scholarly journals Perceptions of Australasian emergency department staff of the impact of alcohol‐related presentations

2016 ◽  
Vol 204 (4) ◽  
pp. 155-155 ◽  
Author(s):  
Diana Egerton‐Warburton ◽  
Andrew Gosbell ◽  
Angela Wadsworth ◽  
Katie Moore ◽  
Drew B Richardson ◽  
...  
Keyword(s):  
Emergency Department ◽  
Emergency Department Staff ◽  
Department Staff ◽  
The Impact

scholarly journals 281 The Impact of Incivility on Well-Being of Emergency Department Staff

2019 ◽  
Vol 74 (4) ◽  
pp. S111
Author(s):  
C.R. Stehman ◽  
B. Amber ◽  
D. Burrows ◽  
C.O.L.H. Porter
Keyword(s):  
Emergency Department ◽  
Well Being ◽  
Emergency Department Staff ◽  
Department Staff ◽  
The Impact

scholarly journals Evaluating the Need for Routine COVID-19 Testing of Emergency Department Staff: Quantitative Analysis (Preprint)

2020 ◽  
Author(s):  
Yuemei Zhang ◽  
Sheng-Ru Cheng
Keyword(s):  
Health Care ◽  
Emergency Department ◽  
Quantitative Analysis ◽  
Health Care Workers ◽  
Resource Constraints ◽  
Emergency Department Visits ◽  
Emergency Department Staff ◽  
Department Staff ◽  
Care Workers ◽  
The Impact

BACKGROUND As the number of COVID-19 cases in the US continues to increase and hospitals experience shortage of personal protective equipment (PPE), health care workers have been disproportionately affected. However, since COVID-19 testing is now easily available, there is a need to evaluate whether routine testing should be performed for asymptomatic health care workers. OBJECTIVE This study aimed to provide a quantitative analysis of the predicted impact that regular testing of health care workers for COVID-19 may have on the prevention of the disease among emergency department patients and staff. METHODS Using publicly available data on COVID-19 cases and emergency department visits, as well as internal hospital staffing information, we developed a mathematical model to predict the impact of periodic COVID-19 testing of asymptomatic staff members of the emergency department in COVID-19–affected regions. We calculated various transmission constants based on the Diamond Princess cruise ship data, used a logistic model to calculate new infections, and developed a Markov model based on the average incubation period for COVID-19. RESULTS Our model predicts that after 180 days, with a transmission constant of 1.219e-4 new infections/person<sup>2</sup>, weekly COVID-19 testing of health care workers would reduce new health care worker and patient infections by approximately 3%-5.9%, and biweekly testing would reduce infections in both by 1%-2.1%. At a transmission constant of 3.660e-4 new infections/person<sup>2</sup>, weekly testing would reduce infections by 11%-23% and biweekly testing would reduce infections by 5.5%-13%. At a lower transmission constant of 4.067e-5 new infections/person<sup>2</sup>, weekly and biweekly COVID-19 testing for health care workers would result in an approximately 1% and 0.5%-0.8% reduction in infections, respectively. CONCLUSIONS Periodic COVID-19 testing for emergency department staff in regions that are heavily affected by COVID-19 or are facing resource constraints may significantly reduce COVID-19 transmission among health care workers and previously uninfected patients.

scholarly journals Evaluating the Need for Routine COVID-19 Testing of Emergency Department Staff: Quantitative Analysis

10.2196/20260 ◽  
2020 ◽  
Vol 6 (4) ◽  
pp. e20260
Author(s):  
Yuemei Zhang ◽  
Sheng-Ru Cheng
Keyword(s):  
Health Care ◽  
Emergency Department ◽  
Quantitative Analysis ◽  
Health Care Workers ◽  
Resource Constraints ◽  
Emergency Department Visits ◽  
Emergency Department Staff ◽  
Department Staff ◽  
Care Workers ◽  
The Impact

Background As the number of COVID-19 cases in the US continues to increase and hospitals experience shortage of personal protective equipment (PPE), health care workers have been disproportionately affected. However, since COVID-19 testing is now easily available, there is a need to evaluate whether routine testing should be performed for asymptomatic health care workers. Objective This study aimed to provide a quantitative analysis of the predicted impact that regular testing of health care workers for COVID-19 may have on the prevention of the disease among emergency department patients and staff. Methods Using publicly available data on COVID-19 cases and emergency department visits, as well as internal hospital staffing information, we developed a mathematical model to predict the impact of periodic COVID-19 testing of asymptomatic staff members of the emergency department in COVID-19–affected regions. We calculated various transmission constants based on the Diamond Princess cruise ship data, used a logistic model to calculate new infections, and developed a Markov model based on the average incubation period for COVID-19. Results Our model predicts that after 180 days, with a transmission constant of 1.219e-4 new infections/person2, weekly COVID-19 testing of health care workers would reduce new health care worker and patient infections by approximately 3%-5.9%, and biweekly testing would reduce infections in both by 1%-2.1%. At a transmission constant of 3.660e-4 new infections/person2, weekly testing would reduce infections by 11%-23% and biweekly testing would reduce infections by 5.5%-13%. At a lower transmission constant of 4.067e-5 new infections/person2, weekly and biweekly COVID-19 testing for health care workers would result in an approximately 1% and 0.5%-0.8% reduction in infections, respectively. Conclusions Periodic COVID-19 testing for emergency department staff in regions that are heavily affected by COVID-19 or are facing resource constraints may significantly reduce COVID-19 transmission among health care workers and previously uninfected patients.

scholarly journals Burnout on the frontline: the impact of COVID-19 on emergency department staff wellbeing

2021 ◽  
Author(s):  
Oisín Sheehan ◽  
Micheal Sheehan ◽  
Raluca Ileana Rau ◽  
Iomhar O. Sullivan ◽  
Geraldine McMahon ◽  
...  
Keyword(s):  
Emergency Department ◽  
Emergency Department Staff ◽  
Department Staff ◽  
Staff Wellbeing ◽  
The Impact

scholarly journals Periodic COVID-19 Testing in Emergency Department Staff

2020 ◽  
Author(s):  
Yuemei Zhang ◽  
Sheng-Ru Cheng
Keyword(s):  
Emergency Department ◽  
Healthcare Workers ◽  
Resource Constraints ◽  
Emergency Department Visits ◽  
Emergency Department Staff ◽  
Department Staff ◽  
The Us ◽  
Lower Transmission ◽  
Hospital Staffing ◽  
The Impact

Background: As the number of COVID-19 cases in the US continues to rise and hospitals are experiencing personal protective equipment (PPE) shortages, healthcare workers have been disproportionately affected by COVID-19 infection. Since COVID-19 testing is now available, some have raised the question of whether we should be routinely testing asymptomatic healthcare workers. Methods: Using publicly available data on COVID-19 infections and emergency department visits, as well as internal hospital staffing information, we generated a mathematical model to predict the impact of periodic COVID-19 testing in asymptomatic members of the emergency department staff in regions affected by COVID-19 infection. We calculated various transmission constants based on the Diamond Princess cruise ship data, used a logistic model to calculate new infections, and we created a Markov model according to average COVID-19 incubation time. Results: Our model predicts that after 30 days, with a transmission constant of 1.219e-4 new infections per person2, weekly COVID-19 testing of healthcare workers (HCW) would reduce new HCW and patient infections by 5.1% and bi-weekly testing would reduce both by 2.3%. At a transmission constant of 3.660e-4 new infections per person,2 weekly testing would reduce infections by 21.1% and bi-weekly testing would reduce infections by 9.7-9.8%. For a lower transmission constant of 4.067e-5 new infections per person2, weekly and biweekly HCW testing would result in a 1.54% and 0.7% reduction in infections respectively. Conclusion: Periodic COVID-19 testing for emergency department staff in regions that are heavily-affected by COVID-19 and/or facing resource constraints may reduce COVID-19 transmission significantly among healthcare workers and previously-uninfected patients.

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