3 resultados para triage system
em Deakin Research Online - Australia
Resumo:
Objectives: To evaluate the uptake of an emergency department early warning system (ED EWS) for recognition of, and response to, clinical deterioration.
Design, setting and participants: A descriptive exploratory study conducted in an urban district hospital in Melbourne, Australia. Systematic sampling was used to identify every 10th patient for whom the ED EWS was activated from May 2009 to May 2011.
Main outcome measures: Patient characteristics, ED system data and ED EWS activation characteristics.
Results: ED EWS activation occurred in 1.5% of ED patients; 204 patients were included in this pilot study. The median age was 65.1 years (interquartile range [IQR], 47.8-77.5 years), 89.2% of patients were classified as triage category 2 or 3, and 82.4% of patients were seen by medical staff before ED EWS activation. Hypotension (27.7%) and tachycardia (23.7%) were the most common reasons for ED EWS activation. Median duration of clinical instability was 39 minutes (IQR, 5- 129 minutes). Nurses made 93.1% of ED EWS activations. Median time between documenting physiological abnormalities and ED EWS activation was 5 minutes (IQR, 0- 20). Most patients (57.8%) required hospital admission: 4.4% of patients required intensive care unit admission.
Conclusions: The ED EWS resulted in at least two formal reports of clinical deterioration in ED patients per day, indicating reasonable uptake by clinicians. A greater understanding of clinical deterioration in ED patients is warranted to inform an evidence-based approach to recognition of, and response to, clinical deterioration in ED patients.
Resumo:
Objectives:
Design, setting and participants:
A retrospective, descriptive, exploratory study using MET, cardiac arrest, emergency department and inpatient databases, set in a 365-bed urban district hospital in Melbourne, Australia. Participants were adult hospital inpatients admitted to a medical or surgical ward via the emergency department (ED) who needed an emergency response for clinical deterioration during 2012.
Main outcome measures:
Inhospital mortality, unplanned intensive care unit admission and hospital length of stay (LOS).
Results:
A total of 819 patients needed an emergency response for clinical deterioration: 587 patients were admitted via the ED and 28.4% of emergency responses occurred within 24 hours of emergency admission. Patients whose first emergency response was within 24 hours of emergency admission (compared with beyond 24 hours) were more likely to be triaged to Australasian triage scale category 1 (5.4% v 1.2%, P=0.005), less likely to require ICU admission after the emergency response (7.6% v 13.9%, P=0.039), less likely to have recurrent emergency responses during their hospital stay (9.7% v 34%, P < 0.001) and had a shorter median hospital LOS (7 days v 11 days, P < 0.001).
Conclusions:
One-quarter of emergency responses after admission via the ED occurred within 24 hours. Further research is needed to understand the predictors of deterioration in patients needing emergency admission.
Resumo:
OBJECTIVES: To derive and validate a mortality prediction model from information available at ED triage. METHODS: Multivariable logistic regression of variables from administrative datasets to predict inpatient mortality of patients admitted through an ED. Accuracy of the model was assessed using the receiver operating characteristic area under the curve (ROC-AUC) and calibration using the Hosmer-Lemeshow goodness of fit test. The model was derived, internally validated and externally validated. Derivation and internal validation were in a tertiary referral hospital and external validation was in an urban community hospital. RESULTS: The ROC-AUC for the derivation set was 0.859 (95% CI 0.856-0.865), for the internal validation set was 0.848 (95% CI 0.840-0.856) and for the external validation set was 0.837 (95% CI 0.823-0.851). Calibration assessed by the Hosmer-Lemeshow goodness of fit test was good. CONCLUSIONS: The model successfully predicts inpatient mortality from information available at the point of triage in the ED.
