A validation study of 5 triage systems using data from the 2005 Graniteville, South Carolina, chlorine spill

Effectiveness of Distance Training Based on Simple Triage and Quick Treatment System (START) Triage System in Pre-Hospital Emergency

OBJECTIVE

Triage is the key to success in managing many injured people with limited resources. Therefore, triage training for crisis team medical staff is critical. This study aimed to evaluate the effectiveness of asynchronous learning on immediate care personnel based on the Simple Triage and Quick Treatment System (START) triage system.

METHODS

In this quasi-experimental study, asynchronous learning based on the START triage system was performed on the immediate care staff of Ahvaz Jundishapur University of Medical Sciences from February 2021 to December 2021. Sixty pre-hospital emergency medical staff were randomly assigned to intervention and control groups. Intervention group participants were provided an asynchronous digital training module, and control group participants received the usual training. Data were collected in both groups as pre-test and post-test with demographic information and knowledge assessment questionnaires.

RESULTS

Distance triage training based on the START triage system has a significant effect on the level of awareness of the need for triage and knowledge (awareness) and performance (individual efficiency) of immediate care in the intervention group compared to before training (P < 0.001).

CONCLUSION

Considering the positive results of the pre-organizing model on raising the level of awareness of immediate care personnel, the use of this training method in triage in emergency medicine and retraining workshops could be considered.

Lessons Learned From a Chlorine Gas Leakage in Dezful City, Iran

Dezful is the capital of Dezful County, a city in Khuzestan Province, Iran. On August 12, 2017, after a chlorine gas leakage in Dezful, more than 475 people were affected by chlorine gas, and they all suffered from respiratory complications. A lot of problems were encountered in the preparation of the relief forces and organization of the blueprint on how to respond to the incident, such as lack of knowledge on establishment of danger zone, lack of warning system, lack of proper triage and absence of decontamination plans, lack of special chemical safety outfit and respiratory equipment for rescuers, lack of instructions for proper handling, lack of knowledge in dealing with this type of disaster, and inappropriate evacuation skills and failure to cordon off and insure the location of the incident. Although the initial measures to arrest this crisis was performed based on the health system's instructions of the country with regard to all the possible risks, lack of a comprehensive inter-organizational program and prevention plans, lack of control plans, lack of adequate preparation and response to chemical poisoning, lack of foresight, lack of a risk plan, and lack of an intervention plan for these incidents were the reasons for the damages and problems encountered after the crisis.

Clinical Presentations and Outcomes of Industrial Chlorine Gas Exposure Incidence in Oman

OBJECTIVE

The main objective was to study different clinical presentations and outcomes of patients after acute industrial chlorine gas exposure in Oman with evaluation of overall incident management to help develop a chemical exposure incident protocol.

METHODS

This was a retrospective observational study of 15 patients exposed to chlorine gas after an accidental chlorine gas leak in a metal melting factory in Oman.

RESULTS

Six (40%) patients were admitted and nine (60%) patients were discharged from the emergency department (ED) after initial management. The important post-chlorine gas exposure clinical symptoms were eye irritation (66.6%), cough (73.3%), shortness of breath (40.0%), chest discomfort (66.6%), rhinorrhea (66.6%), dizziness (40.0%), vomiting (46.6%), sore throat (13.3%), and stridor (53.3%). Important signs included tachycardia (40.0%), tachypnea (40.0%), wheeze (20.0%), and use of accessory muscles for breathing (20.0%). Signs and symptoms of eye irritation, rhinorrhea, tachycardia, tachypnea, wheeze, and use of accessory muscles for breathing have shown significant correlation with outcome (admission) having P value of <.05.

CONCLUSION

In the presented acute chlorine gas exposure incidence, 15 exposed persons were brought to the ED, out of which six were admitted and nine were discharged after symptomatic treatment. Signs and symptoms of eye irritation, rhinorrhea, tachycardia, tachypnea, wheeze, and use of accessory muscles of breathing show significant relation with the outcome of admission.

Brain Tumor Analysis Empowered with Deep Learning: A Review, Taxonomy, and Future Challenges

Deep Learning (DL) algorithms enabled computational models consist of multiple processing layers that represent data with multiple levels of abstraction. In recent years, usage of deep learning is rapidly proliferating in almost every domain, especially in medical image processing, medical image analysis, and bioinformatics. Consequently, deep learning has dramatically changed and improved the means of recognition, prediction, and diagnosis effectively in numerous areas of healthcare such as pathology, brain tumor, lung cancer, abdomen, cardiac, and retina. Considering the wide range of applications of deep learning, the objective of this article is to review major deep learning concepts pertinent to brain tumor analysis (e.g., segmentation, classification, prediction, evaluation.). A review conducted by summarizing a large number of scientific contributions to the field (i.e., deep learning in brain tumor analysis) is presented in this study. A coherent taxonomy of research landscape from the literature has also been mapped, and the major aspects of this emerging field have been discussed and analyzed. A critical discussion section to show the limitations of deep learning techniques has been included at the end to elaborate open research challenges and directions for future work in this emergent area.

Designing and executing a functional exercise to test a novel informatics tool for mass casualty triage

OBJECTIVE

The testing of informatics tools designed for use during mass casualty incidents presents a unique problem as there is no readily available population of victims or identical exposure setting. The purpose of this article is to describe the process of designing, planning, and executing a functional exercise to accomplish the research objective of validating an informatics tool specifically designed to identify and triage victims of irritant gas syndrome agents.

MATERIALS AND METHODS

During a 3-year time frame, the research team and partners developed the Emergency Department Informatics Computational Tool and planned a functional exercise to test it using medical records data from 298 patients seen in 1 emergency department following a chlorine gas exposure in 2005.

RESULTS

The research team learned valuable lessons throughout the planning process that will assist future researchers with developing a functional exercise to test informatics tools. Key considerations for a functional exercise include contributors, venue, and information technology needs (ie, hardware, software, and data collection methods).

DISCUSSION

Due to the nature of mass casualty incidents, testing informatics tools and technology for these incidents is challenging. Previous studies have shown a functional exercise as a viable option to test informatics tools developed for use during mass casualty incidents.

CONCLUSION

Utilizing a functional exercise to test new mass casualty management technology and informatics tools involves a painstaking and complex planning process; however, it does allow researchers to address issues inherent in studying informatics tools for mas casualty incidents.

Real-Time Remote Health-Monitoring Systems in a Medical Centre: A Review of the Provision of Healthcare Services-Based Body Sensor Information, Open Challenges and Methodological Aspects

Promoting patient care is a priority for all healthcare providers with the overall purpose of realising a high degree of patient satisfaction. A medical centre server is a remote computer that enables hospitals and physicians to analyse data in real time and offer appropriate services to patients. The server can also manage, organise and support professionals in telemedicine. Therefore, a remote medical centre server plays a crucial role in sustainably delivering quality healthcare services in telemedicine. This article presents a comprehensive review of the provision of healthcare services in telemedicine applications, especially in the medical centre server. Moreover, it highlights the open issues and challenges related to providing healthcare services in the medical centre server within telemedicine. Methodological aspects to control and manage the process of healthcare service provision and three distinct and successive phases are presented. The first phase presents the identification process to propose a decision matrix (DM) on the basis of a crossover of 'multi-healthcare services' and 'hospital list' within intelligent data and service management centre (Tier 4). The second phase discusses the development of a DM for hospital selection on the basis of integrated VIKOR-Analytic Hierarchy Process (AHP) methods. Finally, the last phase examines the validation process for the proposed framework.

Mobile Decision Support Tool for Emergency Departments and Mass Casualty Incidents (EDIT): Initial Study

BACKGROUND

Chemical exposures pose a significant threat to life. A rapid assessment by first responders and emergency nurses is required to reduce death and disability. Currently, no informatics tools exist to process victims of chemical exposures efficiently. The surge of patients into a hospital emergency department during a mass casualty incident creates additional stress on an already overburdened system, potentially placing patients at risk and challenging staff to process patients for appropriate care and treatment efficacy. Traditional emergency department triage models are oversimplified during highly stressed mass casualty incident scenarios in which there is little margin for error. Emerging mobile technology could alleviate the burden placed on nurses by allowing the freedom to move about the emergency department and stay connected to a decision support system.

OBJECTIVE

This study aims to present and evaluate a new mobile tool for assisting emergency department personnel in patient management and triage during a chemical mass casualty incident.

METHODS

Over 500 volunteer nurses, students, and first responders were recruited for a study involving a simulated chemical mass casualty incident. During the exercise, a mobile application was used to collect patient data through a kiosk system. Nurses also received tablets where they could review patient information and choose recommendations from a decision support system. Data collected was analyzed on the efficiency of the app to obtain patient data and on nurse agreement with the decision support system.

RESULTS

Of the 296 participants, 96.3% (288/296) of the patients completed the kiosk system with an average time of 3 minutes, 22 seconds. Average time to complete the entire triage process was 5 minutes, 34 seconds. Analysis of the data also showed strong agreement among nurses regarding the app's decision support system. Overall, nurses agreed with the system 91.6% (262/286) of the time when it came to choose an exposure level and 84.3% (241/286) of the time when selecting an action.

CONCLUSIONS

The app reliably demonstrated the ability to collect patient data through a self-service kiosk system thus reducing the burden on hospital resources. Also, the mobile technology allowed nurses the freedom to triage patients on the go while staying connected to a decision support system in which they felt would give reliable recommendations.

Validation of a novel irritant gas syndrome triage algorithm

OBJECTIVE

Our objective was to validate a novel irritant gas syndrome agent (IGSA) triage algorithm for use in an emergency department (ED). We assessed efficiency, accuracy, and precision of our IGSA triage algorithm based on signs/symptoms of actual patients.

DESIGN

After characterizing the signs/symptoms of an actual IGSA exposure event, we developed and validated the IGSA triage algorithm using a simulated computer exercise to compare the IGSA triage algorithm to the preferred hospital triage algorithm, the Emergency Severity Index (ESI).

SETTING

This study was a simulated computer exercise using surveys developed in Research Electronic Data Capture software. Nurse volunteers simulated triaging 298 patients.

PARTICIPANTS

Patient data included 146 patients treated during the disaster as well as 152 unexposed patients. Twenty-six nurse volunteers were assigned to triage the patients using one of the algorithms in the simulated computer exercise.

MAIN OUTCOME MEASURE(S)

The precision of the IGSA triage algorithm was 0.82 (confidence interval [CI] 0.78-0.85) and ESI 0.73 (CI 0.69-0.77). Weighted κ for ESI and IGSA accuracy for exposed patients was 0.32 (95% CI 0.26-0.37) and 0.81 (95% CI 0.77-0.85), respectively.

RESULTS

The IGSA triage algorithm was more accurate and precise than the ESI algorithm for triaging patients exposed to an irritant gas.

CONCLUSIONS

This study validates the IGSA triage algorithm as the basis for the development of a prototype software application to quickly identify victims of a chemical disaster and triage patients efficiently and accurately with the potential to dramatically improve the processing of patients in EDs.

Management of Multi-Casualty Incidents in Mountain Rescue: Evidence-Based Guidelines of the International Commission for Mountain Emergency Medicine (ICAR MEDCOM)

Blancher, Marc, François Albasini, Fidel Elsensohn, Ken Zafren, Natalie Hölzl, Kyle McLaughlin, Albert R. Wheeler III, Steven Roy, Hermann Brugger, Mike Greene, and Peter Paal. Management of multi-casualty incidents in mountain rescue: Evidence-based guidelines of the International Commission for Mountain Emergency Medicine (ICAR MEDCOM). High Alt Med Biol. 19:131–140, 2018.

Introduction: Multi-Casualty Incidents (MCI) occur in mountain areas. Little is known about the incidence and character of such events, and the kind of rescue response. Therefore, the International Commission for Mountain Emergency Medicine (ICAR MEDCOM) set out to provide recommendations for the management of MCI in mountain areas.

Materials and Methods: Details of MCI occurring in mountain areas related to mountaineering activities and involving organized mountain rescue were collected. A literature search using (1) PubMed, (2) national mountain rescue registries, and (3) lay press articles on the internet was performed. The results were analyzed with respect to specific aspects of mountain rescue.

Results: We identified 198 MCIs that have occurred in mountain areas since 1956: 137 avalanches, 38 ski lift accidents, and 23 other events, including lightning injuries, landslides, volcanic eruptions, lost groups of people, and water-related accidents.

Discussion: General knowledge on MCI management is required. Due to specific aspects of triage and management, the approach to MCIs may differ between those in mountain areas and those in urban settings.

Conclusions: Mountain rescue teams should be prepared to manage MCIs. Knowledge should be reviewed and training performed regularly. Cooperation between terrestrial rescue services, avalanche safety authorities, and helicopter crews is critical to successful management of MCIs in mountain areas.

Prognostic performance of Emergency Severity Index (ESI) combined with qSOFA score

OBJECTIVE

We conducted this study to investigate whether ESI combined with qSOFA score (ESI+qSOFA) predicts hospital outcome better than ESI alone in the emergency department (ED).

METHODS

This was a retrospective study for patients aged over 15years who visited an ED of a tertiary referral hospital from January 1st, 2015 to December 31st, 2015. We calculated and compared predictive performances of ESI alone and ESI+qSOFA for prespecified outcomes. The primary outcome was hospital mortality, and the secondary outcome was composite outcome of in-hospital mortality and ICU admission. We calculated in-hospital mortality rates by positive qSOFA in each subgroup divided according to ESI levels (1, 2, 3, 4+5).

RESULTS

43,748 patients were enrolled. The area under receiver-operating characteristics curves were higher in ESI+qSOFA than in ESI alone for both mortality and composite outcome (0.786 vs. 0.777, P<.001 for mortality; 0.778 vs. 0.774, P<.001 for composite outcome). In each subgroup divided by ESI levels, patients with positive qSOFA had significantly higher in-hospital mortality rate compared to those with negative qSOFA (20.4% vs. 14.7%, P=.117 in ESI level 1 subgroup; 11.3% vs. 2.7%, P=.001 in ESI level 2 subgroup; 2.3% vs. 0.4%, P<.001 in ESI level 3 subgroup; 0.0% vs. 0.0% in ESI level 4 or 5 subgroup).

CONCLUSION

The prognostic performance of ESI+qSOFA for in-hospital mortality was significantly higher than that of ESI alone. Within each subgroup, patients with positive qSOFA had higher in-hospital mortality compared to those with negative qSOFA.

Data Capture and Analysis of Signs and Symptoms in a Chemically Exposed Population

This manuscript provides a practical case study to demonstrate data collection from paper-based medical records so that the occurrence of specific signs/symptoms indicative of a chemical exposure can be studied.

Based Real Time Remote Health Monitoring Systems: A Review on Patients Prioritization and Related "Big Data" Using Body Sensors information and Communication Technology

The growing worldwide population has increased the need for technologies, computerised software algorithms and smart devices that can monitor and assist patients anytime and anywhere and thus enable them to lead independent lives. The real-time remote monitoring of patients is an important issue in telemedicine. In the provision of healthcare services, patient prioritisation poses a significant challenge because of the complex decision-making process it involves when patients are considered 'big data'. To our knowledge, no study has highlighted the link between 'big data' characteristics and real-time remote healthcare monitoring in the patient prioritisation process, as well as the inherent challenges involved. Thus, we present comprehensive insights into the elements of big data characteristics according to the six 'Vs': volume, velocity, variety, veracity, value and variability. Each of these elements is presented and connected to a related part in the study of the connection between patient prioritisation and real-time remote healthcare monitoring systems. Then, we determine the weak points and recommend solutions as potential future work. This study makes the following contributions. (1) The link between big data characteristics and real-time remote healthcare monitoring in the patient prioritisation process is described. (2) The open issues and challenges for big data used in the patient prioritisation process are emphasised. (3) As a recommended solution, decision making using multiple criteria, such as vital signs and chief complaints, is utilised to prioritise the big data of patients with chronic diseases on the basis of the most urgent cases.

Medium Access Control (MAC) for Wireless Body Area Network (WBAN): Superframe structure, multiple access technique, taxonomy, and challenges

Health monitoring using biomedical sensors has witnessed significant attention in recent past due to the evolution of a new research area in sensor network known as Wireless Body Area Networks (WBANs). In WBANs, a number of implantable, wearable, and off-body biomedical sensors are utilized to monitor various vital signs of patient’s body for early detection, and medication of grave diseases. In literature, a number of Medium Access Control (MAC) protocols for WBANs have been suggested for addressing the unique challenges related to reliability, delay, collision and energy in the new research area. The design of MAC protocols is based on multiple access techniques. Understanding the basis of MAC protocol designs for identifying their design objectives in broader perspective, is a quite challenging task. In this context, this paper qualitatively reviews MAC protocols for WBANs. Firstly, 802.15.4 and 802.15.6 based MAC Superframe structures are investigated focusing on design objectives. Secondly, different multiple access techniques such as TDMA, CSMA/CA, Slotted Aloha and Hybrid are explored in terms of design goals. Thirdly, a two-layered taxonomy is presented for MAC protocols. First layer classification is based on multiple access techniques, whereas second layer classification is based on design objectives and characteristics of MAC protocols. Critical and qualitative analysis is carried out for each considered MAC protocol. Comparative study of different MAC protocols is also performed. Finally, some open research challenges in the area are identified with initial research directions.

Exposure of neonatal mice to bromine impairs their alveolar development and lung function

The halogen bromine (Br₂) is used extensively in industry and stored and transported in large quantities. Its accidental or malicious release into the atmosphere has resulted in significant casualties. The pathophysiology of Br₂-induced lung injury has been studied in adult animals, but the consequences of Br₂ exposure to the developing lung are completely unknown. We exposed neonatal mouse littermates on postnatal day 3 (P3) to either Br₂ at 400 ppm for 30 min (400/30), to Br₂ at 600 ppm for 30 min (600/30), or to room air, then returned them to their dams and observed until P14. Mice exposed to Br₂ had decreased survival (S) and had decreased weight (W) at P14 in the 400/30 group (S = 63.5%, W = 6.67 ± 0.08) and in the 600/30 group (S = 36.1%, W = 5.13 ± 0.67) as compared with air breathing mice (S = 100%, W = 7.96 ± 0.30). Alveolar development was impaired, as evidenced by increased mean linear intercept at P14. At P14, Br₂ exposed mice also exhibited a decrease of arterial partial pressure of oxygen, decreased quasi-static lung compliance, as well as increased alpha smooth muscle actin mRNA and protein and increased mRNA for IL-1β, IL-6, CXCL1, and TNFα. Global gene expression, evaluated by RNA sequencing and Ingenuity Pathway Analysis, revealed persistent abnormalities in gene expression profiles at P14 involving pathways of "formation of lung" and "pulmonary development." The data indicate that Br₂ inhalation injury early in life results in severe lung developmental consequences, wherein persistent inflammation and global altered developmental gene expression are likely mechanistic contributors.

Validating Signs and Symptoms From An Actual Mass Casualty Incident to Characterize An Irritant Gas Syndrome Agent (IGSA) Exposure: A First Step in The Development of a Novel IGSA Triage Algorithm

CONTRIBUTION TO EMERGENCY NURSING PRACTICE

• Chemical exposures daily pose a significant threat to life. Rapid assessment by first responders/emergency nurses is required to reduce death and disability. Currently, no informatics tools for Irritant Gas Syndrome Agents (IGSA) exposures exist to process victims efficiently, continuously monitor for latent signs/symptoms, or make triage recommendations. • This study uses actual patient data from a chemical incident to characterize and validate signs/symptoms of an IGSA Syndrome. Validating signs/symptoms is the first step in developing new emergency department informatics tools with the potential to revolutionize the process by which emergency nurses manage triage victims of chemical incidents.

ABSTRACTINTRODUCTION

Chemical exposures can pose a significant threat to life. Rapid assessment by first responders/emergency nurses is required to reduce death and disability. Currently, no informatics tools for irritant gas syndrome agents (IGSA) exposures exist to process victims efficiently, continuously monitor for latent signs/symptoms, or make triage recommendations. This study describes the first step in developing ED informatics tools for chemical incidents: validation of signs/symptoms that characterize an IGSA syndrome.

METHODS

Data abstracted from 146 patients treated for chlorine exposure in one emergency department during a 2005 train derailment and 152 patients not exposed to chlorine (a comparison group) were mapped to 93 possible signs/symptoms within 2 tools (WISER and CHEMM-IST) designed to assist emergency responders/emergency nurses with managing hazardous material exposures. Inferential statistics (χ²/Fisher's exact test) and diagnostics tests were used to examine mapped signs/symptoms of persons who were and were not exposed to chlorine.

RESULTS

Three clusters of signs/symptoms are statistically associated with an IGSA syndrome (P < .01): respiratory (shortness of breath, wheezing, coughing, and choking); chest discomfort (tightness, pain, and burning), and eye, nose and/or throat (pain, irritation, and burning). The syndrome requires the presence of signs/symptoms from at least 2 of these clusters. The latency period must also be considered for exposed/potentially exposed persons.

DISCUSSION

This study uses actual patient data from a chemical incident to characterize and validate signs/symptoms of an IGSA syndrome. Validating signs/symptoms is the first step in developing new ED informatics tools with the potential to revolutionize the process by which emergency nurses manage triage victims of chemical incidents.