G316(P) The impact of children’s ambulatory unit model of care on children’s emergency department flow

Author(s):  
K Thompson ◽  
L Etheridge
2020 ◽  
Vol 38 (15_suppl) ◽  
pp. e14029-e14029
Author(s):  
Gillian Blanchard ◽  
Antonino Bonaventura ◽  
Nicholas Dafters ◽  
Fiona Day ◽  
Craig Gedye ◽  
...  

e14029 Background: A significant delay in oncology patient journey through emergency department (ED) due to various reasons such as multiple specialists involved, difficulty in accessing timely advice from extremely busy inpatient/outpatient oncology teams, etc. In order to streamline admissions and discharges for oncology patients, a new model of care was created with the introduction of oncology nurse practitioner (ONP) at Calvary Mater Newcastle ED. This model operated during business hours three days a week with an aim to improve continuity of care, to enhance patients’ experience and meet organisations key performance indicators (KPIs). Limited research into the impact of these services on patient care and patient experience, particularly from service users’ perspective. Methods: A retrospective audit (6 months) has been undertaken to determine the impact of this model of care on time to specialty transfer, number of admissions versus discharges and patients representations through ED when ONP was available versus standard care. Results: During the audit period, ONP reviewed 149 patients. Fifty-four (36%) patients were discharged and of those 6 (11%) returned (within 28 days) with same or related issues. There was an average reduction in time to disposition planning for ED oncology patients of approximately 83 (193 vs 110) minutes when ONP was present at ED (one month review). Using a raw bed day costing, this resulted in a significant financial saving. Further cost analysis of this model is underway. Conclusions: The introduction of ONP into an acute care hospital ED has proven to be effective in terms of continuity of patient care, financial savings and assisted ED in meeting KPIs. The perception within the senior emergency management team is that this new model of care has been an unqualified success. ONP has rapidly and effectively joined emergency team and has seamlessly adjusted practice to the new environment. ED remains highly supportive of this new model of care. This model of care is one that could be translated easily to other specialities. Further analysis will be presented at the time of ASCO meeting.


PLoS ONE ◽  
2021 ◽  
Vol 16 (12) ◽  
pp. e0261303
Author(s):  
David Brain ◽  
David Johnson ◽  
Julia Hocking ◽  
Angela T. Chang

Objective This study aims to determine whether redeploying junior doctors to assist at triage represents good value for money and a good use of finite staffing resources. Methods We undertook a cost-minimisation analysis to produce new evidence, from an economic perspective, about the costs associated with reallocating junior doctors in the emergency department. We built a decision-analytic model, using a mix of prospectively collected data, routinely collected administrative databases and hospital costings to furnish the model. To measure the impact of uncertainty on the model’s inputs and outputs, probabilistic sensitivity analysis was undertaken, using Monte Carlo simulation. Results The mean costs for usual care were $27,035 (95% CI $27,016 to $27,054), while the mean costs for the new model of care were $25,474, (95% CI $25,453 to $25,494). As a result, the mean difference was -$1,561 (95% CI -$1,533 to -$1,588), with the new model of care being a less costly approach to managing staffing allocations, in comparison to the usual approach. Conclusion Our study shows that redeploying a junior doctor from the fast-track area of the department to assist at triage provides a modest reduction in cost. Our findings give decision-makers who seek to maximise benefit from their finite budget, support to reallocate personnel within the ED.


2020 ◽  
Author(s):  
Rebecca L. Jessup ◽  
Cassandra Bramston ◽  
Alison Beauchamp ◽  
Anthony Gust ◽  
Natali Cvetanovska ◽  
...  

2020 ◽  
Vol Volume 12 ◽  
pp. 13-18
Author(s):  
Asher L Mandel ◽  
Thomas Bove ◽  
Amisha D Parekh ◽  
Paris Datillo ◽  
Joseph Bove Jr ◽  
...  

2021 ◽  
Vol 16 (1) ◽  
Author(s):  
Francesco A. Ciarleglio ◽  
Marta Rigoni ◽  
Liliana Mereu ◽  
Cai Tommaso ◽  
Alessandro Carrara ◽  
...  

Abstract Background The aim of this retrospective comparative study was to assess the impact of COVID-19 and delayed emergency department access on emergency surgery outcomes, by comparing the main clinical outcomes in the period March–May 2019 (group 1) with the same period during the national COVID-19 lockdown in Italy (March–May 2020, group 2). Methods A comparison (groups 1 versus 2) and subgroup analysis were performed between patients’ demographic, medical history, surgical, clinical and management characteristics. Results Two-hundred forty-six patients were included, 137 in group 1 and 109 in group 2 (p = 0.03). No significant differences were observed in the peri-operative characteristics of the two groups. A declared delay in access to hospital and preoperative SARS-CoV-2 infection rates were 15.5% and 5.8%, respectively in group 2. The overall morbidity (OR = 2.22, 95% CI 1.08–4.55, p = 0.03) and 30-day mortality (OR = 1.34, 95% CI 0.33–5.50, =0.68) were significantly higher in group 2. The delayed access cohort showed a close correlation with increased morbidity (OR = 3.19, 95% CI 0.89–11.44, p = 0.07), blood transfusion (OR = 5.13, 95% CI 1.05–25.15, p = 0.04) and 30-day mortality risk (OR = 8.00, 95% CI 1.01–63.23, p = 0.05). SARS-CoV-2-positive patients had higher risk of blood transfusion (20% vs 7.8%, p = 0.37) and ICU admissions (20% vs 2.6%, p = 0.17) and a longer median LOS (9 days vs 4 days, p = 0.11). Conclusions This article provides enhanced understanding of the effects of the COVID-19 pandemic on patient access to emergency surgical care. Our findings suggest that COVID-19 changed the quality of surgical care with poorer prognosis and higher morbidity rates. Delayed emergency department access and a “filter effect” induced by a fear of COVID-19 infection in the population resulted in only the most severe cases reaching the emergency department in time.


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