A Retrospective Comparison of Caregiver Practices and Patient Outcomes before and after the Introduction of an Inpatient Medical Emergency Team.

2009 ◽  
Author(s):  
N Spitale ◽  
C Ainsworth ◽  
H Vasan ◽  
S Miller ◽  
S Nelson ◽  
...  
Keyword(s):  
Patient Outcomes ◽  
Medical Emergency Team ◽  
Medical Emergency ◽  
Emergency Team ◽  
Retrospective Comparison ◽  
Before And After

scholarly journals The association between abnormal vital sign groups and undesirable patient outcomes

2018 ◽  
Vol 25 (3) ◽  
pp. 137-145
Author(s):  
Marina Lee ◽  
David McD Taylor ◽  
Antony Ugoni
Keyword(s):  
Emergency Department ◽  
Confidence Interval ◽  
Patient Outcomes ◽  
Vital Sign ◽  
Odds Ratio ◽  
Medical Emergency Team ◽  
Vital Signs ◽  
Medical Emergency ◽  
Emergency Team ◽  
Abnormal Vital Sign

Introduction: To determine the association between both abnormal individual vital signs and abnormal vital sign groups in the emergency department, and undesirable patient outcomes: hospital admission, medical emergency team calls and death. Method: We undertook a prospective cohort study in a tertiary referral emergency department (February–May 2015). Vital signs were collected prospectively in the emergency department and undesirable outcomes from the medical records. The primary outcomes were undesirable outcomes for individual vital signs (multivariate logistic regression) and vital sign groups (univariate analyses). Results: Data from 1438 patients were analysed. Admission was associated with tachycardia, tachypnoea, fever, ≥1 abnormal vital sign on admission to the emergency department, ≥1 abnormal vital sign at any time in the emergency department, a persistently abnormal vital sign, and vital signs consistent with both sepsis (tachycardia/hypotension/abnormal temperature) and pneumonia (tachypnoea/fever) (p < 0.05). Medical emergency team calls were associated with tachycardia, tachypnoea, ≥1 abnormal vital sign on admission (odds ratio: 2.3, 95% confidence interval: 1.4–3.8), ≥2 abnormal vital signs at any time (odds ratio: 2.4, 95% confidence interval: 1.2–4.7), and a persistently abnormal vital sign (odds ratio: 2.7, 95% confidence interval: 1.6–4.6). Death was associated with Glasgow Coma Score ≤13 (odds ratio: 6.3, 95% confidence interval: 2.5–16.0), ≥1 abnormal vital sign on admission (odds ratio: 2.6, 95% confidence interval: 1.2–5.6), ≥2 abnormal vital signs at any time (odds ratio: 6.4, 95% confidence interval: 1.4–29.5), a persistently abnormal vital sign (odds ratio: 4.3, 95% confidence interval: 2.0–9.0), and vital signs consistent with pneumonia (odds ratio: 5.3, 95% confidence interval: 1.9–14.8). Conclusion: Abnormal vital sign groups are generally superior to individual vital signs in predicting undesirable outcomes. They could inform best practice management, emergency department disposition, and communication with the patient and family.

A prospective before‐and‐after trial of a medical emergency team

2003 ◽  
Vol 179 (6) ◽  
pp. 283-287 ◽  
Author(s):  
Rinaldo Bellomo ◽  
Donna Goldsmith ◽  
Shigehiko Uchino ◽  
Jonathan Buckmaster ◽  
Graeme K Hart ◽  
...  
Keyword(s):  
Medical Emergency Team ◽  
Medical Emergency ◽  
Emergency Team ◽  
Before And After

scholarly journals Impact of hospitalization duration before medical emergency team activation: A retrospective cohort study

PLoS ONE ◽  
2021 ◽  
Vol 16 (2) ◽  
pp. e0247066
Author(s):  
Jinmi Lee ◽  
Yujung Shin ◽  
Eunjoo Choi ◽  
Sunhui Choi ◽  
Jeongsuk Son ◽  
...  
Keyword(s):  
Patient Outcomes ◽  
Medical Center ◽  
Medical Emergency Team ◽  
Patient Characteristics ◽  
Medical Emergency ◽  
Emergency Team ◽  
Duration Of Hospitalization ◽  
Intensive Care Unit Transfer ◽  
General Wards ◽  
The Relationship

Background The rapid response system has been implemented in many hospitals worldwide and, reportedly, the timing of medical emergency team (MET) attendance in relation to the duration of hospitalization is associated with the mortality of MET patients. We evaluated the relationship between duration of hospitalization before MET activation and patient mortality. We compared cases of MET activation for early, intermediate, and late deterioration to patient characteristics, activation characteristics, and patient outcomes. We also aimed to determine the relationship, after adjusting for confounders, between the duration of hospitalization before MET activation and patient mortality. Materials and methods We retrospectively evaluated patients who triggered MET activation in general wards from March 2009 to February 2015 at the Asan Medical Center in Seoul. Patients were categorized as those with early deterioration (less than 2 days after admission), intermediate deterioration (2–7 days after admission), and late deterioration (more than 7 days after admission) and compared them to patient characteristics, activation characteristics, and patient outcomes. Results Overall, 7114 patients were included. Of these, 1793 (25.2%) showed early deterioration, 2113 (29.7%) showed intermediate deterioration, and 3208 (45.1%) showed late deterioration. Etiologies of MET activation were similar among these groups. The clinical outcomes significantly differed among the groups (intensive care unit transfer: 34.1%, 35.6%, and 40.4%; p < 0.001 and mortality: 26.3%, 31.5%, and 41.2%; p < 0.001 for early, intermediate, and late deterioration, respectively). Compared with early deterioration and adjusted for confounders, the odds ratio of mortality for late deterioration was 1.68 (1.46–1.93). Conclusions Nearly 50% of the acute clinically-deteriorating patients who activated the MET had been hospitalized for more than 7 days. Furthermore, they presented with higher rates of mortality and ICU transfer than patients admitted for less than 7 days before MET activation and had mortality as an independent risk factor.

Outcomes following changing from a two-tiered to a three-tiered hospital rapid response system

2019 ◽  
Vol 43 (2) ◽  
pp. 178
Author(s):  
The Concord Medical Emergency Team Study Investigators
Keyword(s):  
Cardiac Arrest ◽  
Hospital Mortality ◽  
Patient Outcomes ◽  
Medical Emergency Team ◽  
Rapid Response ◽  
Medical Emergency ◽  
Rapid Response System ◽  
Structured Interviews ◽  
Emergency Team ◽  
Response System

Objectives The aim of the present study was to determine whether changing a hospital rapid response system (RRS) from a two-tiered to a three-tiered model can reduce disruption to normal hospital routines while maintaining the same overall patient outcomes. Methods Staff at an Australian teaching hospital attending medical emergency team and cardiac arrest (MET/CA) calls were interviewed after the RRS was changed from a two-tiered to three-tiered model, and the results were compared with a study using the same methods conducted before the change. The main outcome measures were changes in: (1) the incident rate resulting from staff leaving normal duties to attend MET/CA calls; (2) the cardiac arrest rate, (3) unplanned intensive care unit (ICU) admission rates; and (4) hospital mortality. Results We completed 1337 structured interviews (overall response rate 65.2%). The rate of incidents occurring as a result of staff leaving normal duties to attend MET/CA calls fell from 213.7 to 161.3 incidents per 1000 MET/CA call participant attendances (P&lt;0.001), but the rate of cardiac arrest and unplanned ICU admissions did not change significantly. Hospital mortality was confounded by the opening of a new palliative care ward. Conclusion A three-tiered RRS may reduce disruption to normal hospital routines while maintaining the same overall patient outcomes. What is known about the topic? RRS calls result in significant disruption to normal hospital routines because staff can be called away from normal duties to attend. The best staffing model for an RRS is currently unknown. What does this paper add? The present study demonstrates, for the first time, that changing a hospital RRS from a two-tiered to a three-tiered model can reduce the rate of incidents reported by staff caused by leaving normal duties to attend RRS calls while maintaining the same overall patient outcomes. What are the implications for practitioners? Hospitals could potentially reduce disruption to normal hospital routines, without compromising patient care, by changing to a three-tiered RRS.

Early impact of medical emergency team implementation in a country with limited medical resources: A before-and-after study

2011 ◽  
Vol 26 (4) ◽  
pp. 373-378 ◽  
Author(s):  
So Yeon Lim ◽  
So Young Park ◽  
Hye Kyeong Park ◽  
Mikyeong Kim ◽  
Hye Yun Park ◽  
...  
Keyword(s):  
Medical Emergency Team ◽  
Medical Emergency ◽  
Medical Resources ◽  
Emergency Team ◽  
Before And After ◽  
Before And After Study ◽  
Team Implementation

Comparison of policies for recognising and responding to clinical deterioration across five Victorian health services

2018 ◽  
Vol 42 (4) ◽  
pp. 412 ◽  
Author(s):  
Julie Considine ◽  
Anastasia F. Hutchison ◽  
Helen Rawson ◽  
Alison M. Hutchinson ◽  
Tracey Bucknall ◽  
...  
Keyword(s):  
Patient Safety ◽  
Health Services ◽  
Medical Emergency Team ◽  
National Standards ◽  
Clinical Deterioration ◽  
Medical Emergency ◽  
Emergency Team ◽  
Subacute Care ◽  
Guidance Documents ◽  
Activation Criteria

Objectives The aim of the present study was to describe and compare organisational guidance documents related to recognising and responding to clinical deterioration across five health services in Victoria, Australia. Methods Guidance documents were obtained from five health services, comprising 13 acute care hospitals, eight subacute care hospitals and approximately 5500 beds. Analysis was guided by a specific policy analysis framework and a priori themes. Results In all, 22 guidance documents and five graphic observation and response charts were reviewed. Variation was observed in terminology, content and recommendations between the health services. Most health services’ definitions of physiological observations fulfilled national standards in terms of minimum parameters and frequency of assessment. All health services had three-tier rapid response systems (RRS) in place at both acute and subacute care sites, consisting of activation criteria and an expected response. RRS activation criteria varied between sites, with all sites requiring modifications to RRS activation criteria to be made by medical staff. All sites had processes for patient and family escalation of care. Conclusions Current guidance documents related to the frequency of observations and escalation of care omit the vital role of nurses in these processes. Inconsistencies between health services may lead to confusion in a mobile workforce and may reduce system dependability. What is known about the topic? Recognising and responding to clinical deterioration is a major patient safety priority. To comply with national standards, health services must have systems in place for recognising and responding to clinical deterioration. What does this paper add? There is some variability in terminology, definitions and specifications of physiological observations and medical emergency team (MET) activation criteria between health services. Although nurses are largely responsible for physiological observations and escalation of care, they have little authority to direct frequency of observations and triggers for care escalation or tailor assessment to individual patient needs. Failure to identify nurses’ role in policy is concerning and contrary to the evidence regarding nurses and MET activations in practice. What are the implications for practitioners? Inconsistencies in recommendations regarding physiological observations and escalation of care criteria may create patient safety issues when students and staff work across organisations or move from one organisation to another. The validity of other parameters, such as appearance, pain, skin colour and cognition, warrant further consideration as early indicators of deterioration that may be used by nurses to identify clinical deterioration earlier. A better understanding of the relationship between the sensitivity, specificity and frequency of monitoring of particular physiological observations and patient outcomes is needed to improve the predictive validity for identification of clinical deterioration.

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