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1.
Australian Critical Care ; 36(1):108-113, 2023.
Article in English | Scopus | ID: covidwho-2234275

ABSTRACT

Background: Based on the early international COVID-19 experience, it was anticipated that intensive care services and workforces in Australia would be placed under similar pressure. While surge capacity of medical and nursing workforces was estimated, little was known about baseline allied health staffing, making it difficult to estimate surge capacity and coordinate planning. Objectives: The purpose of this study was to (i) capture baseline allied health staffing levels in Australian adult intensive care units (ICUs) prior to the COVID-19 pandemic emergence in Australia and (ii) describe the allied health pandemic planning and surge response in Australian ICUs during the early waves of the pandemic. Methods: This was a cross-sectional, investigator-devised, prospective survey study. The survey was administered via the national chief allied health network to a convenience sample of senior ICU allied health clinicians at hospitals throughout Australia. Results: A total of 40 responses were received from tertiary and metropolitan hospitals;12 (30%) physiotherapists and eight (20%) occupational therapists were the most frequent respondents. Prior to the COVID-19 pandemic, 28 (70%) allied health respondents had a mean (interquartile range) of 1.74 (2.00) full-time equivalent staff designated to the ICU, where these ICUs had a mean of 21.53 (15.00) ventilator beds. Few respondents serviced their ICU on a referral-only basis and did not have dedicated ICU full-time equivalent (12;20%). Surge planning was mostly determined by discussion within the ICU, allied health department, and/or respective disciplines. This approach meant that allied health staffing and associated decision-making was ad hoc at a local level. Conclusions: The baseline rate of allied health coverage in Australian ICUs remains unknown, and the variability across allied health and within the specific disciplines is undetermined. Further research infrastructure to capture ICU allied health workforce data is urgently needed to guide future pandemic preparedness. © 2022 Australian College of Critical Care Nurses Ltd

2.
Critical Care and Resuscitation ; 23(3):308-319, 2021.
Article in English | Scopus | ID: covidwho-1743252

ABSTRACT

Objective: To report longitudinal differences in baseline characteristics, treatment, and outcomes in patients with coronavirus disease 2019 (COVID-19) admitted to intensive care units (ICUs) between the first and second waves of COVID-19 in Australia. Design, setting and participants: SPRINT-SARI Australia is a multicentre, inception cohort study enrolling adult patients with COVID-19 admitted to participating ICUs. The first wave of COVID-19 was from 27 February to 30 June 2020, and the second wave was from 1 July to 22 October 2020. Results: A total of 461 patients were recruited in 53 ICUs across Australia;a higher number were admitted to the ICU during the second wave compared with the first: 255 (55.3%) versus 206 (44.7%). Patients admitted to the ICU in the second wave were younger (58.0 v 64.0 years;P = 0.001) and less commonly male (68.9% v 60.0%;P = 0.045), although Acute Physiology and Chronic Health Evaluation (APACHE) II scores were similar (14 v 14;P = 0.998). High flow oxygen use (75.2% v 43.4%;P < 0.001) and non-invasive ventilation (16.5% v 7.1%;P = 0.002) were more common in the second wave, as was steroid use (95.0% v 30.3%;P < 0.001). ICU length of stay was shorter (6.0 v 8.4 days;P = 0.003). In-hospital mortality was similar (12.2% v 14.6%;P = 0.452), but observed mortality decreased over time and patients were more likely to be discharged alive earlier in their ICU admission (hazard ratio, 1.43;95% CI, 1.13–1.79;P = 0.002). Conclusion: During the second wave of COVID-19 in Australia, ICU length of stay and observed mortality decreased over time. Multiple factors were associated with this, including changes in clinical management, the adoption of new evidence-based treatments, and changes in patient demographic characteristics but not illness severity. © 2021, College of Intensive Care Medicine. All rights reserved.

3.
Critical Care and Resuscitation ; 22(4):394-396, 2020.
Article in English | Web of Science | ID: covidwho-1085892
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