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Innovative large language model (LLM)-powered chatbots, which are extremely popular nowadays, represent potential sources of information on resuscitation for the general public. For instance, the chatbot-generated advice could be used for purposes of community resuscitation education or for just-in-time informational support of untrained lay rescuers in a real-life emergency.
Study Objective:
This study focused on assessing performance of two prominent LLM-based chatbots, particularly in terms of quality of the chatbot-generated advice on how to give help to a non-breathing victim.
Methods:
In May 2023, the new Bing (Microsoft Corporation, USA) and Bard (Google LLC, USA) chatbots were inquired (n = 20 each): “What to do if someone is not breathing?” Content of the chatbots’ responses was evaluated for compliance with the 2021 Resuscitation Council United Kingdom guidelines using a pre-developed checklist.
Results:
Both chatbots provided context-dependent textual responses to the query. However, coverage of the guideline-consistent instructions on help to a non-breathing victim within the responses was poor: mean percentage of the responses completely satisfying the checklist criteria was 9.5% for Bing and 11.4% for Bard (P >.05). Essential elements of the bystander action, including early start and uninterrupted performance of chest compressions with adequate depth, rate, and chest recoil, as well as request for and use of an automated external defibrillator (AED), were missing as a rule. Moreover, 55.0% of Bard’s responses contained plausible sounding, but nonsensical guidance, called artificial hallucinations, that create risk for inadequate care and harm to a victim.
Conclusion:
The LLM-powered chatbots’ advice on help to a non-breathing victim omits essential details of resuscitation technique and occasionally contains deceptive, potentially harmful directives. Further research and regulatory measures are required to mitigate risks related to the chatbot-generated misinformation of public on resuscitation.
Pediatric patients transferred by Emergency Medical Services (EMS) from urgent care (UC) and office-based physician practices to the emergency department (ED) following activation of the 9-1-1 EMS system are an under-studied population with scarce literature regarding outcomes for these children. The objectives of this study were to describe this population, explore EMS level-of-care transport decisions, and examine ED outcomes.
Methods:
This was a retrospective review of patients zero to <15 years of age transported by EMS from UC and office-based physician practices to the ED of two pediatric receiving centers from January 2017 through December 2019. Variables included reason for transfer, level of transport, EMS interventions and medications, ED medications/labs/imaging ordered in the first hour, ED procedures, ED disposition, and demographics. Data were analyzed with descriptive statistics, X2 test, point biserial correlation, two-sample z test, Mann-Whitney U test, and 2-way ANOVA.
Results:
A total of 450 EMS transports were included in this study: 382 Advanced Life Support (ALS) runs and 68 Basic Life Support (BLS) runs. The median patient age was 2.66 years, 60.9% were male, and 60.7% had private insurance. Overall, 48.9% of patients were transported from an office-based physician practice and 25.1% were transported from UC. Almost one-half (48.7%) of ALS patients received an EMS intervention or medication, as did 4.41% of BLS patients. Respiratory distress was the most common reason for transport (46.9%). Supplemental oxygen was the most common EMS intervention and albuterol was the most administered EMS medication. There was no significant association between level of transport and ED disposition (P = .23). The in-patient admission rate for transported patients was significantly higher than the general ED admission rate (P <.001).
Conclusion:
This study demonstrates that pediatric patients transferred via EMS after activation of the 9-1-1 system from UC and medical offices are more acutely ill than the general pediatric ED population and are likely sicker than the general pediatric EMS population. Paramedics appear to be making appropriate level-of-care transport decisions.
Events, specifically those where excessive alcohol consumption is common, pose a risk to increase alcohol-related presentations to emergency departments (EDs). Limited evidence exists that synthesizes the impact from events on alcohol-related presentations to EDs.
Study Objective:
This integrative review aimed to synthesize the literature regarding the impact events have on alcohol-related presentations to EDs.
Methods:
An integrative literature review methodology was guided by the Preferred Reporting Items of Systematic Reviews and Meta-Analysis (PRISMA) Guidelines for data collection, and Whittemore and Knafl’s framework for data analysis. Information sources used to identify studies were MEDLINE, CINAHL, and EMBASE, last searched May 26, 2021.
Results:
In total, 23 articles describing 46 events met criteria for inclusion. There was a noted increase in alcohol-related presentations to EDs from 27 events, decrease from eight events, and no change from 25 events. Public holidays, music festivals, and sporting events resulted in the majority of increased alcohol-related presentations to EDs. Few articles focused on ED length-of-stay (LOS), treatment, and disposition.
Conclusion:
An increase in the consumption of alcohol from holiday, social, and sporting events pose the risk for an influx of presentations to EDs and as a result may negatively impact departmental flow. Further research examining health service outcomes is required that considers the impact of events from a local, national, and global perspective.
The use of telemedicine for the prehospital management of emergency conditions, especially stroke, is increasing day by day. Few studies have investigated the applications of telemedicine in Emergency Medical Services (EMS). A comprehensive study of the applications of this technology in stroke patients in ambulances can help to build a better understanding. Therefore, this systematic review was conducted to investigate the use of telemedicine in ambulances for stroke patients in 2023.
Methods:
A systematic search was conducted in PubMed, Cochrane, Scopus, ProQuest, Science Direct, and Web of Science from 2013 through March 1, 2023. The authors selected the articles based on keywords and criteria and reviewed them in terms of title, abstract, and full text. Finally, the articles that were related to the study aim were evaluated.
Results:
The initial search resulted in the extraction of 2,795 articles. After review of the articles, and applying the inclusion and exclusion criteria, seven articles were selected for the final analysis. Three (42.85%) studies were on the feasibility and intervention types. Also, randomized trials, feasibility, feasibility and prospective-observational, and feasibility and retrospective-interventional studies were each one (14.28%). Six (85.71%) of the studies were conducted in the United States. The National Institutes of Health Stroke Scale (NIHSS) and RP-Xpress were the most commonly used tools for neurological evaluations and teleconsultations.
Conclusion:
Remote prehospital consultations, triage, and sending patient data before they go to the emergency department can be provided through telemedicine in ambulances. Neurological evaluations via telemedicine are reliable and accurate, and they are almost equal to in-person evaluations by a neurologist.
Disaster Medicine (DM) is the clinical specialty whose expertise includes the care and management of patients and populations outside conventional care protocols. While traditional standards of care assume the availability of adequate resources, DM practitioners operate in situations where resources are not adequate, necessitating a modification in practice. While prior academic efforts have succeeded in developing a list of core disaster competencies for emergency medicine residency programs, international fellowships, and affiliated health care providers, no official standardized curriculum or consensus has yet been published to date for DM fellowship programs based in the United States.
Study Objective:
The objective of this work is to define the core curriculum for DM physician fellowships in the United States, drawing consensus among existing DM fellowship directors.
Methods:
A panel of DM experts was created from the members of the Council of Disaster Medicine Fellowship Directors. This council is an independent group of DM fellowship directors in the United States that have met annually at the American College of Emergency Physicians (ACEP)’s Scientific Assembly for the last eight years with meeting support from the Disaster Preparedness and Response Committee. Using a modified Delphi technique, the panel members revised and expanded on the existing Society of Academic Emergency Medicine (SAEM) DM fellowship curriculum, with the final draft being ratified by an anonymous vote. Multiple publications were reviewed during the process to ensure all potential topics were identified.
Results:
The results of this effort produced the foundational curriculum, the 2023 Model Core Content of Disaster Medicine.
Conclusion:
Members from the Council of Disaster Medicine Fellowship Directors have developed the 2023 Model Core Content for Disaster Medicine in the United States. This living document defines the foundational curriculum for DM fellowships, providing the basis of a standardized experience, contributing to the development of a board-certified subspecialty, and informing fellowship directors and DM practitioners of content and topics that may appear on future certification examinations.
Acute coronary syndromes (ACS) are hard to diagnose because their clinical presentation is broad. Current guidelines suggest early clinical risk stratification to the optimal site of care. The aim of this study was to investigate the ability of Thrombolysis in Myocardial Infarction (TIMI); History, Electrocardiogram, Age, Risk Factors, Troponin (HEART); and Global Registry of Acute Coronary Events (GRACE) risk scores to predict the development of major adverse cardiac events (MACE) and the angiographic severity of coronary artery disease (CAD) in patients diagnosed with non-ST-segment elevation acute coronary syndrome (NSTEACS) in the emergency department (ED). In addition, independent variables associated with the development of MACE were also examined.
Methods:
This study is a prospective, observational, single-center study. All patients over 18 years of age who were planned to be hospitalized for pre-diagnosed NSTEACS (NSTEMI + UAP) were included in the study consecutively. Patients’ demographic information and all variables necessary for calculating risk scores (TIMI, HEART, and GRACE) were recorded. Two experienced cardiologists evaluated all coronary angiograms and calculated the Gensini score.
Results:
The median age was 60 (IQR: 18) years, and 220 (61.6%) were male of the 357 patients included in the study. In this study, 91 MACE (52 percutaneous coronary interventions [PCI], 28 coronary artery bypass graft [CABG], three cerebrovascular disease [CVD], and eight deaths) occurred. The 30-day MACE rate was 25.5%. The low-risk group constituted 40.0%, 1.4%, and 68.0% of the population, respectively, in TIMI, HEART, and GRACE scores. Multiple logistic regression models for predicting MACE, age (P = .005), mean arterial pressure (MAP; P = .015), and High-Sensitive Troponin I (P = .004) were statistically significant.
Conclusion:
The ability of the GRACE, HEART, and TIMI risk scores to predict severe CAD in patients with NSTEACS is similar. In patients with NSTEACS, the HEART and GRACE risk scores can better predict the development of MACE than the TIMI risk score. When low-risk groups are evaluated according to the three risk scores, the HEART score is more reliable to exclude the diagnosis of NSTEACS.
The smart glasses were implemented as an innovative communication tool to enhance effectiveness in the field. The traditional mode of communication for Emergency Medical Services (EMS) was radio, which had significant restrictions, primarily that they were unable to transmit any visual data. To enhance efficiency, the smart glasses were used for a more accurate assessment of the condition of patients during transportation. At this time, however, no prior study has shown significant benefits of employing smart glasses into EMS.
Study Objective:
The primary objective of this study is to compare the duration of patient care in an ambulance between the use and non-use of smart glasses. The secondary objective is to identify the characteristics of data communication between the ambulance and the hospital.
Methods:
This retrospective study utilized data gathered from closed-circuit television (CCTV) in ambulances at Srinagarind Hospital, Thailand. The data were collected over a six-month period, specifically from July through December 2021. The study included two groups: the smart glasses group and no smart glasses groups, both used during EMS operations. The primary data collected focused on the duration of patient care in the ambulance. Additionally, the type and characteristics of data transfers via smart glasses during EMS operations were also recorded.
Results:
Out of the 256 EMS operations included in this study, 53.1% (N = 68) of the participants in the smart glasses group were male. The majority of operations were performed during the afternoon shift in both groups. The average patient care time in the smart glasses group was 10.07 minutes, while it was 5.10 minutes in the no smart glasses group (P <.001), indicating a significant difference. Visual data communication between the ambulance and the hospital via smart glasses predominantly involved vital signs (100.0%), physical examination (56.3%), and neurological examination (42.2%). The use of audio data from the hospital to the ambulance primarily included taking additional patient history (26.6%) and performing physical examinations (19.5%).
Conclusion:
The implementation of smart glasses in EMS operations resulted in an increase in patient care time in the ambulance. Furthermore, the use of smart glasses facilitated an effective channel of real-time two-way communication between the ambulance and the hospital.
Identifying early predictors of dialysis requirements in earthquake-related injuries is crucial for optimal resource allocation and timely intervention. This study aimed to develop a predictive scoring system, named SAFE-QUAKE (Seismic Assessment of Kidney Function to Rule Out Dialysis Requirement), to identify patients at high risk of developing acute kidney injury (AKI) and requiring dialysis.
Methods:
A retrospective analysis was conducted on a cohort of 205 patients presenting with earthquake-related injuries. Patients were divided into two groups based on their need for dialysis: the no dialysis group (n = 170) and the dialysis group (n = 35). Demographic, clinical, and laboratory data were collected and compared between the two groups to identify significant predictors of dialysis requirements. The parameters that would form the score were determined by conducting an importance analysis using artificial neural networks (ANNs) to identify parameters that exhibited statistically significant differences in univariate analysis.
Results:
The dialysis group had a significantly longer median duration of being trapped under debris (48 hours) compared to the no dialysis group (eight hours). Blood gas and laboratory analyses revealed significant differences in pH levels, lactate values, creatinine levels, lactate dehydrogenase (LDH) levels, and aspartate transaminase (AST)-to-alanine transaminase (ALT) ratio between the two groups. Based on these findings, the SAFE-QUAKE rule-out scoring system was developed, incorporating entrapment duration (<45 hours), pH levels (>7.31), creatinine levels (<2mg/dL), LDH levels (<1600mg/dL), and the AST-to-ALT ratio (<2.4) as key predictors of dialysis requirements. This score included 139 patients, and among them, only one patient required dialysis, resulting in a negative predictive value of 99.29%.
Conclusions:
The SAFE-QUAKE scoring system demonstrated a high negative predictive value of 99.29% in ruling out the need for dialysis among earthquake-related injury cases. This scoring system offers a practical approach for health care providers to identify patients at high risk of developing AKI and requiring dialysis in earthquake-affected regions.
Uncontrolled trauma-related hemorrhage remains the primary preventable cause of death among those with critical injury.
Study Objective:
The purpose of this investigation was to evaluate the types of trauma associated with critical injury and trauma-related hemorrhage, and to determine the time to definitive care among patients treated at major trauma centers who were predicted to require massive transfusion.
Methods:
A secondary analysis was performed of the Pragmatic, Randomized, Optimal Platelet and Plasma Ratios (PROPPR) trial data (N = 680). All patients included were predicted to require massive transfusion and admitted to one of 12 North American trauma centers. Descriptive statistics were used to characterize patients, including demographics, type and mechanism of injury, source of bleeding, and receipt of prehospital interventions. Patient time to definitive care was determined using the time from activation of emergency services to responder arrival on scene, and time from scene departure to emergency department (ED) arrival. Each interval was calculated and then summed for a total time to definitive care.
Results:
Patients were primarily white (63.8%), male (80.3%), with a median age of 34 (IQR 24-51) years. Roughly one-half of patients experienced blunt (49.0%) versus penetrating (48.2%) injury. The most common types of blunt trauma were motor vehicle injuries (83.5%), followed by falls (9.3%), other (3.6%), assaults (1.8%), and incidents due to machinery (1.8%). The most common types of penetrating injuries were gunshot wounds (72.3%), stabbings (24.1%), other (2.1%), and impalements (1.5%). One-third of patients (34.5%) required some prehospital intervention, including intubation (77.4%), chest or needle decompression (18.8%), tourniquet (18.4%), and cardiopulmonary resuscitation (CPR; 5.6%). Sources of bleeding included the abdomen (44.3%), chest (20.4%), limb/extremity (18.2%), pelvis (11.4%), and other (5.7%). Patients waited for a median of six (IQR4-10) minutes for emergency responders to arrive at the scene of injury and traveled a median of 27 (IQR 19-42) minutes to an ED. Time to definitive care was a median of 57 (IQR 44-77) minutes, with a range of 12-232 minutes. Twenty-four-hour mortality was 15% (n = 100) with 81 patients dying due to exsanguination or hemorrhage.
Conclusion:
Patients who experience critical injury may experience lengthy times to receipt of definitive care and may benefit from bystander action for hemorrhage control to improve patient outcomes.
In recent years, unmanned aerial vehicles (UAVs) have been increasingly used for medical surveillance purposes in mass-gathering events. No studies have investigated the reliability of live video transmission from UAVs for accurate identification of distressed race participants in need of medical attention. The aim of this study was to determine the proportion of time during which live medical surveillance UAV video feed was successfully transmitted and considered of sufficient quality to identify acute illness in runners participating in the 2022 Montreal Marathon (Canada).
Methods:
Four UAVs equipped with high-resolution cameras were deployed at two pre-defined high-risk areas for medical incidents located within the last 500 meters of the race. The video footage was transmitted in real-time during four consecutive hours to a remote viewing station where four research assistants monitored it on large screens. Interruptions in live feed transmission and moments with inadequate field of view (FOV) on runners were documented.
Results:
On September 25, 2022, a total of 6,916 athletes ran during the Montreal Marathon and Half Marathon. Out of the eight hours of video footage analyzed (four hours per high-risk area), 91.7% represented uninterrupted live video feed with an adequate view of the runners passing through the high-risk areas. There was a total of 18 live feed interruptions leading to a total interruption time of 22 minutes and 19 seconds (median interruption time of 32 seconds) and eight distinct moments with inadequate FOV on runners which accounted for 17 minutes and 33 seconds (median of 1 minute 47 seconds per moments with inadequate FOV). Active surveillance of drone-captured footage allowed early identification of two race participants in need of medical attention. Appropriate resources were dispatched, and UAV repositioning allowed for real-time viewing of the medical response.
Conclusion:
Live video transmission from UAVs for medical surveillance of runners passing through higher risk segments of a marathon for four consecutive hours is feasible. Live feed interruptions and moments with inadequate FOV could be minimized through practice and additional equipment redundancy.
There is no universal tool for measuring disaster preparedness in the general population. This study aimed to provide a summary of the domains and psychometric properties of the available scales that assess preparedness for disasters, or one of its main types, among individuals or households.
Methods:
This study is a systematic review of the literature on disaster preparedness tools. Studies published up to December 2022 were identified through a systematic search of four databases: Google Scholar, PubMed, Scopus, and Web of Science. Consensus-Based Standards for the Selection of Health Measurement Instruments (COSMIN) were used to review and evaluate the psychometric properties. The Preferred Reporting Items for Systematic Review and Meta-Analysis (PRISMA) guidelines were used to report this article.
Results:
Twelve articles met the inclusion criteria. Among them, five scales measured general disaster preparedness, five measured earthquake preparedness, one measured flood preparedness, and one measured bushfire preparedness. The scales had a number of dimensions ranging from one to six. The most common item topics in the included scales were as follows: having an evacuation plan (n = 7), information source (n = 7), fire extinguisher (n = 6), and emergency kit (n = 5). The scales were rated sufficient for content validity (n = 10), structural validity (n = 5), internal consistency (n = 5), and test-re-test reliability (n = 6). One scale was checked for criterion validity and was rated as insufficient according to the COSMIN guidelines.
Conclusion:
The findings suggest the need to improve the psychometric properties of the scales, expand their contents, and develop scales relevant to target populations. This study provides useful information for researchers to develop comprehensive assessment tools and valuable sources of items for future scales.
The Russian invasion of Ukraine in 2022 has affected more people and destroyed a local public health facility. When some territories in Ukraine were de-occupied, national and international mobile clinics (MCs) were involved for medical assistance to local inhabitants. Knowledge about population health, medical, and humanitarian needs after they have been de-occupied has to improve planning for health system response.
Objective:
The aim of this study was to summarized the MC experience at the first month after the area was de-occupied, as well as to show out-patient visits and to identify a need for medicines and medical equipment in the MC.
Methods:
The information related to the missions was obtained by direct observation and estimation on empirical data gathering in the field during a twelve-day mission in April-May 2022. All patients were divided by age, sex, and diseases according to the International Classification of Diseases-10 (ICD-10). During the twelve-day MC mission, medical assistance was provided for 478 out-patients. Descriptive statistical methods were undertaken using Microsoft Office 2019, Excel with data analysis.
Interventions:
All out-patients were evaluated clinically. Personal medical cards were completed for each patient. Glucose testing as well as tests for coronavirus disease 2019/COVID-19 had been done, if it was necessary. All sick persons were treated for their disease.
Results:
The priority needs for emergency and primary medical care, medicines, and hygienic and sanitation supplies after the area was de-occupied were fixed. The most frequent reasons for visiting the МС were: hypertension (27.6%), musculoskeletal-related (arthritis) diseases (26.9%), heart and peripheral vascular diseases (12.1%), upper gastrointestinal disorder (5.4%), upper respiratory infection (5.0%), and diabetes Type-2 (3.7%). Other diagnoses such as lower respiratory tract infection, diagnoses of the digestive system (hemorrhoids and perianal venous thrombosis), chronic obstructive pulmonary disease/COPD or asthma, eye diseases, gynecology-related condition, menstrual condition, and urinary tract disorder were distributed almost equally (0.21%-2.51%) among the patient population.
Conclusions:
In the de-occupied territories, a health responder could be ready for medical assistance to patients with noncommunicable diseases (NCDs) as well as to support a person with psychological reactions who asked for sedatives and sleep-inducing medicines. These data clearly demonstrate that MCs must be equipped by blood pressure (BP) monitor, stethoscope, pulse oximeter, and diabetes testing kit glucose with essential medicines. This study improves health response planning for local civilian populations in de-occupied territory.
In May 2023, the Italian region Emilia-Romagna was hit by intense rainfall, which caused extensive floods in densely populated areas. On May 4, 2023, a 12-month state of emergency was declared in the region with the activation of response and recovery plans. This field report provides an overview of the health response to the floods, paying particular attention to the measures put in place to ensure care for displaced populations and raising interesting points of discussion regarding the role of the health system during extreme weather events (EWEs). The considerations that emerge from this report underline the need for a primary care approach to disasters, especially when these occur in areas with a high prevalence of elderly resident population, and underscore the importance of integration of different levels of care.
Since 1902, disasters in the Northern Triangle of Central America, which consists of the countries Guatemala, Honduras, and El Salvador, have caused over one-hundred-thousand deaths, affected millions of people, and caused tens of billions of dollars in damages. Understanding the nature and frequency of these events will allow stakeholders to decrease both the acute damages and the long-term deleterious consequences of disasters.
Study Objective:
This study provides a descriptive analysis of all disasters recorded in the Emergency Events Database (EM-DAT) affecting Guatemala, Honduras, and El Salvador from 1902-2022.
Methods:
Data were collected and analyzed from the EM-DAT, which categorizes disasters by frequency, severity, financial cost, distribution by country, burden of death, number of people affected, financial cost by country, and type of disasters most prevalent in each country. Results are presented as absolute numbers and as a percentage of the overall disaster burden. These trends are then graphed over the time period of the database.
Results:
The EM-DAT recorded 359 disasters in the Northern Triangle from 1902 through 2022. Meteorologic events (floods and storms) were the most common types of disaster (44%), followed by transport accidents (13%). Meteorologic events and earthquakes were the most severe, as measured by deaths (62%), people affected (60%), and financial cost (86%). Guatemala had the greatest number of disasters (45%), deaths (68%), and affected people (52%). The financial costs of the disasters were evenly distributed between the three countries.
Conclusion:
Meteorologic disasters are the most common and most severe type of disaster in the Northern Triangle. Earthquakes and transport accidents are also common. As climate change causes more severe storms in the region, disasters are likely to increase in severity as well. Governments and aid organizations should develop disaster preparedness and mitigation strategies to lessen the catastrophic effects of future disasters. Missing data limit the conclusions of this study to general trends.
Earthquakes are sudden-onset natural disasters that are associated with substantial material damage, resulting in the collapse of built environment with a high rate of mortality, injury, and disability. Crush syndrome, which can be seen after devastating earthquakes, can lead to acute kidney injury (AKI) and patients may require amputation, fasciotomy, and dialysis. Supportive treatment has an important role in the prognosis of these patients.
Study Objective:
The aim of this study was to investigate the demographic and clinical characteristics of traumatic earthquake survivors admitted to the emergency department (ED) of a hospital, which was close to the earthquake zone but not affected by the earthquake, after the February 6, 2023 Kahramanmaraş (Turkey) earthquakes.
Materials and Methods:
This study was conducted by retrospectively analyzing the data of 1,110 traumatized earthquake survivors admitted to the ED of a tertiary care university hospital from February 6th through February 20th, 2023. Age; gender; time of presentation; presence of comorbid diseases; ED triage category; duration of stay under debris; presence of additional trauma; laboratory tests; presence of AKI; presence of crush injury and injury sites; supportive treatment (fluid replacement and intravenous [IV] sodium bicarbonate); need for amputation, dialysis, and fasciotomy; duration of hospitalization; and outcome of ED were evaluated.
Results:
Of the 1,110 traumatic victims in this study, 55.5% were female patients. The mean age of the patients was 45.94 (SD = 16.7) years; the youngest was 18 years old and the oldest was 95 years old. Crush injury was detected in 18.8% and AKI in 3.0% of the patients. Dialysis, amputation, and fasciotomy were required in 1.6%, 2.8%, and 1.4% of the patients, respectively. In total, 29.2% of patients were hospitalized, including 2.9% admitted to the intensive care unit (ICU) and 26.3% to the relevant ward. In total, 0.3% of the patients included in the study died at ED.
Conclusion:
Post-earthquake patients may present with crush injury, AKI may develop, and fasciotomy, amputation, and dialysis may be needed, so hospitals and EDs should be prepared for natural disasters such as earthquakes.
Handheld ultrasound (HHU) devices have gained prominence in emergency care settings and post-graduate training, but their application in the diagnosis of pediatric fractures remains under-explored. The aim of this study is to evaluate the effectiveness and accuracy of an HHU device for diagnosing pediatric forearm fractures using a simulation model.
Methods:
The materials for the basic pediatric fracture model include turkey bones soaked in white vinegar to make them pliable, food-grade gelatine, and plastic containers. Ultrasound analysis of the models was done with an HHU device, Sonosite İViz US (FUJIFILM Sonosite, Inc.; Bothell, Washington USA). Four different fracture patterns (transverse fracture, oblique fracture, greenstick fracture, and a torus fracture) and one model without fracture were used in this study. Twenty-six Emergency Medicine residents sonographically evaluated different bone models in order to define the presence and absence of fracture and the fracture subtype. The participants’ ability to obtain adequate images and the time taken to create and recognize the images were evaluated and recorded. After the sonographic examination, the residents were also asked for their opinion on the model as a teaching tool.
Results:
All participants (100%) recognized the normal bone model and the fracture, regardless of the fracture type. The consistency analysis between the practitioners indicated a substantial agreement (weighted kappa value of 0.707). The duration to identify the target pathology in fracture models was significantly longer for the greenstick fracture (78.57 [SD = 30.45] seconds) model compared to other models. The majority of participants (92.3%) agreed that the model used would be a useful teaching tool for learning ultrasound diagnosis of pediatric forearm fractures.
Conclusions:
All participants successfully identified both the normal bone model and the presence of fractures, irrespective of the fracture type. Significantly, the identification of the greenstick fracture took longer compared to other fracture types. Moreover, the majority of participants acknowledged the model’s utility as a teaching tool for learning ultrasound diagnosis of pediatric forearm fractures.