Emergency department (ED) staff in Belgium is simultaneously involved in patient care in the ED and in prehospital interventions as part of a Mobile Medical Team (MMT) or a Paramedic Intervention Team (PIT). There is a growing concern that the MMT is often over-qualified for the prehospital interventions they are dispatched to, while their absence from the ED results in insufficient human resources there.

The current study aims to investigate whether this perception is correct in the EDs of two different regions, while also examining the differences between a two-tiered (2T) and a three-tiered (3T) Emergency Medical Services (EMS) region.

A specially developed and pre-tested registration form was completed by physicians and nurses before and after each MMT intervention. The form included information on the composition of the MMT, the perceived need for MMT intervention pre-departure from the ED, the subjective appreciation of the need for the MMT after an intervention, and the therapeutic intervention(s) performed, in order to obtain a more objective appreciation of the actual need for an MMT. Data from a 2T and a 3T region were analyzed to rate the appropriateness of the interventions.

Although the 2T and 3T regions showed differences regarding MMT composition, dispatching, and logistics, the outcome of the study was identical in both regions. Before the intervention, physicians and nurses estimated that the MMT intervention would not be necessary in 37.7% of cases. However, following the intervention, it was subjectively deemed unnecessary in 65.7% of cases. Based on therapeutic interventions performed, the MMT was viewed as being over-qualified for carrying these out in 85.6% of cases. Post-intervention, the initial prediction that the MMT was over-qualified for the call was confirmed by the same physicians and nurses in 87.6% of cases, whilst their prediction was correct in 92.8% of cases in terms of the intervention that was carried out.

In two different Belgian regions, the MMT is over-qualified in a vast majority of interventions. Physicians and nurses within the MMT can generally already predict that the MMT is over-qualified when leaving the ED. These findings suggest that there may be significant opportunities to improve the efficacy of human resources in the ED once there are less interventions carried out by an over-qualified MMT.

This study aims to explore the evaluation of lactic acid (Lac) and neutrophil gelatinase-associated lipocalin (NGAL) on the condition and prognosis of patients with diquat (DQ) poisoning.

A total of 79 cases of DQ poisoning treated in one hospital from January 2019 through February 2023 were included: 10 cases of mild poisoning, 49 cases of moderate to severe poisoning, and 20 cases of fulminant poisoning. According to the Kidney Disease: Improving Global Outcomes-acute kidney injury (KDIGO-AKI) criteria, the patients were divided into 60 cases in the AKI group and 19 cases in the non-acute kidney injury (NAKI) group. According to the AKI diagnostic indicators, AKI patients were divided into Grade I, Grade II, and Grade III. According to prognosis, the patients were divided into survivor group and non-survivor group. During the same period, 30 healthy subjects were selected as the healthy group. The changes of blood Lac, NGAL, cystatin C (CysC), and serum creatinine (Scr) levels of patients were detected, the 28-day survival of patients was recorded, and the correlation between blood Lac, NGAL levels, and renal injury grade in patients with AKI caused by DQ poisoning was analyzed. The receiver operator characteristic (ROC) curve was used to evaluate the predictive value and prognostic value of Lac, NGAL, and their combination in patients with AKI caused by DQ poisoning.

There were significant differences in AKI grade, Lac, NGAL, CysC, and Scr levels among different degrees of poisoning groups (P < .05). There were significant differences in the levels of Lac, NGAL, CysC, and Scr among patients with different AKI grades (P < .05). The levels of Lac, NGAL, CysC, and Scr in the survivor group were significantly lower than those in the non-survivor group (P < .05). The blood Lac and NGAL levels were positively correlated with AKI grades in patients with DQ poisoning (r = 0.752, 0.836; P = .000, .000). The combined detection of blood Lac and NGAL had higher predictive value for AKI and assessed value for death in DQ poisoning than either of them alone.

The combined detection of Lac and NGAL have a certain clinical value in AKI grading and evaluating AKI prognosis caused by DQ poisoning.

Paramedicine clinicians (PCs) in the United States (US) respond to 40 million calls for assistance every year. Their fatality rates are high and their rates of nonfatal injuries are higher than other emergency services personnel, and much higher than the average rate for all US workers. The objectives of this paper are to: describe current occupational injuries among PCs; determine changes in risks over time; and calculate differences in risks compared to other occupational groups.

This retrospective open cohort study of nonfatal injuries among PCs used 2010 through 2020 data from the US Department of Labor (DOL), Bureau of Labor Statistics; some data were unavailable for some years. The rates and relative risks (RRs) of injuries were calculated and compared against those of registered nurses (RNs), fire fighters (FFs), and all US workers.

The annual average number of injuries was: 4,234 over-exertion and bodily reaction (eg, motion-related injuries); 3,935 sprains, strains, and tears; 2,000 back injuries; 580 transportation-related injuries; and over 400 violence-related injuries. In this cohort, women had an injury rate that was 50% higher than for men. In 2020, the overall rate of injuries among PCs was more than four-times higher, and the rate of back injuries more than seven-times higher than the national average for all US workers. The rate of violence-related injury was approximately six-times higher for PCs compared to all US workers, seven-times higher than the rate for FFs, and 60% higher than for RNs. The clinicians had a rate of transportation injuries that was 3.6-times higher than the national average for all workers and 2.3-times higher than for FFs. Their overall rate of cases varied between 290 per 10,000 workers in 2018 and 546 per 10,000 workers in 2022.

Paramedicine clinicians are a critical component of the health, disaster, emergency services, and public health infrastructures, but they have risks that are different than other professionals.

This analysis provides greater insight into the injuries and risks for these clinicians. The findings reveal the critical need for support for Emergency Medical Services (EMS)-specific research to develop evidence-based risk-reduction interventions. These risk-reduction efforts will require an enhanced data system that accurately and reliably tracks and identifies injuries and illnesses among PCs.

Handheld ultrasound (HHU) devices have gained prominence in emergency care settings and post-graduate training, but their application in the diagnosis of pediatric fractures remains under-explored. The aim of this study is to evaluate the effectiveness and accuracy of an HHU device for diagnosing pediatric forearm fractures using a simulation model.

The materials for the basic pediatric fracture model include turkey bones soaked in white vinegar to make them pliable, food-grade gelatine, and plastic containers. Ultrasound analysis of the models was done with an HHU device, Sonosite İViz US (FUJIFILM Sonosite, Inc.; Bothell, Washington USA). Four different fracture patterns (transverse fracture, oblique fracture, greenstick fracture, and a torus fracture) and one model without fracture were used in this study. Twenty-six Emergency Medicine residents sonographically evaluated different bone models in order to define the presence and absence of fracture and the fracture subtype. The participants’ ability to obtain adequate images and the time taken to create and recognize the images were evaluated and recorded. After the sonographic examination, the residents were also asked for their opinion on the model as a teaching tool.

All participants (100%) recognized the normal bone model and the fracture, regardless of the fracture type. The consistency analysis between the practitioners indicated a substantial agreement (weighted kappa value of 0.707). The duration to identify the target pathology in fracture models was significantly longer for the greenstick fracture (78.57 [SD = 30.45] seconds) model compared to other models. The majority of participants (92.3%) agreed that the model used would be a useful teaching tool for learning ultrasound diagnosis of pediatric forearm fractures.

All participants successfully identified both the normal bone model and the presence of fractures, irrespective of the fracture type. Significantly, the identification of the greenstick fracture took longer compared to other fracture types. Moreover, the majority of participants acknowledged the model’s utility as a teaching tool for learning ultrasound diagnosis of pediatric forearm fractures.

Field amputations are a low-frequency, high-risk procedure. Many prehospital personnel utilize the reciprocating saw. This study compares the efficiency, speed, and degree of tissue damage of different reciprocating saw blades found commercially.

Amputations were performed on two human cadavers at different levels of the upper and lower extremities. Four different blades were used, each with a different teeth-per-inch (TPI) design. The amputations were timed, blade temperature was recorded, subjective operator effort was obtained, amount of splatter was evaluated, and an orthopedic physician evaluated the extent of tissue damage and operating room repair difficulty.

The blade with fourteen TPI was superior in overall speed to complete the amputations at 1.07 seconds per one centimeter of tissue (SD = 0.49 seconds) and had the lowest fail rate (0/8 amputations). The three TPI, six TPI, and ten TPI blades all required a “rescue” technique and were slower. The blade with fourteen TPI caused the least amount of tissue damage and was deemed the easiest to repair. Secondary outcomes demonstrated the fourteen TPI blade had generated the least amount of heat and produced the least amount of splatter. All blades had a perceived effort of “easy” to complete the amputation.

While all blades were able to achieve an amputation, the overall recommendation is use of a fourteen TPI blade. It did not require any rescue techniques, provided the most straightforward amputation to repair, had the least amount of biohazard splatter and temperature increase, and was the fastest blade overall.

Peru’s health infrastructures, particularly hospitals, are exposed to disaster threats of different natures. Traditionally, earthquakes have been the main disaster in terms of physical and structural vulnerability, but the coronavirus disease 2019 (COVID-19) pandemic has also shown their functional vulnerability. Public hospitals in Lima are very different in terms of year constructed, type of construction, and number of floors, making them highly vulnerable to earthquakes. In addition, they are subject to a high demand for care daily. Therefore, if a major earthquake were to occur in Lima, the hospitals would not have the capacity to respond to the high demand.

The aim of this study was to analyze the Hospital Safety Index (HSI) in hospitals in Lima (Peru).

This was a cross-sectional observational study of 18 state-run hospitals that met the inclusion criteria; open access data were collected for the indicators proposed by the Pan American Health Organization (PAHO) Version 1. Associations between variables were calculated using the chi-square test, considering a confidence level of 95%. A P value less than .05 was considered to determine statistical significance.

The average bed occupancy rate was 90%, the average age was 70 years, on average had one bed per 25,126 inhabitants, and HSI average score was 0.36 with a vulnerability of 0.63. No association was found between HSI and hospital characteristics.

Most of the hospitals were considered Category C in earthquake and disaster safety, and only one hospital was Category A. The hospital situation needs to be clarified, and the specific deficiencies of each institution need to be identified and addressed according to their own characteristics and context.

The frequency of disasters world-wide has significantly increased in recent years, leading to an increase in the number of mass-casualty incidents (MCIs). These MCIs can overwhelm health care systems, requiring hospitals to respond quickly and effectively, often with limited resources. While numerous studies have identified the challenges in managing MCIs and have emphasized the importance of hospital disaster preparedness, there is a research gap in the preparedness level and response capacities of district hospitals in Nepal.

This study attempts to fill this gap by understanding the perception of hospital staff in managing MCIs in district hospitals of Nepal.

A qualitative case study was conducted in three district hospitals in Nepal. Semi-structured interviews were conducted with the hospital personnel, using an interview guide. An inductive thematic analysis was carried out to understand their perception on the most recent MCI management.

Three themes emerged from the data analysis: enablers in MCI management, barriers in MCI management, and recommendations for the future. Use of multiple communication channels, mobilization of entire hospital teams, mobilization of police in crowd control, presence of disaster store, and pre-identified triage areas were the major enablers that facilitated successful MCI management. Nonetheless, the study also revealed challenges such as a lack of knowledge on MCI response among new staff, disruptions caused by media and visitors, and challenges in implementing triage.

This study emphasized the importance of hospital disaster preparedness in managing MCIs and highlighted the significance of overcoming barriers and utilizing enablers for an efficient response. The findings of this study can provide the basis for the Ministry of Health and Population Nepal and district hospitals to plan initiatives for the effective management of MCIs in the future.

Outdoor activities have accelerated in the past several years. The authors were tasked with providing medical care for the Union Cycliste International (UCI) mountain biking World Cup in Snowshoe, West Virginia (USA) in September 2021. The Hartman and Arbon models were designed to predict patient presentation and hospital transport rates as well as needed medical resources at urban mass-gathering events. However, there is a lack of standardized methods to predict injury, illness, and insult severity at rural mass gatherings.

This study aimed to determine whether the Arbon model would predict, within 10%, the number of patient presentations to be expected and to determine if the event classification provided by the Hartman model would adequately predict resources needed during the event.

Race data were collected from UCI event officials and injury data were collected from participants at time of presentation for medical care. Predicted presentation and transport rates were calculated using the Arbon model, which was then compared to the actual observed presentation rates. Furthermore, the event classification provided by the Hartman model was compared to the resources utilized during the event.

During the event, 34 patients presented for medical care and eight patients required some level of transport to a medical facility. The Arbon predictive model for the 2021 event yielded 30.3 expected patient presentations. There were 34 total patient presentations during the 2021 race, approximately 11% more than predicted. The Hartman model yielded a score of four. Based on this score, this race would be classified as an “intermediate” event, requiring multiple Advanced Life Support (ALS) and Basic Life Support (BLS) personnel and transport units.

The Arbon model provided a predicted patient presentation rate within reasonable error to allow for effective pre-event planning and resource allocation with only a four patient presentation difference from the actual data. While the Arbon model under-predicted patient presentations, the Hartman model under-estimated resources needed due to the high-risk nature of downhill cycling. The events staffed required physician skills and air medical services to safely care for patients. Further evaluation of rural events will be needed to determine if there is a generalized need for physician presence at smaller events with inherently risky activities, or if this recurring cycling event is an outlier.

In recent years, unmanned aerial vehicles (UAVs) have been increasingly used for medical surveillance purposes in mass-gathering events. No studies have investigated the reliability of live video transmission from UAVs for accurate identification of distressed race participants in need of medical attention. The aim of this study was to determine the proportion of time during which live medical surveillance UAV video feed was successfully transmitted and considered of sufficient quality to identify acute illness in runners participating in the 2022 Montreal Marathon (Canada).

Four UAVs equipped with high-resolution cameras were deployed at two pre-defined high-risk areas for medical incidents located within the last 500 meters of the race. The video footage was transmitted in real-time during four consecutive hours to a remote viewing station where four research assistants monitored it on large screens. Interruptions in live feed transmission and moments with inadequate field of view (FOV) on runners were documented.

On September 25, 2022, a total of 6,916 athletes ran during the Montreal Marathon and Half Marathon. Out of the eight hours of video footage analyzed (four hours per high-risk area), 91.7% represented uninterrupted live video feed with an adequate view of the runners passing through the high-risk areas. There was a total of 18 live feed interruptions leading to a total interruption time of 22 minutes and 19 seconds (median interruption time of 32 seconds) and eight distinct moments with inadequate FOV on runners which accounted for 17 minutes and 33 seconds (median of 1 minute 47 seconds per moments with inadequate FOV). Active surveillance of drone-captured footage allowed early identification of two race participants in need of medical attention. Appropriate resources were dispatched, and UAV repositioning allowed for real-time viewing of the medical response.

Live video transmission from UAVs for medical surveillance of runners passing through higher risk segments of a marathon for four consecutive hours is feasible. Live feed interruptions and moments with inadequate FOV could be minimized through practice and additional equipment redundancy.

Emergency Medical Services (EMS) are integrated services involving doctors, paramedics, nurses, and social workers. This research was carried out to synthesize the evidence concerning social work roles for EMS. The aim of this study was to synthesize literature on the social worker’s role in EMS settings.

The study was a systematic review. Data were collected through selected databases. The researcher used Scopus, Sociology Database, Social Science Database, and Public Health Database related to EMS and social work settings. English papers were selected, without restrictions on publication time, place, and year. The searched keywords were: “Social Work AND Emergency Medical Services AND Ambulance Services,” “Social Worker AND Emergency Medical Systems AND Ambulance Services,” “Social Work AND EMS,” “Social Worker AND EMS,” “Social Work OR Social Worker,” “Social Work Role AND EMS,” Social Worker AND EMS,” “Emergency Medical Services OR/AND Emergency Medical Systems.”

The study synthesized the literature about the social work role in pre-EMS, during emergency, and post-EMS. The following themes were highlighted: social workers act as cultural liaisons, effective communicators, emergency workers, and mental health practitioners, collaborating with other disciplines and researchers, for this study. In pre-emergency stages, social workers have roles as educators, communicators, advocates, and awareness builders. During an emergency, social workers act as search and rescue workers, advocates, facilitators, networkers, psychosocial assessors, consultants, counselors, and liaisons for referral activities. And in the post-emergency period, social workers have roles as planners, liaisons, interdisciplinary collaborators, researchers, evaluators, and individuals responsible for follow up.

This study synthesizes the roles of social workers in EMS settings. It is the first study on this topic, aiming to produce new knowledge, evidence, and an EMS practice framework for the social worker.

There is no universal tool for measuring disaster preparedness in the general population. This study aimed to provide a summary of the domains and psychometric properties of the available scales that assess preparedness for disasters, or one of its main types, among individuals or households.

This study is a systematic review of the literature on disaster preparedness tools. Studies published up to December 2022 were identified through a systematic search of four databases: Google Scholar, PubMed, Scopus, and Web of Science. Consensus-Based Standards for the Selection of Health Measurement Instruments (COSMIN) were used to review and evaluate the psychometric properties. The Preferred Reporting Items for Systematic Review and Meta-Analysis (PRISMA) guidelines were used to report this article.

Twelve articles met the inclusion criteria. Among them, five scales measured general disaster preparedness, five measured earthquake preparedness, one measured flood preparedness, and one measured bushfire preparedness. The scales had a number of dimensions ranging from one to six. The most common item topics in the included scales were as follows: having an evacuation plan (n = 7), information source (n = 7), fire extinguisher (n = 6), and emergency kit (n = 5). The scales were rated sufficient for content validity (n = 10), structural validity (n = 5), internal consistency (n = 5), and test-re-test reliability (n = 6). One scale was checked for criterion validity and was rated as insufficient according to the COSMIN guidelines.

The findings suggest the need to improve the psychometric properties of the scales, expand their contents, and develop scales relevant to target populations. This study provides useful information for researchers to develop comprehensive assessment tools and valuable sources of items for future scales.

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.

Health care provision depends on reliable critical infrastructure (CI) to power equipment and to provide water for medication and sanitation. Attacks on CI limiting such functions can have a profound and prolonged influence on delivery of care.

A retrospective analysis of the Global Terrorism Database (GTD) was performed of all attacks occurring from 1970-2020. Data were filtered using the internal database search function for all events where the primary target was “Utilities,” “Food or Water Supply,” and “Telecommunications.” For the purposes of this study, the subtype “Food Supply” was excluded. Events were collated based on year, country, region, and numbers killed and wounded.

The GTD listed 7,813 attacks on CI, with 6,280 of those attacks targeting utilities, leading to 1,917 persons directly killed and 1,377 persons wounded. In total, there were 1,265 attacks targeting telecommunications causing 205 direct deaths and 510 wounded. Lastly, 268 attacks targeted the water supply with 318 directly killed and 261 wounded. Regionally, South America had the most attacks with 2,236, followed by Central America and the Caribbean with 1,390. Based on infrastructure type, the most attacks on utilities occurred in El Salvador (1,061), and the most attacks on telecommunications were in India (140). Peru (46) had the most attacks on its water supply.

The regions with the highest number of total attacks targeting CI have historically been in South America, with more attacks against power and utilities than other infrastructure. Although the numbers of persons directly killed and wounded in these attacks were lower than with other target types, the true impacts on lack of health care delivery are not accounted for in these numbers. By understanding the pattern and scope of these attacks, Counter-Terrorism Medicine (CTM) initiatives can be created to target-harden health care-related infrastructure.

Since 1902, disasters in the Northern Triangle of Central America, which consists of the countries Guatemala, Honduras, and El Salvador, have caused over one-hundred-thousand deaths, affected millions of people, and caused tens of billions of dollars in damages. Understanding the nature and frequency of these events will allow stakeholders to decrease both the acute damages and the long-term deleterious consequences of disasters.

This study provides a descriptive analysis of all disasters recorded in the Emergency Events Database (EM-DAT) affecting Guatemala, Honduras, and El Salvador from 1902-2022.

Data were collected and analyzed from the EM-DAT, which categorizes disasters by frequency, severity, financial cost, distribution by country, burden of death, number of people affected, financial cost by country, and type of disasters most prevalent in each country. Results are presented as absolute numbers and as a percentage of the overall disaster burden. These trends are then graphed over the time period of the database.

The EM-DAT recorded 359 disasters in the Northern Triangle from 1902 through 2022. Meteorologic events (floods and storms) were the most common types of disaster (44%), followed by transport accidents (13%). Meteorologic events and earthquakes were the most severe, as measured by deaths (62%), people affected (60%), and financial cost (86%). Guatemala had the greatest number of disasters (45%), deaths (68%), and affected people (52%). The financial costs of the disasters were evenly distributed between the three countries.

Meteorologic disasters are the most common and most severe type of disaster in the Northern Triangle. Earthquakes and transport accidents are also common. As climate change causes more severe storms in the region, disasters are likely to increase in severity as well. Governments and aid organizations should develop disaster preparedness and mitigation strategies to lessen the catastrophic effects of future disasters. Missing data limit the conclusions of this study to general trends.