Disaster Medicine Triage (2024)

Disaster Medicine Triage

by Parker Maddox, Hassan Khuram & Scott Goldstein

A Brief Introduction to Disaster Medicine

Disaster Medicine is a medical discipline that centers around events significant enough that, without external aid, emergency departments (ED) would not be able to adequately provide care to those affected [1]. For example, a multi-vehicle car accident may result in multiple casualties, but would not be considered a disaster if the responding medical infrastructure was able to handle the influx of patients. Many entities including the United Nations International Strategy for Disaster Reduction (UNISDR) and the World Health Organization (WHO) have amended their definitions of the term “disaster” to specify occurrences that exceed a community’s ability to cope with the effects of said disaster [2,3]. Incidents that have satisfied this requirement include natural disasters and more modern occurrences such as water contamination, human conflict, chemical spills, radiation, power outages resulting in infrastructure collapse, etc. [1]. The field of disaster medicine operates with the goal of aiding with these disaster-level events and all of the associated medical, logistical, and ethical issues that come along with them [4].

This is accomplished through a joint effort by many disciplines within healthcare including emergency medicine (EM), Emergency Medical Services, pediatrics, public health, social work, and many more [5]. However, emergency medicine providers’ experience in high acuity, large patient volume settings set them up to take a leadership role in disaster medicine. The emergency department is also typically the first point of contact between patients and health care providers in a disaster setting providing emergency medicine physicians an advantage in these responses [6]. In addition to their traditional responsibilities of stabilization and disposition of disaster patients, EM physicians are typically delegated the responsibilities of coordinating disaster response as chief medical officer, interfacing with government and community relief efforts, and directing disaster triage efforts [6].  

Disaster Triage

When a disaster occurs, hospital systems experience what is known as a critical care surge. This is defined as “any increase in the number of critically ill or injured patients beyond the baseline rate a hospital or critical care unit usually experiences.” [7]. These surges are classified based on the size of the critical patient increase with disasters typically causing large surges or megasurges. Megasurges are caused by grand scale, unexpected disaster events (tsunamis, earthquakes, terrorist attacks, etc.) and can require greater than 200% of the resource capacity a hospital has to care for patients [7]. This dramatic scarcity of resources in the face of overwhelming casualties results in an inevitable need to ration resources.
 

According to the World Health Organization, “triage” is the rapid examination and sorting of patients into groups according to their medical needs and the availability of resources [8]. In this setting of mass casualties and resource scarcity, disaster triage protocols are governed by the utilitarian concept of doing the greatest good for the greatest number[9]. As opposed to routine triage seen in the ED, this requires a shift of focus from the outcomes of single patients to outcomes on a population level [7].

However, despite the common misconception, disaster triage is not simply making the decision of whether to treat a patient or not. Disaster triage is more complex with most decisions centering around what level of treatment a patient should receive [7]. Rarely is it decided or even proposed that a patient should receive no treatment at all [7]. The consensus within disaster medicine is that disaster triage should optimize patient care and resource allocation by considering the incremental improvement in survival that a treatment would provide a patient in their current condition[10]. In order to make these decisions, the foundation of disaster triage lies in the use of triage tools and protocols to systematically assess patient conditions and prognoses following these devastating events. With proper triage and resultant treatment, it has been shown that trauma patients can experience at least a 25% reduction in mortality [11]. In disaster settings where hundreds to thousands of lives hang in the balance, 25% is not an insignificant number.

Measures of Success: Undertriage and Overtriage

Prior to discussing the wide array of triage methods used in disasters, it is pertinent to describe the terms used describe and assess them. Triage efficacy is typically judged by its validity, or how accurate the acuity assigned during triage, by tool or clinical assessment, is to the actual acuity of the patient. In order to measure this validity, we rely on rates of undertriage and overtriage observed during real world scenarios (Table 1) [12].

Concept

Definition

Impact

Sensitivity & Specificity

Acceptable Rate

Undertriage

Patient condition is classified as a lower acuity than it actually is.

Patients are under prioritized, under treated, and providers may miss savable lives.

Low sensitivity

Low (<5-10% of patients)

Overtriage

Patient condition is classified as a higher acuity than it actually is.

Patients are overtreated leading to disorganization, misallocation of scarce resources, and wasting time that could be used to save other patients.

Low specificity

Variable depending on context (25-35% and others 50-60%)

Table 1:  Definitions, major impacts, relationships to sensitivity and specificity, and acceptable rates of overtriage and undertriage [11, 12, 13, 15, 17].

Undertriage

Undertriage is when a patient’s condition or injury is under classified in terms of acuity, and the patient is under prioritized or under treated as a result. This results in situations where critically ill patients could have benefited from a justifiable use of resources to further evaluate and treat their injuries [13, 14]. An example of this could be a severely injured patient that was transferred to a non-trauma center, or a patient that could have survived with prioritized evacuation and admission to the ICU or OR. However, it is worth noting that moderately injured patients are the most often undertriaged since severe acuity patients are more easily recognized [11]. Nonetheless, these are essentially missed opportunities to save patients and, statistically, this would represent a low sensitivity of the triage process. Therefore, there is a low tolerance for undertriage with most entities recommending an acceptable undertriage level of less than 5-10% of patients [15].

Overtriage

Overtriage is defined as the inaccurate classification of a patient as high priority or acuity when their injuries are actually non-urgent [11].  A classic example of overtriage would be when a stable, non-critical patient is unnecessarily expedited ahead of sicker patients for a surgery they do not acutely require. According to Foley and Reisner, another form of overtriage is when patients with little to no chance of surviving receive aggressive medical treatment, inappropriately allocating scarce resources [13]. Compared to undertriage, overtriage represents a poor specificity and complicates triage by creating disorganization that misallocates time and resources [14,16]. In the setting of a disaster, overtriage can be just as dangerous as undertriage as this misallocation can take away scarce resources and time that could be used to save other patients. The acceptable level of overtriage is more debated, with some sources recommending 25-35% [15] and others 50-60% of patients [13].

The reason for less stringency surrounding acceptable overtriage rates is due to the influence the two rates have on each other. Overtriage and undertriage do not exist independently of one another and demonstrate an inverse relationship [13]. As overtriage rates increase and patients are treated more liberally, undertriage rates decrease as less savable patients are missed. Therefore, when faced with the decision of overallocating resources or missing a potential savable life, most entities recommend maintaining a higher allowance for overtriage in order to reduce undertriage. Previously, it was reported that 50% of overtriage was required to reduce the rate of undertriage to 0% [17], but more recently that recommendation has been decreased to 25-35% [15] due to the detrimental effects higher overtriage can have on triage efforts with minimal decrease in undertriage rates [11, 18].

However, when applying these rules to real life disaster triage, it is important to also factor in the environment and working conditions of the disaster. The amount of acceptable overtriage and undertriage in a mass casualty event should change depending on resources and casualties present [13]. For example, in a scenario where casualties are few and resources are plenty, the risks of raising the overtriage rate are outweighed by the benefit of possibly reducing undertriage as there would be little chance of running out of resources or time. On the other hand, in a grand scale disaster where resources are extremely limited, a lower overtriage rate would be acceptable, despite the possible increase in undertriage, due to the higher likelihood of running out of resources and time. Therefore, it is imperative in disaster triage to always perform an initial survey of the amount of casualties and resources available in order to form an educated plan to maximize the greatest benefit for the greatest number of people [19].

Primary, Secondary, and Tertiary Triage

In comparison to traditional triage in an ED, disaster victims are triaged multiple times throughout their medical course beginning at the site of the incident and continuing through possible admission to the ICU or OR. These multiple points of reevaluation account for the evolving nature of disasters over time in terms of resource availability, treatment delays, and injury progression or resolution [20]. Triage in the setting of mass casualties can be broken down into three different types: primary, secondary, and tertiary triage (Table 2). These different classifications differ based on the triage timing, location, and what level of care is being addressed [19, 21, 22].

Primary Triage

Primary triage occurs at first contact with patients after a disaster [22]. This can occur at the scene of the disaster, or any other setting outside of the hospital including an area away from the incident [19]. The goal of primary triage is to establish the priority of injured patients for on-site treatment and evacuation to the nearest available hospital [21]. This can also include decisions such as routing patients to trauma versus non-trauma centers or performing life saving measures in the field [7, 19]. Primary triage is regarded as the most critical stage in the disaster triage process with the greatest potential to save lives and influence population outcomes [21, 23]. As a result, many different tools and methods for primary triage have been developed and primary triage will be the major focus of this chapter [14]. The tools and specifics of primary triage will be discussed in more detail in the Triage Tools section.

Secondary Triage

Secondary triage is the second evaluation of patients’ condition and overall acuity. This occurs upon patient arrival to the hospital and commonly takes place in the emergency department [21]. However, the level of care being addressed in secondary triage changes depending on the context of the disaster and the resulting bottlenecks in ED patient care. If it is a mass casualty event involving patients with highly acute complaints such as trauma, then secondary triage will focus on prioritizing patients for initial stabilizing measures in the ED [7]. Alternatively, if the disaster takes a less acute and more extended course, such as the Coronavirus Disease 2019 pandemic, then secondary triage will focus on determining disposition of patients from the ED after the initial stabilization has been performed. The disposition prioritization can include what patients are admitted to the hospital, transferred to more specialized areas within the ED, or discharged home [19, 21]. Secondary triage is especially vital when evacuation from the site of a disaster is prolonged resulting in a large influx of deteriorating patients arriving to the hospital [22].

Tertiary Triage

Tertiary triage is the third evaluation of patients involved in a disaster taking place after initial stabilization or hospital admission. This also occurs within the hospital, but does not need to be in the ED [19]. Tertiary triage is when questions of definitive care are addressed and prioritized such as ICU admission, surgery, and other procedures including those performed by interventional radiology [21]. This final form of triage is typically performed by a physician with critical care training or a surgeon [22]. This is also a chance to reassess continued medical management of severe patients in the setting of dwindling resources such as continuing life support measures or additional treatment after poor prognostic laparoscopic findings [19]. In disasters with fewer critical patients with life threatening injuries, tertiary triage is less utilized [7].

Triage

Timing

Location

Level of Care (LOC)

Primary Triage

First patient contact

At the scene of the disaster

Determines the priority order for treatment in the field and emergency transport. Can also prioritize patients to be transported to trauma vs. non-trauma centers.

Secondary Triage

Second evaluation upon entry into the hospital

In the emergency department

Determines priority order for resuscitation in the ED and disposition after stabilization

Tertiary Triage

After initial treatment and stabilization in the ED

Anywhere in the hospital, not restricted to the ED

Determines the priority order for definitive care including ICU admission, surgery, or transfer to a higher-level facility,

Table 2: Definitions, timing, location, and level of care being decided on for the three levels of triage: primary, secondary, and tertiary [19, 21, 22].

How to Triage: Primary Triage Classification & Tools

Classification

How to properly perform primary triage in the field of a disaster has been a highly contentious area of research since before the establishment of disaster medicine [14]. In non-disaster level traumas, most medical providers in North America minimize their pre-hospital evaluation and treatment in favor of more expedient transportation to the hospital[24]. This is known as “scoop and run” and restricts pre-hospital treatment to Basic Life Support (BLS) with minimal classification of patient acuity. “Scoop and run” has been proven to have significant benefits in terms of trauma outcomes[24, 25], but more rigid triage systems are typically utilized in disasters to expedite patient prioritization, minimize uncertainty, and maximize effective use of resources to do the “greatest good for the greatest number” [26].

Globally, differing disaster triage tools and systems are implemented without any clear consensus in the literature on their efficacy [21]. However, one commonality among the majority of these systems is the four-level classification schema they use to group and prioritize disaster victims [26, 27]. First proposed by the World Medical Association (WMA), this system categorizes disaster victims into four different groups based on their acuity and how urgently they require medical intervention (Table 3) [26]. The literature labels these groups in various manners including by triage tag color (red, yellow, green, black), urgency of required treatment (emergency/immediate, delayed, minimal, expectant), or their priority level (P1, P2, P3, P4) [13, 21, 26, 28].

The immediate/emergency group consists of patients who are in critical condition, but can still be saved with immediate treatment within, at most, the next few hours. A red triage tag is commonly used to label this group [28].

The delayed patients are those who are not experiencing an imminent threat to their life, but urgent, definitive medical care will be required at some point. These patients are often labeled with a yellow triage tag [26].

The minimal group are sometimes referred to as the “walking well” or “walking wounded” and have the least severe injuries [27, 29]. These nicknames stem from the fact that most patients in the minimal group can walk following the incident. Various triage tools will even use the ability to ambulate in their algorithms since multiple studies have shown that walking following a disaster is a strong indicator of a relatively low risk patient with a good prognosis [22, 30]. These patients are labeled with a green triage tag and often require only minimal treatment that can be delayed until the rest of the patient categories have been treated.

The final category, deemed expectant, is marked with a black triage tag, and is made up of patients that are either dead or critically ill to the point that efforts to save them are deemed futile. This classification is typically made in situations where the patient’s condition is beyond treatment or when the complex treatment required to save the patient would be putting other patients at risk by misallocating already limited time and resources [21, 26]. It is important to acknowledge that this can be an especially difficult classification for providers to make. The WMA has addressed this by releasing a statement expressing that “It is unethical for a physician to persist, at all costs, at maintaining the life of a patient beyond hope, thereby wasting to no avail scarce resources needed elsewhere.[31]” However, as disasters are fluid and ever-evolving, it is the responsibility of a triage to repeatedly reassess the situation including reviewing the priority designations previously assigned to patients [28].

Table 3 Priority number, color, name, and description for the four commonly used triage tags [21, 26, 28, 30].

Table 3: Priority number, color, name, and description for the four commonly used triage tags [21, 26, 28, 30].

Tools

Despite a consensus on what priority groupings are used to sort patients during a disaster, how to place patients in each grouping is still highly divisive. The literature has been unable to provide any significant evidence for or against specific triage strategies resulting in a wide array of disaster triage systems used internationally [14, 21, 22]. In the 1980’s, formal triage scoring systems were developed for primary triage that categorized patients based on objective measures. The most used scoring systems are the Revised Trauma Score (RTS) and Champion’s Trauma Score (CTS), both of which utilize a patient’s Glasgow Coma Scale (GCS), systolic blood pressure, and respiratory rate to calculate a total score that sorts patients into the appropriate priority groupings [32]. However, triage scoring systems have been shown to not be as efficacious in the pre-hospital setting since objective measures of vital signs do not always correlate with clinical condition. As a result, triage scores have demonstrated poor sensitivity in the field and there have been instances where normal vital signs masked critical illness in disaster patients resulting in undertriage [13, 32]. Additionally, vital signs taken at the scene of a disaster are not always reliable due to various confounding variables and can create provider uncertainty in the field [32]. Therefore, triage scoring systems have fallen out of favor in disaster triage and this chapter will focus on the use of multi-tier triage algorithms.

Formalized triage algorithms are a set of rigid, pre-determined decision trees that quickly guide providers through the initial assessment of disaster victims in the field [14]. Triage algorithms base their decision making more in components of clinical presentation such as ability to ambulate and breathe rather than objective measures. These algorithms tend to be more suitable for mass casualty disasters as they minimize the time spent making active decisions and are easy to learn in a restricted amount of time [13]. The disadvantage of these algorithms is their lack of flexibility. As discussed previously in the Measures of Success: Undertriage and Overtriage section, it is important to be able to tailor your protocol, and subsequently your over and undertriage rates, depending on the number of casualties and the availability of resources. However, the rigid procedure of these algorithms does not allow for modifications of treatment criteria when time and resources are more plentiful [13]. Many algorithms have been developed with slightly different applications based on patient demographics, mechanism of the disaster, geography, etc. [14]. Due to the sheer number of triage algorithms currently available, this chapter will focus on the most used primary triage tools in disaster medicine: the Simple Triage and Rapid Treatment (START) and Sort, Assess, Lifesaving interventions, Treatment/Transport (SALT) algorithms.

The Simple Triage and Rapid Treatment (START) triage algorithm was originally developed as a result of joint efforts between a California Fire department, Marine department, and medical providers in 1983 [33].  This was one of the first triage systems developed outside of the military and, following its conception, the Domestic Preparedness Program of the Department of Defense made it standard practice in disaster events [28]. It is now the most prolific mass casualty triage system used in the United States [27].

The START triage algorithm was designed as an expedient triage system that would be easily teachable to emergency providers with minimal training [26]. The objective of the system is the be able to evaluate patients older than eight years old within 30-60 seconds and triage them into one of the four priority groupings discussed previously: immediate/emergency (red), delayed (yellow), minimal (green), expectant (black) [14, 27]. This is accomplished through strict criteria looking at patient ambulation, respiratory rate, radial pulse, mental status, and capillary refill, though many versions of START no longer assess capillary refill due to variabilities from the environment [13, 22, 33].

As depicted in Figure 5, the initial step of START is to prompt patients to walk [27]. If a patient can walk following a disaster, this has been shown to be an indicator of low risk and good prognosis [22, 30]. Therefore, patients who can walk are immediately classified as minimal, green, or priority 1. Following this initial step, the remaining non-minimal patients are evaluated based on their respiration, perfusion, and finally mental status. Examples of methods used to assess mental status during START triage include asking patients to perform simple command such as opening and closing their eyes or squeezing a hand [34]. A Yellow tag or delayed status is assigned to all patients that were not originally deemed minimal, but meet the respiratory, perfusion, and mental status criteria set by START. An easy mnemonic to remember the parameters looked at by START is “RPM:30-2-can do”, with RPM standing for Respiration,Perfusion, Mental status. The second portion “30-2-can do” are the associated cut off values for each category: > 30 respirations per minute, presence of radial pulse or capillary refill <2 seconds, and can follow simple commands [26, 27].

Figure 1 START Algorithm to triage patients based on severity

Figure 1: START Algorithm to triage patients based on severity [22, 28].

Though there is little research analyzing the overall efficacy of START, the triage system has demonstrated higher overtriage rates in more critically ill patients during a disaster [28]. In a study by Kahn et. al, START was shown to have an overall accuracy of 44.6% in assigning the correct acuity level for patients. Upon further analysis, START was shown to perform well when identifying patients in the minimal category, with the walk test demonstrating accurate prognostic predictions [35].  However, the triage system experienced higher levels of overtriage (53.38%) in the two more critical patient categories with a significant number of patients inappropriately being placed in the immediate/emergency classification when they belonged in the delayed category [35].

The Sort, Assess, Lifesaving interventions, Treatment/Transport (SALT) algorithm was designed to unify the many existing triage algorithms. Due to a significant lack of research surrounding the efficacy of these triage tools, the Center for Disease Control and Prevention (CDC) assembled a committee in 2008 to combine the most effective features of the current mass triage algorithms into a national standard [22, 28]. This resulted in a new triage algorithm that is very similar to START, but with some key differences. SALT performs a more comprehensive triage of patients of all ages by performing multiple stages of sorting and prioritization with opportunities for reassessment [27]. Additionally, SALT prioritizes life-saving interventions by incorporating them into the triage algorithm leaving less room for hesitancy and uncertainty [13]. The protocol and unique features of SALT can be further elucidated by breaking down what SALT stands for.

            Sort refers to the first step, unique to the SALT protocol, which entails an initial sorting of patients into three groups, prior to formal evaluation, to determine what order patients should be clinically assessed. This pre-sorting is based on their ability to ambulate and perform simple commands (Figure 2) [36]. If patients are able to ambulate, then they are placed in the “Walk” or “Able to walk” group. These patients will be assessed last due to the low risk associated with the ability to ambulate [22, 30]. Patients who are unable to walk, but are able perform purposeful movements such as waving will be placed in the “Wave” or “Able to make purposeful movements category” and assessed second. Finally, patients who have obvious life-threatening injuries or remain still despite prompts to walk or wave are placed in the “Still” or “Severely injured” category. These patients will be clinically evaluated first [27].

Figure 2. Step 1 of SALT algorithm to prioritize who to clinically assess first

Figure 2: Step 1 of SALT algorithm to prioritize who to clinically assess first [22, 27, 28].

The Assess and Lifesaving interventions steps come next and are performed almost simultaneously. Assessrepresents the clinical evaluations that are performed after the three priority groupings have been established during the Sort step. This step is looking for any life-threatening injuries that require immediate stabilization [14]. As threats to life are found during this evaluation, the Lifesaving interventions step calls for immediate medical intervention during triage to stabilize these patients. These interventions typically include opening the airway, hemorrhage control, needle thoracostomy for pneumothoraxes, and antidote auto-injection for poisoning [14, 22].

The last phase of SALT, Treatment/Transport, requires an additional evaluation of patients following lifesaving interventions in order to place patients in the same four priority classifications for evacuation and definitive treatment utilized in START (Figure 3). This step affords the triage an opportunity to reassess patients following life-saving interventions and factor in their response [14]. This reassessment involves many of the same parameters looked at in START including breathing, mental status, and peripheral pulse. However, it also includes a step to consider the patient’s condition in the setting of the resources available [22]. Similar to START, once the patients have been sorted and tagged, they are transported and treated according to their priority group.

Figure 2 Step 2 of SALT algorithm [31, 36, 37].

Figure 3: Step 2 of SALT algorithm [31, 36, 37].

SALT has taken over as one of the major triage algorithms used in disasters and is endorsed by numerous entities including the American College of Surgeons Committee on Trauma, American Trauma Society, National Association of EMS Physicians, National Disaster Life Support Education Consortium, American College of Emergency Physicians, and more [36]. Studies have already begun to show that SALT provides more accurate triaging when compared to START and other triage systems [37, 38]. On the other hand, some studies have observed high levels of overtriage in SALT, similar to those seen in START, and even instances of high undertriage [28, 37, 38]. However, it is important to keep in mind that no clear conclusions can be drawn regarding SALT’s efficacy until more research is performed.

Summary

Disaster Medicine Triage focuses on managing medical care during events that overwhelm local emergency departments, necessitating additional aid. Definitions of “disaster” have evolved to describe situations beyond a community’s coping capability, encompassing natural and man-made incidents like water contamination and power outages. Emergency Medicine, among other healthcare disciplines, plays a crucial role, particularly in disaster response coordination and triage, aiming to do the best possible care for the greatest number. Triage, a core component, involves sorting patients based on their medical needs versus resource availability. With mass casualties, effective use of resources becomes inevitable, underpinning the need for efficient triage to optimize care and resource allocation, emphasizing the utilitarian principle of maximizing survival on a population level.

Authors

Picture of Parker MADDOX BA, MS

Parker MADDOX BA, MS

Parker Maddox is a fourth-year medical student at Sidney Kimmel Medical College at Thomas Jefferson University in Philadelphia. He graduated from the University of Virginia with a double major in Biology and Chemistry and went on to obtain a master’s degree in Biophysics and Physiology at Georgetown University. Since arriving to medical school, Parker has developed a passion for Emergency Medicine and has performed research on a wide range of topics including early sepsis recognition, pandemic viruses including Coronavirus 2019 and Monkeypox, ischemic stroke, Bell’s palsy, and international ECMO critical care protocol. This work has yielded multiple publications and a presentation at the Society for Academic Emergency Medicine (SAEM) 2022 Conference.

Picture of Hassan KHURAM BS, MS

Hassan KHURAM BS, MS

Hassan Khuram is a 4th year medical student at Drexel University College of Medicine, with a background in psychology, biotechnology, and business of healthcare. He graduated Magna Cum Laude with a Bachelor of Science in Psychology from Virginia Commonwealth University and a Master of Science in Biotechnology from Georgetown University. He is passionate about neurocritical care, medical education, and bioethics. He has an extensive background in research, having conducted studies on various subjects, including substance misuse, Parkinson's disease, mindfulness meditation and more. He has published articles on neurological emergencies and ethical issues in neurological care.

Picture of Scott GOLDSTEIN, DO, FACEP, FAEMS, FAAEM, EMT-PHP

Scott GOLDSTEIN, DO, FACEP, FAEMS, FAAEM, EMT-PHP

Dr. Scott Goldstein started his medical career at New York College of Osteopathic Medicine in New York where he received his Doctorate of Osteopathy and continued his training at Einstein Healthcare Network in the field of  Emergency Medicine, Philadelphia. Dr. Goldstein is dual-boarded through the American Board of Emergency Medicine in Emergency Medicine and Emergency Medicine Services (EMS). He currently works at a Level 1 academic trauma center, Temple University Hospital, in Philadelphia where he is the Chief of EMS and Disaster Medicine. He has continued to be an active member of the education community and EMS community where he holds the title of Fellow of American College of Emergency Medicine through ACEP, Fellow of the Academy of Emergency Medical Services through NAEMSP and Fellow of the American Academy of Emergency Medicine through AAEM.  His current academic title is one of Clinical Associate Professor of Emergency Medicine at Lewis Katz School of Medicine at Temple University. 

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  33. START Adult Triage Algorithm – CHEMM. Accessed April 16, 2023. https://chemm.hhs.gov/startadult.htm
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  36. SALT Mass Casualty Triage: Concept Endorsed by the American College of Emergency Physicians, American College of Surgeons Committee on Trauma, American Trauma Society, National Association of EMS Physicians, National Disaster Life Support Education Consortium, and State and Territorial Injury Prevention Directors Association. Disaster med public health prep. 2008;2(4):245-246. doi:10.1097/DMP.0b013e31818d191e
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Reviewed By

Picture of Arif Alper Cevik, MD, FEMAT, FIFEM

Arif Alper Cevik, MD, FEMAT, FIFEM

Prof Cevik is an Emergency Medicine academician at United Arab Emirates University, interested in international emergency medicine, emergency medicine education, medical education, point of care ultrasound and trauma. He is the founder and director of the International Emergency Medicine Education Project – iem-student.org, chair of the International Federation for Emergency Medicine (IFEM) core curriculum and education committee and board member of the Asian Society for Emergency Medicine and Emirati Board of Emergency Medicine.

COVID-19; Reflecting on a Globalized Response

COVID-19; Reflecting on a Globalized Response

As I write this is, it has been 200 days since the first reports in China came out regarding an unspecified viral illness in Wuhan, China. What is now the pandemic of COVID-19 has spread around the world, and in history books and our collective memory, the year 2020 will forever be closely associated with this virus. There have been nearly 14 million confirmed cases around the world and nearly 600,000 known deaths from COVID-19. Some countries have done incredibly well with containment measures, while others continue to see case counts grow every day.

It has been fascinating to see how the outbreak has had different impacts in communities around the world, including how local and global responses have efficiently controlled or been unable to contain this novel public health problem. Prevention and mitigation strategies continue to form the foundation of public health management of this outbreak. The capacity for any country or locality to provide the most invasive supportive care is widely variable, and even when it is available mechanical ventilation is certainly not a panacea as COVID-19 case-survival rates in those being mechanically ventilated have been low (from 14% to 25%).

At the core of the variable outcomes seems to be a mix of sociological issues: a mix of personal beliefs, geography, politics, socio-economics and health infrastructure which lead to vastly different outcomes around the globe.

The accumulation of more epidemiological data over the past 200 days has improved our collective understanding of the COVID-19 virus, as today we have improved models and a better understanding of the rates of asymptomatic carriers (estimated at 40%) and mortality rates (1.4%-15.4%). Yet still, uncertainties and local variability (even within countries) have made an accurate calculation of the COVID-19 basic reproductive number (R0; the number of people who are infected by a single disease carrier) difficult. In the early stage of the outbreak in Wuhan, R0 calculation ranged from 1.4-5.7, and some have suggested that instead of single R0 value, modellers should consider using ongoing contact tracing to gain a better range of transmissibility values.

We have seen how prevention strategies such as hand-washing, face-masking, and physical distancing can impact local and disseminated disease spread. While many communities have come together through a collective approach to lock-downs and universal masking measures, other localities have struggled to get adequate levels of citizen compliance. Others have struggled with obtaining testing supplies. Certain political systems allow for streamlined and unified directives while others have made it difficult to provide adequate centralized coordination.

As the COVID-19 pandemic has spread to almost every country in the world, outbreaks are smoldering in much of the global south. While the United States continues to see rising numbers of cases with numerous states confronting ongoing daily record high incident cases, other countries such as Brazil are seeing similar upward trends. At the global level, the curve of daily incident cases seemed to have “flattened” and held steady through much of April and into May with aggressive seemingly worldwide measures. However, since the last days of May, global incident cases have been again steadily increasing. This is likely due to a variety of reasons but is linked, at least in part, to efforts to reopen economies and return to pre-pandemic routines and lifestyles.

covid-19 daily cases
Source: Johns Hopkins University Coronavirus Resource Center https://coronavirus.jhu.edu/map.html, accessed July 17, 2020

As an American citizen and a physician with training in public health, it has been both interesting and frustrating to see the how some countries (including my own) have had deficiencies in dealing with testing and basic prevention (such as mandatory universal masking). While I don’t want to engage in political rhetoric or cast blame in any one place, I do think it is instructive to point out that in the United States (or anywhere else for that matter) the sociological factors of personal preferences and autonomy, geography, and local politics have had an overwhelming influence in determining the progress of the pandemic.

Quarantining has always been a unique problem that sits at the intersection of personal autonomy and communal wellbeing, and is implemented and respected by citizens in different ways around the world. It would seem, at least anecdotally, that cultures with an emphasis on personal independence and autonomous choice have had greater difficulty with containment or in obtaining high levels of compliance with masking and distancing measures, even when compared to other localities with similar socio-economic situations.

These sociological factors are key to responding to and managing any epidemic health concern. We have come to see that in our globalized world, our ability and desire to work together towards a common goal, even at the cost of personal sacrifice, will determine our ability to control both the COVID-19 pandemic and the next health crisis of the future.

Public health education and communication, it would seem, is at the crux to getting collective buy-in and global participation.

Unfortunately, as with so many things these days, such issues can be easily politicized and cause fractured and disparate approaches to response. In our globalized world, this coronavirus outbreak is unlikely to be the last public health crisis we must face as a worldwide community.

As thoughts turn towards what is to come, from vaccine development and distribution to numerous long-term economic impacts, we are not nearing the end of this outbreak yet.

The incidence curve is growing, and there is much work left to be done. My hope is that as we move into the second half of 2020, our global community can continue to find ways to improve communication and coordination in order to come together to approach and control this pandemic collectively. The fate of this outbreak, and likely the next, hangs in the balance.

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A Medical Student’s Encounter with Disaster

a medical student's encounter with disaster

25th April 2015

A 7.8 magnitude earthquake struck Nepal on 25th April 2015, affecting 35 of the 77 districts of Nepal and causing a death toll of over 8000 lives with 22,309 people reported as injured and an estimated 2.8 million displaced. The following article is based on the first-hand experience of a then fourth-year medical student from Patan Academy of Health Sciences, a tertiary care center in Lalitpur District, one of the worst-hit districts in Nepal.

Rescue work following 7.8 Richter scale earthquake. Image by Omar Havana via https://www.theatlantic.com/photo/2015/04/nepal-after-the-earthquake/391481/
Rescue work following 7.8 Richter scale earthquake. Image by Omar Havana via https://www.theatlantic.com/photo/2015/04/nepal-after-the-earthquake/391481/

Reflection

25th April 2015, started off as a casual Saturday morning. At the boy’s hostel, everyone was preparing for the inter-medical college football tournament which was to start off that day, until the first jolt changed plans for the whole day and many more days to come. Our first response was to rush out of the hostel and make sure our family members and friends were okay. Just as all of us were frantically, unsuccessfully so, trying to contact our families, a friend of mine came running and informed that all medical students were to go to the hospital with their aprons. We had not even considered going to the hospital until my friend arrived; maybe because none of us had faced such a situation before or because we were yet to come back to our right state of mind.

Students ready to receive disaster victims. Image by Online Khabar via http://www.pahs.edu.np/patan-hospital-earthquake-disaster-relief-fund/photo-gallery/
Students ready to receive disaster victims. Image by Online Khabar via http://www.pahs.edu.np/patan-hospital-earthquake-disaster-relief-fund/photo-gallery/

As we reached the hospital, it was already flooded with injured patients from the disaster. Everyone started doing what they could. Some started giving analgesics to people who were agonized by the pain, some started talking and trying to calm down people who were on the verge of hyperventilation, some took gauge pieces and pressed it against the bleed on people’s head and some helped in patient transportation. There were a lot of people doing a lot of things, but neither was I in very observant state of mine nor could I recall enough now to mention the minute details. One thing I remember with absolute clarity is that me and my friends (as I found out in the after talks) forgot that we were trying to contact our families when we were called.

Medical students providing Tetanus Toxoid injection to victims. Image via http://www.pahs.edu.np/patan-hospital-earthquake-disaster-relief-fund/photo-gallery/
Medical students providing Tetanus Toxoid injection to victims. Image via http://www.pahs.edu.np/patan-hospital-earthquake-disaster-relief-fund/photo-gallery/

A lady was lying on the floor, covered with mud, she wasn’t moving at all. My friend and I suspected she was seriously injured but didn’t see any obvious wound from where we were standing. We went near and tried to feel the carotid pulse. Never in my life had I even remotely imagined that one day I will confuse whether or not the carotid pulse is present. But there I was. I didn’t feel the pulse, but I was reluctant to admit that she didn’t have one; so we decided to ask one of our teachers. We did and got the obvious answer. Now we were to put the black tag on her and take her to the black area. She was the first to be taken to the black triage. Before putting her down from the stretcher, we took the pulse again. It was one of my first encounters with death declaration.

I came out of the front door and was among a lot of injured patients; nerve wrecked students and doctors trying to help people in the best possible way. It was then that most of us remembered that we hadn’t contacted out families yet; maybe sadness had taken over our survival instinct or maybe we were learning to keep our professional duties up ahead. This continued for the day and the next day was nearly the same; only a little more organized. Basically, the name of the game for the couple of days that followed was help in all that you are capable of.

Apart from being the most traumatizing experience of our life until now, this earthquake also taught us some lessons and profoundly so. I knew that survival instinct takes over everything at first when you perceive a threat to our life; however, once you are just out of the instinct and see before you, the circumstance that you are trained to deal with, you prioritize things and work in the line of your training.

Survival instinct takes over everything at first when you perceive a threat to our life...

Students raising awareness to prevent possible outbreaks. Image via http://www.pahs.edu.np/patan-hospital-earthquake-disaster-relief-fund/photo-gallery/
Students raising awareness to prevent possible outbreaks. Image via http://www.pahs.edu.np/patan-hospital-earthquake-disaster-relief-fund/photo-gallery/

a need for disaster curriculum to be rigorously taught to every medical student.

One thing that I realized while trying to help the casualties that will help me every time I sit to study is: no matter how much you memorize stuff until you really understand something well, you won’t be able to use the knowledge when it is most needed. The disaster drill that we performed a few months before the disaster helped us make sense of triage, proper transportation and of what was happening. I realized the importance of training and keeping myself updated on skills that we need at times when we are less likely to think rationally. Also, I felt a need for disaster curriculum to be rigorously taught to every medical student. Medical students formed an important workforce during this disaster. Having occurred on the weekend, medical students were the most readily and adequately available resource. However, with limited knowledge and skill, medical students left to work unsupervised are prone to cause harm to themselves and patients; hence proper training and work delegation are required so that they can become a better-skilled workforce.

This was yet another example for me to ponder and reinforce upon myself that not everything will go on as planned; hence, I need to keep myself updated and work on my improvising skills. This event as devastating as it was also made me feel proud of what I am training to become and instilled in me more passion towards my profession.

Further Reading

  • World Health Organization, Regional Office for South-East Asia. Nepal earthquake 2015: an insight into risks: a vision for resilience. New Delhi, India: World Health Organization, SEARO; 2016. Available from: https://apps.who.int/iris/handle/10665/255623
  • Sheppard PS, Landry MD. Lessons from the 2015 earthquake (s) in Nepal: implication for rehabilitation. Disability and Rehabilitation. 2016 Apr 23;38(9):910-3.
  • Nepal earthquake of 2015 – link
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