Selected article for: "average number and intensive care"

Author: Kam, Andrew W.; King, Nicole; Sharma, Ashima; Phillips, Nicole; Nayyar, Vineet; Shaban, Ramon Z.
Title: Short Research Paper: Personal protective equipment for the care of suspected and confirmed COVID-19 patients - modelling requirements and burn rate
  • Cord-id: akzlbhbb
  • Document date: 2021_4_24
  • ID: akzlbhbb
    Snippet: BACKGROUND: The COVID-19 pandemic has caused unprecedented global demand for personal protective equipment (PPE). A paucity of data on PPE burn rate (PPE consumption over time) in pandemic situations exacerbated these issues as there was little historic research to indicate volumes of PPE required to care for surges in infective patients and thus plan procurement requirements. METHODS: To better understand PPE requirements for care of suspected or confirmed COVID-19 patients in our Australian qu
    Document: BACKGROUND: The COVID-19 pandemic has caused unprecedented global demand for personal protective equipment (PPE). A paucity of data on PPE burn rate (PPE consumption over time) in pandemic situations exacerbated these issues as there was little historic research to indicate volumes of PPE required to care for surges in infective patients and thus plan procurement requirements. METHODS: To better understand PPE requirements for care of suspected or confirmed COVID-19 patients in our Australian quaternary referral hospital, the number of staff-to-patient interactions in a 24-hour period for three patient groups (ward-based COVID suspect, ward-based COVID confirmed, intensive care COVID confirmed) was audited prospectively from 1(st) to 30(th) April 2020. RESULTS: The average number of staff-to-patient interactions in a 24-hour period was: 13.1 ± 5.0 (mean ± SD) for stable ward-managed COVID-19 suspect patients; 11.9 ± 3.8 for stable ward-managed confirmed COVID-19 patients; and 30.0 ± 5.3 for stable, mechanically ventilated, ICU-managed COVID-19 patients. This data can be used in PPE demand simulation modelling for COVID-19 and potentially other respiratory illnesses. CONCLUSION: Data on the average number of staff-to-patient interactions needed for the care of COVID-19 patients is presented. This data can be used for PPE demand simulation modelling.

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