation of a nationwide trauma network for the care of severely injured patients.

Authors:  Steffen Ruchholtz; Rolf Lefering; Ulrike Lewan; Florian Debus; Carsten Mand; Hartmut Siebert; Christian A Kühne
Journal:  J Trauma Acute Care Surg       Date:  2014-06       Impact factor: 3.313

3.  Hospital volume-outcome relationship in severe traumatic brain injury: stratified analysis by level of trauma center.

Authors:  Sung Huang Laurent Tsai; Anshit Goyal; Mohammed Ali Alvi; Panagiotis Kerezoudis; Yagiz Ugur Yolcu; Waseem Wahood; Elizabeth B Habermann; Terry C Burns; Mohamad Bydon
Journal:  J Neurosurg       Date:  2020-03-13       Impact factor: 5.115

4.  The Impact of Trauma Center Patient Volume on Observed/Expected Mortality: Does Size Matter?

Authors:  Adel Elkbuli; Alyssa Eily; Shaikh Hai; Mark McKenney; Orlando Morejon
Journal:  Am Surg       Date:  2018-07-01       Impact factor: 0.688

5.  "Delay to operating room" fails to identify adverse outcomes at a Level I trauma center.

Authors:  Paul R Lewis; Jayraan Badiee; Michael J Sise; Richard Y Calvo; Jason B Brill; James D Wallace; Steven R Shackford; Casey E Dunne; Vishal Bansal; C Beth Sise
Journal:  J Trauma Acute Care Surg       Date:  2017-02       Impact factor: 3.313

6.  Impact of Volume Change Over Time on Trauma Mortality in the United States.

Authors:  Joshua B Brown; Matthew R Rosengart; Jeremy M Kahn; Deepika Mohan; Brian S Zuckerbraun; Timothy R Billiar; Andrew B Peitzman; Derek C Angus; Jason L Sperry
Journal:  Ann Surg       Date:  2017-07       Impact factor: 12.969

7.  The epidemiology of emergency department thoracotomy in a statewide trauma system: Does center volume matter?

Authors:  Ryan P Dumas; Mark J Seamon; Brian P Smith; Wei Yang; Jeremy W Cannon; C William Schwab; Patrick M Reilly; Daniel N Holena
Journal:  J Trauma Acute Care Surg       Date:  2018-08       Impact factor: 3.313

8.  Trauma centre patient volume and inpatient mortality risk reconsidered.

Authors:  J Forrest Calland; George J Stukenborg
Journal:  Injury       Date:  2015-11-23       Impact factor: 2.586

9.  Is there a relationship between trauma center volume and mortality?

Authors:  Jason A London; Felix D Battistella
Journal:  J Trauma       Date:  2003-01

10.  The relation between trauma center outcome and volume in the National Trauma Databank.

Authors:  Laurent G Glance; Turner M Osler; Andrew Dick; Dana Mukamel
Journal:  J Trauma       Date:  2004-03
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