scholarly journals A three-point triage system to enhance hospital preparedness during the COVID-19 pandemic

2021 ◽  
Vol 6 (1) ◽  
pp. 106
Author(s):  
Varun Suresh
Author(s):  
Dirk Pabst ◽  
Jonas Schibensky ◽  
David Fistera ◽  
Joachim Riße ◽  
Clemens Kill ◽  
...  

Zusammenfassung Hintergrund Zur frühzeitigen Entscheidung in zukünftigen „Integrierten Notfallzentren“, ob eine ambulante oder innerklinische Versorgung indiziert ist, wäre es hilfreich, ein System zu haben, mit dem die Identifizierung von Patienten mit ambulanter Behandlungsindikation möglich ist. In dieser Studie untersuchten wir, ob das Manchester Triage System (MTS) dafür geeignet ist, Patienten zu erkennen, die sicher der ambulanten medizinischen Versorgung zugeteilt werden können. Methode Notaufnahmepatienten der „blauen“ MTS-Dringlichkeitsstufe wurden auf den Endpunkt „stationäre Aufnahme“ untersucht und mit der nächsthöheren MTS-Kategorie „grün“ verglichen. In einem zweiten Schritt wurde die „blaue“ Dringlichkeitsstufe auf die häufigsten gemeinsamen Kriterien untersucht, die zur stationären Aufnahme führten. Ergebnisse Nach Ausschluss von Patienten, die durch den Rettungsdienst oder nach vorherigem Arztbesuch vorstellig wurden, war die Rate der stationären Aufnahmen in der blauen Dringlichkeitsstufe signifikant niedriger als in der grünen Kategorie (10,8 % vs. 29,0 %). Die Rate konnte durch die Etablierung einer Untergruppe mit den zusätzlichen Ausschlusskriterien chronische Erkrankung und Wiedervorstellung nach vorheriger stationärer Behandlung auf 0,9 % gesenkt werden. (CEReCo-blue-Gruppe: Chronic Disorder (C), Emergency Medical Service (E), Readmission (R), Prior Medical Consultation (Co)). Schlussfolgerung Die blaue MTS-Dringlichkeitsstufe scheint zur Selektion von Patienten mit ambulanter Behandlungsindikation nicht geeignet zu sein. Wir schlagen die Einführung einer Untergruppe, der sog. CEReCo-blue-Gruppe vor, die für die Selektion dieser Patientengruppe hilfreich sein könnte.


Sensors ◽  
2021 ◽  
Vol 21 (8) ◽  
pp. 2845
Author(s):  
Fahd Alhaidari ◽  
Abdullah Almuhaideb ◽  
Shikah Alsunaidi ◽  
Nehad Ibrahim ◽  
Nida Aslam ◽  
...  

With population growth and aging, the emergence of new diseases and immunodeficiency, the demand for emergency departments (EDs) increases, making overcrowding in these departments a global problem. Due to the disease severity and transmission rate of COVID-19, it is necessary to provide an accurate and automated triage system to classify and isolate the suspected cases. Different triage methods for COVID-19 patients have been proposed as disease symptoms vary by country. Still, several problems with triage systems remain unresolved, most notably overcrowding in EDs, lengthy waiting times and difficulty adjusting static triage systems when the nature and symptoms of a disease changes. In this paper, we conduct a comprehensive review of general ED triage systems as well as COVID-19 triage systems. We identified important parameters that we recommend considering when designing an e-Triage (electronic triage) system for EDs, namely waiting time, simplicity, reliability, validity, scalability, and adaptability. Moreover, the study proposes a scoring-based e-Triage system for COVID-19 along with several recommended solutions to enhance the overall outcome of e-Triage systems during the outbreak. The recommended solutions aim to reduce overcrowding and overheads in EDs by remotely assessing patients’ conditions and identifying their severity levels.


2020 ◽  
Vol 41 (S1) ◽  
pp. s253-s253
Author(s):  
Silvia Fonseca ◽  
Ivana Lucca ◽  
Franceliana Sgobi ◽  
Andre Fioravante ◽  
Alexandre Celia ◽  
...  

Background: Measles was considered eradicated in Brazil in 2016, but the virus reemerged in the country in 2018, causing large outbreaks. Ribeirao Preto has been measles free since 1997, but the outbreak in Sao Paulo City, 180 miles away in June 2019, alerted us to the possibility of measles patients coming to our emergency room (ER). The preparedness challenge was considerable: most healthcare workers (HCWs) had never seen a measles case before, and confirmatory measles laboratory tests were not readily available to us. Objective: To describe the hospital preparedness for the coming community measles outbreak. Methods: Hospital So Francisco is a 170-bed, general, tertiary-care hospital with 10,000 ER visits monthly. Measles preparedness consisted of measles training classes for HCWs, and flow charts with pictures and measles information in every ER office, also sent to HCW cell phones. We also designated areas for suspected measles patients for prompt medical evaluation; and we implemented mass measles vaccination for all hospital HCWs regardless of vaccination status, excluding pregnant or immunosuppressed HCWs. We considered a measles suspected case any person with fever, 1 of 3 symptoms (cough, coryza or conjunctivitis), and a generalized maculopapular rash with head-to-toe distribution. All contacts for suspected cases were recommended to obtain a measles vaccination. Detection of viral RNA in a biological sample and or a positive IgM result in serum was used to confirm a clinically suspected case. The study period spanned July 2019 to September 2019. Results: Measles training occurred for 3 weeks in July–August and reached 200 HCWs. The measles vaccination was offered July 23 to August 15; 1,362 HCWs were already vaccinated (93% of target population). In total, 35 clinical suspected measles cases were seen in the ER, and 3 of these were HCWs who had received the measles vaccine in their incubation period. Also, 3 patients were admitted to the hospital and 1 to the intensive care unit; there were no deaths. Overall, 8 patients had laboratory-confirmed measles, and 1,343 community contacts of these patients were vaccinated. We did not detect measles transmission to inpatients or to other HCWs after mass vaccination began. In the same period, Sao Paulo state had >7,000 laboratory-confirmed measles cases and 12 deaths. Conclusions: Community measles outbreaks are a challenge for the hospital infection control team, and they can potentially disrupt the daily activities in the hospital. We were able to adequately prepare for the largest state outbreak in 20 years without secondary cases or deaths.Funding: NoneDisclosures: None


BDJ Team ◽  
2021 ◽  
Vol 8 (1) ◽  
pp. 28-33
Author(s):  
Angela Cowell ◽  
Louise Goodwin ◽  
Katherine Hare ◽  
Colin Campbell

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

2016 ◽  
Vol 24 (12) ◽  
pp. 5041-5048 ◽  
Author(s):  
Lorraine Warrington ◽  
Patricia Holch ◽  
Lucille Kenyon ◽  
Ceri Hector ◽  
Krystina Kozlowska ◽  
...  

2006 ◽  
Vol 23 (12) ◽  
pp. 906-910 ◽  
Author(s):  
J Roukema ◽  
E W Steyerberg ◽  
A van Meurs ◽  
M Ruige ◽  
J van der Lei ◽  
...  

2015 ◽  
Vol 4 (5) ◽  
pp. 47 ◽  
Author(s):  
Jean Claude Byiringiro ◽  
Rex Wong ◽  
Caroline Davis ◽  
Jeffery Williams ◽  
Joseph Becker ◽  
...  

Few case studies exist related to hospital accident and emergency department (A&E) quality improvement efforts in lowerresourced settings. We sought to report the impact of quality improvement principles applied to A&E overcrowding and flow in the largest referral and teaching hospital in Rwanda. A pre- and post-intervention study was conducted. A linked set of strategies included reallocating room space based on patient/visitor demand and flow, redirecting traffic, establishing a patient triage system and installing white boards to facilitate communication. Two months post-implementation, the average number of patients boarding in the A&E hallways significantly decreased from 28 (pre-intervention) to zero (post-intervention), p < .001. Foot traffic per dayshift hour significantly decreased from 221 people to 160 people (28%, p < .001), and non-A&E related foot traffic decreased from 81.4% to 36.3% (45% decrease, p < .001). One hundred percent of the A&E patients have been formally triaged since the implementation of the newly established triage system. Our project used quality improvement principles to reduce the number of patients boarding in the hallways and to decrease unnecessary foot traffic in the A&E department with little investment from the hospital. Key success factors included a collaborative multidisciplinary project team, strong internal champions, data-driven analysis, evidence-based interventions, senior leadership support, and rapid application of initial implementation learnings. Results to date show the application of quality improvement principles can help hospitals in resource-limited settings improve quality of care at relatively low cost.


2002 ◽  
Vol 28 (5) ◽  
pp. 395-400 ◽  
Author(s):  
Debbie A. Travers ◽  
Anna E. Waller ◽  
J.Michael Bowling ◽  
Deborah Flowers ◽  
Judith Tintinalli

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