Literature DB >> 26362190

[Triage in emergency departments. Comparative evaluation of 4 international triage systems].

J Krey1.   

Abstract

BACKGROUND: Facing increasing pressure emergency departments have to replace the previously unstructured approach used to document incoming patients by a standardized quick method, which allows easy documentation of the results.
OBJECTIVES: The article describes the initial situation in international comparison and compares the available systems. The aim is to answer the following questions: what aspects should be taken into consideration when choosing a system, and what impact does this have on the selection of a system.
MATERIALS AND METHODS: Starting with the reflection of preliminary thoughts from Hamburg in 2000 regarding system decision-making, these considerations will be supplemented by the latest developments. The legal and factual backgrounds are represented in international comparison and from this the consequences for Germany are derived. Included are the most common five-tier systems Australasian Triage Scale, Canadian Triage and Acuity Scale, Emergency Severity Index and the Manchester Triage System. The systems are summarized and their strengths and weaknesses highlighted. RESULTS AND
CONCLUSIONS: In the current situation and circumstances in German emergency departments best usability and maximum safety seems to be promised by the Manchester Triage System. Legal and structural requirements are taken into consideration by this system. Of particular advantage of the system is the international and national networking, which enables the integration of international developments and experience.

Entities:  

Keywords:  Algorithm; Decision aids; Emergency medical services; International perspectives; Legal aspects

Mesh:

Year:  2015        PMID: 26362190     DOI: 10.1007/s00063-015-0069-0

Source DB:  PubMed          Journal:  Med Klin Intensivmed Notfmed        ISSN: 2193-6218            Impact factor:   0.840


  4 in total

1.  The case for a universal, valid, reliable 5-tier triage acuity scale for US emergency departments.

Authors:  P G Zimmermann
Journal:  J Emerg Nurs       Date:  2001-06       Impact factor: 1.836

2.  The nurse in triage.

Authors:  P B Baldridge
Journal:  Nurs Outlook       Date:  1966-11       Impact factor: 3.250

3.  Yale studies in ambulatory medical care. V. Determinants of use of hospital emergency services.

Authors:  E R Weinerman; R S Ratner; A Robbins; M A Lavenhar
Journal:  Am J Public Health Nations Health       Date:  1966-07

4.  The German Version of the Manchester Triage System and its quality criteria--first assessment of validity and reliability.

Authors:  Ingo Gräff; Bernd Goldschmidt; Procula Glien; Manuela Bogdanow; Rolf Fimmers; Andreas Hoeft; Se-Chan Kim; Daniel Grigutsch
Journal:  PLoS One       Date:  2014-02-24       Impact factor: 3.240

  4 in total
  7 in total

1.  [Standardized collection of presenting complaints in the emergency room : Integration of coded presenting complaints into the electronic medical record system of an emergency department and their value for health care research].

Authors:  F Greiner; D Brammen; M Kulla; F Walcher; B Erdmann
Journal:  Med Klin Intensivmed Notfmed       Date:  2017-04-26       Impact factor: 0.840

2.  Triage system should be compatible with culture of care in emergency department.

Authors:  A Mirhaghi
Journal:  Med Klin Intensivmed Notfmed       Date:  2016-03       Impact factor: 0.840

3.  Rheumatic?-A Digital Diagnostic Decision Support Tool for Individuals Suspecting Rheumatic Diseases: A Multicenter Pilot Validation Study.

Authors:  Rachel Knevel; Johannes Knitza; Aase Hensvold; Alexandra Circiumaru; Tor Bruce; Sebastian Evans; Tjardo Maarseveen; Marc Maurits; Liesbeth Beaart-van de Voorde; David Simon; Arnd Kleyer; Martina Johannesson; Georg Schett; Tom Huizinga; Sofia Svanteson; Alexandra Lindfors; Lars Klareskog; Anca Catrina
Journal:  Front Med (Lausanne)       Date:  2022-04-25

4.  [Questionnaire for the utilization of the Emergency Department : Implications for the patient survey].

Authors:  J Frick; M Möckel; M Schmiedhofer; J Searle; B Erdmann; M Erhart; A Slagman
Journal:  Med Klin Intensivmed Notfmed       Date:  2017-09-12       Impact factor: 0.840

5.  Role of point-of-care ultrasound study in early disposition of patients with undifferentiated acute dyspnea in emergency department: a multi-center prospective study.

Authors:  Mohammad Amin Zare; Alireza Bahmani; Marzieh Fathi; Marieh Arefi; Armaghan Hossein Sarbazi; Mahrokh Teimoori
Journal:  J Ultrasound       Date:  2021-05-29

6.  Prognostic value of Modified Early Warning Score generated in a Chinese emergency department: a prospective cohort study.

Authors:  Xiaohua Xie; Wenlong Huang; Qiongling Liu; Wei Tan; Lu Pan; Lei Wang; Jian Zhang; Yunyun Wang; Yingchun Zeng
Journal:  BMJ Open       Date:  2018-12-14       Impact factor: 2.692

7.  Machine learning-based improvement of an online rheumatology referral and triage system.

Authors:  Johannes Knitza; Lena Janousek; Felix Kluge; Cay Benedikt von der Decken; Stefan Kleinert; Wolfgang Vorbrüggen; Arnd Kleyer; David Simon; Axel J Hueber; Felix Muehlensiepen; Nicolas Vuillerme; Georg Schett; Bjoern M Eskofier; Martin Welcker; Peter Bartz-Bazzanella
Journal:  Front Med (Lausanne)       Date:  2022-07-22
  7 in total

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