2015
DOI: 10.1097/pcc.0000000000000481
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Evidence-Based Pediatric Outcome Predictors to Guide the Allocation of Critical Care Resources in a Mass Casualty Event*

Abstract: An evidence-based predictive tool for children is presented to guide resource allocation during Crisis Standards of Care, potentially improving population outcomes by selecting patients likely to benefit from short-duration ICU interventions.

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Cited by 22 publications
(9 citation statements)
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“…Recently VPS data have been used to develop a unique, data-driven methodology for disaster triage. 32 Finally an extension of the use of ICU data to examine quality issues has recently been reported using the Society of Thoracic Surgeons (STS) and public health information system databases to demonstrate that there is a relationship between high-quality outcomes as measured by standardized mortality and decreased cost of careconfirming what we believe-quality care costs less. 33 Fig.…”
Section: Comparing Quality and Benchmarkingmentioning
confidence: 91%
“…Recently VPS data have been used to develop a unique, data-driven methodology for disaster triage. 32 Finally an extension of the use of ICU data to examine quality issues has recently been reported using the Society of Thoracic Surgeons (STS) and public health information system databases to demonstrate that there is a relationship between high-quality outcomes as measured by standardized mortality and decreased cost of careconfirming what we believe-quality care costs less. 33 Fig.…”
Section: Comparing Quality and Benchmarkingmentioning
confidence: 91%
“…This work evolved from a request by the State of Ohio to construct such an algorithm to augment their disaster readiness planning. We previously have derived prediction equations for probability of death (POD) and days on mechanical ventilation (DV) for children admitted to the PICU (16). The present study extends this work by simulating a pandemic crisis.…”
mentioning
confidence: 89%
“…However, with rapidly increasing and sustained demand such measures might be insufficient, and the need for resources may rapidly exceed capacity. In this situation, healthcare systems need to have evidence-based, equitable, and publicly defensible policies in place on how to ration potentially life-saving treatments [10,11]. Rules to guide allocation of life sustaining treatments will need to incorporate ethical considerations such as social justice, non-prejudice, prevention of preferential treatment of population subgroups, and be transparent to clinicians and the public to prevent moral distress and outrage.…”
Section: Introductionmentioning
confidence: 99%