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A new triage method, MBCE (Medical Bio Social Ethics), is presented with social justice, bio, and medical ethics for critical resource distribution during a pandemic. Ethical triage is a complex and challenging process that requires careful consideration of medical, social, cultural, and ethical factors to guide the decision-making process and ensure fair and transparent allocation of resources. When assigning priorities to patients, a clinician would evaluate each patient’s medical condition, age, comorbidities, and prognosis, as well as their cultural and social background and ethical factors.

A statistical analysis shows no interactions among the ethical triage factors. It implies the ethical components have no moderation effect; hence, each is independent. The result also points out that medical and bioethics may have an affinity for interactions. In such cases, there seem to be some ethical factors related to bio and medical ethics that are correlated. Therefore, the triage team should be careful in evaluating patient cases. The algorithm is explained with case histories of the selected patient. A group of triage nurses and general medical practitioners assists with the triage.

The MBCE triage algorithm aims to allocate scarce resources fairly and equitably. Another ethical principle in this triage algorithm is the principle of utility. In a pandemic, the principle of utility may require prioritizing patients with a higher likelihood of survival or requiring less medical care. The research presents a sensitivity analysis of a patient’s triage score to show the algorithm’s robustness. A weighted score of ethical factors combined with an assessment of triage factors combines multiple objectives to assign a fair triage score. These distinctive features of the algorithm are reasonably easy to implement and a new direction for the unbiased triage principle.

The idea is to make decisions about distributing and using scarce medical resources. Triage algorithms raise ethical issues, such as discrimination and justice, guiding medical ethics in treating patients with terminal diseases or comorbidity. One of the main ethical principles in triage algorithms is the principle of distributive justice.

Overcrowding continues to afflict emergency departments (EDs), and its attendant consequences are becoming increasingly severe. The burden of the COVID-19 pandemic is further escalating the situation worldwide. One of the most critical questions is how to adequately quantify what constitutes overcrowding and determine implications for operations management in improving service efficiency. This paper aims to discuss the aforementioned.

The authors propose the time and class complexity measures for ED service systems, taking into account important patient-level and system characteristics. Using an extensive data set from a Canadian ED, the authors investigate the performance of complexity-based measures in predicting service delays.

The authors find that the complexity measure is potentially more important than some well-known crowding metrics. In particular, EDs can improve service efficiency by managing the level of complexity within a desirable interval. Furthermore, complexity exposes how the interplay between demand-side behavioral changes and supply-side responses affects operational performance. Moreover, the results suggest that arrival patterns—the number of patients of each class arriving per time and times between events (arrivals and service completions)—increase the risk of service delays more than the demand volume.

This paper is the first to provide an extensive investigation into the application of the complexity-based measure for ED crowding. The study demonstrates potential values to be gained in ED service systems if complexity measure is incorporated into their operations management decisions.

The purpose of this study is to explore the sustainability of innovations introduced during the coronavirus disease 2019 (Covid-19) pandemic in remote and rural primary care advanced clinical practice.

The methodology includes an exploratory qualitative study of eight key stakeholders from Scottish remote and rural primary care advanced practice (three policymakers and five advanced practitioners). Data were collected using semi-structured interviews during 2022 and analysed thematically.

Advanced practice in remote and rural primary care is characterised by a shortage of doctors, close-knit communities and a broad scope of practice. Covid-19 catalysed changes in the delivery of healthcare. Innovations which participants wanted to sustain include hybrid working, triage, online training and development, and increased inter-professional support networks.

Findings provide valuable insights into how best to support remote and rural advanced practice which may have implications for retaining healthcare professionals. They also identified useful innovations which could benefit from further investment.

Given current healthcare workforce pressures, identifying and sustaining innovations which will support and retain staff are imperative. Hybrid consultations and online access to training, development and support should be sustained to support the remote and rural advanced practice workforce. Further research should explore the sustainability of innovations introduced during the Covid-19 pandemic in other care contexts.

This paper conceptualises how managers psychologically experience and respond to crises via metaphor analysis.

This paper uses a discourse dynamics approach to metaphor analysis. Conceptual metaphors were analysed and developed into concept maps through 37 semi-structured interviews with senior managers from different portfolios within 16 public universities in South Africa after #FeesMustFall protests.

Five domains emerged, including (1) looming crisis, (2) crisis onset, (3) crisis triage and containment, (4) (not) taking action and (5) post-crisis reflection. These domains shape a framework for the crisis adaptation cycle.

This study suggests that organisations should pay more attention to understanding emotions in crises and can use the adaptation model to develop their managers. It shows how metaphors can help explain affective and cognitive experiences and how emotions shift and evolve during a crisis. Managers should be aware of early signs of the crisis and its potential impact on their business operation in the looming and recognition stages, analyse the situation and work collectively on possible actions to minimise losses and maximise gains.

This is a rare investigation into the emotions of senior managers in the public sector in a social movement and national crisis via unconventional research methods to advance cognitive appraisal theory in crisis management.

In response to a critical need for uniform school crisis preparedness and response efforts across districts, the National Association of School Psychologists developed PREPaRE, a model and training curriculum aimed to equip school-based professionals to engage in comprehensive school crisis prevention and intervention practices. The PREPaRE acronym stands for: Prevent/Prepare for psychological trauma; Reaffirm physical health, security, and safety; Evaluate psychological trauma; Provide interventions (and) Respond to psychological needs; and Examine the effectiveness of prevention and intervention efforts. The model spans four crisis preparedness phases: Prevention, Mitigation, Response, and Recovery. This chapter provides a detailed overview of the development and structure of the PREPaRE model's core components and the organizational framework of the Incident Command System. It delineates elements of the basic school crisis response plan, assessment of mental health risk following a crisis event, and the provision of crisis interventions within a multitiered system of support framework. Additionally, it summarizes ongoing effectiveness and implementation research used to evaluate and improve the model based on immediate training outcomes assessed through pre and postmeasures and training transfer to applied school contexts. Implications for research and public policy regarding school safety and crisis prevention and intervention, as well as the future of PREPaRE curriculum development, are discussed.

Disaster management and humanitarian logistics (HT) play crucial roles in large-scale events such as earthquakes, floods, hurricanes and tsunamis. Well-organized disaster response is crucial for effectively managing medical centres, staff allocation and casualty distribution during emergencies. To address this issue, this study aims to introduce a multi-objective stochastic programming model to enhance disaster preparedness and response, focusing on the critical first 72 h after earthquakes. The purpose is to optimize the allocation of resources, temporary medical centres and medical staff to save lives effectively.

This study uses stochastic programming-based dynamic modelling and a discrete-time Markov Chain to address uncertainty. The model considers potential road and hospital damage and distance limits and introduces an a-reliability level for untreated casualties. It divides the initial 72 h into four periods to capture earthquake dynamics.

Using a real case study in Istanbul’s Kartal district, the model’s effectiveness is demonstrated for earthquake scenarios. Key insights include optimal medical centre locations, required capacities, necessary medical staff and casualty allocation strategies, all vital for efficient disaster response within the critical first 72 h.

This study innovates by integrating stochastic programming and dynamic modelling to tackle post-disaster medical response. The use of a Markov Chain for uncertain health conditions and focus on the immediate aftermath of earthquakes offer practical value. By optimizing resource allocation amid uncertainties, the study contributes significantly to disaster management and HT research.

This study aims to facilitate access to vascular disease screening for low-income individuals living in remote and conflict areas based on the results of a pilot trial in Colombia. Also, to increase the amount of diagnosis training of vascular surgery (VS) in civilians.

The operation method includes five stages: strategy development and adjustment; translation of the strategy into a real-world setting; operation logistics planning; strategy analysis and adoption. The operation plan worked efficiently in this study’s sample. It demonstrated high sensibility, efficiency and safety in a real-world setting.

The authors developed and implemented a flow model operating plan for screening vascular pathologies in low-income patients pro bono without proper access to vascular health care. A total of 140 patients from rural areas in Colombia were recruited to a controlled screening session where they underwent serial noninvasive ultrasound assessments conducted by health professionals of different training stages in VS.

The plan was designed to be implemented in remote, conflict areas with limited access to VS care. Vascular injuries are critically important and common among civilians and military forces in regions with active armed conflicts. As this strategy can be modified and adapted to different medical specialties and geographic areas, the authors recommend checking the related legislation and legal aspects of the intended areas where we will implement this tool.

Different sub-specialties can implement the described method to be translated into significant areas of medicine, as the authors can adjust the deployment and execution for the assessment in peripheral areas, conflict zones and other public health crises that require a faster response. This is necessary, as the amount of training to which VS trainees are exposed is low. A simulated exercise offers a novel opportunity to enhance their current diagnostic skills using ultrasound in a controlled environment.

Evaluating and assessing patients with limited access to vascular medicine and other specialties can decrease the burden of vascular disease and related complications and increase the number of treatments available for remote communities.

It is essential to assess the most significant number of patients and treat them according to their triage designation. This management is similar to assessment in remote areas without access to a proper VS consult. The authors were able to determine, classify and redirect to therapeutic interventions the patients with positive findings in remote areas with a fast deployment methodology in VS.

Access to health care is limited due to multiple barriers and the assessment and response, especially in peripheral areas that require a highly skilled team of medical professionals and related equipment. The authors tested a novel mobile assessment tool for remote and conflict areas in a rural zone of Colombia.

The dermatology service on the islands of Orkney, with a population of approximately 22,500, was taken over by National Health Service (NHS) Tayside in August 2018. This paper aims to provide an overview of the planning and review of a highly efficient and effective dermatology service for a rural island population.

The service includes visiting dermatology consultants, enhanced electronic referral vetting, skin surgery services, a General Practice (GP) with extended role (GPwER) in dermatology, specialist virtual clinics, urgent advice for inpatients at the local district general hospital and remote systemic therapy monitoring. A new phototherapy service has been set up in an island GP practice.

Local GPs and consultant dermatologists find the enhanced vetting service useable, efficient and educational. Between August 2018 and November 2022, there have been 1,749 referrals. Of these referrals, 60% were seen in clinic or a GPwER surgery, with 40% managed remotely by providing advice back to the referring GP. The number of consultations performed by the GPwER has grown over the past 3 years, and in the last year, it accounted for more than 50% of patient appointments. The waiting time has been significantly reduced using this model.

This remote service uses an integrated approach of teledermatology (TD) whilst offering continual in-person services using local capabilities including a GPwER and island general surgeons. New treatment facilities are provided to the island population. Continual educational feedback to the primary care referrer is provided, and it enhances relationships that greatly aid the high-quality dermatology service provided.

Cardiovascular diseases are the leading cause of death worldwide. In Italy, acute myocardial infarction (AMI) is a major cause of hospitalization and healthcare costs. AMI is a myocardial necrosis event caused by an unstable ischemic syndrome. The Italian government has defined an indicator called “AMI: 30-day mortality” to assess the quality of the overall care pathway of the heart attacked patient. In order to guarantee high standards, all hospitals had to implement techniques to increase the quality of care pathway. The aim of the paper is to identify the root cause and understand the mortality rate for AMI and redesign the patient management process in order to improve it.

A Lean Six Sigma (LSS) approach was used in this study to analyze the patient flow in order to reduce 30-days mortality rate from AMI registered by Complex Operative Unit (COU) of Cardiology of an Italian hospital. Value stream mapping (VSM) and Ishikawa diagrams were implemented as tools of analysis.

Process improvement using LSS methodology made it possible to reduce the overall times from 115 minutes to 75 minutes, with a reduction of 35%. In addition, the corrective actions such as the activation of a post-discharge outpatient clinic and telephone contacts allowed the 30-day mortality rate to be lowered from 16% before the project to 8% after the project. In this way, the limit value set by the Italian government was reached.

The limitation of the study is that it is single-centered and was applied to a facility with a limited number of cases.

The LSS approach has brought significant benefits to the process of managing patients with AMI. Corrective actions such as the activation of an effective shared protocol or telephone interview with checklist can become the gold standard in reducing mortality. The limitation of the study is that it is single-centered and was applied to a facility with a limited number of cases.

LSS, applied for the first time to the management of cardiovascular diseases in Italy, is a methodology which has proved to be strategic for the improvement of healthcare process. The simple solutions implemented could serve as a guide for other hospitals to pursue the national AMI mortality target.