Recognising and managing eating disorders in the emergency department.

Compared with other mental health conditions or psychiatric presentations, such as self-harm, which may be seen in emergency departments, eating disorders can seem relatively rare. However, they have the highest mortality across the spectrum of mental health, with high rates of medical complications and risk, ranging from hypoglycaemia and electrolyte disturbances to cardiac abnormalities. People with eating disorders may not disclose their diagnosis when they see healthcare professionals.

Recognising and managing eating disorders in the emergency department.

Compared with other mental health conditions or psychiatric presentations, such as self-harm, which may be seen in emergency departments, eating disorders can seem relatively rare. However, they have the highest mortality across the spectrum of mental health, with high rates of medical complications and risk, ranging from hypoglycaemia and electrolyte disturbances to cardiac abnormalities. People with eating disorders may not disclose their diagnosis when they see healthcare professionals.

Cross-cultural adaptation and its impact on research in emergency care.

The perspective of patients is increasingly recognised as important to care improvement and innovation. Patient questionnaires such as patient-reported outcome measures may often require cross-cultural adaptation (CCA) to gather their intended information most effectively when used in cultures and languages different to those in which they were developed. The use of CCA could be seen as a practical step in addressing the known problems of inclusion, diversity and access in medical research.

Systematic literature search, review and dissemination methodology for the COVID-19 pandemic.

Purpose Of The Study: SARS-CoV-2 has caused healthcare systems globally to reorganise. A pandemic paradox emerged; while clinicians were desperate for information on a new disease, they had less time to find and evaluate the vast volume of publications at times of significant strain on healthcare systems.A multidisciplinary team undertook a weekly literature search capturing all COVID-19 publications.

Long-term cardiovascular risk prediction in the emergency department: a mixed-methods study protocol.

Introduction: Cardiovascular disease (CVD) remains one of the leading causes of preventable death in Europe, therefore any opportunity to intervene and improve care should be maximised. Known CVD risk factors are routinely collected in the emergency department (ED), yet they are often not acted on. If the risk factors have prognostic value and a pathway can be created, then this would provide more holistic care for patients and reduce health system inefficiency.

Advanced cardiovascular risk prediction in the emergency department: updating a clinical prediction model - a large database study protocol.

Background: Patients presenting with chest pain represent a large proportion of attendances to emergency departments. In these patients clinicians often consider the diagnosis of acute myocardial infarction (AMI), the timely recognition and treatment of which is clinically important. Clinical prediction models (CPMs) have been used to enhance early diagnosis of AMI.

Attacks on healthcare: what information is needed to understand their impact? - a Delphi study.

The scale of attacks on healthcare in emergencies has become better understood through data collection. But less well un\derstood are the consequences of attacks. The purpose of this study was to establish what information could improve our understanding of the impacts of attacks on healthcare.

What is the inter-rater agreement of injury classification using the WHO minimum data set for emergency medical teams?

Background: In 2017, the WHO produced its first minimum data set (MDS) for emergency medical team (EMT) daily reporting during the sudden-onset disasters (SODs), following expert consensus. The MDS was deliberately designed to be simple in order to improve the rate of data capture; however, it is new and untested. This study assesses the inter-rater agreement between practitioners when performing the injury aspect of coding within the WHO EMT MDS.

Defining the Roles of Data Manager and Epidemiologist in Emergency Medical Teams.

Medical and epidemiological documentation in disasters is pivotal: the former for recording patient care and the latter for providing real-time information to the host country. Furthermore, documentation informs post-hoc analysis to improve the effectiveness of future deployments.Although documentation is considered important and indeed integral to health care response, there are many barriers and challenges.

A scoping review of the wider and long-term impacts of attacks on healthcare in conflict zones.

Attacks on health care in conflict zones are widespread and show no signs of relenting. Since 2011 several organizations have systemically collected data of these attacks and revealed their scale. However, little is known of the consequences of these attacks.

A Pilot of a UK Emergency Medical Team (EMT) Medical Record During a Deployment Training Course.

Unlabelled: IntroductionImproving medical record keeping is a key part of the World Health Organization's (WHO's; Geneva, Switzerland) drive to standardize and evaluate emergency medical team (EMT) response to sudden onset disasters (SODs).ProblemIn response to the WHO initiative, the UK EMT is redeveloping its medical record template in line with the WHO minimum dataset (MDS) for daily reporting. When changing a medical record, it is important to understand how well it functions before it is implemented.

What is positionality and should it be expressed in quantitative studies?

Although we are increasingly reaping the benefits of qualitative studies, their approach and that of quantitative studies remain rather separate. Emergency medicine practitioners thrive off research in context as we deal with such an undifferentiated population however quantitative 'hard-science' work is conspicuous for its absence of positionality. This contrasts strongly with the way in which qualitative research, within the domain of so-called soft-science literature, uses positionality as an integral element of the research process.