In 2019, the World Health Organization (WHO) published the Health Emergency and Disaster Risk Management (H-EDRM) framework detailing how effective management of disasters, including mass-casualty incidents (MCIs), can be achieved through a whole-of-health system approach where each level of the health care system is involved in all phases of the disaster cycle. In light of this, a primary health care (PHC) approach can contribute to reducing negative health outcomes of disasters, since it encompasses the critical roles that primary care services can play during crises. Hospitals can divert non-severe MCI victims to primary care services by applying reverse triage (RT), thereby preventing hospital overloading and ensuring continuity of care for those who do not require hospital services during the incident.

This study explores the topic by reviewing the literature published on early discharge of MCI victims through RT criteria and existing referral pathways to primary care services.

A scoping literature review was performed and a total of ten studies were analyzed.

The results showed that integrating primary care facilities into disaster management (DM) through the use of RT may be an effective strategy to create surge during MCIs, provided that clear referral protocols exist between hospitals and primary care services to ensure continuity of care. Furthermore, adequate training should be provided to primary care professionals to be prepared and be able to provide quality care to MCI victims.

The results of this current review can serve as groundwork upon which to design further research studies or to help devise strategies and policies for the integration of PHC in MCI management.

The transfer rate for patients from an Alternate Care Site (ACS) back to a hospital may serve as a metric of appropriate patient selection and the ability of an ACS to treat moderate to severely ill patients accepted from overwhelmed health-care systems. During the coronavirus infectious disease 2019 (COVID-19) pandemic, hospitals worldwide experienced acute surges of patients presenting with acute respiratory failure.

An ACS in Imperial County, California was re-established in November 2020 to help decompress 2 local hospitals experiencing surges of COVID-19 cases. The patients treated often had multiple comorbid illnesses and required a median supplemental oxygen of 3 L/min (LPM) on admission. Numerous interventions were initiated during a 2-wk period to improve clinical care delivery.

The objectives of this retrospective observational study are to evaluate the impact of these clinical and staff interventions at an ACS on the transfer rate and to provide issues to consider for future ACS sites managing COVID-19 patients.

The data suggest that continuous, real-time process-improvement interventions helped reduce the transfer rate back to hospitals from 36.7% to 14.5% and that an ACS is a viable option for managing symptomatic COVID-19 positive patients requiring hospital-level care when hospitals are overburdened.

Many triage algorithms exist for use in mass-casualty incidents (MCIs) involving pediatric patients. Most of these algorithms have not been validated for reliability across users.

Investigators sought to compare inter-rater reliability (IRR) and agreement among five MCI algorithms used in the pediatric population.

A dataset of 253 pediatric (<14 years of age) trauma activations from a Level I trauma center was used to obtain prehospital information and demographics. Three raters were trained on five MCI triage algorithms: Simple Triage and Rapid Treatment (START) and JumpSTART, as appropriate for age (combined as J-START); Sort Assess Life-Saving Intervention Treatment (SALT); Pediatric Triage Tape (PTT); CareFlight (CF); and Sacco Triage Method (STM). Patient outcomes were collected but not available to raters. Each rater triaged the full set of patients into Green, Yellow, Red, or Black categories with each of the five MCI algorithms. The IRR was reported as weighted kappa scores with 95% confidence intervals (CI). Descriptive statistics were used to describe inter-rater and inter-MCI algorithm agreement.

Of the 253 patients, 247 had complete triage assignments among the five algorithms and were included in the study. The IRR was excellent for a majority of the algorithms; however, J-START and CF had the highest reliability with a kappa 0.94 or higher (0.9-1.0, 95% CI for overall weighted kappa). The greatest variability was in SALT among Green and Yellow patients. Overall, J-START and CF had the highest inter-rater and inter-MCI algorithm agreements.

The IRR was excellent for a majority of the algorithms. The SALT algorithm, which contains subjective components, had the lowest IRR when applied to this dataset of pediatric trauma patients. Both J-START and CF demonstrated the best overall reliability and agreement.

Mass-casualty incidents (MCIs), specifically incidents with chemical, biological, radiological, and nuclear agents (CBRN) or terrorist attacks, challenge medical coordination, rescue, availability, and adequate provision of prehospital and hospital-based emergency care. In the Netherlands, a new model for Mass Casualty and Disaster Management (MCDM) along with a Terror Attack Mitigation Approach (TAMA) was introduced in 2016.

The objective of this study was to provide insight in the first experiences of health policy advisors and managers with a medical rescue coordinator and ambulance nursing background regarding the new MCDM and TAMA in order to identify strengths and pitfalls in emergency preparedness and to provide recommendations for improvement.

The study had a qualitative design and was performed from January 2017 through June 2018. Purposeful sampling was used and the inclusion comprehended health policy advisors and managers with a medical rescue coordinator and ambulance nursing background involved in emergency preparedness. The respondents were interviewed semi-structured and the researchers used a topic list that was based on the literature and content of the newly introduced model and approach. All interviews were typed out verbatim and qualitative content analyzing was used in order to identify relevant themes.

Respondents based their perceptions on large-scale training exercises, as MCDM and TAMA were not yet used during MCIs. Perceived issues of MCDM were the two-tiered triage system, the change in focus from “stay and play” towards “scoop and run,” difficulties with new tasks and roles of professionals, and improvement in material provision. Regarding TAMA, all respondents supported the principles (do the most for the most; scoop and run; acceptable personal risk; never walk alone; and standard operational procedure); however, the definitions were lacking clarity while the awareness of optimal personal safety of professionals was absent.

As there are currently regional differences in the level of implementation of MCDM and TAMA, this may pose a risk for an optimal inter-regional collaboration.

The conclusions refer to experiences of professionals in the Netherlands. Elements of the MCDM and TAMA were highly appreciated and seemed to improve emergency preparedness, while other aspects needed further attention, training, and integration in daily routine. The Netherlands’ MCDM model and TAMA will need continuous systematic evaluation based on (inter)national performance criteria in order to underpin the useful and effective elements and to improve the observed pitfalls in emergency preparedness.

High profile terrorist attacks in major capital cities have seemingly become a regular occurrence and the resultant mass-casualty events continue to challenge health care systems. Counter-Terrorism Medicine (CTM) addresses unique terrorism-related issues relating to the mitigation, preparedness, and response measures to asymmetric, multi-modality terrorist attacks. This study is an epidemiological examination of all terrorism-related events sustained from 1970-2019, analyzing historical weapon types used and the resulting fatal injuries (FI) and non-fatal injuries (NFI) sustained.

The Global Terrorism Database (GTD) was searched for all attacks from 1970-2019. Attacks met inclusion criteria if they fulfilled the three terrorism-related criteria, as set by the GTD codebook. Ambiguous events were excluded. State-sponsored terrorist events do not meet the codebook’s definition, and as such, are excluded from the study. Available counts of FI and NFI in each incident were then sorted and aggregated by weapon type to enable mean and standard deviation calculations.

In total, 168,003 events were recorded from the years 1970-2019. Explosives, bombs, and/or dynamite (E/B/D) were the most commonly used weapon type and accounted for 48.78% of all terrorism events, followed by the use of firearms in 26.77% of events. A total of 339,435 FI and 496,225 NFI resulted from all terrorism events that occurred during the study period. Combined, E/B/D and firearms accounted for 75.55% of all events, 67.1% of all FI, and 79.3% of all NFI. Each individual terrorism event inflicted a mean FI rate of 2.14 FI per event (SD = 10.2) and a mean NFI rate of 3.22 NFI per event (SD = 45.19).

Although terrorism is complex and does not solely rely on death tolls as a measure of success, this analysis shows a historic mean FI rate of 2.14 and NFI rate of 3.22 per event over the past 50 years. Proven weapons such as E/B/D and firearms combine to account for over 75% of weapon types used in all events. Use of weapons of mass destruction (WMDs) such as chemical, biological, radiation, and nuclear (CBRN) weapons has been rare (0.2%), yet has extreme high potential to inflict mass casualties with mean NFI rates of 49.62 and 28.75 for chemical and biological weapons, respectively.

Terrorism-related deaths have fallen year after year since peaking in 2014, and whilst the coronavirus disease 2019 (COVID-19) pandemic has disrupted terrorist organizations capacity to conduct attacks and limited their potential targets, counter-terrorism experts believe this is a short-term phenomenon with serious concerns of an escalation of violence and events in the near future. This study aims to provide an epidemiological analysis of all terrorism-related mass-fatality events (>100 fatalities) sustained between 1970-2019, including historical attack strategies, modalities used, and target selection, to better inform health care responders on the injury types they are likely to encounter.

The Global Terrorism Database (GTD) was searched for all attacks between the years 1970-2019. Attacks met inclusion criteria if they fulfilled the three terrorism-related criteria as set by the GTD codebook. Ambiguous events were excluded. State-sponsored terrorist events do not meet the codebook’s definition, and as such, are excluded from the study. Data analysis and subsequent discussions were focused on events causing 100+ fatal injuries (FI).

In total, 168,003 events were recorded between the years 1970-2019. Of these, 85,225 (50.73%) events recorded no FI; 67,356 (40.10%) events recorded 1-10 FI; 5,791 (3.45%) events recorded 11-50 FI; 405 (0.24%) events recorded 51-100 FI; 149 (0.09%) events recorded over 100 FI; and 9,077 (5.40%) events recorded unknown number of FI.

Also, 96,905 events recorded no non-fatal injuries (NFI); 47,425 events recorded 1-10 NFI; 8,313 events recorded 11-50 NFI; 867 events recorded 51-100 NFI; 360 events recorded over 100 NFI; and 14,130 events recorded unknown number of NFI. Private citizens and property were the primary targets in 67 of the 149 high-FI events (100+ FI). Of the 149 events recording 100+ FI, 46 (30.87%) were attributed to bombings/explosions as the primary attack modality, 43 (28.86%) were armed assaults, 23 (15.44%) hostage incidents, two (1.34%) were facility/infrastructure attacks (incendiary), one (0.67%) was an unarmed assault, seven (4.70%) had unknown modalities, and 27 (18.12%) were mixed modality attacks.

The most common attack modality causing 100+ FI was the use of bombs and explosions (30.87%), followed by armed assaults (28.86%). Private citizens and properties (44.97%) were most commonly targeted, followed by government (6.04%), businesses (5.37%), police (4.70%), and airports and aircrafts (4.70%). These data will be useful for the development of training programs in Counter-Terrorism Medicine (CTM), a rapidly emerging Disaster Medicine sub-specialty.

Training emergency department (ED) personnel in the care of victims of mass-casualty incidents (MCIs) is a highly challenging task requiring unique and innovative approaches. The purpose of this study was to retrospectively explore the value of high-fidelity simulators in an exercise that incorporates time and resource limitation as an optimal method of training health care personnel in mass-casualty care.

Mass-casualty injury patterns from an explosive blast event were simulated for 12 victims using high-fidelity computerized simulators (HFCS). Programmed outcomes, based on the nature of injuries and conduct of participants, ranged from successful resuscitation and survival to death. The training exercise was conducted five times with different teams of health care personnel (n = 42). The exercise involved limited time and resources such as blood, ventilators, and imaging capability. Medical team performance was observed and recorded. Following the exercise, participants completed a survey regarding their training satisfaction, quality of the exercise, and their prior experiences with MCI simulations. The Likert scale responses from the survey were evaluated using mean with 95% confidence interval, as well as median and inter-quartile range. For the categorical responses, the frequency, proportions, and associated 95% confidence interval were calculated.

The mean rating on the quality of experiences related trainee survey questions (n = 42) was between 4.1 and 4.6 on a scale of 5.0. The mean ratings on a scale of 10.0 for quality, usefulness, and pertinence of the program were 9.2, 9.5, and 9.5, respectfully. One hundred percent of respondents believed that this type of exercise should be required for MCI training and would recommend this exercise to colleagues. The five medical team (n = 5) performances resulted in the number of deaths ranging from two (including the expectant victims) to six. Eighty percent of medical teams attempted to resuscitate the “expectant” infant and exhausted the O- blood supply. Sixty percent of medical teams depleted the supply of ventilators. Forty percent of medical teams treated “delayed” victims too early.

A training exercise using HFCS for mass casualties and employing limited time and resources is described. This exercise is a preferred method of training among participating health care personnel.

In the summer of 2015, Beirut experienced a garbage crisis that led to rioting. Riot control measures resulted in multiple casualties. This study examines injury patterns of riot victims presenting to the emergency department of a tertiary care center in a developing country.

A retrospective study was conducted in the emergency department of the American University of Beirut Medical Center between August 22 and August 30, 2015. Patients seen in the emergency department with riot injuries were included. Patient characteristics, injuries, and resources utilized in the emergency department were analyzed.

Ninety-five patients were identified. Most patients presented to the emergency department within a short time period. The mean age of the patients was 28.0 ± 8.7 years. Most (90.5%) of the patients were males and 92.6% were protestors. Emergency medical services were utilized by 41.0% of patients. Laceration was the most common presenting complaint (28.5%), and blunt trauma was the most common type of injury (50.5%). The head/face/neck was the most common injured body region (55.8%). Most patients did not require blood tests or procedures (91.6% and 61.0%, respectively), and 91.2% of patients were treated in the emergency department and discharged. One patient required intensive care unit admission and another was dead on arrival.

Most patients had mild injuries on presentation. The emergency department experienced a high influx of patients. Complications and deaths can occur from seemingly nonlethal weapons used during riots and warrant effective prehospital and hospital disaster planning.

The most commonly used methods for triage in mass-casualty incidents (MCIs) rely upon providers to take exact counts of vital signs or other patient parameters. The acuity and volume of patients which can be present during an MCI makes this a time-consuming and potentially costly process.

This study evaluates and compares the speed of the commonly used Simple Triage and Rapid Treatment (START) triage method with that of an “intuitive triage” method which relies instead upon the abilities of an experienced first responder to determine the triage category of each victim based upon their overall first-impression assessment. The research team hypothesized that intuitive triage would be faster, without loss of accuracy in assigning triage categories.

Local adult volunteers were recruited for a staged MCI simulation (active-shooter scenario) utilizing local police, Emergency Medical Services (EMS), public services, and government leadership. Using these same volunteers, a cluster randomized simulation was completed comparing START and intuitive triage. Outcomes consisted of the time and accuracy between the two methods.

The overall mean speed of the triage process was found to be significantly faster with intuitive triage (72.18 seconds) when compared to START (106.57 seconds). This effect was especially dramatic for Red (94.40 vs 138.83 seconds) and Yellow (55.99 vs 91.43 seconds) patients. There were 17 episodes of disagreement between intuitive triage and START, with no statistical difference in the incidence of over- and under-triage between the two groups in a head-to-head comparison.

Significant time may be saved using the intuitive triage method. Comparing START and intuitive triage groups, there was a very high degree of agreement between triage categories. More prospective research is needed to validate these results.

HartA, NammourE, MangoldsV, BroachJ. Intuitive versus Algorithmic TriagePrehosp Disaster Med.2018;33(4):355–361.

The Japanese Association for Disaster Medicine developed a mass casualty life support (MCLS) course to improve cooperation among medical practitioners during a disaster, which is essential for reducing the rates of preventable disaster death. We investigated whether there was difference in first aid activity among members of the ambulance service during mass casualty training based on having taken the MCLS course.

Mass casualty training was held at the fire department of Numazu City. Twenty-one ambulance service parties participated in this training. They first evaluated the mass casualty situation, performed the appropriate services at the scene during the initial period, and then provided START triage for mock wounded patients. Throughout the training, 5 examiners evaluated their performance.

Regarding the difference in first aid activity based on MCLS course attendance among the ambulance service members, the cooperative management (scored on a scale of 1 to 5) among the members who had taken the MCLS course was significantly better than that among those who had not taken the course (median [interquartile range]: 5 [0.5] vs. 4 [1.75], P<0.05).

Attending an MCLS course may help to improve outcomes in the face of an actual mass casualty incident. (Disaster Med Public Health Preparedness. 2018;12:437–440)

Mass-casualty (MASCAL) events are known to occur in the combat setting. There are very limited data at this time from the Joint Theater (Iraq and Afghanistan) wars specific to MASCAL events. The purpose of this report was to provide preliminary data for the development of prehospital planning and guidelines.

Cases were identified using the Department of Defense (DoD; Virginia USA) Trauma Registry (DoDTR) and the Prehospital Trauma Registry (PHTR). These cases were identified as part of a research study evaluating Tactical Combat Casualty Care (TCCC) guidelines. Cases that were designated as or associated with denoted MASCAL events were included.

Fifty subjects were identified during the course of this project. Explosives were the most common cause of injuries. There was a wide range of vital signs. Tourniquet placement and pressure dressings were the most common interventions, followed by analgesia administration. Oral transmucosal fentanyl citrate (OTFC) was the most common parenteral analgesic drug administered. Most were evacuated as “routine.” Follow-up data were available for 36 of the subjects and 97% were discharged alive.

The most common prehospital interventions were tourniquet and pressure dressing hemorrhage control, along with pain medication administration. Larger data sets are needed to guide development of MASCAL in-theater clinical practice guidelines.

SchauerSG, AprilMD, SimonE, MaddryJK, CarterR III, DelorenzoRA. Prehospital Interventions During Mass-Casualty Events in Afghanistan: A Case Analysis. Prehosp Disaster Med. 2017;32(4):465–468.

The Focused Abdominal Sonography in Trauma (FAST) scan is used to detect free fluid in the peritoneal cavity, or pericardium, to quickly assess for injuries needing immediate surgical intervention. Mass-casualty incidents (MCIs) are settings where paramedics must make triage decisions in minutes. The Simple Triage and Rapid Transport (START) system is used to prioritize transport. The FAST scan can be added to the triage of critical patients, and may aid in triage.

This was a single-blinded, randomized control trial. Ten paramedics with field experience were trained with an ultrasound machine in the performance of the FAST scan. Two weeks were allowed to pass before testing to simulate the time between training of standard procedures and their implementation. On test day, five peritoneal dialysis patients with instilled dialysis fluid and five matched control patients were placed in a room in a random order where the paramedics performed FAST scans on each patient. The paramedics were assessed by declaring positive or negative for each evaluation, as well as being timed for the total exercise.

Of the ninety tests (one paramedic dropped out due to family emergency), the paramedics had a mean accuracy of 60% and median of 62% (range 40%-80%). There was a statistically significant higher false-positive rate of 59% than false-negative rate of 41% (P < .01). Sensitivity was 67% with a specificity of 56%. Average time taken was 1,218 seconds (121.8 seconds per patient) with a range of 735-1,701 seconds and a median of 1,108 seconds.

In this simulation study, paramedics had difficulty performing FAST scans with a high degree of accuracy. However, they were more apt to call a patient positive, limiting the likelihood for false-negative triage.

WestB , CusserJA , EtengoffS , LandsgaardH , LaBondV . The Use of FAST Scan by Paramedics in Mass-casualty Incidents: A Simulation Study. Prehosp Disaster Med. 2014;29(6):1-4.