scholarly journals Impact of temporary closures of emergency departments during the COVID-19 outbreak on clinical outcomes for emergency patients in a metropolitan area

2021 ◽  
Vol 47 ◽  
pp. 35-41
Author(s):  
Dong Eun Lee ◽  
Young Sun Ro ◽  
Hyun Wook Ryoo ◽  
Sungwoo Moon
2020 ◽  
Vol 221 ◽  
pp. 84-94 ◽  
Author(s):  
Geoffrey Lau ◽  
Maria Koh ◽  
Peter A. Kavsak ◽  
Michael J. Schull ◽  
David W.J. Armstrong ◽  
...  

2020 ◽  
Vol 34 (3) ◽  
pp. 324-347
Author(s):  
Alexander Collins ◽  
Kirsten Barnicot ◽  
Piyal Sen

The objectives of this study were to perform a systematic review and meta-analysis of studies reporting prevalence of personality disorders (PDs) in emergency departments (EDs) and evaluate the effect of comorbid PDs on clinical outcomes. A systematic search of five databases along with manual searching and expert consultation was performed. A quality appraisal was conducted. A total of 29 articles were included. Prevalence of PDs in ED attendees varied depending on presenting complaint, Q(4) = 577.5, p < .01, with meta-analytic prevalence rates of suicide and self-harm at 35% and 22%, respectively. The assessment method had a significant effect on prevalence rates, Q(3) = 17.36, p < .01. Comorbid PD was a risk factor for repeating presenting complaint, subsequent ED return, and hospitalization. Better identification of PDs using screening tools in EDs could improve patient management and clinical outcomes. Future research should focus on PD prevalence in unselected ED populations using validated diagnostic interviews.


Author(s):  
Zeynel Abidin Çil ◽  
Abdullah Caliskan

Emergency departments of hospitals are busy. In recent years, patient arrivals have significantly risen at emergency departments in Turkey like other countries in the world. The main important features of emergency services are uninterrupted service, providing services in a short time, and priority to emergency patients. However, patients who do not need immediate treatment can sometimes apply to this department due to several reasons like working time and short waiting time. This situation can reduce efficiency and effectiveness at emergency departments. On the other hand, computers solve complex classification problems by using machine learning methods. The methods have a wide range of applications, such as computational biology and computer vision. Therefore, classification of emergency and non-emergency patients is vital to increase productivity of the department. This chapter tries to find the best classifier for detection of emergency patients by utilizing a data set.


Orthopedics ◽  
2021 ◽  
Vol 44 (5) ◽  
pp. 313-319
Author(s):  
Peter B. White ◽  
Matthew Partan ◽  
Cesar Iturriaga ◽  
Michael Katsigiorgis ◽  
Gus Katsigiorgis ◽  
...  

2019 ◽  
Vol 6 (Supplement_2) ◽  
pp. S466-S466
Author(s):  
Gilhen Rodriguez ◽  
Samuel Prater ◽  
Gloria Heresi ◽  
James Murphy ◽  
Audrey Wanger ◽  
...  

Abstract Background Individuals living with HIV infection and/or Hep C infection and unaware of their infected status are at risk of significant morbidity and a risk to public health. It has been recommended that all conscious adults presenting to Emergency Departments (EDs) be tested for HIV and increasingly testing for Hep C. Testing of all arrivals is important because a majority of both infections may not present signature signs or symptoms associated with the reason for the ED visit. For these reasons, the implementation of a bundled HIV/HepC testing protocol is reported here. Methods Data from 4 years of HIV/Hep C screening of patients 18 to 64 years old made in 9 EDs in the Houston Metropolitan Area are reviewed. Screening for HIV was using HIV fourth-generation ADVIA Centaur™ Ag/Ab COMBO (Siemens) and Hep C was tested for using Gilead Hep C Ab testing. Results During January 2013 until October 2016, 3,976 HIV/Hep C test bundles were performed. There were 40 (1.0%) HIV+ and 407 (10.2%) Hep C positive detected. Nine (0.2%) of these individuals were positive for both HIV and Hep C. A 22.5% of HIV-positive patients were co-infected with Hep C. The population had a median age of 53 years, comprising an equal number of males and females. Conclusion A significant prevalence of Hep C (10%) and HIV (1%) was found in patients presenting for any cause of major EDs in the Houston region. Bundled HIV/Hep C testing of all arrivals to EDs is an effective way to identify individuals that need to be directed to antiviral and linkage to care. Disclosures All authors: No reported disclosures.


2019 ◽  
Vol 31 (5) ◽  
pp. 886-888 ◽  
Author(s):  
Katie Walker ◽  
Michael Stephenson ◽  
William A Dunlop ◽  
Edward M Cheong ◽  
Michael Ben‐Meir

2019 ◽  
Vol 70 (1) ◽  
pp. 13-22 ◽  
Author(s):  
Jason Seidel ◽  
Mary Beth Bissell ◽  
Sannihita Vatturi ◽  
Angus Hartery

Purpose To explore resource utilization through evaluation of computed tomography (CT) imaging trends in the emergency department by examining common indications/outcomes for imaging in this setting. Methods A retrospective analysis of clinical indications/outcomes for all CT imaging in 3 emergency departments over a 1-year period was conducted. Scans were divided by body part and the most common indications for each type of scan were determined. Clinical outcomes from each study were extracted from final interpretations by the reporting radiologist. Results A total of 4556 CT scans were performed in the emergency department over a 1-year period. A total of 3.6% of all-comers to our emergency departments underwent CT scan as part of their investigation. There were 2107 head CTs (46%), 1296 (28%) abdominal CTs, 468 (10%) CTs of the chest, 408 (9%) CTs of the neck/spine, and 101 (2%) extremity CTs performed. The most common clinical indication for performing a CT head was focal neurological defect comprising 1534 (73%) of all CT heads. Twenty-four percent of abdominal CTs were for investigation of right lower quadrant pain, followed by flank pain (19%). Chest pain and shortness of breath were the most common indications for CTs of the chest (315 [75%]) with 10% of these examinations for this indication positive for pulmonary embolism. Trauma was the most common indication for neck CTs (296 [73%]) and extremities (70 [69%]). Nil acute was the most common final interpretation in all categories (79% CT heads, 75% neck CTs, 38% abdominal CTs, 43% chest CTs). Conclusions Nil acute was the most common diagnosis; however, serious clinical outcomes were identified 40% of the time. Cross-sectional imaging remains an integral tool for triage and diagnosis in this environment as the cost of missing a diagnosis in this setting has a great impact on patient care.


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