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Optimizing triage and hospitalization in adult general medical emergency patients: the triage project

Overview of attention for article published in BMC Emergency Medicine, July 2013
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (88th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

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16 X users

Citations

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49 Dimensions

Readers on

mendeley
218 Mendeley
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1 CiteULike
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Title
Optimizing triage and hospitalization in adult general medical emergency patients: the triage project
Published in
BMC Emergency Medicine, July 2013
DOI 10.1186/1471-227x-13-12
Pubmed ID
Authors

Philipp Schuetz, Pierre Hausfater, Devendra Amin, Sebastian Haubitz, Lukas Fässler, Eva Grolimund, Alexander Kutz, Ursula Schild, Zeljka Caldara, Katharina Regez, Andriy Zhydkov, Timo Kahles, Krassen Nedeltchev, Stefanie von Felten, Sabina De Geest, Antoinette Conca, Petra Schäfer-Keller, Andreas Huber, Mario Bargetzi, Ulrich Buergi, Gabrielle Sauvin, Pasqualina Perrig-Chiello, Barbara Reutlinger, Beat Mueller

Abstract

Patients presenting to the emergency department (ED) currently face inacceptable delays in initial treatment, and long, costly hospital stays due to suboptimal initial triage and site-of-care decisions. Accurate ED triage should focus not only on initial treatment priority, but also on prediction of medical risk and nursing needs to improve site-of-care decisions and to simplify early discharge management. Different triage scores have been proposed, such as the Manchester triage system (MTS). Yet, these scores focus only on treatment priority, have suboptimal performance and lack validation in the Swiss health care system. Because the MTS will be introduced into clinical routine at the Kantonsspital Aarau, we propose a large prospective cohort study to optimize initial patient triage. Specifically, the aim of this trial is to derive a three-part triage algorithm to better predict (a) treatment priority; (b) medical risk and thus need for in-hospital treatment; (c) post-acute care needs of patients at the most proximal time point of ED admission.

X Demographics

X Demographics

The data shown below were collected from the profiles of 16 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 218 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Switzerland 1 <1%
Chile 1 <1%
United Kingdom 1 <1%
Spain 1 <1%
United States 1 <1%
Unknown 213 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 37 17%
Researcher 35 16%
Student > Bachelor 21 10%
Student > Ph. D. Student 19 9%
Student > Doctoral Student 12 6%
Other 39 18%
Unknown 55 25%
Readers by discipline Count As %
Medicine and Dentistry 84 39%
Nursing and Health Professions 35 16%
Social Sciences 7 3%
Computer Science 5 2%
Agricultural and Biological Sciences 4 2%
Other 22 10%
Unknown 61 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 23 January 2019.
All research outputs
#2,748,898
of 23,929,753 outputs
Outputs from BMC Emergency Medicine
#114
of 792 outputs
Outputs of similar age
#23,371
of 197,306 outputs
Outputs of similar age from BMC Emergency Medicine
#1
of 9 outputs
Altmetric has tracked 23,929,753 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 792 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.1. This one has done well, scoring higher than 85% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 197,306 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 88% of its contemporaries.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them