OBJECTIVE: To determine the increase in intensive care unit (ICU) bed availability that would result from the use of the New South Wales and Ontario Health Plan for an Influenza Pandemic (OHPIP) triage protocols. DESIGN, SETTING AND PATIENTS: Prospective evaluation study conducted in eight Australian, adult, general ICUs, between September 2009 and May 2010. All patients who were admitted to the ICU, excluding those who had elective surgery, were prospectively evaluated using the two triage protocols, simulating a pandemic situation. Both protocols were originally developed to determine which patients should be excluded from accessing ICU resources during an influenza pandemic. MAIN OUTCOME MEASURE: Increase in ICU bed availability. RESULTS: At admission, the increases in ICU bed availability using Tiers 1, 2 and 3 of the NSW triage protocol were 3.5%, 14.7% and 22.7%, respectively, and 52.8% using the OHPIP triage protocol (P < 0.001). Re-evaluation of patients at 12 hours after admission using Tiers 1, 2 and 3 of the NSW triage protocol incrementally increased ICU bed availability by 19.2%, 16.1% and 14.1%, respectively (P < 0.001). The maximal cumulative increases in ICU bed availability using Tiers 1, 2 and 3 of the NSW triage protocol were 23.7%, 31.6% and 37.5%, respectively, at 72 hours (P < 0.001), and 65.0% using the OHPIP triage protocol, at 120 hours (P < 0.001). CONCLUSION: Both triage protocols resulted in increases in ICU bed availability, but the OHPIP protocol provided the greatest increase overall. With the NSW triage protocol, ICU bed availability increased as the protocol was escalated.
OBJECTIVE: To determine the increase in intensive care unit (ICU) bed availability that would result from the use of the New South Wales and Ontario Health Plan for an Influenza Pandemic (OHPIP) triage protocols. DESIGN, SETTING AND PATIENTS: Prospective evaluation study conducted in eight Australian, adult, general ICUs, between September 2009 and May 2010. All patients who were admitted to the ICU, excluding those who had elective surgery, were prospectively evaluated using the two triage protocols, simulating a pandemic situation. Both protocols were originally developed to determine which patients should be excluded from accessing ICU resources during an influenza pandemic. MAIN OUTCOME MEASURE: Increase in ICU bed availability. RESULTS: At admission, the increases in ICU bed availability using Tiers 1, 2 and 3 of the NSW triage protocol were 3.5%, 14.7% and 22.7%, respectively, and 52.8% using the OHPIP triage protocol (P < 0.001). Re-evaluation of patients at 12 hours after admission using Tiers 1, 2 and 3 of the NSW triage protocol incrementally increased ICU bed availability by 19.2%, 16.1% and 14.1%, respectively (P < 0.001). The maximal cumulative increases in ICU bed availability using Tiers 1, 2 and 3 of the NSW triage protocol were 23.7%, 31.6% and 37.5%, respectively, at 72 hours (P < 0.001), and 65.0% using the OHPIP triage protocol, at 120 hours (P < 0.001). CONCLUSION: Both triage protocols resulted in increases in ICU bed availability, but the OHPIP protocol provided the greatest increase overall. With the NSW triage protocol, ICU bed availability increased as the protocol was escalated.
Authors: Kirsten M Fiest; Karla D Krewulak; Kara M Plotnikoff; Laryssa G Kemp; Ken Kuljit S Parhar; Daniel J Niven; John B Kortbeek; Henry T Stelfox; Jeanna Parsons Leigh Journal: BMC Med Date: 2020-12-18 Impact factor: 8.775
Authors: Joao Gabriel Rosa Ramos; Beatriz Perondi; Roger Daglius Dias; Leandro Costa Miranda; Claudio Cohen; Carlos Roberto Ribeiro Carvalho; Irineu Tadeu Velasco; Daniel Neves Forte Journal: Crit Care Date: 2016-04-02 Impact factor: 9.097
Authors: Ryan C Maves; James Downar; Jeffrey R Dichter; John L Hick; Asha Devereaux; James A Geiling; Niranjan Kissoon; Nathaniel Hupert; Alexander S Niven; Mary A King; Lewis L Rubinson; Dan Hanfling; James G Hodge; Mary Faith Marshall; Katherine Fischkoff; Laura E Evans; Mark R Tonelli; Randy S Wax; Gilbert Seda; John S Parrish; Robert D Truog; Charles L Sprung; Michael D Christian Journal: Chest Date: 2020-04-11 Impact factor: 9.410