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Triage by Resource Allocation for INpatients: A Novel Disaster Triage Tool for Hospitalized Pediatric Patients

Published online by Cambridge University Press:  31 January 2018

Anna Lin*
Affiliation:
Division of Pediatric Hospital Medicine, Stanford University, Office of Emergency Management, Lucile Packard Children's Hospital Stanford
Kristine Taylor
Affiliation:
Center for Professional Excellence & Inquiry, Nursing, Lucile Packard Children's Hospital Stanford
Ronald S. Cohen
Affiliation:
Division of Neonatology, Stanford University, Neonatology, Lucile Packard Children's Hospital Stanford
*
Correspondence and reprints request to Anna Lin, Department of Pediatrics, Division of Pediatric Hospital Medicine, 300 Pasteur Drive, MC 5776, Palo Alto, CA 94304 (e-mail: [email protected])

Abstract

Objective

To develop a disaster triage tool for the evacuation of hospitalized neonatal and pediatric populations.

Methods

We expanded an existing neonatal disaster triage tool for the evacuation of a children’s hospital. We assessed inpatients using bedside visual assessments and chart review to categorize patients transport level based on local emergency medical services protocols and expert opinion. The tool was refined by using multiple Plan Do Study Act cycles. Primary outcome was the number of each level of transport required for hospital evacuation. Secondary outcome was improved efficiency of obtaining information about specific transport needs for evacuation.

Results

We evaluated 1382 patients both visually and through electronic chart review over 10 random days. Accordance between visual assessment and electronic chart review reached 96.3%. During a 2 hour statewide disaster drill, no hospital units completed self-assessed transport needs for their patients; a single nurse used Triage by Resource Allocation in INpatients to determine transportation needs in less than 1 hour. (Disaster Med Public Health Preparedness. 2018;12:692-696)

Type
Original Research
Copyright
Copyright © Society for Disaster Medicine and Public Health, Inc. 2018 

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