Research of an emergency medical system for mass casualty incidents in Shanghai, China: a system dynamics model

Designing a model of emergency medical services preparedness in response to mass casualty incidents: a mixed-method study

BACKGROUND

Emergency medical services preparedness in mass casualty incidents is one of the most important concerns in emergency systems. A mass casualty incident is a sudden event with several injured individuals that overwhelms the local health care system. This study aimed to identify and validate the components of emergency medical services readiness in mass casualty incidents which ultimately led to designing a conceptual model.

METHODS

This research was an explanatory mixed-method study conducted in five consecutive stages in Iran between November 2021 and September 2023. First, a systematic review was carried out to extract the components of emergency medical services preparedness in mass casualty incidents based on the PRISMA guideline. Second, a qualitative study was designed to explore the preparedness components through in-depth semi-structured interviews and analyzed using the content analysis approach. Third, the integration of the components extracted from the two stages of the systematic review and qualitative study was done by an expert panel. Fourth, the obtained components were validated using the Delphi technique. Two rounds were done in the Delphi phase. Finally, the conceptual model of emergency medical services preparedness in mass casualty incidents was designed by a panel of experts.

RESULTS

10 articles were included in the systematic review stage and sixteen main components were extracted and classified into four categories. In the second stage, thirteen components were extracted from the qualitative study and classified into five categories. Then, the components of the previous two phases were integrated into the panel of experts and 23 components were identified. After validation with the Delphi technique, 22 components were extracted. Lastly, the final components were examined by the panel of experts, and the conceptual schematic of the model was drawn.

CONCLUSIONS

It is necessary to have an integrated framework and model of emergency medical service readiness in the planning and management of mass casualty incidents. The components and the final model of this research were obtained after the systematic scientific steps, which can be used as a scheme to improve emergency medical service preparedness in response to mass casualty incidents.

How to do (or not to do)…Using Causal Loop Diagrams for Health System Research in Low- and Middle-Income Settings

Causal loop diagrams (CLDs) are a systems thinking method that can be used to visualize and unpack complex health system behaviour. They can be employed prospectively or retrospectively to identify the mechanisms and consequences of policies or interventions designed to strengthen health systems and inform discussion with policymakers and stakeholders on actions that may alleviate sub-optimal outcomes. Whilst the use of CLDs in health systems research has generally increased, there is still limited use in low- and middle-income settings. In addition to their suitability for evaluating complex systems, CLDs can be developed where opportunities for primary data collection may be limited (such as in humanitarian or conflict settings) and instead be formulated using secondary data, published or grey literature, health surveys/reports and policy documents. The purpose of this paper is to provide a step-by-step guide for designing a health system research study that uses CLDs as their chosen research method, with particular attention to issues of relevance to research in low- and middle-income countries (LMICs). The guidance draws on examples from the LMIC literature and authors’ own experience of using CLDs in this research area. This paper guides researchers in addressing the following four questions in the study design process; (1) What is the scope of this research? (2) What data do I need to collect or source? (3) What is my chosen method for CLD development? (4) How will I validate the CLD? In providing supporting information to readers on avenues for addressing these key design questions, authors hope to promote CLDs for wider use by health system researchers working in LMICs.

Mass casualty, intentional vehicular trauma and anaesthesia

The use of motor vehicles to initiate mass casualty incidents is increasing in frequency and such events are called intentional vehicular assaults. Perpetrators are inspired by a range of terrorist ideologies or have extremist views, criminal intent, or mental health issues. Assaults using a motor vehicle as the principal weapon of attack are easy to launch and require little to no forward planning. This makes them difficult for police and security agencies to predict, prevent, or interdict. With the increasing frequency of intentional vehicular assaults, anaesthesiologists in various settings may be involved in caring for victims and should be engaged in preparing for them. This narrative review examines the literature on vehicle assaults committed around the world and provides an overview of the unique injury patterns and considerations for the pre-hospital, perioperative, and critical care management of victims of these mass casualty events. The article discusses planning, education, and training in an attempt to reduce the mortality and morbidity of intentional vehicular assaults.

Promotion of prehospital emergency care through clinical decision support systems: opportunities and challenges

Clinical decision support systems are interactive computer systems for situational decision making and can improve decision efficiency and safety of care. We investigated the role of these systems in enhancing prehospital care. This narrative review included full-text articles published since 2000 that were available in databases/e-journals including Web of Science, PubMed, Science Direct, and Google Scholar. Search keywords included "clinical decision support system," "decision support system," "decision support tools," "prehospital care," and "emergency medical services." Non-journal articles were excluded. We revealed 14 relevant studies that used such a support system in prehospital emergency medical service. Owing to the dynamic nature of emergency situations, decision timing is critical. Four key factors demonstrated the ability of clinical decision support systems to improve decision-making, reduce errors, and improve the safety of prehospital emergency activity: computer-based, offer support as a natural part of the workflow, provide decision support in the time and place of decision making, and offer practical advice. The use of clinical decision support systems in prehospital care resulted in accurate diagnoses, improved patient triage and patient outcomes, and reduction of prehospital time. By improving emergency management and rescue operations, the quality of prehospital care will be enhanced.

System dynamics applications to injury and violence prevention: a systematic review

Purpose of review

System dynamics (SD) is an approach to solving problems in the context of dynamic complexity. The purpose of this review was to summarize SD applications in injury prevention and highlight opportunities for SD to contribute to injury prevention research and practice.

Recent findings

While SD has been increasingly used to study public health problems over the last few decades, uptake in the injury field has been slow. We identified 18 studies, mostly conducted in the last 10 years. Applications covered a range of topics (e.g., road traffic injury; overdose; violence), employed different types of SD tools (i.e., qualitative and quantitative), and served a variety of research and practice purposes (e.g., deepen understanding of a problem, policy analysis).

Summary

Given the many ways that SD can add value and complement traditional research and practice approaches (e.g., through novel stakeholder engagement and policy analysis tools), increased investment in SD-related capacity building and opportunities that support SD use are warranted.

Excess mortality reduction given a "reduce patient mortality at all costs" scenario for mass burn casualties

OBJECTIVE

The aim of this study was to estimate the effect on medical resource use and mortality of full financial support from the government for treatment costs after a mass burn casualty event in Taiwan.

METHODS

All patients with burn injuries from the event were included (n = 483). Each burn patient from this incident was matched to a separate burn patient identified from the National Health Insurance database. Medical care usage and mortality were compared between groups at 1-, 3-, 6-, 9-, and 12-month intervals.

RESULTS

Regarding outpatient expenditure, burn patients from the mass casualty event had significantly higher levels of medical expenditure compared with their control counterparts at all intervals and levels of medical institution. For inpatient expenditure, patients from the mass casualty event only had higher expenditure for the first month, and excess procedures used by these patients mainly consisted of nonvital procedures such as rehabilitation training. The mortality rate was only slightly lower for this group of burn patients compared with their control counterparts.

CONCLUSIONS

Full financial support by the government in terms of medical treatment may engender only marginal additional benefits in terms of mortality if burn treatment procedures are already well established in the country.

System dynamics for predicting the impact of traffic noise on cardiovascular mortality in Madrid

The impact of road traffic noise on health is an important issue worldwide. In Madrid (Spain), the existing high daily noise levels all year round have been associated with short-term cardiovascular mortality. A system dynamics model is constructed to estimate the evolution of the traffic noise impact on the population older than 65 in Madrid over the upcoming years. This strategy allows to make predictions based on yearly variations in traffic intensity, population at risk, motor vehicle-related technological advances and lifestyles, and urban planning policies. Madrid harbours a persisting noise epidemic since 1980, which would be eradicated in 2040 at the earliest if significant action for noise abatement were taken.