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Document Type
Evidence Search Report
Review Code
CC120401-01 ESR
Question Submitted
December 4, 2020
Date Completed
December 8, 2020
Status
3. Completed
Research Team
Critical Care
RESEARCH QUESTION: Does data exist on the performance of triage or resource allocation frameworks
Document Type
Evidence Search Report
Review Code
CC120401-01 ESR
Question Submitted
December 4, 2020
Date Completed
December 8, 2020
Status
3. Completed
Research Team
Critical Care
Category
Administration
Healthcare Services
Subject
Health Planning
Facilities
Triage
Population
All
All adults
Clinical Setting
ICU
Priority Level
Level 3 Two weeks (14 days)
Cite As
Miller, L; Howell-Spooner, B. Does data exist on the performance of triage or resource allocation frameworks for COVID-19 and other pandemics? 2020 Dec 8; Document no.: CC120401-01 ESR. In: COVID-19 Rapid Evidence Reviews [Internet]. SK: SK COVID Evidence Support Team, c2020. 20 p. (CEST evidence search report)
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Document Type
Rapid Review
Review Code
CC120401 RR
Question Submitted
December 4, 2020
Date Completed
December 17, 2020
Status
3. Completed
Research Team
Critical Care
Review Title: Does data exist on the performance of triage or resource allocation frameworks for COVID
Document Type
Rapid Review
Review Code
CC120401 RR
Question Submitted
December 4, 2020
Date Completed
December 17, 2020
Status
3. Completed
Research Team
Critical Care
Key Findings
· There is little literature on the performance of triage frameworks. However, critiques of frameworks can help to inform the development of future protocols. · It is ethically problematic to include age as a triage factor rather than the more nuanced factors of frailty and chronic comorbidities. · The public should be included when creating triage protocols to create transparency and trust in the health system. · Healthcare providers should be familiar with the ethical decisions that have been made in establishing the protocols. However, using a triage team to make decisions about resource allocation would alleviate moral burden from clinicians. · Regular review of current guidelines, such as the use of SOFA scores, is recommended as knowledge about COVID-19 changes. Rapid Review Report: CC120401 RR (Version 1: December 17, 2020 11:45) 2 · Patients should be regularly reassessed to allow for timely redistribution of critical resources.
Category
Administration
Healthcare Services
Subject
Health Planning
Facilities
Triage
Population
All
All adults
Clinical Setting
ICU
Priority Level
Level 3 Two weeks (14 days)
Cite As
Fick, F; Valiani, S; Miller, L; Howell-Spooner, B. Does data exist on the performance of triage or resource allocation frameworks for COVID-19 and other pandemics? 2020 Dec 17; Document no.: CC120401 RR. In: COVID-19 Rapid Evidence Reviews [Internet]. SK: SK COVID Evidence Support Team, c2020. 91 p. (CEST rapid review report)
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Document Type
Evidence Search Report
Review Code
CC120402-01 ESR
Question Submitted
December 4, 2020
Date Completed
December 8, 2020
Status
3. Completed
Research Team
Critical Care
, caregiver-patient ratios (avoid social/environmental). (see review CAC061801 for pediatric mortality/triage
Document Type
Evidence Search Report
Review Code
CC120402-01 ESR
Question Submitted
December 4, 2020
Date Completed
December 8, 2020
Status
3. Completed
Research Team
Critical Care
Category
Clinical Presentation
Subject
Mortality
Triage
Modeling
Population
All
All adults
Clinical Setting
ICU
Priority Level
Level 3 Two weeks (14 days)
Cite As
Miller, L; Howell-Spooner, B. What are the predictors of mortality in COVID-19 patients? 2020 Dec 8; Document no.: CC120402-01 ESR. In: COVID-19 Rapid Evidence Reviews [Internet]. SK: SK COVID Evidence Support Team, c2020. 23 p. (CEST evidence search report)
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Document Type
Rapid Review
Review Code
CC120402 RR
Question Submitted
December 4, 2020
Date Completed
December 9, 2020
Status
3. Completed
Research Team
Critical Care
. A better understanding of predictors of mortality can aid in triage and resource allocation by providing
Document Type
Rapid Review
Review Code
CC120402 RR
Question Submitted
December 4, 2020
Date Completed
December 9, 2020
Status
3. Completed
Research Team
Critical Care
Key Findings
· A burgeoning body of research exists about factors associated with in-hospital mortality among COVID-19 patients; however, focus on intensive care settings remains limited. · The most frequent predictors of critical care mortality integrate age, physiologic markers and laboratory parameters in the most parsimonious models or prognostic scoring systems. · Commonly used prognostic scoring systems such as MEWS, APACHE and SOFA provide crude mortality risk prediction that may be improved with machine learning algorithms that potentially offer more clinically relevant windows and opportunities for mortality risk prediction prior to deterioration. Rapid Review Report: CC120402 RR (Version 1: December 9, 2020 14:51) 2 · Between centre variation is potentially an important determinant of critical care mortality that needs to be explored.
Category
Clinical Presentation
Subject
Critical Care
Triage
Population
All
All adults
Clinical Setting
ICU
Priority Level
Level 3 Two weeks (14 days)
Cite As
Williams-Roberts, H; Valiani, S; McLean, M; Miller, L; Howell-Spooner, B. What are the predictors of mortality in hospitalized COVID-19 patients? 2020 Dec 9; Document no.: CC120402 RR. In: COVID-19 Rapid Evidence Reviews [Internet]. SK: SK COVID Evidence Support Team, c2020. 33 p. (CEST rapid review report)
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