Hostname: page-component-78c5997874-8bhkd Total loading time: 0 Render date: 2024-11-12T22:19:21.778Z Has data issue: false hasContentIssue false

Sudden-Onset Disaster Mass-Casualty Incident Response: A Modified Delphi Study on Triage, Prehospital Life Support, and Processes

Published online by Cambridge University Press:  07 September 2023

Joe Cuthbertson*
Affiliation:
CRIMEDIM – Center for Research and Training in Disaster Medicine, Humanitarian Aid, and Global Health, Università del Piemonte Orientale, Novara, Italy Monash University Disaster Resilience Initiative, Monash University, Clayton VIC Australia
Eric Weinstein
Affiliation:
CRIMEDIM – Center for Research and Training in Disaster Medicine, Humanitarian Aid, and Global Health, Università del Piemonte Orientale, Novara, Italy
Jeffrey Michael Franc
Affiliation:
CRIMEDIM – Center for Research and Training in Disaster Medicine, Humanitarian Aid, and Global Health, Università del Piemonte Orientale, Novara, Italy Department of Emergency Medicine, University of Alberta, Edmonton, AB, Canada
Peter Jones
Affiliation:
Assistance Publique – Hópitaux de Paris (APHP), SAMU de Paris Hôpital Necker, Paris, France
Hamdi Lamine
Affiliation:
CRIMEDIM – Center for Research and Training in Disaster Medicine, Humanitarian Aid, and Global Health, Università del Piemonte Orientale, Novara, Italy Department for Sustainable Development and Ecological Transition, Università del Piemonte Orientale, Vercelli, Italy
Sabina Magalini
Affiliation:
Department of Surgery, Catholic University of the Sacred Heart, Policlinico Gemelli, Rome, Italy
Daniele Gui
Affiliation:
Department of Neurosciences, Catholic University of the Sacred Heart, Policlinico Gemelli, Rome, Italy
Kristina Lennquist
Affiliation:
Department of Neurosciences, Catholic University of the Sacred Heart, Policlinico Gemelli, Rome, Italy
Federica Marzi
Affiliation:
Department of Neurosciences, Catholic University of the Sacred Heart, Policlinico Gemelli, Rome, Italy
Alessandro Borrello
Affiliation:
Department of Neurosciences, Catholic University of the Sacred Heart, Policlinico Gemelli, Rome, Italy
Pietro Fransvea
Affiliation:
Department of Neurosciences, Catholic University of the Sacred Heart, Policlinico Gemelli, Rome, Italy
Andrea Fidanzio
Affiliation:
Department of Neurosciences, Catholic University of the Sacred Heart, Policlinico Gemelli, Rome, Italy
Carlos Yanez Benítez
Affiliation:
Department of Surgery, San Jorge University Hospital, Huesca, Spain
Gerhard Achaz
Affiliation:
London Ambulance Service NHS Trust, London, London, United Kingdom
Bob Dobson
Affiliation:
London Ambulance Service NHS Trust, London, London, United Kingdom
Nabeela Malik
Affiliation:
University Hospitals Birmingham NHS Trust, Edgbaston, Birmingham, United Kingdom
Michael Neeki
Affiliation:
Clinical Professor of Emergency Medicine, Arrowhead Regional Medical Center, Colton, California USA; Professor of Medical Education, California University of Science and Medicine, Colton, California USA
Ronald Pirrallo
Affiliation:
Department of Emergency Medicine, Prisma Health University of South Carolina School of Medicine Greenville, Greenville, South Carolina USA
Rafael Castro Delgado
Affiliation:
Health Service of the Principality of Asturias (SAMU-Asturias), Health Research Institute of the Principality of Asturias (Team Leader of the Research Group on Prehospital Care and Disasters, GIAPREDE), Oviedo, Spain Department of Medicine, Oviedo University, Oviedo, Spain
Giacomo Strapazzon
Affiliation:
Institute of Mountain Emergency Medicine, Eurac Research, Bolzano, Italy; University of Padova, Padova, Italy; International Commission for Mountain Emergency Medicine, Zurich, Switzerland
Marcelo Farah Dell’Aringa
Affiliation:
CRIMEDIM – Center for Research and Training in Disaster Medicine, Humanitarian Aid, and Global Health, Università del Piemonte Orientale, Novara, Italy
Hermann Brugger
Affiliation:
Institute of Mountain Emergency Medicine, Eurac Research, Bolzano, Italy; Medical University Innsbruck, Innsbruck, Austria; International Commission of Mountain Emergency Medicine-ICAR MedCom, Zurich, Switzerland
Chaim Rafalowsky
Affiliation:
Department of General Surgery, Hadassah Medical Center and Faculty of Medicine, Hebrew University of Jerusalem, Israel
Marcello Marzoli
Affiliation:
Department of Fire Service, Public Rescue and Civil Defence, Ministero dell’Interno, Rome, Italy
Giovanni Fresu
Affiliation:
Department of Surgery, Catholic University of the Sacred Heart, Policlinico Gemelli, Rome, Italy
Knut Magne Kolstadbraaten
Affiliation:
Department of Traumatology, Oslo University Hospital – Ullevaal, Oslo, Norway
Stenn Lennquist
Affiliation:
Department of Neurosciences, Catholic University of the Sacred Heart, Policlinico Gemelli, Rome, Italy
Jonathan Tilsed
Affiliation:
London Ambulance Service NHS Trust, London, London, United Kingdom
Ilene Claudius
Affiliation:
Department of Emergency Medicine, Harbor-UCLA, Torrence, California USA
Piyapan Cheeranont
Affiliation:
Faculty of Medicine, Praboromarajchanok Institute, Ministry of Public Health, Nonthaburi, Thailand
Rachel Callcut
Affiliation:
University of California Davis Department of Surgery, Sacramento, California USA
Miklosh Bala
Affiliation:
Department of Fire Service, Public Rescue and Civil Defence, Ministero dell’Interno, Rome, Italy
Anthony Kerbage
Affiliation:
Department of Internal Medicine, Hôtel-Dieu de France hospital, Beirut, Lebanon
Luis Vale
Affiliation:
Department for Sustainable Development and Ecological Transition, Università del Piemonte Orientale, Vercelli, Italy
Norman Philipp Hecker
Affiliation:
ESTES—European Society for Trauma and Emergency Surgery, Disaster and Military Surgery Section, Milan, Italy
Roberto Faccincani
Affiliation:
ESTES—European Society for Trauma and Emergency Surgery, Disaster and Military Surgery Section, Milan, Italy
Luca Ragazzoni
Affiliation:
CRIMEDIM – Center for Research and Training in Disaster Medicine, Humanitarian Aid, and Global Health, Università del Piemonte Orientale, Novara, Italy Department for Sustainable Development and Ecological Transition, Università del Piemonte Orientale, Vercelli, Italy
Marta Caviglia
Affiliation:
CRIMEDIM – Center for Research and Training in Disaster Medicine, Humanitarian Aid, and Global Health, Università del Piemonte Orientale, Novara, Italy Department of Translational Medicine, Università del Piemonte Orientale, Novara, Italy
*
Correspondence: Joseph Cuthbertson CRIMEDIM Università del Piemonte Orientale, Novara, Italy Monash University Disaster Resilience Initiative Monash University, Clayton VIC Australia E-mail: [email protected]
Rights & Permissions [Opens in a new window]

Abstract

The application and provision of prehospital care in disasters and mass-casualty incident response in Europe is currently being explored for opportunities to improve practice. The objective of this translational science study was to align common principles of approach and action and to identify how technology can assist and enhance response. To achieve this objective, the application of a modified Delphi methodology study based on statements derived from key findings of a scoping review was undertaken. This resulted in 18 triage, eight life support and damage control interventions, and 23 process consensus statements. These findings will be utilized in the development of evidence-based prehospital mass-casualty incident response tools and guidelines.

Type
Original Research
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
Copyright
© The Author(s), 2023. Published by Cambridge University Press on behalf of the World Association for Disaster and Emergency Medicine

Introduction

Increasing frequency and magnitude of disasters bring to light the constantly emerging risks and the planetary health-related consequences of their impact. Reference Field1,Reference Burkle2 Consequently, a more integrated approach to prevent and quickly respond to the threat of hazards becoming sudden-onset disasters and mass-casualty incidents is urgently needed. Reference Palliyaguru, Amaratunga and Baldry3,Reference Lavell and Maskrey4 Within this goal, the Horizon 2020 Novel Integrated Toolkit for Enhanced Prehospital Life Support and Triage in Challenging and Large Emergencies (NIGHTINGALE) project has been established to support preparedness of first responders during sudden-onset disasters and mass-casualty incidents through the description of evidence-based guidelines for mass-casualty incident triage, prehospital life support and damage control interventions, and prehospital processes together with the creation of a series technological tools that will enhance the first responders capabilities. Reference Caviglia, Cuthbertson, Sdongos, Faccincani, Ragazzoni and Weinstein5 The need to improve the preparedness and capability of first responders to plan for and respond to these events is consistent with published findings identifying that triage and organization in mass-casualty incidents is a prehospital research priority. Reference Delgado, Gonzalez, Martinez, Alvarez and Gonzalez6 This goal is consistent with the Sendai Framework for Disaster Risk Reduction, which identifies the need to improve health system resilience and develop local capacity at all health levels in reducing and addressing disaster risk. 7 The nature of sudden-onset disasters that produce mass-casualty incidents creates challenges in conducting research, such as randomized control trials and conventional prospective studies, due to the unpredictable and uncontrolled nature of the events that lead to more exploratory research methodologies being applied in many cases. Reference Stratton8,Reference Stratton9 To overcome this, a modified Delphi study has been conducted to answer the research question: What are the common denominators in the provision of mass-casualty incident triage, prehospital life support and damage control, and prehospital processes to enhance operational capacities during the prehospital management of mass-casualty incidents? Reference Weinstein, Cuthbertson and Herbert10

A Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews (PRISMA-ScR) scoping review was performed Reference Hsu and Sandford11 that extracted and synthesized the evidence base of mass-casualty incident triage, prehospital life support and damage control, and prehospital processes. The findings of this scoping review informed the development of statements utilized in this modified Delphi method study. This expert-based method is widely used to reach consensus and explore assumptions and alternatives. Reference Delbecq, Van de Ven and Gustafson12Reference Alshehri, Rezgui and Li14 This study aimed to produce mass-casualty incident triage, prehospital life support and damage control, and prehospital process consensus statements that will be incorporated in the third stage development of evidence-based prehospital mass-casualty incident response tools and guidelines.

Methods

The modified Delphi technique used in this study differs from the standard Delphi approach of using an open questionnaire to retrieve expert data from which these experts offer to create statements (Figure 1). Once statements are created, these experts provide their opinions to achieve group consensus in subsequent Delphi stages. Reference McGowan, Straus and Moher15 The modification of this study applied the outcomes of a previously conducted PRISMA-ScR scoping review to capture data related to the research topic in a robust, valid manner. Reference Weinstein, Cuthbertson, Ragazzoni and Verde16

Figure 1. Modified Delphi Flowchart.

Abbreviations: PHLSDC, prehospital life support and damage control interventions; PHP, prehospital processes; LSDC, life support and damage control interventions; NIGHTINGALE, Novel Integrated Toolkit for Enhanced Prehospital Life Support and Triage in Challenging and Large Emergencies.

Data retrieved has been analyzed and synthesized into three initial sets of statements, brought to the attention of internal focus groups (IFGs) and external focus groups (EFGs) to produce the final Delphi statements (Figure 1).

Three IFGs for mass-casualty incident triage, prehospital life support and damage control, and prehospital processes were conducted in parallel in January and February 2022. Participants comprised expert practitioners and researchers in mass-casualty incident response. Experts were engaged in three parallel one-hour video conferences and then exchanged drafts via email to review the three sets of draft statements produced from the scoping review, to render them clear, concise, and consistent with the objectives of NIGHTINGALE.

To reduce risk of bias from the statement creation process, three EFGs were conducted. Participants included international experts not engaged in the NIGHTINGALE project, comprising practitioners and researchers in the field of mass-casualty incident triage, prehospital life support and damage control, and prehospital processes, who were identified as authors of relevant references discovered during the scoping review, or members of scientific societies, namely the European Society for Trauma and Emergency Surgery (ESTES; Vienna, Austria), the World Association for Disaster and Emergency Medicine (WADEM; Madison, Wisconsin USA), and the National Association of Emergency Medical Services Physicians (NAEMSP; Atlanta, Georgia USA). Experts participated in three parallel one-hour video conferences and then exchanged drafts via email, intending to ensure that the three sets of statements met the specifics of the Delphi format, that statements are preferred over questions, and that one statement discusses one fact.

Delphi Rounds

The three expert round modified Delphi were conducted from March 14 through April 11, 2022 using the Stat59 platform (STAT59 Services Ltd; Edmonton, Alberta, Canada). Recruited experts included operational first responders, academic researchers identified among the authors of included scoping review references, alumni of the European Master of Disaster Medicine (EMDM), and members of the professional scientific societies that were not focus group participants from ESTES, WADEM, and NAEMSP as experts in the field of either mass-casualty incident triage, prehospital life support and damage control, or prehospital processes. Experts that did not meet these criteria were excluded.

In the present research, the rationale underlying the selection of experts was based on their geographic distribution and the heterogeneity of the overall group of experts in terms of domains of expertise to establish geographic coverage and a balanced distribution of expertise related to disaster management practices considered.

Following the methodology of Weinstein, et al, 17 experts who agreed received a formal explanation of the modified Delphi, and the first modified Delphi round questionnaire with 25 triage, 27 prehospital life support and damage control, and 28 prehospital process statements with instruction to rank each statement on a seven-point linear numeric scale with one = “Strongly Disagree” to seven = “Strongly Agree” and four demographic questions. Consensus among experts was defined as a standard deviation (SD) ≤1.0.

Statements that attained consensus after this first expert round were included in the final report, while those that were not in agreement but reached consensus were removed from further consideration. Statements not reaching consensus advanced to the second expert round. For this second expert round (and subsequent rounds if required), the mean response of the experts for the remaining statements and their own response for each of them were displayed. The experts were asked to reconsider their seven-point linear numeric scale. The final report lists all statements reaching consensus.

The McLeod Health Institutional Review Board Office (Florence, South Carolina USA) has determined that this study does meet the exemption criteria found at 45 CFR 46.104(d)(2). Reference Bazyar, Farrokhi and Khankeh18

Data Analysis

Descriptive statistics of the mean and SD were calculated. The response rate was calculated as the percentage of experts who responded in each round (Table 5).

Results

Sixty-two (62) international experts were recruited to participate in the modified Delphi study. Recruitment demographic characteristics of the recruited experts are presented in Table 1. The outcomes of the three modified Delphi expert rounds are illustrated in Table 2.

Table 1. Demographic Characteristics of Delphi Experts

Abbreviation: PHLSDC, prehospital life support and damage control interventions; PHP, prehospital processes; EMT, emergency medical technician.

Table 2. Modified Delphi Statement Consensus Outcomes

The consensus outcomes of this study were 18 mass-casualty incident triage, eight prehospital life support and damage control, and 23 prehospital process statements, as shown in Table 3.

Table 3. Triage, Prehospital Life Support and Damage Control, and Prehospital Process Statements that Achieved Consensus

Abbreviations: EMT, emergency medical technician; CBRN, Chemical, Biological, Radiological, and Nuclear; UAV, unmanned aerial vehicle.

The statements that did not reach consensus outcomes of this study were six triage statements, 17 prehospital life support and damage control statements, and five prehospital processes statements, as shown in Table 4.

Table 4. Triage, Prehospital Life Support and Damage Control, and Prehospital Process Statements that Did Not Achieve Consensus with SD >1.0 after Three Delphi Expert Rounds

Abbreviation: CBRNE, Chemical, Biological, Radiological, Nuclear, and Explosives

Table 5. Delphi Expert Response Rate

a This Round 1 expert offered their opinion on 5/17 statements of which five reached group consensus and 12 did not reach consensus.

b More experts participated in the second round.

c Some experts left the third round after participating in the second round.

This study produced nine statements that reached a consensus that referred to components of mass-casualty incident triage systems. Key themes of triage practices that the statements identified included the following:

  • A singular triage system should be consistently applied by the agency or agencies and be inclusive of all ages and populations.

  • First responders’ initial triage should be simplified and done without the aid of diagnostic equipment, and it should produce a clear indicator of the patient triage category.

  • Mass-casualty incident triage is an on-going process clinically guided, and priority categories should be revised with frequent re-assessments guided by patient clinical status after response to life support and damage control interventions, which should change accordingly to the response to these interventions as more resources become available with the goal to achieve priority transportation.

Additionally, six triage statements met consensus with themes of triage application accuracy, first responder agency competency, and protocol to develop clinical triage key performance indicators. There was limited consensus of statements on practice related to prehospital life support and damage control theme. Of the 27 statements, only eight met consensus, of which respondents were in favor of guideline development for pain relief, documentation of care, rapid vascular access utilizing intraosseous access, hypotension management, scope of care, and outcomes measurement. Key areas of treatment guidance that did not meet statement consensus included first responder/first response agency hemorrhage treatment; Chemical, Biological, Radiological, Nuclear, and high yield Explosive (CBRNE) treatment; hypothermia treatment; and smoke inhalation treatment and monitoring.

Regarding the statements that attained consensus, the need for each first response agency to develop guidelines, education, and training on management of permissive hypotension, rapid vascular access, crush injury management, and pain relief were specifically related to treatment.

Prehospital processes refer to the organizational structures and operational management practices that coordinate deployment and utilization of resources, patient response, dispatch and transport, and non-clinical activities that organize prehospital capability to mass-casualty incident response. This study achieved consensus on 23 of the 28 statements that underwent modified Delphi review.

Discussion

The expert consensus triage, prehospital life support and damage control, and prehospital process statements produced in this modified Delphi study inform the development of toolkits and clinical guidelines to respond to mass-casualty incidents to meet the NIGHTINGALE project objectives.

Triage

Mass-casualty incident triage findings produced by this study are congruent with observed challenges or absence of validation of triage systems in mass-casualty incidents. Validation of triage practices has been predominantly informed by practice in daily care of traumatic patients rather than mass-casualty incidents. The challenge in doing so lies in the fact that the profile of daily practice circumstances is totally different. Delgado, et al have published findings of a triage system calculated from patients involved in a mass-casualty incident showing both sensitivity and specificity of tool accuracy. Reference Delgado, Gan, García and González19

Consensus of the participants of this modified Delphi study proposed advancement of the current concept of mass-casualty incident triage, from the initial sorting of injured patients into a static triage category to a dynamic continuum of care. Achieving this would require continuous sorting of mass-casualty incident casualties as the resources of staff, stuff, and structure necessary to meet demand are deployed. The goal of mass-casualty incident triage is to identify those patients requiring life support and damage control interventions during all the phases of the priority transport to definitive care.

The importance of standardizing and employing a consistency in practice related to the continuum of mass-casualty incident triage is relevant when considering the existing literature, from which multiple mass-casualty incident triage practices developed globally have emerged. Bazyar, et al identified 20 different triage practices employed world-wide used for the initial assessment of mass-casualty incident victims with variations in sensitivity and sensitivity. Reference Kahn, Schultz, Miller and Anderson20 Such variance creates a risk of the potential use of multiple or differing methods, which may result in suboptimal decision making and resource allocation. Reference Kahn, Schultz, Miller and Anderson20 Compounding this, initial triage inaccuracy has been reported in research conducted by Kahn, et al who examined outcomes of Simple Triage and Rapid Treatment (START). Reference Cuttance, Dansie and Rayner21

In a mass-casualty incident with the mismatch between the demand of an unknown number of patients with unknown injuries and the dynamic accumulation of prehospital resources, the assignment of a triage category with re-assessments based on prehospital life support and damage control will change based on the treatment response and the volume of accumulating patients that are also undergoing treatment and re-assessments, which are competing for priority transport.

Priority transport decisions to various destinations in a mass-casualty incident are dynamic, as patients are not transported directly from the scene to the hospital. There are delays due to many factors with prehospital life support and damage control and other treatments to be administered in the field. The introduction of mass-casualty incident Key Performance Indicators, which examine the dynamic continuous sorting of patients to receive prehospital life support and damage control and priority transport, may enhance outcomes. Such practices have been considered; the findings of Gonzalos, et al resulted in the introduction of a “red surgical category,” which informs evacuation priority to the closest surgical hospital the respective patient may need. Reference González, Delgado and Álvarez22

The outcomes of a systematic review conducted by Marcussen, et al showed inconsistency in initial mass-casualty incident triage allocation and accuracy between system types SIEVE, Reference Cone, Serra and Kurland23 SMART Tag system, Reference Marcussen, Bräuner, Alstrøm and Møller24 and CareFlight. Reference Kennedy, Aghababian, Gans and Lewis25 The need for consistency in application is also supported by the accepted statement recommending triage education and training in this research. The application of resource-scarce mass-casualty incident triage is rarely a day-to-day skill of first responders; when required, staff should be conversant and skilled in its application to achieve the most significant outcome effect. Not having a robust education and training program risks inappropriate or inaccurate continuous triage, and as Kennedy, et al noted: “The disaster situation is not the time to try out a system for the first time.” Reference Lerner, Schwartz and Coule26 This finding is consistent with the outcomes of this study recommending that triage systems should be simple, easy to remember, amenable to quick memory aids, and just-in-time training for trained first responders. This encourages a jurisdiction to design or incorporate existing triage systems compatible with all first-responding agencies. The results of this modified Delphi study provide an opportunity to consider a nuanced approach to disaster triage that recognizes the context of population hazards and vulnerabilities. Further exploration of the efficacy in achieving and implementing this is warranted. Further insights on triage can be gathered by statements that did not achieve consensus. In particular, the modified Delphi participants did not reach consensus on statements related to monitoring. Given the focus of the NIGHTINGALE project technology developments, this finding is significant in the creation and development of any patient monitoring enhancements.

Prehospital Life Support and Damage Control

Of the three areas of practice investigated, prehospital life support and damage control achieved limited consensus on proposed statements comparative to triage and processes (eight statements versus 18 and 23, respectively). Where consensus was achieved related to treatment, it was confined to specific areas of practice (ie, crush and hypotension). Crush injury guidance in disasters has most often been examined in post-earthquake settings, resulting in the development of consensus statements to provide guidance. Reference Li, Qian and Liu27,Reference Gibney, Sever and Vanholder28 The findings of this modified Delphi study underpin the need for responder education, training, and guidance in the management of crush injury as a possible consequence in all disaster types, as tornadoes, building collapses due to terrorism and asymmetric warfare, faulty construction, and other causes create a risk of crush injuries.

The consensus achieved on statements related to permissive hypotension and rapid vascular access using intraosseous access suggests that focused trauma management is specifically recommended by the modified Delphi experts. This is pertinent as the type, frequency, and impact of sudden-onset disasters are changing, placing risk in new areas that may not have been previously identified in hazard vulnerability analysis. Multiple scene mass-casualty incidents following a targeted terror attack or mass-shooting events of civilian populations and asymmetrical warfare create a need for improved capability of first responders and health care workers in trauma management. In a comprehensive review on permissive hypotension used to treat hemorrhagic shock following trauma, Albreiki, et al discovered that it is both practical and safe to use permissive hypotension to treat hemorrhagic shock in prehospital and in-hospital settings. Reference Albreiki and Voegeli29 The study by Albreiki, et al recommended further trials to assess the effectiveness of this practice on survival rates, in conjunction with the statement from this study that achieved consensus research in field use for disaster response, is warranted. Reference Albreiki and Voegeli29

The available research and evidence related to the provision of analgesia in disasters to inform practice is limited.

Whilst several conference proceedings and medical texts describing the current state of evidence in this area or proposing treatment practices exists, there is limited literature exploring pain relief practice after sudden-onset disasters. Reference Zorab30Reference Malchow and Black36 Key areas of analgesia practice in contemporary research focus on use of nerve block interventions and ketamine as an analgesic agent in the field. Reference Lippert, Nagdev, Stone, Herring and Norris37Reference Stewart40 Stewart’s summary of potential options for consideration of field analgesia identifies need for further research and guidance on development of administration techniques suitable for field use and consideration of safe options of pain relief. Reference Geale41 This modified Delphi study recognizes and underpins the need for provision of analgesia in mass-casualty incident response and furthers the call for research to describe best practice and novel administration in resource-scarce mass-casualty incidents after sudden-onset disasters.

The need for obtaining patient consent was also identified by the modified Delphi experts. In the setting of a mass-casualty incident after a sudden-onset disaster, this is of particular significance in guidance to domestic and international response teams to inform an ethical response framework for care. Disaster ethics have been previously considered by Geale, et al as requiring further development and maturity that considers the scope of practice of responders and ensuring that the rights of the patient, including consent to treatment, are upheld in events resulting in mass-casualty incidents. Reference Chou, Chiang and Chen42

Prehospital Processes

Mass-casualty incident response prehospital processes are undergoing rapid change due to new and emerging technologies. Identification and adaptation of such technology adopted in other industries offers potential enhancement of existing prehospital response processes. Technological developments in telemedicine, artificial intelligence, drone technology, active shooter response, diagnostic equipment, and live data feeds of resource systems offer additional or enhanced tools to disaster responders. Such enhancements can potentially enable more effective priority transportation of patients with efficient and effective hospital distribution to match the patient with the most capable facility. Reference Aylwin, König and Brennan43 Equally, the learning gained from active shooter mass-casualty incidents offers opportunities to update prehospital response plans and processes. Reference Montano, de la Torre Díez, López-Izquierdo, Villamor and Martín-Rodríguez44

The use of mobile apps to support triage and patient assessment was explored in a systematic review by Montano, et al who found that the development of apps should ensure accessibility and continuity of care between prehospital and hospital providers and include treatment guidelines for responders. Reference Blair and Schwieit45 Of note, the use of telemedicine to support mass-casualty incident response did not meet consensus as a proposed statement in this modified Delphi. It was also noted that proper testing should be conducted before field implementation when technology is to be introduced. Contemporary research shows that incidents of active armed offenders, particularly active shooter mass-casualty incidents, has consequences in some jurisdiction. Reference Mariaselvam and Gopichandran46 Despite this, consensus was not achieved on statements related to active armed offender practice.

There was a difference in prehospital process statements achieving consensus regarding guidance for patient treatment by medical first responders versus first responders/first response agencies. This outcome may be related to the higher proportion of physicians participating in the modified Delphi proportionate to first responder participants. Defining futility of care did not reach consensus, mirroring the discussions across jurisdictions in many nations based on religious, cultural, and legal considerations. Mass-casualty incident crisis standards of care after sudden-onset disasters and allocation of scarce resources in such settings remains challenging for prehospital staff. The ethical application of such decisions has resulted in recommendations of establishing frameworks of practice a priori to sudden-onset disaster occurrence. However, the practical establishment of such, including clarity of decision making, remains needed in many situations. Reference Chou, Chiang and Chen42,Reference Dean and Payne47Reference Cere, Rezgui and Zhao50

Whilst a Delphi review identifies where consensus is achieved, which subsequently informs guidance for practice, statements that did not achieve consensus may be equally informative. Statements that did not achieve consensus were thematically centered around clinical practices and patient care interventions. Given that a high proportion of Delphi participants were health care practitioners from across a diverse geographical area, a lack of consensus on care warrants further exploration such that common practices desired in care are articulated. The lack of prehospital life support and damage control consensus is a finding and suggests an urgent need for the undertaking of robust research to establish a more substantial evidence base to guide prehospital life support and damage control in the mass-casualty incident resource-scarce environment when the number of patients and their injuries is unknown.

Strengths

Strengths of this project included the engagement of a diverse and international panel of participants of health care practitioners to participate in Delphi statement assessment and review.

Limitations

This review is limited to study design and methodology. This modified Delphi study utilized pre-selected data informed by a PRISMA-ScR scoping review of prehospital triage, life support and damage control interventions, and the inherent processes to develop draft statements, in contrast to the more standard approach of an open questionnaire to collect such data from experts. The limitations of this process may not have captured relevant references to collect data to incorporate into the creation of the initial draft Delphi statements.

No standard minimum number of experts required for a Delphi study is known, however Franc, et al have described support for a minimum of five. Reference Franc, Hung, Pirisi and Weinstein51 Furthermore, experts are often selected as a function of their availability to perform the Delphi process, the scope of the consultation, or their expertise in that field. Reference Alshehri, Rezgui and Li14 In addition, the selected number of experts needs to account for the fact that, from one round to another, the number of experts willing to participate can drop significantly. Reference Witkin and Altschuld52 Therefore, specific authors recommend the number of experts to be lower than 50, Reference Dalkey53 while others consider larger values. Reference McGowan, Straus and Moher15

In this modified Delphi study, there was an improved triage expert response and consistent prehospital life support and damage control expert response, with an inference that this had no bearing on the round-to-round consensus, with the final consensus attained based on stability of the statements not reaching consensus after three rounds. There is no way to know of the varied prehospital process expert response impacted round-to-round consensus with the final consensus attained based on stability of the statements not reaching consensus after three rounds.

Consequently, several methodological decisions were required, including the number of Delphi rounds undertaken, the threshold for defining consensus, and the selection of the experts for Delphi round participation. A common practice for Delphi studies is to cease further rounds when consensus is reached. Reference Witkin and Altschuld52 The optimal number of rounds and the acceptable level of consensus can vary depending on the number of expert participants and the a priori target of the Delphi process undertaken. Reference Witkin and Altschuld52,Reference Cyphert and Grant54

Conclusion

This project provided guidance to enhance mass-casualty incident response triage, prehospital damage and life support, and prehospital processes through the modified Delphi scientific process. The consensus statements, in addition to the data collected in the scoping review, will be utilized to inform the creation of mass-casualty incident response toolkits and clinical guidelines in the NIGHTINGALE project.

Conflicts of interest/funding

Jeffrey Michael Franc is the CEO and Founder of STAT59. All other authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. This study is supported by the NIGHTINGALE project ‘Novel InteGrated toolkit for enhanced prehospital life support and Triage IN challenging And Large Emergencies.’ This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No 101021957.

Acknowledgments

The authors thank the User Partners of the NIGHTINGALE Consortium and the User Advisory Board Members who provided their valuable inputs during the different steps of the project methodology. The authors would like to sincerely acknowledge the time and dedication of the expert Delphi participants, the support of ESTES and the Nightingale project team, and the input of subject matter expertise of Itamar Ashkenazi, Maddalena D’Urso, and Yael Vias Gvirsman in the achievement of this research.

References

Field, CB. Managing the Risks of Extreme Events and Disasters to Advance Climate Change Adaption: Special Report of the Intergovernmental Panel on Climate Change. Cambridge, United Kingdom: Cambridge University Press; 2012:p582.CrossRefGoogle Scholar
Burkle, FM Jr Future humanitarian crises: challenges for practice, policy, and public health. Prehosp Disaster Med. 2010;25(3):191199.CrossRefGoogle ScholarPubMed
Palliyaguru, R, Amaratunga, D, Baldry, D. Constructing a holistic approach to disaster risk reduction: the significance of focusing on vulnerability reduction. Disasters. 2014;38(1):4561.CrossRefGoogle ScholarPubMed
Lavell, A, Maskrey, A. The future of disaster risk management. Environmental Hazards. 2014;13(4):267280.CrossRefGoogle Scholar
Caviglia, M, Cuthbertson, JL, Sdongos, E, Faccincani, R, Ragazzoni, L, Weinstein, ES. An application example of translational science in disaster medicine: from grant to deliverables. Int J Disaster Risk Reduction. 2023;85:103518.CrossRefGoogle Scholar
Delgado, RC, Gonzalez, KA, Martinez, JAC, Alvarez, TC, Gonzalez, PA. Top research priorities in prehospital care in Spain. Prehosp Disaster Med. 2023;38(1):8187.CrossRefGoogle Scholar
Sendai Framework for Disaster Risk Reduction 2015-2030. UNDRR. https://www.undrr.org/publication/sendai-framework-disaster-risk-reduction-2015-2030. Accessed January 24, 2023.Google Scholar
Stratton, SJ. Is there a scientific basis for disaster health and medicine? Prehosp Disaster Med. 2014;29(3):221222.CrossRefGoogle Scholar
Stratton, SJ. Data sampling strategies for disaster and emergency health research. Prehosp Disaster Med. 2019;34(3):227229.CrossRefGoogle ScholarPubMed
Weinstein, ES, Cuthbertson, JL, Herbert, TL, et al. Advancing the scientific study of prehospital mass-casualty response through a translational science process: the T1 scoping literature review stage. Eur J Trauma Emerg Surg. 2023. Epub ahead of print.CrossRefGoogle Scholar
Hsu, CC, Sandford, BA. The Delphi Technique: making sense of consensus. Practical Assessment, Research, and Evaluation. 2007;12:10.Google Scholar
Delbecq, A, Van de Ven, A, Gustafson, DH. Group Techniques for Program Planning a Guide to Nominal Group and Delphi Processes. Michigan USA: University of Michigan; 1975.Google Scholar
Williams, PL, Webb, C. The Delphi technique: a methodological discussion. J Adv Nurs. 1994;19(1):180186.CrossRefGoogle ScholarPubMed
Alshehri, SA, Rezgui, Y, Li, H. Delphi-based consensus study into a framework of community resilience to disaster. Nat Hazards. 2015;75:22212245.CrossRefGoogle Scholar
McGowan, J, Straus, S, Moher, D, et al. Reporting scoping reviews-PRISMA ScR extension. J Clin Epidemiol. 2020;123:177179.CrossRefGoogle ScholarPubMed
Weinstein, ES, Cuthbertson, JL, Ragazzoni, L, Verde, M. A T2 translational science modified Delphi study: spinal motion restriction in a resource-scarce environment. Prehosp Disaster Med. 2020;35(5):538545.CrossRefGoogle Scholar
Office for Human Research Protections (OHRP). Exemptions (2018 requirements). HHS.gov. https://www.hhs.gov/ohrp/regulations-and-policy/regulations/45-cfr-46/common-rule-subpart-a-46104/index.html. Published December 15, 2021. Accessed January 24, 2023.Google Scholar
Bazyar, J, Farrokhi, M, Khankeh, H. Triage systems in mass-casualty incidents and disasters: a review study with a world-wide approach. Open Access Maced J Med Sci. 2019;7(3):482494.CrossRefGoogle Scholar
Delgado, RC, Gan, RK, García, VC, González, PA. Sensitivity and specificity of Spanish Prehospital Advanced Triage Method (META). Prehosp Disaster Med. 2022;37(3):321326.CrossRefGoogle Scholar
Kahn, CA, Schultz, CH, Miller, KT, Anderson, CL. Does START triage work? An outcomes assessment after a disaster. Ann Emerg Med. 2009;54(3):424430.e1.CrossRefGoogle Scholar
Cuttance, G, Dansie, K, Rayner, T. Paramedic application of a triage sieve: a paper-based exercise. Prehosp Disaster Med. 2017;32(1):313.CrossRefGoogle Scholar
González, PA, Delgado, RC, Álvarez, TC, et al. Ten years using the advanced triage model for out-of-hospital emergencies (META): the 2020 version. Emergencias. 2021;33(5):387391.Google Scholar
Cone, DC, Serra, J, Kurland, L. Comparison of the SALT and Smart triage systems using a virtual reality simulator with paramedic students. Eur J Emerg Med. 2011;18(6):314321.CrossRefGoogle ScholarPubMed
Marcussen, CE, Bräuner, KB, Alstrøm, H, Møller, AM. Accuracy of prehospital triage systems for mass-casualty incidents in trauma register studies - a systematic review and meta-analysis of diagnostic test accuracy studies. Injury. 2022;53(8):27252733.CrossRefGoogle ScholarPubMed
Kennedy, K, Aghababian, RV, Gans, L, Lewis, CP. Triage: techniques and applications in decision making. Ann Emerg Med. 1996;28(2):136144.CrossRefGoogle Scholar
Lerner, EB, Schwartz, RB, Coule, PL, et al. Mass-casualty triage: an evaluation of the data and development of a proposed national guideline. Disaster Med Public Health Prep. 2008;2 Suppl 1:S25S34.CrossRefGoogle Scholar
Li, W, Qian, J, Liu, X, et al. Management of severe crush injury in a front-line tent ICU after 2008 Wenchuan earthquake in China: an experience with 32 cases. Crit Care. 2009;13(6):R178.CrossRefGoogle Scholar
Gibney, RT, Sever, MS, Vanholder, RC. Disaster nephrology: crush injury and beyond. Kidney Int. 2014;85(5):10491057.CrossRefGoogle ScholarPubMed
Albreiki, M, Voegeli, D. Permissive hypotensive resuscitation in adult patients with traumatic hemorrhagic shock: a systematic review. Eur J Trauma Emerg Surg. 2018;44(2):191202.CrossRefGoogle ScholarPubMed
Zorab, J. Relief of Pain and Suffering in Disaster Situations. In: Resuscitation and Life Support in Disasters Relief of Pain and Suffering in Disaster Situations. Berlin, West Germany: Springer; 1980:p6365.CrossRefGoogle Scholar
Frey, R, Safar, P. Resuscitation and Life Support in Disasters. In: Relief of Pain and Suffering in Disaster Situations: Proceedings of the International Congress on Disaster Medicine. Mainz 1977, Part II. Berlin, West Germany: Springer-Verlag; 1980.CrossRefGoogle Scholar
Buckenmaier, CC. Acute pain management in field and disaster situations. In: Clinical Pain Management: Acute Pain. London, United Kingdom: CRC Press; 2008:p374388.CrossRefGoogle Scholar
McIssac, J, McQueen, K, Kucik, C. In: McIssac, J, (ed). Essentials of Disaster Anesthesia. Cambridge, United Kingdom: Cambridge University Press; 2020.CrossRefGoogle Scholar
Jackson, T, Pena, M, McQueen, K, Kucik, C. Pain in Disasters. In: McIsaac, J, (ed). Essentials of Disaster Anesthesia. Cambridge, United Kingdom: Cambridge University Press; 2020:143156.CrossRefGoogle Scholar
Theodosopoulou, P, Moutafi, M, Kalogridaki, M, et al. Acute pain management in the emergency and disaster setting, a narrative review of the literature. Regional Anesthesia Pain Medicine. 2022;47:A112A113.Google Scholar
Malchow, RJ, Black, IH. The evolution of pain management in the critically ill trauma patient: emerging concepts from the global war on terrorism. Crit Care Med. 2008;36(7 Suppl):S346S357.CrossRefGoogle ScholarPubMed
Lippert, SC, Nagdev, A, Stone, MB, Herring, A, Norris, R. Pain control in disaster settings: a role for ultrasound-guided nerve blocks. Ann Emerg Med. 2013;61(6):690696.CrossRefGoogle ScholarPubMed
Visser, E, Schug, SA. The role of ketamine in pain management. Biomed Pharmacother. 2006;60(7):341348.CrossRefGoogle ScholarPubMed
Levine, AC, Teicher, C, Aluisio, AR, et al. Regional Anesthesia for Painful Injuries after Disasters (RAPID): study protocol for a randomized controlled trial. Trials. 2016;17(1):542.CrossRefGoogle ScholarPubMed
Stewart, RD. Analgesia in the field. Prehosp Disaster Med. 1989;4(1):3134.CrossRefGoogle Scholar
Geale, SK. The ethics of disaster management. Disaster Prevention and Management. 2012;21(4)445462.CrossRefGoogle Scholar
Chou, C-C, Chiang, W-C, Chen, AY. Emergency medical response in mass-casualty incidents considering the traffic congestions in proximity on-site and hospital delays. Transport Res Part E Logist Transport Rev. 2022;158:102591.CrossRefGoogle Scholar
Aylwin, CJ, König, TC, Brennan, NW, et al. Reduction in critical mortality in urban mass-casualty incidents: analysis of triage, surge, and resource use after the London bombings on July 7, 2005. Lancet. 2006;368(9554):22192225.Google Scholar
Montano, IH, de la Torre Díez, I, López-Izquierdo, R, Villamor, MAC, Martín-Rodríguez, F. Mobile triage applications: a systematic review in literature and play store. J Med Syst. 2021;45(9):86.CrossRefGoogle ScholarPubMed
Blair, JP, Schwieit, KW. A study of active shooter incidents in the United States between 2000 and 2013. US Department of Justice; 2014. https://www.fbi.gov/file-repository/active-shooter-study-2000-2013-1.pdf/view. Accessed January 24, 2023.Google Scholar
Mariaselvam, S, Gopichandran, V. The Chennai floods of 2015: urgent need for ethical disaster management guidelines. Indian J Med Ethics. 2016;1(2):9195.Google ScholarPubMed
Dean, M, Payne, D. Disaster management: an ethical review and approach. International Journal of Emergency Management. 2013;9:(2)113126.CrossRefGoogle Scholar
Leider, JP, DeBruin, D, Reynolds, N, Koch, A, Seaberg, J. Ethical guidance for disaster response, specifically around crisis standards of care: a systematic review. Am J Public Health. 2017;107(9):e1e9.CrossRefGoogle ScholarPubMed
Committee on Guidance for Establishing Crisis Standards of Care for Use in Disaster Situations; Institute of Medicine. Crisis Standards of Care: A Systems Framework for Catastrophic Disaster Response. Washington, DC USA: National Academies Press; 2012.Google Scholar
Cere, G, Rezgui, Y, Zhao, W. Urban-scale framework for assessing the resilience of buildings informed by a Delphi expert consultation. Int J Disaster Risk Reduct. 2019;36:101079.CrossRefGoogle Scholar
Franc, JM, Hung, KK, Pirisi, A, Weinstein, ES. Analysis of Delphi study 7-point linear scale data by parametric methods: use of the mean and standard deviation. Methodological Innovations. 2023. Epub ahead of print.CrossRefGoogle Scholar
Witkin, BR, Altschuld, JW. Planning and Conducting Needs Assessments: A Practical Guide. Thousand Oaks, California USA: Sage Publications; 1996.Google Scholar
Dalkey, N. An experimental study of group opinion: the Delphi method. Futures. 1969;1(5):408426.CrossRefGoogle Scholar
Cyphert, F, Grant, W. The Delphi technique: a case study. Phi Delta Kappan. 1971;42:272273.Google Scholar
Figure 0

Figure 1. Modified Delphi Flowchart.Abbreviations: PHLSDC, prehospital life support and damage control interventions; PHP, prehospital processes; LSDC, life support and damage control interventions; NIGHTINGALE, Novel Integrated Toolkit for Enhanced Prehospital Life Support and Triage in Challenging and Large Emergencies.

Figure 1

Table 1. Demographic Characteristics of Delphi Experts

Figure 2

Table 2. Modified Delphi Statement Consensus Outcomes

Figure 3

Table 3. Triage, Prehospital Life Support and Damage Control, and Prehospital Process Statements that Achieved Consensus

Figure 4

Table 4. Triage, Prehospital Life Support and Damage Control, and Prehospital Process Statements that Did Not Achieve Consensus with SD >1.0 after Three Delphi Expert Rounds

Figure 5

Table 5. Delphi Expert Response Rate