Multiple Casualty Events Research Articles

The Oregon District Shooting: Reviewing the Pre-Hospital Protocols and the Role of the Resident During a Multiple Casualty Event.

Background: Review of multiple casualty events (MCEs) protocols in an academic trauma center and more importantly role of residents in management of MCEs has not been discussed. Also, no real-world examples have been described. This study reviews utilization of multiple casualty protocols by the area hospitals and EMS along with role of residents in one such real-world MCEMethods: A mass shooting event in the Oregon District in Dayton, Ohio from 2019 was reviewed. MCE protocols from a Level I trauma center were reviewed as well as patient outcomes and role of residents.Results: A total of 10 casualties were observed and 38 patients presented to hospitals throughout the city. There were 25 patients presented to the Level I trauma center, 1 to the Level II trauma center, and 12 to the Level III trauma centers in the community. Surgical and Emergency residents performed initial triage upon arrival to the ED, managed resuscitation, and performed various procedures under supervision of attending staff. A total of 5 patients required emergent surgery and 4 patients required tourniquets. All patients that were presented to the hospitals survived.Conclusion: MCEs are going to continue, and healthcare systems should have protocols in place. Residents are a valuable resource to hospital systems that provide trauma services. Creation of a protocol with the assistance of EMS will allow first responders to utilize resources available. We recommend testing of this protocol, as an MCE in your area may not be a matter of if, but when.

Helicopter Crashes in the Deployed Combat Setting: The Department of Defense Trauma Registry Experience.

Military helicopter mishaps frequently lead to multiple casualty events with complex injury patterns. Data specific to this mechanism of injury in the deployed setting are limited. We describe injury patterns associated with helicopter crashes. This is a secondary analysis of a Department of Defense Trauma Registry (DODTR) dataset from 2007 to 2020 seeking to describe prehospital care within all theaters in the registry. We searched within the dataset for casualties injured by helicopter crash. A serious injury was defined by an abbreviated injury scale of =3 by body region. We identified 120 casualties injured by helicopter crash within the dataset. Most were Army (64%), the median age was 30 (interquartile range [IQR] 26-35), and most were male (98%), enlisted service members made up the largest cohort (47%), with most injuries occurring during Operation Enduring Freedom (69%). Only 2 were classified as battle injuries. The median injury severity score was 9 (IQR 4-22). Serious injuries by body region are the following: thorax (27%), head/neck (17%), extremities (17%), abdomen (11%), facial (3%), and skin/superficial (1%). The most common prehospital interventions focused on hypothermia prevention/management (62%) and cervical spine stabilization (32%). Most patients survived to hospital discharge (98%). Serious injuries to the thorax were most common. Survival was high, although better data capture systems are needed to study deaths that occur prehospital that do not reach military treatment facilities with surgical care to optimize planning and outcomes. The high proportion of nonbattle injuries highlights the risks associated with helicopters in general.

Examining mass shootings from a neighborhood perspective: An analysis of multiple-casualty events and media reporting in Philadelphia, United States

Identifying the people and places affected by mass shootings depends on how “mass shooting” is defined. From the perspective of urban neighborhoods, it is likely the number of people injured within a proximate time and space, which determines the event's impact on perceptions of safety and social cohesion. We aimed to describe the incidence of “neighborhood” mass shootings in one US city and to determine how these events were communicated to the public through news media. This mixed-methods study analyzed Philadelphia, Pennsylvania police data from 2006 to 2015. Using rolling temporal and distance buffers, we isolated shooting events involving multiple victims within a defined time period and geography. Selecting a definition of neighborhood mass shooting consistent with other common mass shooting definitions in which ≥4 victims were shot within 1 h and 100 m, we identified 46 events involving 212 victims over 10 years. We then searched public news media databases and used directed content analysis to describe the range and headline content from reports associated with the 46 events. Neighborhood mass shooting victims were more likely to be younger and female compared to other firearm-injured individuals (p < 0.001). Seven (15%) events received no news media attention, and 30 (77%) of the 39 reported events were covered solely in local/regional news. Only one event was named a “mass shooting” in any associated headline. In Philadelphia, neighborhood mass shootings occur multiple times per year but receive limited media coverage. The population health impact of these events is likely under-appreciated by the public and policymakers.

Family Can Hurt You the Most: Examining Perpetrators in Multiple Casualty Events

IntroductionRecently, multiple-homicide events, particularly mass shootings, have become a focus of media attention. We hypothesize that many multiple homicides are related to domestic conflict and suicidality. Materials and methodsWe analyzed multiple-homicide events (involving two or more victims) in the National Violent Death Reporting System from 2003 to 2015, including those that were followed by suicide of the perpetrator. We characterized circumstances of these events and compared victims with those found in single-homicide events. ResultsWe identified 2425 multiple-victim incidents involving a total of 5424 homicide victims (9.3% of all homicide victims in National Violent Death Reporting System). Of these events, 14.1% (n = 341) were homicides followed by suicide of the perpetrator. Many multiple homicides involved intimate partners or family members of the victims (n = 741, 30.6%). Few of these events were related specifically to a mental health crisis (n = 39, 2.3%), resulting in the deaths of multiple strangers. Even in mass homicide events (more than four victims), many involved the death of an intimate partner or family member of the perpetrator (n = 14/31, 45.2%). Risk of homicide-suicide increased as the number of victims in the incident increased. ConclusionsIn our examination of multiple-homicide events, we found that many involve the death of the intimate partner and/or family members of the perpetrator, even for events with more than four victims. Although the scenario of a perpetrator with mental health issues going on a “shooting rampage” and murdering multiple strangers is commonly invoked in mass homicide incidents, it is rare overall.

Finding the signal in the noise: Could social media be utilized for early hospital notification of multiple casualty events?

IntroductionDelayed notification and lack of early information hinder timely hospital based activations in large scale multiple casualty events. We hypothesized that Twitter real-time data would produce a unique and reproducible signal within minutes of multiple casualty events and we investigated the timing of the signal compared with other hospital disaster notification mechanisms.MethodsUsing disaster specific search terms, all relevant tweets from the event to 7 days post-event were analyzed for 5 recent US based multiple casualty events (Boston Bombing [BB], SF Plane Crash [SF], Napa Earthquake [NE], Sandy Hook [SH], and Marysville Shooting [MV]). Quantitative and qualitative analysis of tweet utilization were compared across events.ResultsOver 3.8 million tweets were analyzed (SH 1.8 m, BB 1.1m, SF 430k, MV 250k, NE 205k). Peak tweets per min ranged from 209–3326. The mean followers per tweeter ranged from 3382–9992 across events. Retweets were tweeted a mean of 82–564 times per event. Tweets occurred very rapidly for all events (<2 mins) and represented 1% of the total event specific tweets in a median of 13 minutes of the first 911 calls. A 200 tweets/min threshold was reached fastest with NE (2 min), BB (7 min), and SF (18 mins). If this threshold was utilized as a signaling mechanism to place local hospitals on standby for possible large scale events, in all case studies, this signal would have preceded patient arrival. Importantly, this threshold for signaling would also have preceded traditional disaster notification mechanisms in SF, NE, and simultaneous with BB and MV.ConclusionsSocial media data has demonstrated that this mechanism is a powerful, predictable, and potentially important resource for optimizing disaster response. Further investigated is warranted to assess the utility of prospective signally thresholds for hospital based activation.

Reconsidering the Resources Needed for Multiple Casualty Events: Lessons Learned From the Crash of Asiana Airlines Flight 214.

To date, a substantial portion of multiple casualty incident literature has focused exclusively on prehospital and emergency department resources needed for optimal disaster response. Thus, inpatient resources required to care for individuals injured in multiple casualty events are not well described. To highlight the resources beyond initial emergency department triage needed for multiple casualty events, using one of the largest commercial aviation disasters in modern US history as a case study. Prospective case series of injured individuals treated at an urban level I trauma center following the crash of Asiana Airlines flight 214 on July 6, 2013. This analysis was conducted between June 1, 2014, and December 1, 2015. Commercial jetliner crash. Medical records, imaging data, nursing overtime, blood bank records, and trauma registry data were analyzed. Disaster logs, patient injuries, and blood product data were prospectively collected during the incident. Among 307 people aboard the flight, 192 were injured; 63 of the injured patients were initially evaluated at San Francisco General Hospital and Trauma Center (the highest number at any of the receiving medical facilities; age range, 4-74 years [23 were aged <17 years and 3 were aged >60 years]; median injury severity score of 19 admitted patients, 9 [range, 9-45]), including the highest number of critically injured patients (10 of 12). Despite the high impact of the crash, only 3 persons (<1%) died, including 1 in-hospital death. Among the 63 patients, 32 (50.8%) underwent a computed tomographic imaging study, with imaging of the abdomen and pelvis being the most common. Sixteen of the 32 patients undergoing computed tomography (50.0%) had a positive finding on at least 1 scan. Nineteen patients had major injuries and required admission, with 5 taken directly from the emergency department to the operating room. The most frequent injury was spinal fracture (13 patients). In the first 48 hours, 15 operations were performed and 117 total units of blood products were transfused. A total of 370 nursing overtime hours were required to treat the injured patients on the day of the event. Proper disaster preparedness requires attention to hospital-level needs beyond initial emergency department triage. The Asiana Airlines flight 214 crash highlights the need to plan for high use of advanced imaging, blood products, operating room availability, nursing resources, and management of inpatient hospital beds.

Nursing Education for Disaster Preparedness and Response

Catastrophic mass casualty events (MCEs), such as pandemic influenza outbreaks, earthquakes, or large-scale terrorism-related events, quickly and suddenly yield thousands of victims whose needs overwhelm local and regional health care systems, personnel, and resources. Such conditions require deploying scarce resources in a manner that is different from the more common multiple casualty event. This article presents issues associated with providing nursing care under MCE circumstances of scarce resources and the educational needs of nurses to prepare them to effectively respond in these emergencies.

Nursing Education for Disaster Preparedness and Response.

Catastrophic mass casualty events (MCEs), such as pandemic influenza outbreaks, earthquakes, or large-scale terrorism-related events, quickly and suddenly yield thousands of victims whose needs overwhelm local and regional health care systems, personnel, and resources. Such conditions require deploying scarce resources in a manner that is different from the more common multiple casualty event. This article presents issues associated with providing nursing care under MCE circumstances of scarce resources and the educational needs of nurses to prepare them to effectively respond in these emergencies. J Contin Educ Nurs. 2015;46(x):xxx-xxx.

Disaster Metrics: Evaluation of de Boer's Disaster Severity Scale (DSS) Applied to Earthquakes.

Quantitative measurement of the medical severity following multiple-casualty events (MCEs) is an important goal in disaster medicine. In 1990, de Boer proposed a 13-point, 7-parameter scale called the Disaster Severity Scale (DSS). Parameters include cause, duration, radius, number of casualties, nature of injuries, rescue time, and effect on surrounding community. Hypothesis This study aimed to examine the reliability and dimensionality (number of salient themes) of de Boer's DSS scale through its application to 144 discrete earthquake events. A search for earthquake events was conducted via National Oceanic and Atmospheric Administration (NOAA) and US Geological Survey (USGS) databases. Two experts in the field of disaster medicine independently reviewed and assigned scores for parameters that had no data readily available (nature of injuries, rescue time, and effect on surrounding community), and differences were reconciled via consensus. Principle Component Analysis was performed using SPSS Statistics for Windows Version 22.0 (IBM Corp; Armonk, New York USA) to evaluate the reliability and dimensionality of the DSS. A total of 144 individual earthquakes from 2003 through 2013 were identified and scored. Of 13 points possible, the mean score was 6.04, the mode = 5, minimum = 4, maximum = 11, and standard deviation = 2.23. Three parameters in the DSS had zero variance (ie, the parameter received the same score in all 144 earthquakes). Because of the zero contribution to variance, these three parameters (cause, duration, and radius) were removed to run the statistical analysis. Cronbach's alpha score, a coefficient of internal consistency, for the remaining four parameters was found to be robust at 0.89. Principle Component Analysis showed uni-dimensional characteristics with only one component having an eigenvalue greater than one at 3.17. The 4-parameter DSS, however, suffered from restriction of scoring range on both parameter and scale levels. Jan de Boer's DSS in its 7-parameter format fails to hold statistically in a dataset of 144 earthquakes subjected to analysis. A modified 4-parameter scale was found to quantitatively assess medical severity more directly, but remains flawed due to range restriction on both individual parameter and scale levels. Further research is needed in the field of disaster metrics to develop a scale that is reliable in its complete set of parameters, capable of better fine discrimination, and uni-dimensional in measurement of the medical severity of MCEs.

Fatalities in the Norwegian fishing fleet 1990–2011

Working at sea presents a considerable fatal accident risk to the fishers of the fleet, far exceeding any average land-based job, as far as incident rate per man-labor year. This no-doubt is the result of placing an industrial workplace on a moving, oscillating and inherently unstable working platform subject to the vagaries of the sea. Here hazardous work is conducted in cramped workspaces, on uneven, slippery and cluttered decks, with operations involving heavy fishing gears and mobile rotational machinery. The purpose of this article is to analyze the circumstances of the 281 deaths reported to the Norwegian authorities from the Norwegian fishing fleet over the period 1990–2011. The aim is to determine important characteristics and traits in the statistics, and to facilitate and focus the devising of future preventative intervention strategies. The results indicate that there has been a considerable reduction in the number of fatalities in the fishing fleet of Norway over this time frame. The average incidence rate for fatalities during the 22year study period is 8.71 per 10,000 man years. Single, fatality occurrences are a more important cause of deaths in the fleet than multiple casualty events. The most significant modes of fatality are vessel disasters followed by man overboard events and drowning in port. The findings lead to a discussion on both the significance of the preventative measures put in place over the past two decades and the future directions and evolutions required for continued success in reducing fatalities in the Norwegian fleet.

Disaster Metrics: Quantitative Estimation of the Number of Ambulances Required in Trauma-Related Multiple Casualty Events

Estimating the number of ambulances needed in trauma-related Multiple Casualty Events (MCEs) is a challenging task. Emergency medical services (EMS) regions in the United States have varying "best practices" for the required number of ambulances in MCE, none of which is based on metric criteria. The objective of this study was to estimate the number of ambulances required to respond to the scene of trauma-related MCE in order to initiate treatment and complete the transport of critical (T1) and moderate (T2) patients. The proposed model takes into consideration the different transport times and capacities of receiving hospitals, the time interval from injury occurrence, the number of patients per ambulance, and the pre-designated time frame allowed from injury until the transfer care of T1 and T2 patients. The main theoretical framework for this model was based on prehospital time intervals described in the literature and used by EMS systems to evaluate operational and patient care issues. The North Atlantic Treaty Organization (NATO) triage categories (T1-T4) were used for simplicity. The minimum number of ambulances required to respond to the scene of an MCE was modeled as being primarily dependent on the number of critical patients (T1) present at the scene any particular time. A robust quantitative model was also proposed to dynamically estimate the number of ambulances needed at any time during an MCE to treat, transport and transfer the care of T1 and T2 patients. A new quantitative model for estimation of the number of ambulances needed during the prehospital response in trauma-related multiple casualty events has been proposed. Prospective studies of this model are needed to examine its validity and applicability.

Disaster Metrics: A Proposed Quantitative Model for Benchmarking Prehospital Medical Response in Trauma-Related Multiple Casualty Events

Quantitative benchmarking of trauma-related prehospital response for Multiple Casualty Events (MCE) is complicated by major difficulties due to the simultaneous occurrences of multiple prehospital activities. Attempts to quantify the various components of prehospital medical response in MCE have fallen short of a comprehensive model. The objective of this study was to model the principal parameters necessary to quantitatively benchmark the prehospital medical response in trauma-related MCE. A two-step approach was adopted for the methodology of this study: an extensive literature search was performed, followed by prehospital system quantitative modeling. Studies on prehospital medical response to trauma injuries were used as the framework for the proposed model. The North Atlantic Treaty Organization (NATO) triage categories (T1-T4) were used for the study. Two parameters, the Injury to Patient Contact Interval (IPCI) and Injury to Hospital Interval (IHI), were identified and proposed as the principal determinants of the medical prehospital response in trauma-related MCE. IHI is the time interval from the occurrence of injury to the completion of transfer of care of critical (T1) and moderate (T2) patients. The IHI for each casualty is compared to the Maximum Time Allowed described in the literature (golden hour for T1 and Friedrich's time for T2). In addition, the medical rescue factor (R) was identified as the overall indicator for the prehospital medical performance for T1 and T2, and a numerical value of one (R = 1) was proposed to be the quantitative benchmark. A new quantitative model for benchmarking prehospital response to MCE in trauma-related MCE is proposed. Prospective studies of this model are needed to validate its applicability.

Disaster Metrics: Quantification of Acute Medical Disasters in Trauma-Related Multiple Casualty Events through Modeling of the Acute Medical Severity Index

The interaction between the acute medical consequences of a Multiple Casualty Event (MCE) and the total medical capacity of the community affected determines if the event amounts to an acute medical disaster. There is a need for a comprehensive quantitative model in MCE that would account for both prehospital and hospital-based acute medical systems, leading to the quantification of acute medical disasters. Such a proposed model needs to be flexible enough in its application to accommodate a priori estimation as part of the decision-making process and a posteriori evaluation for total quality management purposes. The concept proposed by de Boer et al in 1989, along with the disaster metrics quantitative models proposed by Bayram et al on hospital surge capacity and prehospital medical response, were used as theoretical frameworks for a new comprehensive model, taking into account both prehospital and hospital systems, in order to quantify acute medical disasters. A quantitative model called the Acute Medical Severity Index (AMSI) was developed. AMSI is the proportion of the Acute Medical Burden (AMB) resulting from the event, compared to the Total Medical Capacity (TMC) of the community affected; AMSI = AMB/TMC. In this model, AMB is defined as the sum of critical (T1) and moderate (T2) casualties caused by the event, while TMC is a function of the Total Hospital Capacity (THC) and the medical rescue factor (R) accounting for the hospital-based and prehospital medical systems, respectively. Qualitatively, the authors define acute medical disaster as "a state after any type of Multiple Casualty Event where the Acute Medical Burden (AMB) exceeds the Total Medical Capacity (TMC) of the community affected." Quantitatively, an acute medical disaster has an AMSI value of more than one (AMB / TMC > 1). An acute medical incident has an AMSI value of less than one, without the need for medical surge. An acute medical emergency has an AMSI value of less than one with utilization of surge capacity (prehospital or hospital-based). An acute medical crisis has an AMSI value between 0.9 and 1, approaching the threshold for an actual medical disaster. A novel quantitative taxonomy in MCE has been proposed by modeling the Acute Medical Severity Index (AMSI). This model accounts for both hospital and prehospital systems, and quantifies acute medical disasters. Prospective applications of various components of this model are encouraged to further verify its applicability and validity.

Prairie North: A joint civilian/military mass casualty exercise highlights the role of the National Guard in community disaster response

In a joint military/civilian exercise conducted in June 2010, military National Guard medical and decontamination response efforts proved to be paramount in supporting hospital resources to sustain an adequate response during a simulated terrorist event. Traditionally, hospitals include local responders in their disaster preparedness but overlook other available state and federal resources such as the National Guard. Lessons learned from the exercise included the value of regular joint disaster planning and training between the military and civilian medical sectors. Additionally, military communication and medical equipment compatibility with the civilian infrastructure was identified as one of the top areas for the improvement of this joint exercise. Involving the National Guard in community disaster planning provides a valuable medical support asset that can be critical in responding to multiple casualty events. National Guard response is inherently faster than its federal counterpart. Based on the findings from our joint exercise, states are encouraged to incorporate their corresponding National Guard in civilian critical medical infrastructure disaster preparedness activities, as the National Guard can be an integral part of the disaster response efforts in real multiple casualty events.

Disaster Metrics: Quantitative Benchmarking of Hospital Surge Capacity in Trauma-Related Multiple Casualty Events

Hospital surge capacity in multiple casualty events (MCE) is the core of hospital medical response, and an integral part of the total medical capacity of the community affected. To date, however, there has been no consensus regarding the definition or quantification of hospital surge capacity. The first objective of this study was to quantitatively benchmark the various components of hospital surge capacity pertaining to the care of critically and moderately injured patients in trauma-related MCE. The second objective was to illustrate the applications of those quantitative parameters in local, regional, national, and international disaster planning; in the distribution of patients to various hospitals by prehospital medical services; and in the decision-making process for ambulance diversion. A 2-step approach was adopted in the methodology of this study. First, an extensive literature search was performed, followed by mathematical modeling. Quantitative studies on hospital surge capacity for trauma injuries were used as the framework for our model. The North Atlantic Treaty Organization triage categories (T1-T4) were used in the modeling process for simplicity purposes. Hospital Acute Care Surge Capacity (HACSC) was defined as the maximum number of critical (T1) and moderate (T2) casualties a hospital can adequately care for per hour, after recruiting all possible additional medical assets. HACSC was modeled to be equal to the number of emergency department beds (#EDB), divided by the emergency department time (EDT); HACSC = #EDB/EDT. In trauma-related MCE, the EDT was quantitatively benchmarked to be 2.5 (hours). Because most of the critical and moderate casualties arrive at hospitals within a 6-hour period requiring admission (by definition), the hospital bed surge capacity must match the HACSC at 6 hours to ensure coordinated care, and it was mathematically benchmarked to be 18% of the staffed hospital bed capacity. Defining and quantitatively benchmarking the different components of hospital surge capacity is vital to hospital preparedness in MCE. Prospective studies of our mathematical model are needed to verify its applicability, generalizability, and validity.

The Medical Disaster Response: Is It More than a Multiple-Casualty Event?

The Medical Disaster Response: Is It More than a Multiple-Casualty Event?

Predicting Resource Needs for Multiple and Mass Casualty Events in Combat: Lessons Learned From Combat Support Hospital Experience in Operation Iraqi Freedom

We hypothesized that the number of evacuated casualties from a combat-related multiple casualty event provides an initial baseline estimate of the number of blood products required for the event. A retrospective review of combat support hospitals' experiences in Operation Iraqi Freedom was performed, (from December 2003 to December 2004). Identified multiple casualty events were analyzed for mechanisms of injury, total number of patients arriving to the combat support hospitals, average injury severity score, operative interventions, blood product requirements, and short-term outcomes (24-hour mortality). Selected events in which the Packed cells per Patient Index (PPI) was greater than a SD away from the mean were analyzed further regarding the casualties' injuries, the triage decisions during the event, operations, and patient outcomes. Of 367 days and 3,533 casualties, multiple or mass casualty events were identified on 26 days, accounting for 18% of casualties treated for the year. Twenty-two percent of all evacuated casualties from a multiple casualty event required transfusion and 4.2% required massive transfusion. Patients injured by discrete explosion-related events had an increased incidence of massive transfusion compared with patients injured from firefights, 9.6% versus 4%, respectively, (p < 0.05). The average number of RBC units (packed red blood cells units + fresh whole blood units) per patient (PPI) for these events was 1.4 (+/-0.8). Review of casualty events where the PPI was higher revealed either potential triage or treatment errors. Baseline blood product requirements for a multiple or mass casualty combat-related event can be estimated from the number of evacuated casualties involved.

Mass Casualty Event During a Musical Parade: Lessons Learned.

In the Netherlands, major incidents are sparse, and so there is a general feeling of a relatively low risk. Upon evaluating multiple casualty events (MCEs) in the Netherlands over the last 60 years, it is worth noting 39 major events. Our objective was to report the experiences from a mass casualty incident in an urban area, performing a critical evaluation of the response and outcome related to the scenario in order to learn from our past and to train for the future. In a retrospective patient record analysis we collected all of the data concerning an MCE we encountered in August 2006. There were 21 casualties at the scene. Of our 19 patients, 12 were seen in the crash room. The average age of the patients was 30 years (range 22-53). In all, 87 X-rays, 1 ultrasound and 15 CT scans were performed. Four patients were admitted: ten patients received definitive wound treatment in the ED. Psychological support was given to all patients. One patient died three days later. Triage supported by one person and two trauma teams worked well. The amount of over- and undertriage was in line with the literature. Numbering the patients worked well but also caused enormous problems with the supporting facilities. Centralizing the trauma care yielded certain advantages; however, we must respect our surge capacity of 20 patients. When the number of patients surpasses 20, an alternative plan must be followed. This event has been an eye-opener for our organization; it has given us new tools to prepare for a potential new disaster.

Willingness to Respond: Of Emergency Department Personnel and Their Predicted Participation in Mass Casualty Terrorist Events

In May 2003, the TOPOFF 2 national disaster drill demonstrated inadequate preparedness for mass casualty terrorist events and failed to address the willingness of Emergency Department (ED) personnel to assist with these events. The objective of this study was to examine ED personnel willingness to respond to various multiple casualty events. A prospective voluntary survey of ED personnel from multiple hospitals was randomly administered in the form of vignette-based questionnaires. The survey of 204 participants at eight hospitals in the Chicago area revealed that staff members were more willing to work additional hours for victims of an airplane crash (98.0%), than for a radioactive bomb (85.3%), or a biologic agent (54.0%). For the biologic agent only, men were significantly more likely to respond than women. Hospital management should anticipate significant reductions in workforce during biologic and radioactive disaster events. Employees' willingness to respond was not augmented by any incentives offered by hospitals, although enhanced financial remuneration and disability coverage showed the most potential to increase response.

Mass Casualties in Combat: Lessons Learned

Abstract : The current military trauma systems in Iraq and Afghanistan are effective at dealing with both routine multiple casualty events and the less common mass casualty event. Analysis of multiple and mass casualty events from current conflicts can provide critical lessons learned regarding triage and resource utilization that can potentially be applied to other conflicts or civilian multiple or mass casualty events. Although the findings of this study regarding blood product utilization may not be directly applicable to catastrophic, national-level events, the consistency of the findings with the Israeli experience and across a wide range of smaller multiple or mass casualty explosion-related events is striking. Hence, for such events, the number of casualties generated may provide a reliable baseline prediction of blood product needs and percentages of patients who will require transfusion and massive transfusion. This in turn can help determine the distribution of casualties among medical treatment facilities and allow for activation of additional blood resources, such as notification of more distant blood banks or initiation of fresh whole blood drives. Clearly, the experiences with mass casualty events that both military and civilian surgeons encounter must continue to be studied and shared.