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The use of triage systems is one of the most important measures in response to mass-casualty incidents (MCIs) caused by emergencies and disasters. In these systems, certain principles and criteria must be considered that can be achieved with a lack of resources. Accordingly, the present study was conducted as a systematic review to explore the principles of triage systems in emergencies and disasters world-wide.
Methods:
The present study was conducted as a systematic review of the principles of triage in emergencies and disasters. All papers published from 2000 through 2019 were extracted from the Web of Science, PubMed, Scopus, Cochrane Library, and Google Scholar databases. The search for the articles was conducted by two trained researchers independently.
Results:
The classification and prioritization of the injured people, the speed, and the accuracy of the performance were considered as the main principles of triage. In certain circumstances, including chemical, biological, radiation, and nuclear (CBRN) incidents, certain principles must be considered in addition to the principles of the triage based on traumatic events. Usually in triage systems, the classification of the injured people is done using color labeling. The short duration of the triage and its accuracy are important for the survival of the injured individuals. The optimal use of available resources to protect the lives of more casualties is one of the important principles of triage systems and does not conflict with equity in health.
Conclusion:
The design of the principles of triage in triage systems is based on scientific studies and theories in which attempts have been made to correctly classify the injured people with the maximum correctness and in the least amount of time to maintain the survival of the injured people and to achieve the most desirable level of health. It is suggested that all countries adopt a suitable and context-bond model of triage in accordance with all these principles, or to propose a new model for the triage of injured patients, particularly for hospitals in emergencies and disasters.
In the French mainland administrative region Nouvelle-Aquitaine, syndromic surveillance is based on hospital emergency data, mortality data, and data from associations belonging to the SOS Médecins network. The aim of the present article is to describe the functioning of this network and to illustrate its use for syndromic surveillance in Nouvelle-Aquitaine.
Method:
The SOS Médecins network participates in the syndromic surveillance system SurSaUD, developed by Santé publique France (SpF; the French National Public Health Agency; Saint-Maurice, Paris, France). Near real-time data are automatically transmitted daily to a data server and analyzed by SpF’s Nouvelle Aquitaine’s regional unit to identify, monitor, and evaluate the impact of expected and unexpected health events in the region.
Results:
The SOS Médecins network has five local associations spread across the region with 146 participating physicians. Data have been recorded for more than 10 years and represented nearly 481,000 visits in 2017. The resulting database has helped to identify and monitor seasonal epidemics and unexpected events, as well as measure the health impact of these events.
Conclusion:
The data from the SOS Médecins network are an essential source in syndromic surveillance. They complement surveillance data from other sources. More specifically, mortality and emergency unit traffic reflect the most severe cases, while SOS Médecins data help early detection of epidemics and health events in the general population. The network has shown its responsiveness and its reliability, not only for the surveillance of seasonal epidemics, but also for the detection of unusual signals. It therefore constitutes an essential link in syndromic surveillance in France, and specifically in the Nouvelle-Aquitaine region.
Homelessness is a growing problem, with perhaps greater than a 150 million homeless people globally. The global community has prioritized the problem, as eradicating homelessness is one of the United Nation’s sustainability goals of 2030. Homelessness is a variable entity with individual, population, cultural, and regional characteristics complicating emergency preparedness. Overall, there are many factors that make homeless individuals and populations more vulnerable to disasters. These include, but are not limited to: shelter concerns, transportation, acute and chronic financial and material resource constraints, mental and physical health concerns, violence, and substance abuse. As such, homeless population classification as a special or vulnerable population with regard to disaster planning is well-accepted. Much work has been done regarding best practices of accounting for and accommodating special populations in all aspects of disaster management. Utilizing what is understood of homeless populations and emergency management for special populations, a review of disaster planning with recommendations for communities was conducted. Much of the literature on this subject generates from urban homeless in the United States, but it is assumed that some lessons learned and guidance will be translatable to other communities and settings.
The authors reviewed case reports of patients presenting to an advanced medical assessment and resuscitation service at 15 music events over 22 days from June 2018 through March 2019 around Australia. Event size ranged from 4,000 to 57,500 participants. Events observed had a mean patient presentation rate (PPR) of 0.83% (SD = 0.59%) and mean transport to hospital rate (TTHR) of 1.89 (SD = 0.92) per 10,000. Two-hundred and twenty-one cases were reviewed and tabulated for descriptive analysis.
Lower rates of traumatic injuries were seen compared to other case reports, and minor procedures represented a minor but important part of the team’s workload. Methylenedioxymethamphetamine (MDMA) use was reported by 33.0% of patients on the day of presentation; almost one-half of these reported a co-ingestion. Patients presenting after using MDMA were more likely to have an elevated temperature. Eight percent of patients presented with temperature above 38°C. Patients with an initial temperature above 38°C were more likely to require hospitalization. On-site electrocardiograph (ECG), blood gas, ultrasound, and urinalysis were found to be useful in decision support. In total, 29.8% of patients required sedation during their encounter; 2.7% required rapid sequence induction at the event. Mean observation time was 44 minutes, with longer observation required in MDMA and hallucinogen-related presentations.
Prehospital vital signs are used to triage trauma patients to mobilize appropriate resources and personnel prior to patient arrival in the emergency department (ED). Due to inherent challenges in obtaining prehospital vital signs, concerns exist regarding their accuracy and ability to predict first ED vitals.
Hypothesis/Problem:
The objective of this study was to determine the correlation between prehospital and initial ED vitals among patients meeting criteria for highest levels of trauma team activation (TTA). The hypothesis was that in a medical system with short transport times, prehospital and first ED vital signs would correlate well.
Methods:
Patients meeting criteria for highest levels of TTA at a Level I trauma center (2008-2018) were included. Those with absent or missing prehospital vital signs were excluded. Demographics, injury data, and prehospital and first ED vital signs were abstracted. Prehospital and initial ED vital signs were compared using Bland-Altman intraclass correlation coefficients (ICC) with good agreement as >0.60; fair as 0.40-0.60; and poor as <0.40).
Results:
After exclusions, 15,320 patients were included. Mean age was 39 years (range 0-105) and 11,622 patients (76%) were male. Mechanism of injury was blunt in 79% (n = 12,041) and mortality was three percent (n = 513). Mean transport time was 21 minutes (range 0-1,439). Prehospital and first ED vital signs demonstrated good agreement for Glasgow Coma Scale (GCS) score (ICC 0.79; 95% CI, 0.77-0.79); fair agreement for heart rate (HR; ICC 0.59; 95% CI, 0.56-0.61) and systolic blood pressure (SBP; ICC 0.48; 95% CI, 0.46-0.49); and poor agreement for pulse pressure (PP; ICC 0.32; 95% CI, 0.30-0.33) and respiratory rate (RR; ICC 0.13; 95% CI, 0.11-0.15).
Conclusion:
Despite challenges in prehospital assessments, field GCS, SBP, and HR correlate well with first ED vital signs. The data show that these prehospital measurements accurately predict initial ED vitals in an urban setting with short transport times. The generalizability of these data to settings with longer transport times is unknown.
An earthquake is a hazard that may cause urgent needs requiring international assistance. To ensure rapid funding for such needs-based humanitarian assistance, swift decisions are needed. However, data to guide needs-based funding decisions are often missing in the acute phase, causing delays. Instead, it may be feasible to use data building on existing indexes that capture hazard and vulnerability information to serve as a rapid tool to prioritize funding according to the scale of needs: needs-based funding. However, to date, it is not known to what extent the indicators in the indexes can predict the scale of disaster needs. The aim of this study was to identify predictors for the scale of disaster needs after earthquakes.
Methodology:
The predictive performance of vulnerability indicators and outcome indicators of four commonly used disaster risk and severity indexes were assessed, both individually and in different combinations, using linear regression. The number of people who reportedly died or who were affected was used as an outcome variable for the scale of needs, using data from the Emergency Events Database (EM-DAT) provided by the Centre for Research on the Epidemiology of Disasters at the Université Catholique de Louvain (CRED; Brussels, Belgium) from 2007 through 2016. Root mean square error (RMSE) was used as the performance measure.
Results:
The assessed indicators did not predict the scale of needs. This attempt to create a multivariable model that included the indicators with the lowest RMSE did not result in any substantially improved performance.
Conclusion:
None of the indicators, nor any combination of the indicators, used in the four assessed indexes were able to predict the scale of needs in the assessed earthquakes with any precision.
Early and accurate prediction of survival to hospital discharge following resuscitation after cardiac arrest (CA) is a major challenge. Biomarkers can be used for early and accurate prediction of survival and prognosis following resuscitation after CA, but none of those identified so far are sufficient by themselves.
Hypothesis/Problem:
The goal of this study was to investigate the predictive power of the serum copeptin level for determining the return of spontaneous circulation (ROSC) and prognosis of patients with non-traumatic out-of-hospital cardiac arrest (OHCA) who underwent cardiopulmonary resuscitation (CPR).
Methods:
A total of 76 consecutive consenting adult patients who were diagnosed as non-traumatic OHCA and 63 age- and sex-matched healthy controls were enrolled. The patients were divided into two groups based on whether or not they had ROSC. The ROSC group was divided into two sub-groups according to whether death occurred within 24 hours or after 24 hours following ROSC. Serum copeptin, high-sensitivity cardiac troponin (hs-cTnI), creatine kinase-muscle/brain (CK-MB), glucose, and blood gas values were compared between the groups.
Results:
Serum copeptin levels were significantly higher in the patient group than control group (P <.001). Receiving operator characteristic analysis revealed a cut-off copeptin level of 27.29pmol/L, with 98.7% sensitivity and 100.0% specificity, for distinguishing patients from controls. Serum copeptin levels were significantly lower in the ROSC group than non-ROSC group (P = .018). Additionally, the mean serum hs-cTnI level was significantly higher in the ROSC group than non-ROSC group (P = .032). However, there were no significant differences in the mean serum glucose level and CK-MB levels or arterial blood gas levels between the ROSC and non-ROSC groups (all P >.05).
Ten (38.5%) of the patients died within the first 24 hours after ROSC, whereas 16 (61.5%) survived longer than 24 hours. Serum copeptin levels were significantly lower in patients who survived longer than 24 hours compared with those who died within the first 24 hours. Moreover, the mean CPR duration was significantly lower in patients surviving more than 24 hours compared with less than 24 hours.
Conclusion:
The serum copeptin level may serve as a guide in diagnostic decision making to predict ROSC in patients undergoing CPR and determining the short-term prognosis of patients with ROSC.
This team created a manual to train clinics in low- and middle-income countries (LMICs) to effectively respond to disasters. This study is a follow-up to a prior study evaluating disaster response. The team returned to previously trained clinics to evaluate retention and performance in a disaster simulation.
Background:
Local clinics are the first stop for patients when disaster strikes LMICs. They are often under-resourced and under-prepared to respond to patient needs. Further effort is required to prepare these crucial institutions to respond effectively using the Incident Command System (ICS) framework.
Methods:
Two clinics in the North East Region of Haiti were trained through a disaster manual created to help clinics in LMICs respond effectively to disasters. This study measured the clinic staff’s response to a disaster drill using the ICS and compared the results to prior responses.
Results:
Using the prior study’s evaluation scale, clinics were evaluated on their ability to set up an ICS. During the mock disaster, staff was evaluated on a three-point scale in 13 different metrics, grading their ability to mitigate, prepare, respond, and recover in a disaster. By this scale, both clinics were effective (36/39; 92%) in responding to a disaster.
Conclusion:
The clinics retained much prior training, and after repeat training, the clinics improved their disaster response. Future study will evaluate the clinics’ ability to integrate disaster response with country-wide health resources to enable an effective outcome for patients.
Countries most affected by disasters are often those with limited local capacity to respond. When local capacity is overwhelmed, international humanitarian response often provides needs-based emergency response. Despite global progress in education and the development of international humanitarian response standards, access to training and integration of local actors in response mechanisms remains limited. In May 2017, the Haiti Humanitarian Response Course (HHRC) was implemented in Mirebalais, Haiti to increase local capacity and allow for effective future engagement with international humanitarian actors in a country prone to disasters.
Report:
In collaboration with the Hôpital Universitaire de Mirebalais’ (HUM; Mirebalais, Haiti) Department of Medical Education and Emergency Medicine (EM) residency program, four physicians from the Division of Global Emergency Care and Humanitarian Studies at Brigham and Women’s Hospital (Boston, Massachusetts USA) facilitated the course, which included 53 local physicians and staff. Following 15 hours of online pre-course preparation, through didactics and practical small-group exercises, the course focused on key components of international humanitarian response, minimum standards for effective response, and the roles of key response players. The course was free to participants and taught in English and French.
Discussion:
The HHRC reduced the barriers often faced by local actors who seek training in international humanitarian response by offering free training in their own community. It presents a novel approach to narrow critical gaps in training local populations in international humanitarian response, especially in environments prone to crises and disasters. This approach can help local responders better access international humanitarian response mechanisms when the local response capacity is exhausted or overwhelmed.
Conclusion:
The HHRC demonstrates a potential new model for humanitarian and disaster training and offers a model for similar programs in other disaster-prone countries. Ultimately, local capacity building could lead to more efficient resource utilization, improved knowledge sharing, and better disaster response.
Mass-gathering events (MGEs) are commonly associated with a higher than average rate of morbidity. Spectators, workers, and the substantial number of MGE attendees can increase the spread of communicable diseases. During an MGE, emergency departments (EDs) play an important role in offering health care services to both residents of the local community and event attendees. Syndromic indicators (SIs) are widely used in an ED surveillance system for early detection of communicable diseases.
Aim:
This literature review aimed to develop an understanding of the effect of MGEs on ED patient presentations with communicable diseases and their corresponding SIs.
Method:
An integrative literature review methodology was used. Online databases were searched to retrieve relevant academic articles that focused on MGEs, EDs, and SIs. Inclusion/exclusion criteria were applied to screen articles. The Standard Quality Assessment Criteria for Evaluating Primary Research (QualSyst) assessment tool was used to assess the quality of included papers.
Results:
Eleven papers were included in this review; all discussed the impact of an MGE on patient presentations with communicable diseases at EDs/hospitals. Most included studies used the raw number of patients who presented or were admitted to EDs/hospitals to determine impact. Further, the majority of studies focused on either respiratory infections (n = 4) or gastrointestinal infections (n = 2); two articles reported on both. Eight articles mentioned SIs; however, such information was limited. The quality of evidence (using QualSyst) ranged from 50% to 90%.
Conclusions:
Limited research exists on the impact of MGEs on ED presentations with communicable diseases and related SIs. Recommendations for future MGE studies include assessing differences in ED presentations with communicable diseases regarding demographics, clinical characteristics, and outcomes before, during, and after the event. This would benefit health care workers and researchers by offering more comprehensive knowledge for application into practice.
Stroke is a major emergency that can cause a significant morbidity and mortality. Advancement in stroke management in recent years has allowed more patients to be diagnosed and treated by stroke teams; however, stroke is a time-sensitive emergency that requires a high level of coordination, particularly within the prehospital phase. This research is to determine whether patients received by Emergency Medical Services (EMS) at a tertiary health care facility had shorter stroke team activation, time to computed tomography (CT), or time to receive intravenous thrombolytics.
Methods:
This research is a prospective cohort study of adults with stroke symptoms who required stroke team activation at a tertiary medical facility. The study included all patients received from September 1, 2017 through August 31, 2018. The primary outcome was the time difference to stroke team activation between patients received by EMS compared to patients that arrived by a private method of transportation. The secondary outcomes were the difference in time to CT scan and the time to receive intravenous recombinant tissue plasminogen activator (rtPA).
Results:
There were 75 (34.1%) patients who had been received by EMS, while 145 (65.9%) patients arrived via private transportation method (private car or by a friend/family member). The mean time to stroke team activation, time to CT, and time to receive thrombolytic therapy for the EMS group were: 8.19 (95% CI, 6.97 - 9.41) minutes; 18 (95% CI, 15.9 - 20.1) minutes; and 13.1 (95% CI, 6.95 - 19.3) minutes, respectively. Those for the private car group, on the other hand, were: 16 (95% CI, 12.4 - 19.6) minutes; 23.39 (95% CI, 19.6 - 27.2) minutes; and nine (95% CI, 4.54 -13.5) minutes, respectively. There was a significantly shorter time to stroke team activation for patients arriving via EMS compared to private car (P ≤ .00), but no significant difference was found on time to CT (P = .259) or time to receive rtPA (P = .100).
Conclusion:
Emergency Medical Service transportation of stroke patients can significantly shorten the time to stroke team activation, leading to shorter triage and accelerated patient management. However, there was no statistical difference in time to CT or time to receive rtPA. Patients with stroke symptoms may benefit more from EMS transportation compared to private methods of transportation.
The Sydney City-2-Surf (Australia) fun run is the world’s largest annual run entered by around 80,000 people. First aid planning at mass-participation running events such as the City-2-Surf is an area in the medical literature that has received little attention. Consequently, first aid planning for these events is based on experience rather than evidence. The models for predicting casualties that currently exist in the literature are either dated or not statistically significant.
Aim:
The aim of this study was to characterize patterns of injuries linked to geographic location across the course of the City-2-Surf, and to explore relationships of injury types with location and meteorological conditions.
Methods:
Records for formally treated casualties and meteorological conditions were obtained for the race years 2010-2016 and statistically analyzed to find associations between meteorological conditions, geographic conditions, casualty types, and location.
Results:
The most common casualties encountered were heat exhaustion or hyperthermia (39.2%), musculoskeletal (25.4%), and physical exhaustion (10.2%). Associations were found between gradient and the location. Type of casualty incidence with the individual distribution trends of casualty types were quite clear. Clusters of musculoskeletal casualties emerged in the parts of the course with the steepest negative gradients, while a cluster of cardiovascular events was found to occur at the top of the “heartbreak hill,” the longest climb of the race. Regression analysis highlighted the linear relationship between the number of heat and physical exhaustion casualties and the apparent temperature (AT) at 12:00pm (R2 = 0.59; P = .044). This linear equation was used to formulate a model to predict these casualties.
Conclusion:
The findings of this study demonstrate the relationship between meteorological conditions, geographic conditions, and casualties. This will assist planners of other similar events to determine optimum allocation of resources to anticipated injury and illness burden.
The Sort, Access, Life-saving interventions, Treatment and/or Triage (SALT) mass-casualty incident (MCI) algorithm is unique in that it includes two subjective questions during the triage process: “Is the victim likely to survive given the resources?” and “Is the injury minor?”
Hypothesis/Problem:
Given this subjectivity, it was hypothesized that as casualties increase, the inter-rater reliability (IRR) of the tool would decline, due to an increase in the number of patients triaged as Minor and Expectant.
Methods:
A pre-collected dataset of pediatric trauma patients age <14 years from a single Level 1 trauma center was used to generate “patients.” Three trained raters triaged each patient using SALT as if they were in each of the following scenarios: 10, 100, and 1,000 victim MCIs. Cohen’s kappa test was used to evaluate IRR between the raters in each of the scenarios.
Results:
A total of 247 patients were available for triage. The kappas were consistently “poor” to “fair:” 0.37 to 0.59 in the 10-victim scenario; 0.13 to 0.36 in the 100-victim scenario; and 0.05 to 0.36 in the 1,000-victim scenario. There was an increasing percentage of subjects triaged Minor as the number of estimated victims increased: 27.8% increase from 10- to 100-victim scenario and 7.0% increase from 100- to 1,000-victim scenario. Expectant triage categorization of patients remained stable as victim numbers increased.
Conclusion:
Overall, SALT demonstrated poor IRR in this study of increasing casualty counts while triaging pediatric patients. Increased casualty counts in the scenarios did lead to increased Minor but not Expectant categorizations.
The Nankai Trough, which marks the boundary between the Eurasian and Philippine Sea plates, is forecasted to create a catastrophic earthquake and tsunami within 30 years. The Japanese government believes that the number of casualties would be huge. However, the exact number of severely injured (SI) people who would need emergency and intensive care has not been identified.
Objective:
This study, therefore, aimed to clarify the gap between medical supplies and forecasted demand.
Methods:
The official data estimating the number of injured people were collected, together with the number of intensive care unit (ICU) and high care unit (HCU) beds from each prefecture throughout Japan. The number of SI cases was recalculated based on official data. The number of hospital beds was then compared with the number of SI people.
Results:
The total number of hospitals in Japan is 8,493 with 893,970 beds, including 6,556 ICU and 5,248 HCU beds. When the Nankai Trough earthquake occurs, 187 of the 723 disaster base hospitals (DBHs) would be located in the areas with a seismic intensity of an upper six on the Japanese Seismic Intensity Scale (JSIS) of seven, and 79 DBHs would be located in the tsunami inundation area. The estimated total number of injured people would be 661,604, including 26,857 severe, 290,065 moderate, and 344,682 minor cases.
Conclusion:
Even if all ICU and HCU beds were available for severe patients, an additional 15,053 beds would be needed. If 80% of beds were used in non-disaster times, the available ICU and HCU beds would be only 2,361. The Cabinet Office of Japan (Chiyoda City, Tokyo, Japan) assumes that 60% of hospital beds would be unavailable in an area with an upper six on the JSIS. The number of ICU and HCU beds that would be usable during a disaster would thus further decrease. The beds needed for severe patients, therefore, would be significantly lacking when the Nankai Trough earthquake occurs. It would be necessary to start the treatment of those severe patients who are “more likely to be saved.”