Hostname: page-component-76fb5796d-wq484 Total loading time: 0 Render date: 2024-04-25T15:58:20.165Z Has data issue: false hasContentIssue false

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

Published online by Cambridge University Press:  07 April 2022

Kazunori Imai*
Affiliation:
Department of Pediatrics and Neonatology, Nagoya City University Graduate School of Medical Sciences, Nagoya, Japan Clinical Department of Emergency Medicine, Nagoya City University Hospital, Nagoya, Japan
Tomoko Suzuki
Affiliation:
Department of Pediatrics and Neonatology, Nagoya City University Graduate School of Medical Sciences, Nagoya, Japan
Satoko Fukaya
Affiliation:
Department of Pediatrics and Neonatology, Nagoya City University Graduate School of Medical Sciences, Nagoya, Japan
Yuko Karasawa
Affiliation:
Nursing Department, Nagoya City University Hospital, Nagoya, Japan
Yoko Bando
Affiliation:
Graduate School of Integrated Science and Technology, Shizuoka University, Shizuoka, Japan
Daisuke Sawaki
Affiliation:
Graduate School of Integrated Science and Technology, Shizuoka University, Shizuoka, Japan
Yuko Araki
Affiliation:
Department of Informatics, Graduate School of Integrated Science and Technology, Shizuoka University, Shizuoka, Japan
Shinji Saitoh
Affiliation:
Department of Pediatrics and Neonatology, Nagoya City University Graduate School of Medical Sciences, Nagoya, Japan
Osuke Iwata
Affiliation:
Department of Pediatrics and Neonatology, Nagoya City University Graduate School of Medical Sciences, Nagoya, Japan
*
Correspondence: Kazunori Imai, Department of Pediatrics and Neonatology, Nagoya City University Graduate School of Medical Sciences, 1-Kawasumi, Mizuho-cho, Mizuho-ku, Nagoya, Aichi 467-0001, Japan, E-mail: k.imai@med.nagoya-cu.ac.jp

Abstract

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.

Type
Original Research
Copyright
© The Author(s), 2022. Published by Cambridge University Press on behalf of the World Association for Disaster and Emergency Medicine

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Task Force of the Japanese Society for Prematurity and Neonatal Medicine and the Liaison Committee on Neonatal Care. Procedures for Restoring the Neonatal Medical System in the Event of a Disaster. http://jsnhd.or.jp/pdf/tejyunsho_ver3.pdf. Published 2020. Accessed September 15, 2021.Google Scholar
Stroud, MH, Trautman, MS, Meyer, K, et al. Pediatric and neonatal interfacility transport: results from a national consensus conference. Pediatrics. 2013;132(2):359366.CrossRefGoogle Scholar
The NHS England Emergency Preparedness Framework. Emergency preparedness, resilience and response (EPRR), planning for the shelter and evacuation of people in healthcare settings. https://www.england.nhs.uk/ourwork/eprr. Published 2015. Accessed September 27, 2021.Google Scholar
Barfield, WD, Krug, SE; Committee on Fetus and Newborn; Disaster Preparedness Advisory Council. Disaster preparedness in neonatal intensive care units. Pediatrics. 2017;139(5):e20170507.CrossRefGoogle ScholarPubMed
Cohen, R, Murphy, B, Ahern, T, Hackel, A. Regional disaster planning for neonatology. J Perinatol. 2010;30(11):709711.CrossRefGoogle ScholarPubMed
Espiritu, M, Patil, U, Cruz, H, et al. Evacuation of a neonatal intensive care unit in a disaster: lessons from Hurricane Sandy. Pediatrics. 2014;134(6):e16621669.CrossRefGoogle Scholar
Ma, AL, Cohen, RS, Lee, HC. Learning from wildfire disaster experience in California NICUs. Children (Basel). 2020;7(10):155.Google ScholarPubMed
Femino, M, Young, S, Smith, VC. Hospital-based emergency preparedness: evacuation of the neonatal intensive care unit-the smallest and most vulnerable population. Pediatr Emerg Care. 2013;29(1):107113.CrossRefGoogle ScholarPubMed
Lin, A, Taylor, K, Cohen, RS. Triage by resource allocation for inpatients: a novel disaster triage tool for hospitalized pediatric patients. Disaster Med Public Health Prep. 2018;12(6):692696.CrossRefGoogle ScholarPubMed
Benson, M, Koenig, KL, Schultz, CH. Disaster triage: START, then SAVE-a new method of dynamic triage for victims of a catastrophic earthquake. Prehosp Disaster Med. 1996;11(2):117124.CrossRefGoogle Scholar
Kawase, A, Iwata, O, Kondo, H. Lessons from the Kumamoto Earthquake: loss of function of a large-scale comprehensive perinatal medical center and emergency evacuation of hospitalized newborn infants. J Jpn Pediatr Soc. 2017;121:10671074.Google Scholar
Kawase, A. Actual and problems of pediatric and perinatal activities during disaster in the 2016 Kumamoto earthquake: newborns. Syusankiigaku. 2019;49:12461249.Google Scholar
Yamamoto, S, Karasawa, Y, Nishio, T. Validity of a disaster triage system for newborn infants hospitalized at neonatal intensive care units. J Jpn Acad Neonatal Nurs. 2021;27:4350.Google Scholar
Gray, JE, Richardson, DK, McCormick, MC, Workman-Daniels, K, Goldmann, DA. Neonatal therapeutic intervention scoring system: a therapy-based severity-of-illness index. Pediatrics. 1992;90(4):561567.CrossRefGoogle ScholarPubMed
Wu, PL, Lee, WT, Lee, PL, Chen, HL. Predictive power of serial neonatal therapeutic intervention scoring system scores for short-term mortality in very-low-birth-weight infants. Pediatr Neonatol. 2015;56(2):108113.CrossRefGoogle ScholarPubMed
Iwata, O, Kawase, A, Iwai, M, Wada, K. Evacuation of a tertiary neonatal center: lessons from the 2016 Kumamoto Earthquakes. Neonatology. 2017;112(1):9296.CrossRefGoogle Scholar
Johnson, EM, Diekema, DS, Lewis-Newby, M, King, MA. Pediatric triage and allocation of critical care resources during disaster: northwest provider opinion. Prehosp Disaster Med. 2014;29(5):455460.CrossRefGoogle ScholarPubMed
Janvier, A, Leblanc, I, Barrington, KJ. Nobody likes preemies: the relative value of patients’ lives. J Perinatol. 2008;28(12):821826.CrossRefGoogle Scholar
Supplementary material: Image

Imai et al. supplementary material

Imai et al. supplementary material 1

Download Imai et al. supplementary material(Image)
Image 4 MB
Supplementary material: Image

Imai et al. supplementary material

Imai et al. supplementary material 2

Download Imai et al. supplementary material(Image)
Image 4 MB
Supplementary material: Image

Imai et al. supplementary material

Imai et al. supplementary material 3

Download Imai et al. supplementary material(Image)
Image 4 MB
Supplementary material: Image

Imai et al. supplementary material

Imai et al. supplementary material 4

Download Imai et al. supplementary material(Image)
Image 4 MB