Search Results (306)

Stroke causes approximately 12.2 million new cases and 6.5 million deaths annually, with survivors requiring coordinated care across pre-hospital, acute, rehabilitative, and preventive phases. Mobile health (mHealth) technologies, including smartphone applications, wearable sensors, and tablet-based platforms, have shown clinical potential across these contexts, yet a structured mapping of their distribution across the full stroke care continuum is lacking. We searched PubMed, Scopus, and Web of Science for publications from January 2019 to March 2025. Studies evaluated mHealth interventions in which the mobile platform directly performed diagnostic, therapeutic, or rehabilitative functions in stroke populations. Of 4524 records identified, 17 met the inclusion criteria. Studies originated from eight countries and used heterogeneous designs: five randomized controlled trials, five non-randomized studies, four cohort studies, and three diagnostic accuracy studies. Median sample size was 37 participants (range 10–2249). Evidence concentrated at two poles: six studies addressed acute diagnosis and ten addressed rehabilitation, predominantly in the chronic phase. One study addressed secondary prevention; two targeted early rehabilitation, the period of maximum neuroplasticity after discharge. All seventeen studies covered a single care phase. Smartphone platforms dominated acute contexts; wearable and mixed-modality systems were confined to rehabilitation. The mHealth stroke landscape is fragmented and phase-specific, exhibiting a silo effect in which interventions operate as isolated tools rather than components of an integrated care system. An important gap is the near-absence of research in early rehabilitation. Future priorities include cross-continuum design, expansion into cognitive and secondary prevention domains, and progression toward adequately powered trials. Full article

Background: Syncope in older adults is a frequent and diagnostically challenging presentation in prehospital emergency care, particularly in geographically remote areas with limited access to advanced cardiac services. While many syncopal episodes are benign, some are caused by life-threatening conduction disorders such as complete atrioventricular block (CAVB), which may manifest with seizure-like activity due to severe cerebral hypoperfusion. Case Presentation: We report the case of a 70-year-old man with a history of hypertension, residing in a remote rural area, who experienced a nocturnal tonic–clonic episode followed by recurrent loss of consciousness. Due to difficult ground access, a helicopter emergency medical service (HEMS) team was deployed. On arrival, the patient was hypotensive and severely bradycardic, with recurrent syncopal episodes. Electrocardiography (ECG) confirmed CAVB with a slow escape rhythm. Temporary transvenous pacing was initiated but required progressively higher output, up to approximately 80 mV, with intermittent loss of capture, indicating a high risk of pacing failure and asystole. The patient was transported by helicopter to a tertiary interventional cardiology center, where he experienced additional syncopal episodes before undergoing emergent implantation of a permanent single-chamber ventricular pacemaker (VVI). Permanent pacing resulted in immediate hemodynamic stabilization, and no further syncopal or seizure-like episodes were observed. Conclusions: In geriatric patients presenting with convulsive syncope, cardiac causes such as CAVB must be rapidly identified. Unstable temporary pacing with high capture thresholds represents a life-threatening condition requiring urgent permanent pacemaker implantation. HEMS plays a critical role in ensuring timely access to definitive cardiac care in geographically isolated regions. Full article

Background: Out-of-hospital cardiac arrest is a major cause of mortality, and survival depends heavily on rapid defibrillation. Automated external defibrillators (AEDs) can significantly improve outcomes when used before emergency medical services (EMS) arrive, yet access to and use of these devices remain uneven across communities. This study investigates racial and geographic disparities in AED use during EMS encounters in the United States, evaluating differences across racial groups, geographic settings, cardiac arrest status, and patient acuity, irrespective of whether a bystander or EMS personnel applied the device. Methods: This descriptive study used aggregated data from the National Emergency Medical Services Information System (NEMSIS) Public Release Data Cube to compare AED use across racial, geographic, cardiac arrest, and acuity categories. AED use was defined as any documented application during the EMS encounter. Results: The dataset included 106,246 EMS encounters across six racial and ethnic groups. AEDs were applied in 16,688 encounters (15.7%), with substantial variation across demographic and geographic categories. Asian, American Indian or Alaska Native, and Black or African American patients had the highest rates of AED use, while White patients had the lowest rate despite representing the largest share of encounters. Urban areas accounted for most AED deployments, whereas suburban and frontier regions showed markedly lower use, while rural AED use was similar to urban rates. AED application was strongly associated with cardiac arrest and high patient acuity, yet racial differences persisted even within these clinically severe categories. Conclusions: AED use generally aligns with clinical indicators such as cardiac arrest and critical acuity, but meaningful racial and geographic differences were observed, reflecting descriptive patterns rather than confirmed disparities. These patterns should be interpreted cautiously, as the aggregated nature of the dataset limits the ability to determine whether differences reflect inequities, incident characteristics, or EMS system factors. These findings highlight the need for targeted strategies to expand AED access, improve device placement, and strengthen community readiness in underserved areas. Integrating AED availability into broader EMS planning and community outreach may help reduce inequities and create conditions that support improved survival outcomes. Further research using individual-level data and geospatial methods is needed to clarify the drivers of these observed differences and inform equitable prehospital care policies. Full article

Background: Burnout is a relevant occupational health concern in Emergency Medical Services (EMSs), with potential implications for workforce well-being, occupational health, and the sustainability of prehospital care. Although burnout has been widely studied among healthcare professionals, evidence concerning Emergency Medical Technician (EMT) students remains limited. This exploratory study aimed to estimate high burnout prevalence among EMT students and practising EMT professionals in Madrid, Spain, describe burnout dimensions in both groups, and examine sociodemographic correlates of high burnout status. Methods: A cross-sectional comparative study was conducted between March and June 2024 using a convenience sample of 85 participants: 43 EMT students and 42 practising EMT professionals. Burnout was assessed using validated Spanish versions of the Maslach Burnout Inventory: the MBI-SS for students and the MBI-HSS for professionals. Because these instruments are population-specific and rely on different norms and thresholds, between-group comparisons of raw scores were interpreted as exploratory. Descriptive analyses, between-group comparisons with effect sizes, correlation analyses, and an exploratory binary logistic regression model were performed. Results: High burnout was identified in 22 EMT students (51.2%) and 23 practising EMT professionals (54.8%), with no statistically significant between-group difference detected (p = 0.73; Cramer’s V = 0.04). Between-group comparisons of burnout dimensions showed small effect sizes for Emotional Exhaustion (Cohen’s d = 0.17), Depersonalisation (Cohen’s d = 0.24), and Personal Accomplishment (Cohen’s d = −0.26). Age was positively associated with Emotional Exhaustion (r = 0.29, p = 0.008) and Depersonalisation (r = 0.24, p = 0.028), and negatively associated with Personal Accomplishment (r = −0.26, p = 0.019). In the exploratory adjusted logistic regression model, age was associated with high burnout status (OR = 1.05; 95% CI 1.01–1.10; p = 0.017), whereas group and sex were not significant correlates. Conclusions: High burnout levels were observed in both EMT students and practising EMT professionals in this regional exploratory sample. However, the findings should be interpreted cautiously due to the cross-sectional design, convenience sampling, modest sample size, limited statistical power, and use of population-specific burnout instruments. These results suggest that burnout-related distress may be relevant across the EMT training-to-practice pathway and support the need for larger longitudinal and multicentre studies incorporating occupational, educational, and organisational variables. Full article

Background: Dyspnea is a common reason for emergency medical service (EMS) interventions and is associated with a substantial risk of severe clinical course, complications, and hospital admission. Its differential diagnosis in the prehospital setting remains challenging due to the limited availability of imaging modalities. Point-of-care ultrasound (POCUS), including lung ultrasound (LUS), is a rapid, field-applicable technique recommended in numerous acute respiratory diagnostic scenarios. Objective: To evaluate the use of lung ultrasound in the prehospital setting and its association with the precision of diagnoses related to respiratory failure, the frequency of transport to the emergency department (ED) among patients presenting with dyspnea/respiratory failure, and to characterize the profile of sonographic findings with their correlation to clinical diagnostic categories. Additionally, transport rates in the study population were compared with aggregated regional data for the Masovian Voivodeship (excluding the analyzed county). Methods: A retrospective observational study was conducted on EMS interventions performed between 01 January 2025 and 30 June 2025 in Legionowo County (N = 353). The analysis included ICD-10 codes assigned in prehospital documentation (one primary code and up to two additional codes) in patients presenting with dyspnea and/or respiratory failure, the performance of ultrasound examination, and resulting LUS findings (absence of pleural sliding and/or lung point; B-lines; consolidations; C-lines; pleural effusion). Descriptive analyses, frequency comparison tests (χ²/Fisher), estimation of relative risk (RR) with 95% confidence intervals (CI), and agreement analysis using Cohen’s kappa coefficient (κ) between etiological categories derived from ICD-10 codes and those inferred from LUS profiles were performed (κ with 95% CI estimated using bootstrap resampling). The study was reported in accordance with the STROBE guidelines for observational studies. Additionally, the distribution of ICD-10 coding and the proportion of hospital transports across the entire Masovian Voivodeship were compared with those observed in the analyzed area. Results: Ultrasound examination was performed in 72/353 (20.4%) EMS interventions; transport to the emergency department occurred in 239/353 (67.7%) cases. The most frequent clinical categories based on ICD-10 codes were: general/symptom-based 182/353 (51.6%), inflammatory 77/353 (21.8%), obstructive 66/353 (18.7%), and cardiological 20/353 (5.7%). Among abnormal LUS findings, the most common were B-lines (43/72; 61.4%) and consolidations (29/72; 41.4%). Consolidations were strongly associated with the inflammatory category (OR 9.72; p < 0.001), whereas B-lines were associated with the cardiological category (OR 23.41; p = 0.0011) among cases in which LUS was performed. Ultrasound use was associated with a higher frequency of assigning at least one targeted (non-symptom-based) diagnosis within ICD coding: 53/72 (73.6%) vs. 111/278 (39.9%), RR 1.84 (95% CI 1.51–2.25; p < 0.001). Agreement between the ICD-10 etiological category (inflammatory/cardiological/obstructive/other) and the category inferred from the LUS profile was moderate: κ = 0.36 (95% CI 0.21–0.51), with an observed agreement of 54.2%. Compared with aggregated regional data (Masovian Voivodeship excluding the analyzed county), the overall transport rate for comparable ICD-10 codes was lower in the study unit: 279/409 (68.2%) vs. 11,351/13,785 (82.3%), RR 0.83 (95% CI 0.78–0.89; p < 0.001). The largest differences were observed for dyspnea (R06.0: 72.9% vs. 88.2%; RR 0.83) and obstructive codes (J44/J45/J46 combined: 43.1% vs. 67.0%; RR 0.64). Conclusions: In this retrospective analysis, an EMS unit with systematically implemented ultrasound demonstrated a lower frequency of hospital transport for selected dyspnea/respiratory failure codes compared with regional data and greater precision in ICD-10 diagnostic coding in cases where ultrasound was performed. The profile of LUS findings correlated with clinical categories in a manner consistent with existing literature. Full article

Background/Objectives: Overcrowding in emergency departments (EDs) remains a critical challenge in modern healthcare systems, driven in part by patient uncertainty regarding symptom urgency and a lack of accessible medical guidance. Recent advances in artificial intelligence, particularly large language models (LLMs), present a novel opportunity to support patient navigation and relieve pressure on ED infrastructures. Methods: A total of 238 unique patient questions were identified through a structured web search. Following deduplication and thematic clustering, 15 representative questions were selected. Each question was submitted to the three LLMs—ChatGPT (v3.5), DeepSeek, and Gemini—using a standardized prompt. Responses were assessed by clinical experts (N = 8) who were blinded to the model source. Reviewers selected the best overall response per question, as well as the individual responses of the three LLMs for each respective question. Results: ChatGPT was selected as the best-performing model in 60% of cases, with DeepSeek and Gemini selected in 23% and 17%, respectively. ChatGPT responses also achieved the highest proportion of “excellent” quality ratings and the lowest proportion of “unsatisfactory” outputs. Across all models, clarity was the most positively rated domain (79% agreement), followed by empathy (72%), length/detail appropriateness (71%), and completeness (65%). Over two-thirds of raters expressed willingness to integrate LLM-based tools into clinical practice for patient education and pre-triage counseling. Conclusions: Large language models demonstrate promising capabilities in responding to emergency care-related patient queries. Their ability to deliver medically sound and communicatively effective answers positions them as potential digital adjuncts in the management of low-acuity ED presentations and prehospital triage. Full article

Background: Myocardial ischemia (MI) is a major cause of morbidity and mortality worldwide and requires timely and reliable detection. Although Spin-Exchange Relaxation-Free (SERF) magnetocardiography (MCG) provides femtotesla-level sensitivity for identifying non-linear cardiac repolarization anomalies, its clinical deployment is currently impeded by the computational bottlenecks inherent to portable edge platforms. Methods: We propose a “Sensor-to-Image” Edge-AI framework that links quantum sensing with computer vision. Single-channel SERF-MCG signals from a large cohort of 2118 subjects (1135 Healthy, 983 Ischemia) were transformed into phase-space images using three distinct encoding modalities: Recurrence Plots (RP), Gramian Angular Summation Fields (GASF), and Markov Transition Fields (MTF). These visual representations were subsequently analyzed by a streamlined MobileNetV3-Small architecture, optimized for low-latency inference. To maximize diagnostic precision, an adaptive weighted fusion mechanism was engineered to combine the chaotic specificity captured by RP with the morphological sensitivity of GASF through a validation-optimized fixed global weighting strategy. Results: In our experiments, the fusion model achieved an Area Under the Curve (AUC) of 0.865, which was higher than the 1D-CNN baseline (AUC 0.857) and the single-modality models. Notably, the fusion strategy significantly elevated sensitivity to 88.3% while maintaining a specificity of 66.5%. Although specificity is moderate, this trade-off prioritizes high sensitivity to minimize false negatives in pre-hospital screening scenarios. The average inference time was 4.7 ms per sample on a standard CPU, suggesting suitability for real-time Point-of-Care (PoC) scenarios under further on-device validation. Conclusions: The results suggest that multi-view phase-space fusion can capture subtle spatio-temporal changes associated with ischemia. The proposed lightweight framework may support the development of portable SERF-MCG systems with embedded AI screening. Full article

Background: Pediatric out-of-hospital cardiac arrest (OHCA) is rare and associated with poor outcomes. Evidence from physician-staffed EMS systems remains limited. This study aimed to describe the incidence, presenting rhythms, EMS response intervals, and outcomes of pediatric OHCA, and to describe incidence, presenting rhythms, EMS response intervals, and prehospital outcomes in a local physician-staffed EMS system. Methods: We conducted a retrospective study of all pediatric (0–17 years) OHCA cases managed by the ASL Lecce physician-staffed EMS (southern Italy) between 2013 and 2025. Data were abstracted from standardized records. Variables included demographics, initial rhythm, EMS response intervals, temporal patterns, and return of spontaneous circulation (ROSC). The primary outcome was ROSC during prehospital care. Results: Twenty-seven cases were identified, corresponding to a cumulative incidence of 22.9 per 100,000 children over the study period (annualized incidence 1.73 per 100,000 children-year). Mean age was 11.9 ± 5.5 years (median 15); 59% were male. Initial rhythms were asystole in 81% and ventricular fibrillation (VF) in 19%; no pulseless ventricular tachycardia (pVT) or pulseless electrical activity (PEA) were recorded. Five patients had shockable rhythms, with seven shocks delivered overall. Mean time intervals were: event-to-call 1.0 ± 0.6 min, call-to-arrival 10.3 ± 4.1 min, event-to-arrival 11.3 ± 4.4 min. Arrests clustered during daytime (63%) and summer (41%). ROSC occurred in three patients (11%), two with VF and one with asystole; all arrests with ROSC were daytime events. In descriptive comparisons, ROSC cases showed a shorter call-to-arrival interval (T1–T2), whereas no consistent pattern was observed across all prehospital time intervals. Conclusions: Pediatric OHCA in this Italian physician-staffed EMS was infrequent, usually presented with asystole, and rarely achieved ROSC. Shockable rhythms were associated with better outcomes. Given the small sample size, findings related to response times should be interpreted with caution. System preparedness should include pediatric-specific training, early defibrillation access, and multicenter registries to improve care and track outcomes. Full article

Background: Stroke is a time-critical emergency in which rapid diagnosis and treatment are essential to improve outcomes. While Emergency Medical Services (EMS) facilitate structured prehospital stroke care, a proportion of patients bypass EMS and self-present to emergency departments (EDs), potentially causing treatment delays. This study compares process times and outcomes between EMS-transported and self-presenting stroke patients. Methods: We conducted a retrospective analysis of prospectively collected data from 1805 patients with suspected stroke admitted between May 2019 and June 2021 to two hospitals in Germany. Patients were classified as EMS-transported or self-presenting. Process times included door-to-needle time (DNT), symptom onset to first medical contact (FMC), and intravenous thrombolysis (IVT) rates. Data are presented as mean ± standard deviation or median [interquartile range] for continuous variables and as number (%) for categorical variables. Results: A total of 1940 patients with suspected stroke were included. For the main analysis comparing EMS transport and self-presentation, 1805 patients (1525 EMS, 280 self-presenting) were evaluated. EMS patients were significantly older than self-presenting patients (73.1 ± 15.1 vs. 65.3 ± 14.9 years, p < 0.001). The median time from symptom onset to first medical contact was 114 [95–132] minutes in EMS patients and 727 [420–1440] minutes in self-presenting patients (p < 0.001). IVT was administered in 119/1197 (9.9%) EMS patients and 18/254 (7.1%) self-presenting patients (p = 0.158) among those with documented information on thrombolysis. Door-to-needle time was slightly but significantly longer in self-presenting patients (median 35 [32–54] vs. 30 [28–34] minutes, p < 0.001), while both groups remained well within certification targets. Conclusions: Self-presenting stroke patients experienced markedly longer prehospital delays and lower intravenous thrombolysis rates compared to EMS-transported patients, although the difference in IVT rates was not statistically significant. In-hospital door-to-needle times were comparable between groups. These findings highlight the need for targeted public education to improve stroke symptom recognition and timely EMS activation. Full article

Background/Objectives: Differences between rural and urban settings, as well as between emergency medical service (EMS) systems, may influence short-term mortality among patients attended in the prehospital setting. The aim of this study was to determine the associations of rurality and the US and Spanish EMS health systems with patient mortality. Methods: This was a multicenter, EMS-based, observational study involving a prospective dataset, the Salud de Castilla y Leon dataset (SACYL) from Spain, and a retrospective dataset, the National Emergency Medical Services Information System (NEMSIS) from the US. All consecutive EMS activations of adult patients (≥18 years) requiring high-priority transport to emergency departments were included in the analysis. The collected variables included demographic characteristics, EMS transport characteristics, case characteristics, and rural or urban origin. The primary outcome was 2-day, short-term mortality. Results: A total of 54,981 EMS activations were considered from both datasets. The mortality rate was 8.47% for rural areas and 11.8% for urban areas (p < 0.001). Multivariable analyses showed that mortality patterns differed according to geographic setting and EMS system. Male sex and the use of advanced life support were associated with higher odds of mortality in several models, while prehospital time intervals and call characteristics showed context- and system-dependent associations, including protective effects in specific subgroups. Conclusions: Short-term mortality differed between rural and urban settings, with heterogeneous patterns across EMS systems. These findings highlight the importance of considering both geographic context and system-level organizational characteristics when evaluating prehospital care and mortality outcomes. Full article

Background: Timely prehospital management is critical for survival after traumatic injury. In rapidly growing metropolises, emergency medical service (EMS) systems often struggle to provide equitable care amid urban sprawl and traffic congestion. This study investigated spatiotemporal inequalities in trauma-related EMS response in a rapidly expanding capital city (Astana, Kazakhstan) to inform healthcare optimization and urban health equity. Methods: We analyzed a five-year population-based dataset of 26,073 trauma-related EMS calls recorded between 2020 and 2024. Spatial patterns were examined using Kernel Density Estimation (KDE) and Getis–Ord Gi* hotspot analysis. Road-network modeling assessed accessibility at 3, 5, and 10 min thresholds using a GIS-based network analyst framework. Results: Males accounted for 60.1% of utilization and had higher clinical severity (hospitalization rate: 45.5% vs. 40.3%, p < 0.001). Demand peaked at 20:00, coinciding with peak traffic. The mean total response time was 21.63 min, and only 16.9% of calls met the 10 min benchmark. Significant accessibility gaps were found in the Baikonur district (61.4% delay rate). Conclusions: The findings demonstrate that while the EMS system provides broad geographic coverage, it suffers from systemic spatiotemporal bottlenecks. Targeted infrastructure expansion in underserved peripheral districts and the implementation of dynamic deployment models are necessary to enhance urban health equity and reduce preventable mortality in expanding metropolitan areas. Full article

Background/Objectives: The COVID-19 pandemic substantially changed emergency care utilization patterns, but nationwide evidence comparing age-specific changes in 119 EMS-transported emergency department (ED) visits between children and adults remains limited. Using nationwide data from Korea’s public EMS system, we evaluated pre-COVID-19 and post-COVID-19 changes in 119 EMS-transported ED visits using KTAS-defined emergency acuity, ED disposition, and ED length of stay (ED LOS). Methods: We conducted a nationwide retrospective observational study using the National Emergency Department Information System. We included all 119 EMS-transported ED visits from 1 January 2019 to 31 December 2020 and used 23 February 2020 as the index date. Children were aged <20 years and adults were aged ≥20 years. The primary outcome was KTAS-defined emergency acuity; secondary outcomes were ED disposition and ED LOS. Multivariable logistic regression analyses were performed separately by age group. Results: A total of 2,104,163 119 EMS-transported ED visits were included. The proportion of pediatric visits decreased from 9.3% to 6.8% after COVID-19. Among children, crude emergency acuity decreased, whereas hospital admission and ED mortality increased; after adjustment, the odds of emergency acuity and hospital admission were slightly higher in the post-COVID-19 period. Among adults, emergency acuity, hospital admission, ED mortality, and ED LOS all increased, and adjusted odds of emergency acuity and hospital admission were also higher. Conclusions: Children showed mixed changes across severity-related indicators, whereas adults demonstrated a more consistent post-COVID-19 shift toward a higher-acuity clinical profile. Because these indicators were measured after ED arrival, the findings should be interpreted cautiously. Further studies using linked prehospital and hospital data are needed to better evaluate age-specific changes in EMS use. Full article

Background/Objectives: Damage Control Resuscitation (DCR) is a critical strategy in the management of severe trauma, focusing on the optimisation of the patient’s physiological condition. This study reviews current DCR strategies, emphasizing the mitigation of the “diamond of death”—hypothermia, acidosis, coagulopathy, and hypocalcemia—while addressing complex disturbances like respiratory distress syndrome (ARDS) and (acute kidney injury) AKI in high-ISS (Injury Severity Score) patients. Methods: A systematic review of 59 contemporary sources was conducted, encompassing clinical trials (e.g., CRASH-2), military-to-civilian protocol translations, and guidelines from the C and European Resuscitation Council. The analysis focused on pre-hospital interventions, in-hospital transfusion protocols, and the impact of transport logistics on survival. Results: Evidence highlights that aggressive crystalloid resuscitation (over 5 L) significantly increases mortality, favoring balanced blood component therapy (1:1:1 ratio) or Whole Blood guided by viscoelastic testing like rotational thromboelastometry (ROTEM) or thromboelastography (TEG). Pre-hospital success is driven by rapid hemorrhage control via tourniquets, early administration of Tranexamic Acid (TXA), no aggressive crystalloids, permissive hypotension, proactive calcium supplementation is recommended in early care. Furthermore, the integration of Helicopter Emergency Medical Services (HEMS) is independently associated with improved survival in multi-organ trauma by reducing time to definitive care and facilitating “en-route” damage control. Conclusions: The evolution of rescue strategies focused on mitigating the effects of the diamond of death, combined with the implementation of permissive hypotension and optimized HEMS logistics, constitutes the foundation of a modern model aimed at minimizing mortality in multi-organ trauma. Full article

Background and Objectives: Massive extremity haemorrhage remains the leading cause of preventable death on the battlefield and among trauma victims in civilian settings. Tourniquets are an effective, low-cost tool used to rapidly control bleeding. However, the availability of certified tourniquet models during a full-scale armed conflict can be significantly limited. This favours the emergence of locally manufactured devices. The aim of this study was to compare the effectiveness of the DNIPRO Gen 2 and SICH tourniquets with the CAT Gen 7 and SOFTT W Gen 4 tourniquets recommended by the Committee on Tactical Combat Casualty Care. Materials and Methods: The study included 51 Ukrainian medics experienced in prehospital care. Application speed was measured with a stopwatch, and occlusion success was confirmed by Doppler ultrasound. Pain was measured using the NRS, and participants were also able to provide subjective comments regarding the ergonomics and design of the tourniquets. Results: The four tourniquets tested demonstrated different occlusion success rates in arm and leg application. In upper extremity application, the SICH had the highest success rate (98.0%) and was associated with higher odds of successful application compared with the SOFTT-W Gen 4 (OR 25.14). In lower extremity application, the CAT Gen 7 had the highest rate of success (94.1%) and was 7.5 times more likely to achieve occlusion than the SOFTT-W Gen 4 (OR 7.54). The DNIPRO Gen 2 was rated most painful (Median 6), with significantly lower pain levels reported for the SICH (Median 4), the CAT Gen 7 (Median 5), and the SOFTT-W Gen 4 (Median 4). Conclusions: The DNIPRO Gen 2 and SICH tourniquets demonstrated high occlusion success rates, comparable to the CAT Gen 7 and superior to the SOFTT-W Gen 4. These findings suggest that Ukrainian-manufactured tourniquets may demonstrate comparable performance to CoTCCC-recommended tourniquets in a simulated prehospital setting. Full article

Background/Objectives: Adequate cardiopulmonary resuscitation (CPR), defibrillation, and treatment of reversible causes are essential for improving the survival of patients suffering from out-of-hospital cardiac arrests (OHCAs). The Advanced Life Support (ALS) algorithm includes reversible causes for cardiac arrest. This study aimed to develop an interactive mobile checklist to identify reversible causes of OHCA (REBECCA) and evaluate their usability and usefulness among emergency physicians. Methods: This mixed-methods study was conducted at the Emergency Medical Service Vienna, Austria. All participants were emergency physicians from the Medical University of Vienna. An interactive mobile checklist was developed using a participatory design approach involving a focus group of 10 emergency physicians. Usability and applicability were assessed using structured questionnaires. Descriptive statistics were used to summarize participant characteristics and evaluation outcomes. Results: Among the included participants, 70% were specialists with a median prehospital experience of 2.0 (1.0–4.3) years. Although most participants were confident about their level of professional experience with OHCA, 85% still found the checklist to be helpful. The majority of the participants preferred the digital checklist over the paper-based checklist and appreciated its integration with the point-of-care ultrasound (POCUS) application. Although the participants did not communicate a significant need for further details on most causes, a small majority favored more information on intoxication and electrolyte disorders. Conclusions: The majority of the included emergency physicians found the REBECCA checklist helpful regardless of training level, whereas almost no physician needed further detailed information on the reversible causes. Our findings underscore the potential importance of future investigations aiming to reduce the cognitive load of emergency physicians during OHCA scenarios. Full article