Effectiveness of the Manchester Triage System on time to treatment in the emergency department

Author(s):  
Emilia Aparecida Cicolo ◽  
Fernanda Ayache Nishi ◽  
Heloísa Helena Ciqueto Peres ◽  
Diná de Almeida Lopes Monteiro da Cruz
Author(s):  
Emilia A. Cicolo ◽  
Fernanda Ayache Nishi ◽  
Heloísa H. Ciqueto Peres ◽  
Diná de Almeida Lopes Monteiro da Cruz

2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Steffie H. A. Brouns ◽  
Lisette Mignot-Evers ◽  
Floor Derkx ◽  
Suze L. Lambooij ◽  
Jeanne P. Dieleman ◽  
...  

2015 ◽  
Vol 15 (1) ◽  
Author(s):  
Luís Leite ◽  
Rui Baptista ◽  
Jorge Leitão ◽  
Joana Cochicho ◽  
Filipe Breda ◽  
...  

2016 ◽  
Vol 177 ◽  
pp. 232-237.e1 ◽  
Author(s):  
Joany M. Zachariasse ◽  
Jan Willem Kuiper ◽  
Matthijs de Hoog ◽  
Henriëtte A. Moll ◽  
Mirjam van Veen

BMJ Open ◽  
2019 ◽  
Vol 9 (5) ◽  
pp. e024896 ◽  
Author(s):  
Anna Slagman ◽  
Felix Greiner ◽  
Julia Searle ◽  
Linton Harriss ◽  
Fintan Thompson ◽  
...  

ObjectivesTo investigate the suitability of the German version of the Manchester Triage System (MTS) as a potential tool to redirect emergency department (ED) patients to general practitioner care. Such tools are currently being discussed in the context of reorganisation of emergency care in Germany.DesignProspective cohort study.SettingSingle centre University Hospital Emergency Department.ParticipantsAdult, non-surgical ED patients.ExposureA non-urgent triage category was defined as a green or blue triage category according to the German version of the MTS.Primary and secondary outcome measuresSurrogate parameters for short-term risk (admission rate, diagnoses, length of hospital stay, admission to the intensive care unit, in-hospital and 30-day mortality) and long-term risk (1-year mortality).ResultsA total of 1122 people presenting to the ED participated in the study. Of these, 31.9% (n=358) received a non-urgent triage category and 68.1% (n=764) were urgent. Compared with non-urgent ED presentations, those with an urgent triage category were older (median age 60 vs 56 years, p=0.001), were more likely to require hospital admission (47.8% vs 29.6%) and had higher in-hospital mortality (1.6% vs 0.8%). There was no significant difference observed between non-urgent and urgent triage categories for 30-day mortality (1.2% [n=4] vs 2.2% [n=15]; p=0.285) or for 1-year mortality (7.9% [n=26] vs 10.5% [n=72]; p=0.190). Urgency was not a significant predictor of 1-year mortality in univariate (HR=1.35; 95% CI 0.87 to 2.12; p=0.185) and multivariate regression analyses (HR=1.20; 95% CI 0.77 to 1.89; p=0.420).ConclusionsThe results of this study suggest the German MTS is unsuitable to safely identify patients for redirection to non-ED based GP care.Trial registration numberU1111-1119-7564; Post-results


2021 ◽  
Vol Publish Ahead of Print ◽  
Author(s):  
Nikolas Beck ◽  
Miriam Michel ◽  
Elisabeth Binder ◽  
Klaus Kapelari ◽  
Michael Maurer ◽  
...  

Author(s):  
António Abelha ◽  
Eliana Pereira ◽  
Andreia Brandão ◽  
Filipe Portela ◽  
Manuel Filipe Santos ◽  
...  

The main objectives in triage are to improve the quality of care and reduce the risks associated to the waiting time in emergency care. Thus, an efficient triage is a good way to avoid some future problems and how much quicker it is, more the patient can benefit. The most common triage system is the Manchester Triage System that is a reliable system focused in the emergency department of a hospital. However, its use is more suitable for more widespread medical emergencies and not for specialized cases, like Gynecological and Obstetrics emergencies. To overcome these limitations, an alternative pre-triage system, integrated into an intelligent decision support system, was developed in order to better characterize the patient and correctly defined her as urgent or not. This system allows the increase of patient's safety, especially women who need immediate care. This paper includes the workflow that describes the decision process in real time in the emergency department, when women are submitted to triage and identify points of evolution.


2011 ◽  
Vol 29 (5) ◽  
pp. 427.2-427 ◽  
Author(s):  
Fco Javier Martín-Sánchez ◽  
Cesareo Fernandez Alonso ◽  
Juan Gonzalez-Del Castillo ◽  
Juan J Gonzalez-Armengol

2017 ◽  
pp. 840-859
Author(s):  
António Abelha ◽  
Eliana Pereira ◽  
Andreia Brandão ◽  
Filipe Portela ◽  
Manuel Filipe Santos ◽  
...  

The main objectives in triage are to improve the quality of care and reduce the risks associated to the waiting time in emergency care. Thus, an efficient triage is a good way to avoid some future problems and how much quicker it is, more the patient can benefit. The most common triage system is the Manchester Triage System that is a reliable system focused in the emergency department of a hospital. However, its use is more suitable for more widespread medical emergencies and not for specialized cases, like Gynecological and Obstetrics emergencies. To overcome these limitations, an alternative pre-triage system, integrated into an intelligent decision support system, was developed in order to better characterize the patient and correctly defined her as urgent or not. This system allows the increase of patient's safety, especially women who need immediate care. This paper includes the workflow that describes the decision process in real time in the emergency department, when women are submitted to triage and identify points of evolution.


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