Royal Hospital Haslar

The number of in-water mass casualty incidents has increased in recent years and provides significant challenges to rescuers. Existing triage systems require the rescue of immersed (in water) casualties before triage is undertaken. A tool that enables triage to be undertaken before rescue, and therefore the prioritisation of that rescue, should improve the efficiency, efficacy and survival rate associated with the management of such incidents.In this paper, we describe the rationale and development of a proposed novel ‘in-water mass casualty triage tool (IWMCTT)’ to assist in the swift and effective triage of those in the water in mass casualty situations before they are rescued, based upon the likelihood of survival after immersion. The tool is based on a review of the literature related to the hazards associated with immersion, most notably drowning.The IWMCTT employs a sequential approach to streamline the identification and prioritisation for rescue of immersed individuals; it considers factors such as hazards, visibility constraints, purposeful swimming, moving or floating, airway position, availability of flotation assistance and flotation device effectiveness. It categorises casualties from W1 (high) to W4 (low) priority for rescue.The proposed IWMCTT offers a potential solution to some of the challenges faced during water-based mass casualty incidents; providing rescue assets (rigid-hulled, inflatable boats, ships and helicopters) with a rapid and effective approach to assess and prioritise individuals for rescue and medical attention, hopefully thereby reducing mortality and morbidity. The IWMCTT requires further evaluation and validation.

IntroductionMusculoskeletal injuries (MSKIs) are a significant problem in the Royal Navy, contributing to 48% of all medical discharges from service between 2019 and 2020. The objective of the study was to assess efficacy of implementing a neuromuscular training intervention to improve movement quality and reduce MSKIs in Royal Navy recruits undertaking initial military training.MethodsNeuromuscular training (pre-activation exercises, focusing on hip control) was integrated into the warm-up exercise regimen preceding physical training during the 10-week initial naval training (recruits) programme (January–March 2020) at HMS Raleigh (intervention group; n=162). A control group comprised (n=90) of recruits entering training from January 2019, who completed the standard warm-up programme prior to physical training. Movement control of the intervention group (intervention) was assessed before and after the 10-week programme using the Hip and Lower-Limb Movement Screen (HLLMS). Injury incidence proportion for both groups was determined retrospectively by review of medical notes.ResultsThe control group’s MSKI incidence proportion was 31%, which was higher (p<0.05) than the 8% reported in the intervention group. The majority of MSKIs were of the lower limb, and were reported in weeks 1, 2 and 5 of the 10-week training programme. Movement control, as assessed by the HLLMS score, improved (pretraining (week 1) and post-training (week 10) HLLMS score (mean (SD) pre: 11.2 (5.6); post: 8.4 (3.9); t=5.829, p<0.001) following the neuromuscular training in the intervention group but was not assessed in the control group.ConclusionA neuromuscular control intervention was successfully implemented during the initial military training in the Royal Navy. The cohort undertaking the intervention demonstrated lower injury incidence compared with an equivalent cohort of recruits who undertook standard training. Movement control improved following the intervention, indicating better movement quality. Continued use of the programme may reduce military training attrition in the Royal Navy.

BackgroundMilitary specialists are elite personnel who are trained to work across diverse operational environments where a high level of physical conditioning is a prerequisite for their role. Anecdotally, personnel are acknowledged to be at high risk of developing musculoskeletal injuries (MSKIs). However, there are presently no published data on this UK military population to support this view. This is the first (2-year) retrospective epidemiological study to identify the MSKI sustained by this military population.MethodsAll MSKI reported over a 2-year period (January 2018–December 2019) were recorded to identify the incidence, frequency, nature, onset, cause, location and reporting times. Injuries were described using injury count and relative frequency (percentage). Time at risk for each personnel day was calculated as 365 days.ResultsA total of 199 personnel reported 229 injuries over the reporting periods. The injury incidence rates were 26.8 personnel per 100 person years (2018) and 27.7 personnel per 100 person years (2019), respectively. Military training accounted for the highest number of injuries (32%), followed by ‘other injuries’ (28%), personal training (28%) and sport (12%). The leading activity associated with injury was weight training (15%), followed by running (11%) and military exercise (10%). Lower extremity injuries accounted for the highest number of injuries (40%), followed by trunk (36%) and upper extremity (24%) injuries.ConclusionThis study identifies the MSKI profile of a military specialist population over a 2-year period. Areas where modifiable risk factors may be identified to reduce risk of injury are highlighted. Recommendations for further research include investigating injury burden and the impact of injury on operational readiness.

BackgroundHospital discharge summaries play an essential role in informing GPs of recent admissions to ensure excellent continuity of care and prevent adverse events; however, they are notoriously poorly written, time-consuming, and can result in delayed discharge.AimTo evaluate the potential of artificial intelligence (AI) to produce high-quality discharge summaries equivalent to the level of a doctor who has completed the UK Foundation Programme.Design & settingFeasibility study using 25 mock patient vignettes.MethodTwenty-five mock patient vignettes were written by the authors. Five junior doctors wrote discharge summaries from the case vignettes (five each). The same case vignettes were input into ChatGPT. In total, 50 discharge summaries were generated; 25 by Al and 25 by junior doctors. Quality and suitability were determined through both independent GP evaluators and adherence to a minimum dataset.ResultsOf the 25 AI-written discharge summaries 100% were deemed by GPs to be of an acceptable quality compared with 92% of the junior doctor summaries. They both showed a mean compliance of 97% with the minimum dataset. In addition, the ability of GPs to determine if the summary was written by ChatGPT was poor, with only a 60% accuracy of detection. Similarly, when run through an AI-detection tool all were recognised as being very unlikely to be written by AI.ConclusionAI has proven to produce discharge summaries of equivalent quality to a junior doctor who has completed the UK Foundation Programme; however, larger studies with real-world patient data with NHS-approved AI tools will need to be conducted.

Triage is a key principle in the effective management of major incidents and has traditionally been performed using an assessment of a casualty's physiology. However, it has become apparent from recent experiences of major incidents that physiological triage may practically not be possible, especially in the early stages of an incident. A key factor is the speed with which it is possible to perform triage, and subsequently, the speed at which key life-saving interventions (e.g., management of external haemorrhage and airway opening manoeuvres) are able to be performed simultaneously as part of the triage process. Addressing this issue was a priority for the review of major incident triage undertaken by NHS England and culminated in the development of the Ten Second Triage (TST) tool.

This case report describes the successful management of an out-of-hospital arrest in a diver following a suspected arterial gas embolism (AGE). It illustrates both the inherent risks of diving and the importance of prompt and effective implementation of the “chain of survival” from bystanders. Rapid on-scene responses from paramedics and helicopter emergency medical services facilitated prompt evacuation to a Category 1 (multiplace) recompression chamber (RCC) where specialists in cardiology and hyperbaric medicine were available. Alternative causes of cardiac arrest were considered, with a presumed AGE successfully treated with multiple rounds of hyperbaric oxygen therapy. The key factors which led to this successful outcome are discussed, including early recognition and call for help, competent cardiopulmonary resuscitation, and direct evacuation to a Category 1 RCC, with additional consideration of the diagnosis leading to cardiac arrest. The case clearly illustrates the need for all those involved in diving regularly to be competent and confident in performing basic life support, as well as the awareness of the emergency services of the need for diving casualties to be treated at appropriate hyperbaric facilities. Were it not for the simple, prompt and effective treatment this diver received, both on scene and in hospital, it is highly unlikely that such a positive outcome would have been achieved.

Heat illnesses (HI) define a continuum of conditions where patients become incapacitated due to uncompensable heat stress. In the military, HI has a significant health, financial and operational burden that requires vigilant management. Military training and operations regularly expose personnel to known HI risk factors, meaning that prevalence remains high despite stringent attempts to reduce risk to as low as reasonably practicable. While prepubertal children and elderly adults are widely demonstrated to be at greater risk of classic HI than young adults due to impaired physiological and/or behavioural thermoregulation, in military personnel, it is young recruit-age individuals (16–19 years) who consistently experience the highest prevalence of exertional HI. Mechanistically, controlled laboratory studies have never directly compared thermoregulation between young recruit-age individuals and other groups of adults, though research highlighting impaired thermoregulation in prepubertal children potentially has some relevance to late-developing young recruit-age personnel. Aside from potential age-related differences in thermoregulation, a major consideration must also be given to the increased prevalence of organisational risk factors for HI in younger military personnel (eg, education, physical load, rank, job roles), which is likely to be the primary explanation behind age-related trends in HI prevalence, at least in the military. The aims of this article are to review: (i) the epidemiology of HI between young recruit-age individuals and older military personnel; (ii) the theoretical basis for age-associated differences in thermoregulatory function and (iii) pertinent areas for future research.