scholarly journals The Medical Emergency Team

1995 ◽  
Vol 23 (2) ◽  
pp. 183-186 ◽  
Author(s):  
A. Lee ◽  
G. Bishop ◽  
K. M. Hillman ◽  
K. Daffurn

The concept of a Medical Emergency Team was developed in order to rapidly identify and manage seriously ill patients at risk of cardiopulmonary arrest and other high-risk conditions. The aim of this study was to describe the utilization and outcome of Medical Emergency Team interventions over a one-year period at a teaching hospital in South Western Sydney. Data was collected prospectively using a standardized form. Cardiopulmonary resuscitation occurred in 148/522 (28%) calls. Alerting the team using the specific condition criteria occurred in 253/522 (48%) calls and on physiological/pathological abnormality criteria in 121/522 (23%) calls. Survival rate to hospital discharge following cardiopulmonary arrest was low (29%), compared with other medical emergencies (76%).

2020 ◽  
Author(s):  
Kangqi Ng ◽  
Daryl Jones ◽  
Augustine Tee

Abstract Background Medical Emergency Teams (MET) have been implemented in many hospitals to improve patient safety. Few studies examined how residents perceive the MET as part of training. Objective We aimed to evaluate residents’ perceptions of how MET rotation affected training in the core competencies specified by Accreditation Council for Graduate Medical Education (ACGME). Methods We conducted an online survey of 106 residents. They are either junior residents who are in training in internal medicine, non-trainee registrars or senior residents who are training in respiratory or advanced internal medicine. Results We achieved a response rate of 62.3%. More than 90% of residents agreed or strongly agreed that MET contributed positively to their training, made resuscitation of patients safer and more efficient, and disagreed or strongly disagreed that MET made resuscitation of patients more time-consuming or cumbersome. More than 80% agreed or strongly agreed that the MET improved their clinical judgement in medical emergencies, helped achieve their learning goals and exposed them to a wide variety of cases. At least two-thirds thought that the MET posting improved their procedural skills and communication in end of life care discussions. In contrast, 26.6% of respondents agreed or strongly agreed that the MET decreased autonomy of the primary team. One-third felt they needed formal training for the MET posting. Conclusion Our findings suggest that residents perceive participation in MET was beneficial in training and improved patient care. We also found that formal training and consultant oversight may be needed for junior team leaders of MET.


Circulation ◽  
2018 ◽  
Vol 138 (Suppl_2) ◽  
Author(s):  
Karen M Graves ◽  
Lee Anne Siegmund

Introduction: An average of 1500 medical emergencies are called to the operators each month for the main campus Cleveland Clinic. Acronyms can help the employee to remember necessary information to quickly and accurately activate the right medical emergency team in a short time. We developed the acronym LEAN (L-Location, E-Event Type; code or rapid response, A-Adult or Child, N-Call back number). We reduced the length of the call which led to the prompt activation of the medical emergency team. Hypothesis: We hypothesized that this quality improvement initiative, using the LEAN acronym would: 1. Reduce length of call time to the operator and 2. Lead to increased event survival of event for patients who have had a life-threatening medical emergency. Methods: The LEAN acronym was implemented in 2016 by sharing this acronym at staff meetings, and daily huddles. We developed an operator scorecard which tracked the average call time to the 111 (code) and 122 (rapid response) operator lines before and after LEAN implementation. We used our AHA Get With The Guidelines-Resuscitation® data to determine cardiopulmonary arrest (CPA) event survival. Results: Since August of 2016 we have reduced our 122 rapid response calls by 30 seconds and our 111 code calls by 12 seconds. CPA survival rates were 73% (437 of 599) in 2015 and 78.9% (548 of 703) in 2017, for an 8.1% increase ( Figure 1 ). While there is not a statistically significant ( p = 0.511) difference between time periods when we look at percentage of lives saved, the number of lives saved increased. This is a clinically important difference because more people survived. We plan to continue to disseminate LEAN and work to improve response time. Conclusion: Since we introduced LEAN there has been a reduction in the time to activation of our medical emergency teams and an 8% increase in our GWTG-R® Cardiopulmonary Arrest event survival. Lives were saved and LEAN may have played a role in this clinically important difference.


Resuscitation ◽  
2004 ◽  
Vol 61 (3) ◽  
pp. 257-263 ◽  
Author(s):  
Gary Kenward ◽  
Nicolas Castle ◽  
Timothy Hodgetts ◽  
Loua Shaikh

2018 ◽  
Vol 46 (1) ◽  
pp. 88-96 ◽  
Author(s):  
Y. H. Ng ◽  
D. V. Pilcher ◽  
M. Bailey ◽  
C. A. Bain ◽  
C. MacManus ◽  
...  

We aimed to develop a predictive model for intensive care unit (ICU)–discharged patients at risk of post-ICU deterioration. We performed a retrospective, single-centre cohort observational study by linking the hospital admission, patient pathology, ICU, and medical emergency team (MET) databases. All patients discharged from the Alfred Hospital ICU to wards between July 2012 and June 2014 were included. The primary outcome was a composite endpoint of any MET call, cardiac arrest call or ICU re-admission. Multivariable logistic regression analysis was used to identify predictors of outcome and develop a risk-stratification model. Four thousand, six hundred and thirty-two patients were included in the study. Of these, 878 (19%) patients had a MET call, 51 (1.1%) patients had cardiac arrest calls, 304 (6.5%) were re-admitted to ICU during the same hospital stay, and 964 (21%) had MET calls, cardiac arrest calls or ICU re-admission. A discriminatory predictive model was developed (area under the receiver operating characteristic curve 0.72 [95% confidence intervals {CI} 0.70 to 0.73]) which identified the following factors: increasing age (odds ratio [OR] 1.012 [95% CI 1.007 to 1.017] P <0.001), ICU admission with subarachnoid haemorrhage (OR 2.26 [95% CI 1.22 to 4.16] P=0.009), admission to ICU from a ward (OR 1.67 [95% CI 1.31 to 2.13] P <0.001), Acute Physiology and Chronic Health Evaluation (APACHE) III score without the age component (OR 1.005 [95% CI 1.001 to 1.010] P=0.025), tracheostomy on ICU discharge (OR 4.32 [95% CI 2.9 to 6.42] P <0.001) and discharge to cardiothoracic (OR 2.43 [95%CI 1.49 to 3.96] P <0.001) or oncology wards (OR 2.27 [95% CI 1.05 to 4.89] P=0.036). Over the two-year period, 361 patients were identified as having a greater than 50% chance of having post-ICU deterioration. Factors are identifiable to predict patients at risk of post-ICU deterioration. This knowledge could be used to guide patient follow-up after ICU discharge, optimise healthcare resources, and improve patient outcomes and service delivery.


Circulation ◽  
2019 ◽  
Vol 140 (Suppl_2) ◽  
Author(s):  
Elizabeth Masse ◽  
Joan S Roberts

Introduction: In free-standing pediatric hospitals, the Code Blue team may be activated for events in adults to provide triage, resuscitation, medical screening exams, EMTALA documentation and disposition decisions. However, activation of the Code Blue team can require significant time and critical care resources and may delay patient care if the activation is external to the building. Hypothesis: Development of a small triage team focused on specific adult triage algorithms will provide a safe, effective and efficient alternative to Code Blue team response. Methods: 407 bed tertiary pediatric hospital, within metropolitan area. Collaborative multi-disciplinary QI process to design and simulate the roles, workflow and documentation of the Medical Emergency Team (MET). Education and communication to hospital-wide staff on MET, as well as MET responders completion of Advanced Cardiac Life Support course. Collaboration with local EMS leadership to coordinate transfer of patient was also undertaken. Results: MET roles were developed and two configurations of the MET team were implemented July 2018: one inside the footprint of the building and anther outside the footprint of the building, including the hospital grounds. The teams consisted of a mid-level provider, charge nurse, two security officers and a shift administrator: inside team relied on ICU provider and charge nurse, while outside team led by Emergency Medicine provider and charge nurse. Each team had a backpack with supplies, and transport gurney. Since inception, 199 activations occurred, 191 inside and 8 outside the facility. The activations included 45 staff or volunteers, 84 adult visitors, 75 pediatric visitors. Outcome for the activations: 57 transported to the hospital ED, 47 transported to another facility, 21 refused treatment and 68 had resolution of concerns. EMTALA documentation was complete in 112/137 (82%). Conclusions: Pediatric hospitals have substantial adult populations, where medical emergencies that arise rely on Code Blue in medical emergencies for simplicity. Development of a response team for nonpatients allows specific training, triage, and processes to improve care and reduce drain on ICU resources.


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