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. This can be due to denial of the condition itself, a wish to avoid treatment for a condition which may be valued, or because of the stigma attached to mental health. As a result their diagnosis can be easily missed by healthcare professionals and thus the prevalence is underappreciated. This article presents eating disorders to emergency and acute medicine practitioners from a new perspective using the combined emergency, psychiatric, nutrition and psychology lens. It focuses on the most serious acute pathology which can develop from the more common presentations; highlights indicators of hidden disease; discusses screening; suggests key acute management considerations and explores the challenge of mental capacity in a group of high-risk patients who, with the right treatment, can make a good recovery.

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. This can be due to denial of the condition itself, a wish to avoid treatment for a condition which may be valued, or because of the stigma attached to mental health. As a result their diagnosis can be easily missed by healthcare professionals and thus the prevalence is underappreciated. This article presents eating disorders to emergency and acute medicine practitioners from a new perspective using the combined emergency, psychiatric, nutrition and psychology lens. It focuses on the most serious acute pathology which can develop from the more common presentations; highlights indicators of hidden disease; discusses screening; suggests key acute management considerations and explores the challenge of mental capacity in a group of high-risk patients who, with the right treatment, can make a good recovery.

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.An example of the recent adaptation of a patient-reported outcome measure for use with ED patients is used to explore some key features of CCA, introduce the importance of CCA to emergency care practitioners and highlight the limitations of CCA.

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. We also monitored free open access medical education (FOAMed) sources for emerging themes. Title and abstract screening pooled the most relevant papers for emergency medicine. Three summary types were created, a 'Top 5 Flash Update', a journal club and a rapid response to emerging FOAMed themes. From these summaries, three modes of dissemination were used: short written summaries, blogs and podcasts. These were amplified through social media. Study design: A retrospective review was conducted assessing the impact of this knowledge dissemination strategy for the period of March to September 2020. Results: In total, 64 687 papers were identified and screened. Of the papers included in the 'Top 5', 28.3% were on epidemiology, 23.6% treatment, 16.7% diagnostics, 12% prognosis, 8.7% pathophysiology with the remaining 10.7% consisting of PPE, public health, well-being and 'other'. We published 37 blogs, 17 podcasts and 18 Top 5 Flash Updates. The blogs were read 138 343 times, the Top 5 Flash Updates 68 610 times and the podcasts had 72 501 listens. Conclusion: A combination of traditional academic and novel social media approaches can address the pandemic paradox clinicians are facing.

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. Using the three-round Delphi method, we sought consensus among experts in this field of study of attacks on healthcare to answer the study question. Seventeen experts agreed to take part. The experts generated a total of 222 unique statements identifying those data and information that would improve understanding of the impacts of attacks on healthcare, of which 162 reached consensus. All statements were categorized into 12 themes, each addressing different types of impacts. This Delphi study prepares the groundwork for a research agenda to explore the impacts of attacks on healthcare. These statements will be of use to academics working to expand the evidence base of attacks on healthcare. The study revealed disagreement on how widely the World Health Organization definition of an attack on healthcare should be interpreted and therefore what constitutes an impact of an attack. This is an important finding and further work is required to establish workable definitions for data collection.

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. METHODS: 25 clinical case vignettes were developed, reflecting potential injuries encountered in an SOD. These were presented online from April to July 2018 to practitioners who have experience of/training in managing patients in SODs The practitioners were from UK-Med's members, Australian Medical Assistance Team's Northern Territory members and New Zealand Medical Assistance Team members. Practitioners were asked to code injuries according to WHO EMT MDS case classifications. Randolph's kappa statistic for free-marginal multirater data was calculated for the whole dataset as well as subgroups to ascertain inter-rater agreement. RESULTS: 86 practitioners responded (20.6% response rate), giving >2000 individual case responses. Overall agreement was moderate at 67.9% with a kappa of 0.59 (95% CI 0.49 to 0.69). Despite subgroups of paramedics (kappa 0.63, 95% CI 0.53 to 0.72), doctors (kappa 0.61, 95% CI 0.52 to 0.69) and those with disaster experience (kappa 0.62, 95% CI 0.52 to 0.71) suggesting slightly higher agreement, their CIs (and those of other subgroups) suggest overall similar and moderate levels of practitioner agreement in classifying injuries according to the MDS categories. CONCLUSIONS: An inter-rater agreement of 0.59 is moderate, at best, however, it gives ministries of health some sense of how tightly they may interpret injury data derived from daily reports using WHO EMT MDS. Furthermore, this kappa is similar to established but more complex (thus more contextually impractical) injury scores. Similar studies, with weighting for injury likelihood using sample data from SODs would further refine the level of expected inter-rater agreement.

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. The purpose of this scoping review was to explore the literature on attacks on health care in conflict zones to understand what is known of the wider and long-term impacts. Using the Arksey and O'Malley framework we identified 233 articles for inclusion. Extracting descriptions of impacts, we were able to categorize this information into 15 broad themes. However, there are limitations in the data collection on impacts. Firstly it is not systemically collected after every attack or in all regions where attacks take place. Secondly, this data stops short of working down the chain of impacts to describe the full range of consequences. Lastly, the literature does not often distinguish between the impacts of attacks on health care and the impact of conflict on health. Discussion is needed as to how we define and understand attacks on health care and therefore the impacts of these attacks. Systematic methods for data collection on the impacts of attacks on healthcare are also needed to produce comprehensive data sets.