Determining the Impact of Hurricane Dorian and the Covid-19 Pandemic on Moral Distress in Emergency Medical Providers at the Rand Memorial Hospital: Moral distress in emergency medical personnel.

OBJECTIVES: The aim of this work was to determine the impact of Moral Distress (MD) in emergency physicians, nurses, and emergency medical service staff at the Rand Memorial Hospital (RMH) in the Bahamas, and the impact of Hurricane Dorian and the COVID-19 pandemic on Moral Distress. METHOD: A cross-sectional study utilizing a 3-part survey, which collected sociodemographic information, Hurricane Dorian and COVID-19 experiences, as well as responses to a validated modified Moral Distress Scale (MDS). RESULTS: Participants with 2 negatively impactful experiences from COVID-19 had statistically significantly increased MD compared to participants with only 1 negatively impactful experience (40.4 vs. 23.6, P = 0.014). Losing a loved one due to COVID-19 was associated with significantly decreased MD (B = - 0.42, 95% CI -19.70 to -0.88, P = 0.03). Losing a loved one due to Hurricane Dorian had a non-statistically significant trend towards higher MD scores (B = 0.34, 95% CI -1.23 to 28.75, P = 0.07). CONCLUSION: The emergency medical staff at the RMH reported having mild - moderate MD. This is one of the first studies to look at the impact of concurrent disasters on MD in emergency medical providers in the Bahamas.

Repeatability, reproducibility, and diagnostic accuracy of a commercial large language model (ChatGPT) to perform emergency department triage using the Canadian triage and acuity scale.

PURPOSE: The release of the ChatGPT prototype to the public in November 2022 drastically reduced the barrier to using artificial intelligence by allowing easy access to a large language model with only a simple web interface. One situation where ChatGPT could be useful is in triaging patients arriving to the emergency department. This study aimed to address the research problem: "can emergency physicians use ChatGPT to accurately triage patients using the Canadian Triage and Acuity Scale (CTAS)?". METHODS: Six unique prompts were developed independently by five emergency physicians. An automated script was used to query ChatGPT with each of the 6 prompts combined with 61 validated and previously published patient vignettes. Thirty repetitions of each combination were performed for a total of 10,980 simulated triages. RESULTS: In 99.6% of 10,980 queries, a CTAS score was returned. However, there was considerable variations in results. Repeatability (use of the same prompt repeatedly) was responsible for 21.0% of overall variation. Reproducibility (use of different prompts) was responsible for 4.0% of overall variation. Overall accuracy of ChatGPT to triage simulated patients was 47.5% with a 13.7% under-triage rate and a 38.7% over-triage rate. More extensively detailed text given as a prompt was associated with greater reproducibility, but minimal increase in accuracy. CONCLUSIONS: This study suggests that the current ChatGPT large language model is not sufficient for emergency physicians to triage simulated patients using the Canadian Triage and Acuity Scale due to poor repeatability and accuracy. Medical practitioners should be aware that while ChatGPT can be a valuable tool, it may lack consistency and may frequently provide false information.

ABSTRAIT: OBJECTIF: La sortie du prototype ChatGPT au public en novembre 2022 a considérablement réduit l'obstacle à l'utilisation de l'intelligence artificielle en permettant un accès facile à un grand modèle de langage avec une interface web simple. Une situation où ChatGPT pourrait être utile est de trier les patients qui arrivent au service d'urgence. Cette étude visait à résoudre le problème de la recherche : «Les médecins d'urgence peuvent-ils utiliser ChatGPT pour trier avec précision les patients à l'aide de l'Échelle canadienne de triage et d'acuité (ECTC) ?¼. MéTHODES: Six invites uniques ont été élaborées indépendamment par cinq urgentologues. Un script automatisé a été utilisé pour interroger ChatGPT avec chacune des six invites combinées à 61 vignettes de patients validées et précédemment publiées. Trente répétitions de chaque combinaison ont été réalisées pour un total de 10980 triages simulés. RéSULTATS: Dans 99.6 % des 10980 requêtes, un score CTAS a été obtenu. Cependant, il y a eu des variations considérables dans les résultats. La répétabilité (utilisation répétée de la même invite) était responsable de 21.0 % de la variation globale. La reproductibilité (utilisation de différentes invites) était responsable de 4.0 % de la variation globale. La précision globale de ChatGPT pour le triage des patients simulés était de 47.5 %, avec un taux de sous-triage de 13.7 % et un taux de triage supérieur de 38.7 %. Un texte plus détaillé donné à titre d'invite était associé à une plus grande reproductibilité, mais à une augmentation minimale de la précision. CONCLUSIONS: Cette étude suggère que le modèle actuel de ChatGPT en langage large n'est pas suffisant pour permettre aux médecins d'urgence de trier des patients simulés à l'aide de l'échelle canadienne de triage et d'acuité en raison de la faible répétabilité et de la faible précision. Les médecins doivent être conscients que, bien que ChatGPT puisse être un outil précieux, il peut manquer de cohérence et fournir fréquemment de fausses informations.

Analysis of Military-Civilian Patient Handoff at Vista Forge Multi-Agency Nuclear Disaster Exercise 2022.

INTRODUCTION: The leadership of Vista Forge 2022 requested evaluation of the handoff process between military assets and civilian emergency medical services (EMS) providers by the Beth Israel Deaconess Fellowship in Disaster Medicine (BIDMF). Vista Forge was a multi-agency military-civilian full-scale disaster exercise coordinated by the U.S. Military. The exercise, held in Atlanta, Georgia, simulated response to a nuclear bomb in an urban setting by military and civilian disaster teams. MATERIALS AND METHODS: BIDMF had several two-person teams who monitored handoff procedures between military assets after decontamination and civilian emergency medical services providers during the exercise evaluation. RESULTS: A verbal handoff between military and civilian entities was usually not done. Triage tags placed on mannequins before decontamination remained attached to the bodies and were sent with them to civilian hospitals. Triage tags were generic military forms without specific radiation or chemical exposure information. Not all decontamination groups had the same medical capabilities, and in a disaster it is unclear how these teams would manage medical emergencies. CONCLUSIONS: Future studies should develop a standardized handoff procedure to be used in mass casualty situations, and trial it in future multi-agency disaster exercises. Radiation specific triage tags should be considered.

Factors associated with international humanitarian aid appeal for disasters from 1995 to 2015: A retrospective database study.

INTRODUCTION: International humanitarian aid during disasters should be needs-based and coordinated in response to appeals from affected governments. We identify disaster and population factors associated with international aid appeal during disasters and hence guide preparation by international humanitarian aid providers. METHODS: In this retrospective database analysis, we searched the Emergency Events Database for all disasters from 1995 to 2015. Disasters with and without international aid appeals were compared by location, duration, type of disaster, deaths, number of people affected, and total estimated damage. Logistic regression was used to examine the association of each factor with international aid appeal. RESULTS: Of 13,961 disasters recorded from 1995 to 2015, 168 (1.2%) involved international aid appeals. Aid appeals were more likely to be triggered by disasters which killed more people (OR 1.29 [95% confidence interval (CI) 1.02-1.64] log10 persons), affected more people (OR 1.85 [95%CI 1.57-2.18] / log10 persons), and occurred in Africa (OR 1.67 [95%CI 1.06-2.62). Earthquakes (OR 4.07 [95%CI 2.16-7.67]), volcanic activity (OR 6.23 [95%CI 2.50-15.53]), and insect infestations (OR 12.14 [95%CI 3.05-48.35]) were more likely to trigger international aid appeals. International aid appeals were less likely to be triggered by disasters which occurred in Asia (OR 0.46 [95%CI 0.29-0.73]) and which were transport accidents (OR 0.12 [95%CI 0.02-0.89]). CONCLUSION: International aid appeal during disasters was associated with greater magnitude of damage, disasters in Africa, and specific types of disasters such as earthquakes, volcanic activity, and insect infestations. Humanitarian aid providers can focus preparation on these identified factors.

Descriptive Analysis of the Healthcare Aspects of Industrial Disasters Around the World.

OBJECTIVE: Industrial disasters can have a myriad of repercussions ranging from deaths, injuries, and long-term adverse health impacts on nearby populations, to political fallout and environmental damage. This is a descriptive epidemiological analysis of industrial disasters occurring between 1995 and 2021 which may provide useful insight for health-care systems and disaster medicine specialists to better prevent and mitigate the effects of future industrial disasters. METHODS: Data were collected using a retrospective database search of the Emergency Events Database (EM-DATS) for all industrial disasters occurring between January 1, 1995, and December 31, 2021. RESULTS: A total of 1054 industrial disasters were recorded from 1995 to 2021. Most of these disasters occurred in Asia (720; 68.3%), with 131 (12.4%) in Africa, 107 (10.2%) in Europe, 94 (8.9%) in the Americas, and 2 (0.2%) in Oceania. Half of these disasters were explosions (533; 50.6%), 147 (13.9%) were collapses, 143 (13.6%) were fires, 46 (4.4%) were chemical spills, 41 (3.9%) were gas leaks, and 34 (3.2%) were poisonings. There were 6 (0.6%) oil spills and 3 (0.3%) radiation events. CONCLUSIONS: A total of 29,708 deaths and 57,605 injuries were recorded as a result of industrial disasters, and they remain a significant contributor to the health-care risks of both workers and regional communities. The need for specialized emergency response training, the potential devastation of an industrial accident, and the vulnerability of critical infrastructure as terror targets highlight the need to better understand the potential immediate and long-term consequences of such events and to improve health-care responses in the future.

A Descriptive Analysis of the Use of Chemical, Biological, Radiological, and Nuclear Weapons by Violent Non-State Actors and the Modern-Day Environment of Threat.

INTRODUCTION: The use of chemical, biological, radiation, and nuclear (CBRN) weapons is not new, and though rare, it is an issue of concern around the world due to their ability to cause large-scale mass-casualty events and their potential threat to global stability. The purpose of this study is to explore the use of CBRN weapons by non-state actors through analysis of the Violent Non-State Actor (VNSA) CBRN Event database, and aims to better inform health care systems of the potential risks and consequences of such events. METHODS: Data collection was performed using a retrospective database search through the VNSA CBRN Event database. RESULTS: A total of 565 events were recorded. Five hundred and five (505) events (89.4%) involved single agents while 60 events (10.6%) involved multiple agents. Fatalities numbered 965 for chemical agents, 19 for biological agents, and none for radiological and nuclear events. Injuries numbered 7,540 for chemical agents, 59 for biological agents, 50 for radiological events, and none for nuclear attacks. Fatality and injury per attack was 2.22 and 17.37, respectively, for chemical event agents and 0.15 and 0.48, respectively, for biological event agents. CONCLUSION: Violent Non-State Actors were responsible for 565 unique events around the world involving the use of CBRN weapons from 1990-2020. The United States (118), Russia (49), and Iraq (43) accounted for the top three countries where these events occurred. While CBRN events remain relatively rare, technological advances have the potential to facilitate the use of such weapons as part of a hybrid warfare strategy with significant repercussions for civilian health and health care systems.

Terrorist Attacks in Sub-Saharan Africa from 1970 through 2020: Analysis and Impact from a Counter-Terrorism Medicine Perspective.

BACKGROUND: Sub-Saharan Africa (SSA) has become a hotspot for global terrorism, with nearly 50% of global terror-related deaths occurring in SSA in 2021. With a large population and complex geopolitical and social climate, terrorist activity further burdens an already strained medical system. This study provides a retrospective descriptive analysis of terrorist-related activity in SSA from 1970-2020. METHODS: A retrospective analysis of the Global Terrorism Database (GTD) was performed for the region of SSA from 1970-2020. Data were filtered using the internal database search function for all events in the following countries: Angola, Benin, Botswana, Burkina Faso, Burundi, Cameroon, Central African Republic, Chad, Comoros, the Democratic Republic of the Congo, Djibouti, Equatorial Guinea, Eritrea, Ethiopia, Gabon, Gambia, Ghana, Guinea, Guinea-Bissau, Ivory Coast, Kenya, Lesotho, Liberia, Madagascar, Malawi, Mali, Mauritania, Mozambique, Namibia, Niger, Nigeria, People's Republic of the Congo, Republic of the Congo, Rhodesia, Rwanda, Senegal, Seychelles, Sierra Leone, Somalia, South Africa, South Sudan, Sudan, Swaziland, Tanzania, Togo, Uganda, Zaire, Zambia, and Zimbabwe. Number of attacks, deaths, and injuries, as well as primary weapons types, country where attacks occurred, and primary target types, were collated and analyzed. RESULTS: A total 19,320 attacks were recorded, resulting in 77,565 deaths and 52,986 injuries. Firearms were the most frequent weapons used (8,745), followed by explosives (6,031), unknown (2,615), and incendiary (1,246), with all others making up the remainder (683.) Private citizens and property were the most frequently targeted entities (8,031), followed by general government facilities (2,582), police (1,854), business (1,446), military (805), diplomatic government facilities (741), and religious figures/institution (678), with all other targets making up the remainder (3,183). CONCLUSION: The majority of deaths from terrorism in SSA are the result of firearm attacks and explosions. Nigeria, Somalia, South Africa, The Democratic Republic of the Congo, and Sudan have had the largest number of attacks since 1970, and Nigeria has the largest number of people killed and injured. The health implications of terrorist attacks are often compounded by violence and pose unique challenges to governments, populations, and aid organizations. By understanding the impact and scope of terrorist activity in SSA, Counter-Terrorism Medicine (CTM) initiatives can be employed to improve health care outcomes.

Factors reducing inappropriate attendances to emergency departments before and during the COVID-19 pandemic: A multicentre study.

INTRODUCTION: Inappropriate attendances (IAs) to emergency departments (ED) create an unnecessary strain on healthcare systems. With decreased ED attendance during the COVID-19 pandemic, this study postulates that there are less IAs compared to before the pandemic and identifies factors associated with IAs. METHODS: We performed a retrospective review of 29,267 patient presentations to a healthcare cluster in Singapore from 7 April 2020 to 1 June 2020, and 36,370 patients within a corresponding period in 2019. This time frame coincided with local COVID-19 lockdown measures. IAs were defined as patient presentations with no investigations required, with patients eventually discharged from the ED. IAs in the 2020 period during the pandemic were compared with 2019. Multivariable logistic regression was performed to identify factors associated with IAs. RESULTS: There was a decrease in daily IAs in 2020 compared to 2019 (9.91±3.06 versus 24.96±5.92, P<0.001). IAs were more likely with self-referrals (adjusted odds ratio [aOR] 1.58, 95% confidence interval [CI] 1.50-1.66) and walk-ins (aOR 4.96, 95% CI 4.59-5.36), and those diagnosed with non-specific headache (aOR 2.08, 95% CI 1.85-2.34), or non-specific low back pain (aOR 1.28, 95% CI 1.15-1.42). IAs were less likely in 2020 compared to 2019 (aOR 0.67, 95% CI 0.65-0.71) and older patients (aOR 0.79 each 10 years, 95% CI 0.78-0.80). CONCLUSION: ED IAs decreased during COVID-19. The pandemic has provided a unique opportunity to examine factors associated with IAs.

Noninvasive Ventilation as a Temporizing Measure in Critical Fixed Central Airway Obstruction: A Case Report.

BACKGROUND: Critical central airway obstruction (CAO) requires emergent airway intervention, but current guidelines lack specific recommendations for airway management in the emergency department (ED) while awaiting rigid bronchoscopy. There are few reports of the use of noninvasive ventilation (NIV) in tracheomalacia, but its use as a temporizing treatment option in fixed, malignant CAO has not, to the best of our knowledge, been reported. CASE REPORT: An 84-year-old woman presented to the ED in respiratory distress, too breathless to speak and using her accessory muscles of respiration, with bilateral rhonchi throughout the lung fields. Point-of-care arterial blood gas revealed severe hypercapnia, and NIV was initiated to treat a presumed bronchitis with hypercapnic respiratory failure. Chest radiography revealed a paratracheal mass with tracheal deviation and compression. A diagnosis of critical CAO was made. While arranging for rigid bronchoscopic stenting, the patient was kept on NIV to good effect. WHY SHOULD AN EMERGENCY PHYSICIAN BE AWARE OF THIS?: Recommendations for emergent treatment of life-threatening, critical CAO before bronchoscopic intervention are not well established. Furthermore, reports of NIV use in CAO are rare. We suggest that emergency physicians consider NIV as a temporizing measure for critical CAO while awaiting availability of bronchoscopy.

Individual and area-level socioeconomic status and their association with depression amongst community-dwelling elderly in Singapore.

OBJECTIVES: Neighborhood socioeconomic status (SES) can be associated with depression. We aimed to assess prevalence of depression amongst community-dwelling elderly in a multiethnic, urban, low-SES, Asian neighborhood, comparing against a higher SES neighborhood. METHOD: The study population involved all residents aged ≥60 years in two Singaporean housing estates comprising owner-occupied public housing (higher SES) and public rental housing (low SES) in 2012. Having lifetime prevalence of depression was defined as having a score ≥5 on the Geriatric Depression Scale-15 or a history of depression. Demographic/clinical details were collected via questionnaire. Those with depression were referred to local polyclinics. Multilevel multivariate logistic regression determined predictors of depression and depression screening. RESULTS: Participation was 61.5% (559/909). In the low-SES community, 26.2% (104/397) had depression, compared with 14.8% (24/162) in the higher SES community. After adjusting for other sociodemographic variables, staying in a low-SES community (public rental housing) was independently a ssociated with depression [adjusted odds ratio (aOR) = 1.68, 95% confidence interval (CI) = 1.02-2.84]. Within the low-SES community, not being married (aOR = 2.27, CI = 1.35-3.70), falls (aOR = 2.72, CI = 1.59-4.67), visual impairment (aOR = 2.37, CI = 1.28-4.39), and poorer social network (aOR = 3.70, CI = 1.96-7.14) were associated with depression. CONCLUSION: Residing in a low-SES community was independently associated with depression after controlling for individual SES.