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

An Evacuation Simulation in Multiple Neonatal Intensive Care Units Across a Single City: Lessons Learned

OBJECTIVE

Evacuations of neonatal intensive care units (NICUs) in emergency situations pose specialized challenges given their population of critically-ill neonates. Most of the literature on this topic describes planned evacuations and simulations due to natural disasters, usually involving only NICU staff. This study examines a unique emergent NICU evacuation simulation involving multiple responders occurring on a citywide scale.

METHODS

A simulated evacuation in response to a fire was conducted in 6 different NICUs in El Paso, Texas. The exercise utilized response from NICU staff and first responders. A standardized tool, by independent evaluators, was used to evaluate staff competencies while reactions were assessed using post-exercise surveys.

RESULTS

This city-wide multidisciplinary simulation improved NICU personnel skills in evacuation and also introduced first responders to this specialized patient population. Areas of strength across all NICUs included teamwork, knowledge of evacuation equipment, and patient tracking. Areas for improvement included lack of adequate equipment for post-evacuation care, understanding implications of smoke exposure, alternative evacuation routes, incident command structure, and unified communication.

CONCLUSIONS

This successful, citywide NICU evacuation simulation improved knowledge among participants, introduced first responders to a specialized patient population, and provided valuable lessons on neonate-specific themes that can be incorporated to improve citywide emergency preparedness.

Community-Based Response to the COVID-19 Pandemic: Case Study of a Home Isolation centre using Flexible Surge Capacity

Objectives

Coronavirus disease 2019 (COVID-19) has consumed many available resources within contingency plans, necessitating new capacity surges and novel approaches. This study aimed to explore the possibility of implementing the concept of flexible surge capacity to reduce the burden on hospitals by focussing on community resources to develop home isolation centres in Bangkok, Thailand.

Study design

A qualitative study consisted of observational and semi-structured interview data.

Methods

The development and activities of home isolation centres were observed, and interviews were conducted with leaders and operational workforces. Data were deductively analysed and categorised based on the practical elements necessary in disaster and emergency management.

Results

Data were categorised into the seven collaborative elements of the major incident medical management and support model. The command-and-control category demonstrated four subcategories: (1) coordination and collaboration; (2) staff engagement; (3) responsibility clarification; and (4) sustainability. Safety presented two subcategories: (1) patients' information privacy and treatment; and (2) personnel safety and privacy. Communication showed internal and external communications subcategories. Assessment, triage, treatment and transport followed the processes of the COVID-19 treatment protocols according to the World Health Organisation (WHO) guidelines and hospital operations. Several supply- and patient-related challenges were identified and managed during centre development.

Conclusions

The use of community resources, based on the flexible surge capacity concept, is feasible under restricted circumstances and reduced the burden on hospitals during the COVID-19 pandemic. Continuous education among multidisciplinary volunteer teams facilitated their full participation and engagement. The concept of flexible surge capacity may promote an alternative community-based care opportunity, irrespective of emergencies' aetiology.

A New Quantitative Triage System for Hospitalized Neonates to Assist with Decisions of Hospital Evacuation Priorities

INTRODUCTION

Hospitalized neonates are vulnerable to natural and man-made disasters because of their persistent requirement for medical resources and may need to be evacuated to safe locations when electricity and medical gas supply become unreliable. In Japan, a triage system for hospitalized neonates, or the Simple Triage and Rapid Treatment for Neonates, Revised (START-Neo-R), has been used to determine whether neonates are in suitable conditions for transportation. However, this scale is not useful to determine the evacuation order of neonates because a considerable number of evacuees are classified into the same categories.

STUDY OBJECTIVE

To solve this problem, a novel triage system, Neonatal Extrication Triage (NEXT) was developed. This study tested the validity and reproducibility of both triages and compared them with a standardized prognostic scoring system for hospitalized neonates, the Neonatal Therapeutic Intervention Scoring System (NTISS).

METHODS

In this retrospective observational study, physicians and nurses independently assessed each neonate hospitalized at a tertiary neonatal intensive care unit (NICU) twice weekly using NEXT and START-Neo-R. The NEXT system comprises six questionnaires regarding medical resources required during transition and transportation, providing composite scores on a 12-point scale. The START-Neo-R classified neonates into five levels based on the severity of disease and dependence on medical care. Inter-rater reliability of both systems was assessed using Cohen's kappa coefficient, whereas the criterion validity with NTISS was assessed using Spearman's correlation coefficient.

RESULTS

Overall, 162 neonates were assessed for 49 days, resulting in triage data for 1,079 accumulated patients. Both NEXT scores and START-Neo-R ranks were well-dispersed across different levels without excessive accumulation in specific categories. Inter-rater reliability of NEXT (kappa coefficient, 0.973; 95% confidence interval, 0.969-0.976) and START-Neo-R (kappa coefficient, 0.952; 95% confidence interval, 0.946-0.957) between physicians and nurses was sufficiently high. The correlation coefficient of NEXT and START-Neo-R scores with NTISS scores were 0.889 (P <.001) and 0.850 (P <.001), respectively.

CONCLUSIONS

Both START-Neo-R and NEXT had good reproducibility and correlation with the severity of neonates indicated by NTISS. With its well-dispersed scores across different levels, the NEXT system might be a powerful tool to determine the priority of evacuation objectively.

Universal Level Designations for Hospitalized Pediatric Patients in Evacuation

Children comprise approximately 22% of the population in the United States.1 In a widespread disaster such as a hurricane, pandemic, wildfire or major earthquake, children are at least proportionately affected to their share of the population, if not more so. They also have unique vulnerabilities including physical, mental, and developmental differences from adults, which make them more prone to adverse health effects of disasters.2-4 There are about 5000 pediatric critical care beds and 23 000 neonatal intensive care beds out of 900 000 total hospital beds in the United States.5 While no mechanism exists to consistently track pediatric acute care beds nationally (especially in real time), a previous study6 showed a 7% decline in pediatric medical-surgical beds between 2002 and 2011. This study also estimated there are about 30 000 acute care pediatric beds nationally. Finding appropriate hospital resources for the provision of care for pediatric disaster victims is an important concern for those charged with triaging patients in a major event.

California and Oregon NICU Wildfire Disaster Preparedness Tools

The 2020 wildfire season was devastating to the Western United States and affected the region’s NICUs. In this study, we ask the question, “what tools/strategies do medical professionals deem as important and most helpful as they are preparing for wildfire disaster response?” It is a follow up to our previous study: Learning from Wildfire Disaster Experience in California NICUs. We reevaluated how California NICUs dealt with the 2020 wildfires and expanded to Oregon and Southwest (SW) Washington NICUs. We conducted a survey with eleven Oregon and SW Washington NICUs about their wildfire evacuation preparedness. We also interviewed two neonatologists about their wildfire disaster experience evacuating their NICU or preparing to evacuate. Our findings suggest there is more work needed to fully prepare NICUs for wildfire disasters. We hope that by bringing light to the strategies used by affected clinicians, we can educate and support future NICU disaster preparedness responses.

Learning from Wildfire Disaster Experience in California NICUs

Wildfires have been affecting California greatly, and vulnerable patients in neonatal intensive care units (NICUs) are not exempt. Our aim was to learn how personnel working in NICUs of California hospitals handled issues of neonatal transfer during wildfire disasters in recent years, with an ultimate goal to share lessons learned with healthcare teams on disaster preparedness. We identified California fires through newspaper articles and the CalFire.gov list. We determined which hospitals were affected and contacted members of the healthcare team through connections via the California Perinatal Quality Care Collaborative (CPQCC) database. We audio recorded interviews over phone or remote conferencing software or by written survey. We coded and analyzed transcripts and survey responses. While describing disaster preparedness, equipment (such as bassinets and backpacks), ambulance access/transport and documentation/charting were noted as important and essential. Teamwork, willingness to do other tasks that are not part of typical job descriptions, and unconventional strategies contribute to the success of keeping NICU babies safe when California wildfire strikes. Healthcare teams developed ingenious and surprising ways to evacuate NICU babies.

Development of Patient Evacuation Resource Classification System (PERC) Using Systems Engineering to Assist Hospital Evacuations in a Disaster

The aim of this study was the development of a decision-support tool capable of identifying the most appropriate transportation and local area coalition bed space (resources) for patient evacuations during a crisis. Introduction of the new concept of dichotomous tables and how they are incorporated into the Patient Evacuation Resource Classification (PERC) system. The methods used were Systems Engineering fundamentals to conduct a requirements analysis of the process, develop a new construct guided by functional analysis, design an evidence-based model that accurately identifies patient resource requirements translatable to resource capabilities, and create a prototype for a proof of concept. Research resulted in the PERC system prototype. The PERC system prototype created by this research allows for system testing under a Solomon four-group design simulation with the participation of leading medical, emergency response, academic, consulting industry, and logistics professionals from the Washington, DC, metropolitan area.