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Emergency Departments serve as a main entry point for patients into hospitals, and the team, the core of which is formed by doctors and nurses needs to make sense of and respond to the constant flux of information. This requires sense-making, communication, and collaborative operational decision-making. The study's main aim was to explore how collective, interprofessional sense-making occurs in the emergency department. Collective sense-making is deemed a precursor for adaptive capability, which, in turn, promotes coping in a dynamically changing environment. Doctors and nurses working in five large state emergency departments in Cape Town, South Africa, were invited to participate. Using the SenseMaker® tool, a total of 84 stories were captured over eight weeks between June and August 2018. Doctors and nurses were equally represented. Once participants shared their stories, they self-analysed these stories within a specially designed framework. The stories and self-codified data were analysed separately. Each self-codified data point was plotted in R-studio and inspected for patterns, after which the patterns were further explored. The stories were analysed using content analysis. The SenseMaker® software allows switching between quantitative (signifier) and qualitative (descriptive story) data during interpretation, enabling more deeply nuanced analyses. The results focused on four aspects of sense-making, namely views on the availability of information, the consequences of decisions (actions), assumptions regarding appropriate action, and preferred communication methods. There was a noticeable difference in what doctors and nurses felt would constitute appropriate action. The nurses were more likely to act according to rules and policies, whereas the doctors were more likely to act according to the situation. More than half of the doctors indicated that they found it best to communicate informally, whereas the nurses indicated that formal communication worked best for them. This study was the first to explore the ED's interprofessional team's adaptive capability to respond to situations from a sense-making perspective. We found an operational disconnect between doctors and nurses caused by asymmetric information, disjointed decision-making approaches, differences in habitual communication styles, and a lack of shared feedback loops. By cultivating their varied sense-making experiences into one integrated operational foundation with stronger feedback loops, interprofessional teams' adaptive capability and operational effectiveness in Cape Town EDs can be improved.

To conduct a systematic review of emergency care in low- and middle-income countries (LMICs). We searched PubMed, CINAHL and World Health Organization (WHO) databases for reports describing facility-based emergency care and obtained unpublished data from a network of clinicians and researchers. We screened articles for inclusion based on their titles and abstracts in English or French. We extracted data on patient outcomes and demographics as well as facility and provider characteristics. Analyses were restricted to reports published from 1990 onwards. We identified 195 reports concerning 192 facilities in 59 countries. Most were academically-affiliated hospitals in urban areas. The median mortality within emergency departments was 1.8% (interquartile range, IQR: 0.2-5.1%). Mortality was relatively high in paediatric facilities (median: 4.8%; IQR: 2.3-8.4%) and in sub-Saharan Africa (median: 3.4%; IQR: 0.5-6.3%). The median number of patients was 30 000 per year (IQR: 10 296-60 000), most of whom were young (median age: 35 years; IQR: 6.9-41.0) and male (median: 55.7%; IQR: 50.0-59.2%). Most facilities were staffed either by physicians-in-training or by physicians whose level of training was unspecified. Very few of these providers had specialist training in emergency care. Available data on emergency care in LMICs indicate high patient loads and mortality, particularly in sub-Saharan Africa, where a substantial proportion of all deaths may occur in emergency departments. The combination of high volume and the urgency of treatment make emergency care an important area of focus for interventions aimed at reducing mortality in these settings.

Low- and middle-income countries bear a disproportionate amount of the global burden of disease from emergency conditions. To improve the provision of emergency care in low-resource settings, a multifaceted World Health Organization (WHO) intervention introduced a toolkit including Basic Emergency Care training, resuscitation area guidelines, a trauma registry, a trauma checklist, and triage tool in two public hospital sites in Uganda. While introduction of the toolkit revealed a large reduction in the case fatality rate of patients, little is known about the cost-effectiveness and affordability. We analysed the cost-effectiveness of the toolkit and conducted a budget analysis to estimate the impact of scale up to all regional referral hospitals for the national level. A decision tree model was constructed to assess pre- and post-intervention groups from a societal perspective. Data regarding mortality were drawn from WHO quality improvement reports captured at two public hospitals in Uganda from 2016-2017. Cost data were drawn from project budgets and included direct costs of the implementation of the intervention, and direct costs of clinical care for patients with disability. Development costs were not included. Parameter uncertainty was assessed using both deterministic and probabilistic sensitivity analyses. Our model estimated the incremental cost-effectiveness of implementing the WHO emergency care toolkit measuring all costs and outcomes as disability-adjusted life-years (DALYs) over a lifetime, discounting both costs and outcomes at 3.5%. Implementation of the WHO Toolkit averted 1,498 DALYs when compared to standard care over a one-year time horizon. The initial investment of $5,873 saved 34 lives (637 life years) and avoided $1,670,689 in downstream societal costs, resulted in a negative incremental cost-effectiveness ratio, dominating the comparator scenario of no intervention. This would increase to saving 884 lives and 25,236 DALYs annually with national scale up. If scaled to a national level the total intervention cost over period of five years would be $4,562,588 or a 0.09% increase of the total health budget for Uganda. The economic gains are estimated to be $29,880,949 USD, the equivalent of a 655% return on investment. The model was most sensitive to average annual cash income, discount rate and frequency survivor is a road-traffic incident survivor, but was robust for all other parameters. Improving emergency care using the WHO Toolkit produces a cost-savings in a low-resource setting such as Uganda. In alignment with the growing body of literature highlighting the value of systematizing emergency care, our findings suggest the toolkit could be an efficient approach to strengthening emergency care systems.

Over the last few decades, maternal health has been a major focus of the international community and this has resulted in a substantial decrease in maternal mortality globally. Although, compared with maternal illness, medical and surgical emergencies account for far more morbidity and mortality, there has been less focus on global efforts to improve comprehensive emergency systems. The thoughtful and specific application of the concepts used in the effort to decrease maternal mortality could lead to major improvements in global emergency health services. The so-called three-delay model that was developed for maternal mortality can be adapted to emergency service delivery. Adaptation of evaluation frameworks to include emergency sentinel conditions could allow effective monitoring of emergency facilities and further policy development. Future global emergency health efforts may benefit from incorporating strategies for the planning and evaluation of high-impact interventions.

In this paper, we predict the health and economic consequences of immediate investment in personal protective equipment (PPE) for health care workers (HCWs) in low- and middle-income countries (LMICs). To account for health consequences, we estimated mortality for HCWs and present a cost-effectiveness and return on investment (ROI) analysis using a decision-analytic model with Bayesian multivariate sensitivity analysis and Monte Carlo simulation. Data sources included inputs from the World Health Organization Essential Supplies Forecasting Tool and the Imperial College of London epidemiologic model. An investment of $9.6 billion USD would adequately protect HCWs in all LMICs. This intervention would save 2,299,543 lives across LMICs, costing $59 USD per HCW case averted and $4,309 USD per HCW life saved. The societal ROI would be $755.3 billion USD, the equivalent of a 7,932% return. Regional and national estimates are also presented. In scenarios where PPE remains scarce, 70-100% of HCWs will get infected, irrespective of nationwide social distancing policies. Maintaining HCW infection rates below 10% and mortality below 1% requires inclusion of a PPE scale-up strategy as part of the pandemic response. In conclusion, wide-scale procurement and distribution of PPE for LMICs is an essential strategy to prevent widespread HCW morbidity and mortality. It is cost-effective and yields a large downstream return on investment.

Each year more than 10 million people worldwide are burned severely enough to require medical attention, with clinical outcomes noticeably worse in resource poor settings. Expert clinical advice on acute injuries can play a determinant role and there is a need for novel approaches that allow for timely access to advice. We developed an interactive mobile phone application that enables transfer of both patient data and pictures of a wound from the point-of-care to a remote burns expert who, in turn, provides advice back. The application is an integrated clinical decision support system that includes a mobile phone application and server software running in a cloud environment. The client application is installed on a smartphone and structured patient data and photographs can be captured in a protocol driven manner. The user can indicate the specific injured body surface(s) through a touchscreen interface and an integrated calculator estimates the total body surface area that the burn injury affects. Predefined standardised care advice including total fluid requirement is provided immediately by the software and the case data are relayed to a cloud server. A text message is automatically sent to a burn expert on call who then can access the cloud server with the smartphone app or a web browser, review the case and pictures, and respond with both structured and personalized advice to the health care professional at the point-of-care. In this article, we present the design of the smartphone and the server application alongside the type of structured patient data collected together with the pictures taken at point-of-care. We report on how the application will be introduced at point-of-care and how its clinical impact will be evaluated prior to roll out. Challenges, strengths and limitations of the system are identified that may help materialising or hinder the expected outcome to provide a solution for remote consultation on burns that can be integrated into routine acute clinical care and thereby promote equity in injury emergency care, a growing public health burden.

Introduction The emergency medical service (EMS) response is dependent on the emergency medical dispatch (EMD) and the operations response team to ensure that the patient receives the required EMS resources and treatment in the appropriate time. EMS resources must be dispatched to calls of appropriate patient acuity. Overtriage and undertriage impact the appropriate response and optimization of EMS resources and, most importantly, patient outcomes. This study examines overtriage and undertriage rates in ambulance dispatch operations in the Western Cape Government (WCG), South Africa. Aim Determine undertriage and overtriage rates of EMD priority allocation compared to on-scene ambulance triage. Methods This was a retrospective descriptive study conducted with data received separately for dispatching emergency calls through computer-aided dispatch records and triage information from electronic patient care records. The data were derived from 1 st October 2018 to 30 th September 2019 and included primary response calls only. Using the South African Triage Scale, overtriage and undertriage of the priority rating of the incident at dispatch were calculated using the Cribari matrix for each incident type. Results A total of 242,576 primary emergency responses were analysed. Overall, the overtriage rate was 62.28% (95% CI: 61.94%-62.63%), and the undertriage rate was 15.29% (95% CI: 15.10%-15.47%). The sensitivity was 53.71% (95% CI: 53.29%–54.13%), and the specificity was 74.31% (95% CI: 74.11%–74.51%). The incident types with the highest overtriage rates were obstetric (89%) and gynaecological (86%) complaints and allergic reactions (79%); while the incident types with the highest undertriage rates were respiratory complaints (31%), diabetes (30%), and chest pain (29%). Conclusion This study revealed substantial overtriage and undertriage across all incident types. The results of this study provide a good reference point for future comparisons of triage rates in the Western Cape. It can be used to inform the development of policies, processes, guidelines, triage and training in dispatching systems, which may contribute to the optimization of prehospital resource management and patient care.

Background Accurate triage of the undifferentiated patient is a critical task in prehospital emergency care. However, there is a paucity of literature synthesizing currently available prehospital triage tools. This scoping review aims to identify published tools used for prehospital triage globally and describe their performance characteristics. Methods A comprehensive search was performed of primary literature in English-language journals from 2009 to 2019. Papers included focused on emergency medical services (EMS) triage of single patients. Two blinded reviewers and a third adjudicator performed independent title and abstract screening and subsequent full-text reviews. Results Of 1521 unique articles, 55 (3.6%) were included in the final synthesis. The majority of prehospital triage tools focused on stroke (n = 19; 35%), trauma (19; 35%), and general undifferentiated patients (15; 27%). All studies were performed in high income countries, with the majority in North America (23, 42%) and Europe (22, 40%). 4 (7%) articles focused on the pediatric population. General triage tools aggregate prehospital vital signs, mental status assessments, history, exam, and anticipated resource need, to categorize patients by level of acuity. Studies assessed the tools’ ability to accurately predict emergency department triage assignment, hospitalization and short-term mortality. Stroke triage tools promote rapid identification of patients with acute large vessel occlusion ischemic stroke to trigger timely transport to diagnostically- and therapeutically-capable hospitals. Studies evaluated tools’ diagnostic performance, impact on tissue plasminogen activator administration rates, and correlation with in-hospital stroke scales. Trauma triage tools identify patients that require immediate transport to trauma centers with emergency surgery capability. Studies evaluated tools’ prediction of trauma center need, under-triage and over-triage rates for major trauma, and survival to discharge. Conclusions The published literature on prehospital triage tools predominantly derive from high-income health systems and mostly focus on adult stroke and trauma populations. Most studies sought to further simplify existing triage tools without sacrificing triage accuracy, or assessed the predictive capability of the triage tool. There was no clear ‘gold-standard’ singular prehospital triage tool for acute undifferentiated patients. Trial registration Not applicable.

IntroductionOut-of-hospital cardiac arrest (OHCA) is well studied in high-income countries, and research has encouraged the implementation of policy to increase survival rates. On the other hand, comprehensive research on OHCA in Africa is sparse, despite the higher incidence of risk factors. In this vein, structural barriers to OHCA care in Africa must be fully recognised and understood before similar improvements in outcome may be made. The aim of this study was to describe and summarise the body of literature related to OHCA in Africa.Methods and analysisUsing an a priori developed search strategy, electronic searches were performed in Medline via Pubmed, Web of Science, Scopus and Google Scholar databases to identify articles published in English between 2000 and 2020 relevant to OHCA in Africa. Titles, abstract and full text were reviewed by two reviewers, with discrepancies handled by an independent reviewer. A summary of the main themes contained in the literature was developed using descriptive analysis on eligible articles.ResultsA total of 1200 articles were identified. In the screening process, 785 articles were excluded based on title, and a further 127 were excluded following abstract review. During full-text review to determine eligibility, 80 articles were excluded and one was added following references review. A total of 19 articles met the inclusion criteria. During analysis, the following three themes were found: epidemiology and underlying causes for OHCA, first aid training and bystander action, and Emergency Medical Services (EMS) resuscitation and training.ConclusionsIn order to begin addressing OHCA in Africa, representative research with standardised reporting that complies to data standards is required to understand the full, context-specific picture. Policies and research may then target underlying conditions, improvements in bystander and EMS training, and system improvements that are contextually relevant and ultimately result in better outcomes for OHCA victims.

ObjectiveTo explore patient’s experience of entrapment and subsequent extrication following a motor vehicle collision and identify their priorities in optimising this experience.DesignSemistructured interviews exploring the experience of entrapment and extrication conducted at least 6 weeks following the event. Thematic analysis of interviews.SettingSingle air ambulance and spinal cord injury charity in the UK.Participants10 patients were recruited and consented; six air ambulance patients and two spinal cord injury charity patients attended the interview. 2 air ambulance patients declined to participate following consent due to the perceived potential for psychological sequelae.ResultsThe main theme across all participants was that of the importance of communication; successful communication to the trapped patient resulted in a sense of well-being and where communication failures occurred this led to distress. The data generated three key subthemes: ‘on-scene communication’, ‘physical needs’ and ‘emotional needs’. Specific practices were identified that were of use to patients during entrapment and extrication.ConclusionsExtrication experience was improved by positive communication, companionship, explanations and planned postincident follow-up. Extrication experience was negatively affected by failures in communication, loss of autonomy, unmanaged pain, delayed communication with remote family and onlooker use of social media. Recommendations which will support a positive patient-centred extrication experience are the presence of an ‘extrication buddy’, the use of clear and accessible language, appropriate reassurance in relation to co-occupants, a supportive approach to communication with family and friends, the minimisation of onlooker photo/videography and the provision of planned (non-clinical) follow-up.