Disaster preparedness: A concept analysis and its application to the intensive care unit

ObjectivesThe aim of the study is to understand the concept of disaster preparedness in relation to the intensive care unit through the review and critique of the peer-reviewed literature.Review method usedRodgers' method of evolutionary concept analysis was used in the study.Data sourcesHealthcare databases included in the review were Cumulative Index to Nursing and Allied Health Literature, Public MEDLINE, Scopus, and ProQuest.Review methodsElectronic data bases were searched using terms such as “intensive care unit” OR “critical care” AND prep1 OR readiness OR plan1 AND disaster1 OR “mass casualty incidents” OR “natural disaster” OR “disaster planning” NOT paed1 OR ped1 OR neonat1. Peer-reviewed articles published in English between January 2000 and April 2020 that focused on intensive care unit disaster preparedness or included intensive care unit disaster preparedness as part of a facility-wide strategy were included in the analysis.ResultsEighteen articles were included in the concept analysis. Fourteen different terms were used to describe disaster preparedness in intensive care. Space, physical resources, and human resources were attributes that relied on each other and were required in sufficient quantities to generate an adequate response to patient surges from disasters. When one attribute is extended beyond normal operational capacities, the effectiveness and capacity of the other attributes will likely be limited.ConclusionThis concept analysis has shown the varied language used when referring to disaster preparedness relating to the intensive care unit within the research literature. Attributes including space, physical resources, and human resources were all found to be integral to a disaster response. Future research into what is required of these attributes to generate an all-hazards approach in disaster preparedness in intensive care units will contribute to optimising standards of care.     

Transfusion emergency preparedness for mass casualty events

Transfusion emergency preparedness is increasingly being recognized as an important element in the healthcare response to mass casualty events (MCE). Planning should be designed to support an integrated response between the blood services and hospitals. The lessons identified from the Manchester Arena bombing in 2017 and recent incidents in London have led to new guidance. Demand planning has been informed by the global experience of civilian MCEs and the changing trends in trauma care. Past evidence suggests that only a modest number of hospitalized patients following MCEs require transfusion. The mean blood use per patient admitted is consistently calculated at 2–3 red cell units. Most blood is used within the first 6 h. However, a small number of critically injured with multi‐trauma may require massive transfusion and ongoing support. Many blood services have reported meeting the initial overall demand for blood from stock. However, universal components may be in short supply. The demand can be managed by pre‐agreed substitutions. Early transfusion triage enables the best use of hospital laboratory and blood service support. Careful communication with donor communities is essential to manage a controlled replenishment of stocks. Future challenges for the transfusion community include the trend towards lower red cell stock holdings and the changing trends in weapon use and tactics. A standardized approach to transfusion data collection is required to support future planning. The transfusion community is encouraged to plan for MCEs, contribute to ‘after action reviews’ and work together for safe and sustainable transfusion support.     

Burn mass casualty incidents in Europe: A European response plan within the European Union Civil Protection Mechanism

BackgroundBurn care is centralized in highly specialized burn centers in Europe. These centers are of limited capacity and may be overwhelmed by a sudden surge in case of a burn mass casualty incident. Prior incidents in Europe and abroad have sustained high standards of care through well-orchestrated responses to share the burden of care in several burn centers. A burn mass casualty incident in Romania in 2015 sparked an initiative to strengthen the existing EU mechanisms. This paper aims to provide insight into developing a response plan for burn mass casualties within the EU Civil Protection Mechanism.MethodsThe European Burns Association drafted medical guidelines for burn mass casualty incidents based on a literature review and an in-depth analysis of the Romanian incident. An online questionnaire surveyed European burn centers and EU States for burn mass casualty preparedness.ResultsThe Romanian burn mass casualty in 2015 highlighted the lack of a burn-specific mechanism, leading to the late onset of international transfers. In Europe, 71% of respondents had existing mass casualty response plans, though only 35% reported having a burn-specific plan. A burns response plan for burn mass casualties was developed and adopted as a Commission staff working document in preparation for further implementation. The plan builds on the existing Union Civil Protection Mechanism framework and the standards of the WHO Emergency Medical Teams initiative to provide 1) burn assessment teams for specialized in-hospital triage of patients, 2) specialized burn care across European burn centers, and 3) medevac capacities from participating states.ConclusionThe European burn mass casualty response plan could enable the delivery of high-level burn care in the face of an overwhelming incident in an affected European country. Further steps for integration and implementation of the plan within the Union Civil Protection Mechanism framework are needed.     

Recommendations for burns care in mass casualty incidents: WHO Emergency Medical Teams Technical Working Group on Burns (WHO TWGB) 2017-2020

Health and logistical needs in emergencies have been well recognised. The last 7 years has witnessed improved professionalisation and standardisation of care for disaster affected communities – led in part by the World Health Organisation Emergency Medical Team (EMT) initiative.Mass casualty incidents (MCIs) resulting in burn injuries present unique challenges. Burn management benefits from specialist skills, expert knowledge, and timely availability of specialist resources. With burn MCIs occurring globally, and wide variance in existing burn care capacity, the need to strengthen burn care capability is evident. Although some high-income countries have well-established disaster management plans, including burn specific plans, many do not – the majority of countries where burn mass casualty events occur are without such established plans. Developing globally relevant recommendations is a first step in addressing this deficit and increasing preparedness to deal with such disasters.Global burn experts were invited to a succession of Technical Working Group on burns (TWGB) meetings to:1) review literature on burn care in MCIs; and2) define and agree on recommendations for burn care in MCIs.The resulting 22 recommendations provide a framework to guide national and international specialist burn teams and health facilities to support delivery of safe care and improved outcomes to burn patients in MCIs.     

The Ilizarov method for the treatment of complex tibial fractures and non-unions in a mass casualty setting: the 2005 earthquake in Pakistan

We report our experience in treating victims of the recent earthquake disaster in Pakistan. Our experience was based on two humanitarian missions to Islamabad: one in October 2005, 10 days after the earthquake, and the second in January 2006. The mission consisted of a team of orthopaedic surgeons and a second team of plastic surgeons. The orthopaedic team bought all the equipment for application of Ilizarov external fixators. We treated patients who had already received basic treatment in the region of the disaster and subsequently had been evacuated to Islamabad. During the first visit, we treated 12 injured limbs in 11 patients. Four of these patients were children. All cases consisted of complex multifragmentary fractures associated with severe crush injuries. All fractures involved the tibia, which were treated with Ilizarov external fixators. Nine fractures were type 3b open injuries. Eight were infected requiring debridement of infected bone and acute shortening. During a second visit, we reviewed all patients treated during our first mission. In addition, we treated 13 new patients with complex non-unions. Eight of these patients were deemed to be infected. All patients had previous treatment with monolateral fixators as well as soft tissue coverage procedures, except one patient who had had an IEF applied by another team. All these patients had revision surgery with circular frames. All patients from both groups were allowed to fully weight-bear post-operatively, after a short period of elevation to allow the flaps to take. Overall, all fractures united except one case who eventually had an amputation. Four patients had a corticotomy and lengthening, and three of them had a successful restoration of limb length. The fourth patient was the one with the eventual amputation.     

中国维和军医战伤救治技能培训效果评估

目的 通过调查中国部署前维和军医战伤救治能力现状,分析维和军医战伤救治技能培训中存在的问题,为完善培训内容提供借鉴.方法 采取整群抽样法,纳入部署前中国维和分队一级医院军医作为研究对象,通过问卷调查法、理论考核、桌面推演和实训演练(包括现场评估、检伤分类、胸腔闭式引流术),对35名完成战伤救治培训的维和军医进行调查.问卷条目采用Likert 5级评分法评估,理论考核与桌面推演分别使用知识点错误率与推演合理率评估,现场评估和检伤分类使用联合国医疗队模拟训练5分法评估,胸腔闭式引流术操作考核使用百分制评分.结果 问卷调查结果显示,35名维和军医的掌握程度、授课质量、任务需求、个人需求的维度均分分别为(3.99±0.68)、(4.48±0.64)、(4.55±0.54)和(4.41±0.60)分,差异有统计学意义(F=26.65,P<0.01),其中掌握程度的维度均分最低.理论考核结果显示,7个知识点错误率比较差异有统计学意义(χ2=167.65,P<0.001),其中战伤急救基本技术(止血原理)错误率最高,伤票与伤标错误率最低.桌面推演结果表明,35名维和军医均能完成21道题目的措施推演,其中2道题目推演合理率为100.00％,6道题目推演合理率低于60％,3道题目存在不合适推演措施.现场评估结果显示,装备准备、现场处理、伤员后送均分为3.00分,安全意识均分为2.89分,伤员查体顺序及重点均分为2.78分,伤员查体内容均分为2.67分;检伤分类评估结果显示,整体分类观念均分为3.00分,救治分类(二次评估)、伤员查体顺序及重点均分为2.89分,伤员查体内容均分为2.11分,伤势与处置顺序、手术方式、伤员流向均分为1.00分.胸腔闭式引流术操作考核成绩为77～97(91.33±5.84)分.结论 部署前维和军医整体伤员救治能力仍存在一些弱项.未来维和军医战伤救治技能培训应加强武器伤救治、损伤控制手术和批量伤员救治等方面的培训,提高实训课程比重,增加综合能力训练课程.     

A Deep Learning Modeling Framework to Capture Mixing Patterns in Reactive-Transport Systems

Prediction and control of chemical mixing are vital for many scientific areas such as subsurface reactive transport, climate modeling, combustion, epidemiology, and pharmacology. Due to the complex nature of mixing in heterogeneous and anisotropic media, the mathematical models related to this phenomenon are not analytically tractable. Numerical simulations often provide a viable route to predict chemical mixing accurately. However, contemporary modeling approaches for mixing cannot utilize available spatial-temporal data to improve the accuracy of the future prediction and can be compute-intensive, especially when the spatial domain is large and for long-term temporal predictions. To address this knowledge gap, we will present in this paper a deep learning (DL) modeling framework applied to predict the progress of chemical mixing under fast bimolecular reactions. This framework uses convolutional neural networks (CNN) for capturing spatial patterns and long short-term memory (LSTM) networks for forecasting temporal variations in mixing. By careful design of the framework—placement of non-negative constraint on the weights of the CNN and the selection of activation function, the framework ensures non-negativity of the chemical species at all spatial points and for all times. Our DL-based framework is fast, accurate, and requires minimal data for training. The time needed to obtain a forecast using the model is a fraction ($≈ \mathcal{O}(10^{−6}))$ of the time needed to obtain the result using a high-fidelity simulation. To achieve an error of 10% (measured using the infinity norm) for capturing local-scale mixing features such as interfacial mixing, only 24% to 32% of the sequence data for model training is required. To achieve the same level of accuracy for capturing global-scale mixing features, the sequence data required for model training is 64% to 70% of the total spatial-temporal data. Hence, the proposed approach—a fast and accurate way to forecast long-time spatial-temporal mixing patterns in heterogeneous and anisotropic media—will be a valuable tool for modeling reactive-transport in a wide range of applications.