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1.
BMC Emerg Med ; 24(1): 111, 2024 Jul 09.
Article in English | MEDLINE | ID: mdl-38982356

ABSTRACT

INTRODUCTION: Overcrowding in the emergency department (ED) is a global problem. Early and accurate recognition of a patient's disposition could limit time spend at the ED and thus improve throughput and quality of care provided. This study aims to compare the accuracy among healthcare providers and the prehospital Modified Early Warning Score (MEWS) in predicting the requirement for hospital admission. METHODS: A prospective, observational, multi-centre study was performed including adult patients brought to the ED by ambulance. Involved Emergency Medical Service (EMS) personnel, ED nurses and physicians were asked to predict the need for hospital admission using a structured questionnaire. Primary endpoint was the comparison between the accuracy of healthcare providers and prehospital MEWS in predicting patients' need for hospital admission. RESULTS: In total 798 patients were included of whom 393 (49.2%) were admitted to the hospital. Sensitivity of predicting hospital admission varied from 80.0 to 91.9%, with physicians predicting hospital admission significantly more accurately than EMS and ED nurses (p < 0.001). Specificity ranged from 56.4 to 67.0%. All healthcare providers outperformed MEWS ≥ 3 score on predicting hospital admission (sensitivity 80.0-91.9% versus 44.0%; all p < 0.001). Predictions for ward admissions specifically were significantly more accurate than MEWS (specificity 94.7-95.9% versus 60.6%, all p < 0.001). CONCLUSIONS: Healthcare providers can accurately predict the need for hospital admission, and all providers outperformed the MEWS score.


Subject(s)
Emergency Service, Hospital , Humans , Prospective Studies , Female , Male , Middle Aged , Adult , Emergency Medical Services , Early Warning Score , Aged , Patient Admission/statistics & numerical data , Sensitivity and Specificity , Hospitalization
2.
Injury ; 50(12): 2167-2175, 2019 Dec.
Article in English | MEDLINE | ID: mdl-31627899

ABSTRACT

INTRODUCTION: Emergency ultrasound methods such as Focused Assessment with Sonography in Trauma (FAST) are a widely used imaging method. This examination can be performed to examine the presence of several life-threatening injuries. Early diagnosis may lead to better outcome, but the effect of timely diagnosis in the prehospital setting is not yet clear. Therefore, the aim is to determine the diagnostic accuracy and the effect of prehospital ultrasound performed in (poly)trauma patients. METHODS: A literature search was performed in PubMed, Embase and Cochrane's Library. Articles were included if prehospital ultrasound was performed as a diagnostic intervention in patients with trauma. The main outcome measures included diagnostic accuracy, changes in prehospital diagnosis/treatment, changes in destination hospital and in-hospital response. Case reports and case series were excluded. RESULTS: After screening 3343 articles, nine studies met the inclusion criteria. These included three retrospective and six prospective observational studies, with a total number of 2,889 patients. Five studies report at least one change in polytrauma management, ranging from 6% to 48,9% of the cases. The diagnostic accuracy of prehospital ultrasound was adequate in eight (out of nine) articles. High sensitivity and high specificity were found on several endpoints (pneumothorax, free abdominal fluid, haemoperitoneum, both on site and during transport). CONCLUSION: Prehospital ultrasound led to a change in polytrauma management in all studies that included this as an outcome measure. The diagnostic accuracy was described in eight studies, high sensitivity and specificity were found. Overall, the studies seem to suggest a positive influence of performing ultrasound. However, additional research with homogenous accuracy endpoints and uniformly trained prehospital care providers is recommended.


Subject(s)
Emergency Medical Services/methods , Multiple Trauma/diagnosis , Ultrasonography/methods , Early Diagnosis , Humans , Sensitivity and Specificity , Time-to-Treatment
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