Emergency Medical Services Resources Research Articles

Ambulance Transports from NCAA Division 1 Football Games.

There is significant public health interest towards providing medical care at mass-gathering events. Furthermore, mass gatherings have the potential to have a detrimental impact on the availability of already-limited municipal Emergency Medical Services (EMS) resources. This study presents a cross-sectional descriptive analysis to report broad trends regarding patients who were transported from National Collegiate Athletic Association (NCAA) Division 1 collegiate football games at a major public university in order to better inform emergency preparedness and resource planning for mass gatherings. Patient care reports (PCRs) from ambulance transports originating from varsity collegiate football games at the University of Minnesota across six years were examined. Pertinent information was abstracted from each PCR. Across the six years of data, there were a total of 73 patient transports originating from NCAA collegiate football games: 45.2% (n = 33) were male, and the median age was 22 years. Alcohol-related chief complaints were involved in 50.7% (n = 37) of transports. In total, 31.5% of patients had an initial Glasgow Coma Scale (GCS) of less than 15. The majority (65.8%; n = 48; 0.11 per 10,000 attendees) were transported by Basic Life Support (BLS) ambulances. The remaining patients (34.2%; n = 25; 0.06 per 10,000 attendees) were transported by Advanced Life Support (ALS) ambulances and were more likely to be older, have abnormal vital signs, and have a lower GCS. This analysis of ambulance transports from NCAA Division 1 collegiate football games emphasizes the prevalence of alcohol-related chief complaints, but also underscores the likelihood of more life-threatening conditions at mass gatherings. These results and additional research will help inform emergency preparedness at mass-gathering events.

Video livestreaming from medical emergency callers’ smartphones to emergency medical dispatch centres: a scoping review of current uses, opportunities, and challenges

BackgroundTimely dispatch of appropriate emergency medical services (EMS) resources to the scene of medical incidents, and/or provision of treatment at the scene by bystanders and medical emergency lay callers (referred to as ‘callers’ in this review) can improve patient outcomes. Currently, in dispatch systems worldwide, prioritisation of dispatch relies mostly on verbal telephone information from callers, but advances in mobile phone technology provide means for sharing video footage. This scoping review aimed to map and identify current uses, opportunities, and challenges for using video livestreaming from callers’ smartphones to emergency medical dispatch centres.MethodsA scoping review of relevant published literature between 2007 and 2023 in the English language, searched within MEDLINE; CINAHL and PsycINFO, was descriptively synthesised, adhering to the PRISMA extension for scoping reviews.ResultsTwenty-four articles remained from the initial search of 1,565 articles. Most studies were simulation-based and focused on emergency medical dispatchers’ (referred to as ‘dispatcher/s’ in this review) assisted video cardiopulmonary resuscitation (CPR), predominantly concerned with measuring how video impacts CPR performance. Nine studies were based on real-life practice. Few studies specifically explored experiences of dispatchers or callers. Only three articles explored the impact that using video had on the dispatch of resources. Opportunities offered by video livestreaming included it being: perceived to be useful; easy to use; reassuring for both dispatchers and callers; and informing dispatcher decision-making. Challenges included the potential emotional impact for dispatchers and callers. There were also concerns about potential misuse of video, although there was no evidence that this was occurring. Evidence suggests a need for appropriate training of dispatchers and video-specific dispatch protocols.ConclusionResearch is sparse in the context of video livestreaming. Few studies have focussed on the use of video livestreaming outside CPR provision, such as for trauma incidents, which are by their nature time-critical where visual information may offer significant benefit. Further investigation into acceptability and experience of the use of video livestreaming is warranted, to understand the potential psychological impact on dispatchers and callers.

Epidemiology of prehospital emergency calls according to patient transport decision in a middle eastern emergency care environment: Retrospective cohort-based.

Though emergency medical services (EMS) respond to all types of emergency calls, they do not always result in the patient being transported to the hospital. This study aimed to explore the determinants influencing emergency call-response-based conveyance decisions in a Middle Eastern ambulance service. This retrospective quantitative analysis of 93,712 emergency calls to the Hamad Medical Corporation Ambulance Service (HMCAS) between January 1 and May 31, 2023, obtained from the HMCAS electronic system, was analyzed to determine pertinent variables. Sociodemographic, emergency dispatch-related, clinical, and miscellaneous predictors were analyzed. Descriptive, bivariate, ridge logistic regression, and combination analyses were evaluated. 23.95% (N = 21,194) and 76.05% (N = 67,285) resulted in patient nontransport and transportation, respectively. Sociodemographic analysis revealed that males predominantly activated EMS resources, and 60% of males (n = 12,687) were not transported, whilst 65% of females (n = 44,053) were transported. South Asians represented a significant proportion of the transported patients (36%, n = 24,007). "Home" emerged as the primary emergency location (56%, n = 37,725). Bivariate analysis revealed significant associations across several variables, though multicollinearity was identified as a challenge. Ridge regression analysis underscored the role of certain predictors, such as missing provisional diagnoses, in transportation decisions. The upset plot shows that hypertension and diabetes mellitus were the most common combinations in both groups. This study highlights the nuanced complexities governing conveyance decisions. By unveiling patterns such as male predominance, which reflects Qatar's expatriate population, and specific temporal EMS activity peaks, this study accentuates the importance of holistic patient assessment that transcends medical histories.

Assessing Provider Understanding of Interfacility Emergency Medical Services Transport

Background: Interfacility transfer between hospitals is an integral component of regional healthcare systems. The decisions referring providers make regarding emergency medical services (EMS) level of care and transport modality (ground versus air) can dramatically impact patient care, emergency departments' workflow, hospital length of stay, and EMS resource availability. Limited research has been done to assess understanding of interfacility transport by emergency medicine providers. 
 Methods: We developed six patient scenarios to test knowledge of level of care and mode of interfacility transfer. Seven board-certified EMS physicians determined the optimal answer to each patient scenario. We distributed a survey with the scenarios to regional healthcare partners via a database of persons who utilize or interface with interfacility transport services. We collected answers to the patient scenarios and provider characteristics (primary practice site, sex, age, specialty, years since graducation, provider degree, EMS training received). Descriptive statistics were performed and Fisher's exact tests described differences in correct answers as they varied by specialty (emergency medicine or other specialty), provider type (physician or advanced practice provider), and reported training in EMS level of care. 
 Results: Seventy-six emergency medicine providers responded, including 68 physicians and 8 advanced practice providers. The mean total score on the case scenarios was 66%, with scores ranging from 33% to 100%. The mean scores on questions testing level of care and transport modality were 67% and 70%, respectively. No significant difference was found in test scores between emergency medicine and other specialties (p=0.718) or provider level of training (p=0.799). Training in EMS level of care was correlated with higher scores on the transport modality questions (p=0.003) but not on the level of care questions (p=0.231).
 Conclusion: Variability exists in the knowledge of providers on interfacility transport throughout the state. Emergency medicine providers could benefit from education on interfacility transfer resources.

Association of Geographic Distance and Hospital Characteristics With Use of Interhospital Transfer by Air: A Multicenter Retrospective Study

ObjectiveInterhospital transfer by air (IHTA) represents the majority of helicopter air ambulance transports in the United States, but the evaluation of what factors are associated with utilization has been limited. We aimed to assess the association of geographic distance and hospital characteristics (including patient volume) with the use of IHTA. MethodsThis was a multicenter, retrospective study of helicopter flight request data from 2018 provided by a convenience sample of 4 critical care transport medicine programs in 3 US census regions. Nonfederal referring hospitals located in the home state of the associated critical care transport medicine program and within 100 miles of the primary receiving facility in the region were included if complete data were available. We fit a Poisson principal component regression model incorporating geographic distance, the number of emergency department visits, the number of hospital discharges, case mix index, the number of intensive care unit beds, and the number of general beds and tested the association of the variables with helicopter emergency medical services utilization. ResultsA total of 106 referring hospitals were analyzed, 21 of which were hospitals identified as having a consistent request pattern. Using the hospitals with a consistent referral pattern, geographic distance had a significant positive association with flight request volume. Other variables, including emergency department visit volume, were not associated. Overall, the included variables offered poor explanatory power for the observed variation between referring facilities in the use of IHTA (r2 = 0.09). Predicted flights based on the principal component regression model for all referring hospitals suggested the majority of referring hospitals used multiple flight programs. ConclusionGeographic distance is associated with the use of IHTA. Unexpectedly, most basic hospital characteristics are not associated with the use of IHTA, and the degree of variation between referring facilities that is explained by patient volume is limited. The evaluation of nonhospital factors, such as the density and availability of critical care or advanced life support ground emergency medical services resources, is needed.

Effects of 24/7 palliative care consultation availability on the use of emergency department and emergency medical services resources from non-oncological patients: a before-and-after observational cohort study

ObjectivesThe non-oncological population is relatively under-represented among end-of-life (EOL) patients managed by palliative care (PC) services, and the effects of different PC delivery models are understudied in this population.This retrospective...

Abstract 426: The Rural Experience of Cardiac Arrest in Maine: Geography, EMS Access, and Social Determinants of Health

Introduction: Resuscitation resources and outcomes differ between rural and urban areas, largely due to patient risk factors and limited emergency medical service (EMS) resources. The current definitions of rural areas are inconsistent and do not encompass all the factors that may affect post-resuscitation care, such as healthcare access, and social determinants of health (SDOH). Hypothesis: In addition to rurality category, measures of healthcare access and SDOH further explain variability in cardiac arrest outcomes across the state of Maine. Goals: Evaluate the difference in model performance in determining survival at three months, using EMS-data, measures of geographic rurality, healthcare access, and SDOH. Approach: We utilized Maine EMS & Fire Information Systems to identify non-traumatic out-of-hospital cardiac arrests in Maine from 2018-2021. We merged this data with state Center for Disease Control data to determine 30-day survival. Risk adjusted models were developed and measures of healthcare access and SDOH were added for all patients and for a cohort of patients who were transported to an Emergency Department (ED). We measured model performance and compared models using likelihood ratio tests. Results: Inclusion criteria was met in 4,277 patients and 1,167 (27%) patients were transported to an ED. After risk adjustment, the best performing model included Rural Urban Commuting Area (p=0.083), time from arrest to highest level of EMS provider (p<0.001) and Area Deprivation Index (p=0.01). For patients transported to EDs, the best performing model included population per square mile (p=0.001), time from arrest to highest level of EMS provider (p=0.041) and census tract with high school education or greater (p<0.001). In both cohorts, the model with all three factors and other risk adjustment was superior to the baseline and models with any individual factor (likelihood ratio test p<0.05). Conclusions: The addition of rurality measures to cardiac arrest characteristics improves model association with good outcome and the addition of markers of EMS response and SDOH explained additional variability. These factors should be considered in combination when evaluating outcome disparities among patients with cardiac arrest.

Impact of patient, system, and environmental factors on utilization of air medical transport after trauma.

Air medical transport (AMT) improves outcomes for severely injured patients. The decision to fly patients is complex and must consider multiple factors. Our objective was to evaluate the interaction between geography, patient and environmental factors, and emergency medical services (EMS) system resources on AMT after trauma. We hypothesize that significant geographic variation in AMT utilization will be associated with varying levels of patient, environmental, and EMS resources. Patients transported by EMS in the Pennsylvania state trauma registry 2000 to 2017 were included. We used our previously developed Air Medical Prehospital Triage (AMPT; ≥2 points triage to AMT) score and Geographic Emergency Medical Services Index (GEMSI; higher indicates more system resources) as measures for patient factors and EMS resources, respectively. A mixed-effects logistic regression model determined the association of AMT utilization with patient, system, and environmental variables. There were 195,354 patients included. Fifty-five percent of variation in AMT utilization was attributed to geographic differences. Triage to AMT by the AMPT score was associated with nearly twice the odds of AMT utilization (adjusted odds ratio, 1.894; 95% confidence interval, 1.765-2.032; p < 0.001). Each 1-point increase in GEMSI was associated with a 6.1% reduction in odds of AMT (0.939; 0.922-0.957; p < 0.001). Younger age, rural location, and more severe injuries were also associated with increased odds of AMT ( p < 0.05). When categorized by GEMSI level, the AMPT score and patient factors were more important for predicting AMT utilization in the middle tercile (moderate EMS resources) compared with the lower (low EMS resources) and higher tercile (high EMS resources). Weather, season, time-of-day, and traffic were all associated with AMT utilization ( p < 0.05). Patient, system, and environmental factors are associated with AMT utilization, which varies geographically and by EMS/trauma system resource availability. A more comprehensive approach to AMT triage could reduce variation and allow more tailored efforts toward optimizing resource allocation and outcomes. Prognostic and Epidemiological; Level III.

Physical restraint use in children with mental and behavioral health emergencies in the prehospital setting.

Emergency medical services (EMS) transport for mental and behavioral health (MBH) emergencies occurs frequently in children, yet little is understood regarding prehospital physical restraint use despite the potential for serious adverse events. We aim to describe restraint use prevalence and primary impressions among children with MBH emergencies. This is a retrospective cross-sectional study of children with MBH emergencies evaluated by Alameda County (ALCO), California EMS from January 1, 2012 to December 31, 2018. Patient demographics and clinical variables were collected from the EMS records including sex, age at time of encounter, year of encounter, transport destination, medication use, and primary impression(s). The primary outcome was the use of physical restraints. Descriptive statistics were used to characterize the primary outcome and associated demographic and diagnostic features, as well as temporal use patterns. Sex and age were compared between restrained and non-restrained youth using chi-square analysis. Over the 7-year study period, ALCO EMS transported 9775 children with MBH emergencies. Of these transports, 1205 (12.3%) were physically restrained. Most children restrained had the primary impression of "behavioral/psychiatric crisis" (51.1%), "psychiatric crisis" (27.4%), and "behavioral-other" (12.4%) and the remaining children (9.1%) had a non-psychiatric/behavioral health primary impression. Over time, there was no statistically significant change in either number of children with MBH emergencies transported or physical restraint rate. More than 1 in 8 children with MBH emergencies are being physically restrained during EMS transport. Restraint rate did not substantially change over time. Further studies to understand existing restraint rates and EMS resources available to address acute agitation in children are needed to inform quality and care enhancing initiatives.

An Analytical Approach for Dispatch Operations of Emergency Medical Services: A Case Study of COVID-19

Emergency medical services (EMS) aims to deliver timely ambulatory care to incidents in communities. However, the operations of EMS may contend with suddenly increasing demands resulting from unexpected disasters such as disease outbreaks (e.g., COVID-19) or hurricanes. To this end, it usually requires better strategical decisions to dispatch, allocate, and reallocate EMS resources to meet the demand changes over time in terms of demographic and geographic distribution of incidents. In this study, we focus on the operation of the EMS resources (i.e., ambulance dispatch) in response to a demand disruption amid the COVID-19 pandemic. Specifically, we present a analytical framework to (1) analyze the underlying demographic and geographic patterns of emergency incidents and EMS resources; (2) develop a mathematical programming model to identify potential demand gaps of EMS coverage across different districts; and (3) provide a remedial reallocation solution to the EMS system with the existing ambulance capacity. The proposed method is validated with emergency response incident data in New York City for the first COVID-19 surge from March to April 2020. We found that it takes a long incident response time to scenes which reflects unexpected incident demands during COVID-19 surge. To cover such disruptive demands, ambulances need to be reallocated between service districts while meeting the response time standard. The proposed framework can be potentially applied to similar disruptive scenarios in the future and other operational systems disrupted by other disasters.HighlightsWe propose an analytical framework using optimization modeling and simulation techniques for EMS resource allocation in response to a demand disruption amid the COVID-19 pandemic.We propose mathematical programming models to identify potential demand gaps of EMS coverage across different districts.We provide a remedial reallocation solution to the EMS system with the existing ambulance capacity.

Utilizing AEMS (Assess-EOP-Map-Simulate) Algorithm to Assess and Spatially Link Prehospital Emergency Medical Services Resources in Road-Traffic Mass Casualty Incidents in Kumasi, Ghana

Introduction:Due to the high number of road traffic accidents with acute injuries and fatalities–particularly in Mass Casualty Incidents (MCI) in low-resource urban sub-Saharan African cities–research was undertaken to create an evidence-based algorithm that could be used to assess and geospatially link EMS needs in Kumasi, Ghana, to trauma resources. Our examination showed that non-MCI fatalities was approximately 2.5%, however, MCI fatalities were found to be 1.8 times higher–at 4.3%, indicating significant opportunities in the planning, preparedness, care, and transport among MCI patient management.Therefore, several studies (funded through Fulbright-Fogarty and Fulbright Specialist programs), supported the development of the A-E-M-S (Assess-EOP-Map-Simulate) Medical Mass Casualty Algorithm that began networking accident ‘hotspots’ to existing trauma-level capabilities and surge capacity competencies in eight specified Kumasi hospitals. This low-cost response model promises to be an innovative alternative to long-term infrastructure development and high-priced resource distributions. Use of GIS and UAV drones allowed response systems to geospatially locate, classify, shift, and/or augment resources as needed in conjunction with hotspots.Method:Sample sizes were averaged at 295 for all patients' ages, with only a sample size of 292 for adults at 95% confidence intervals, and a standard deviation of 0.5. A total of 300 road-traffic accident victims were collected at KATH A&amp;E in February-May, 2017, utilizing handheld devices by four researchers 24/7 daily.Results:Our examination showed that non-MCI fatalities were approximately 2.5%, however, MCI fatalities were found to be 1.8 times higher–at 4.3%, indicating significant opportunities in the planning, preparedness, care, and transport among MCI patient management.Conclusion:To date–and in partnership with Kwame Nkrumah University of Science and Technology, Komfo Anokye Teaching Hospital, Ghana Medical Council, Health Services, National Disaster Management Organization, and others–over 306 Ghanaian healthcare providers from 80 different facilities have been trained in the AEMS program.

Delayed care for STEMI and embolic stroke patients

Objective: The study sought to determine if the arrival of patients experiencing ST-segment elevation myocardial infarction (STEMI) or cerebrovascular accident to the emergency department (ED) was delayed due to fear of COVID-19, among other factors. Both these disease processes are time-dependent, and great efforts have been made to intervene in this pathology quickly to help improve patient-centered outcomes. Methods: A retrospective, case-control study was conducted using data from patient records from March to June 2019 and March to June 2020 from Spring Valley Hospital in Las Vegas, Nevada, USA. Chi-square analyses were performed to determine whether times to presentation for STEMIs and embolic strokes differed between 2019 and 2020 and between March and June using the times to present during the months following the U.S. COVID-19 emergency declaration on March 13th, 2020 (March, April, May, and June). The 432 STEMI and 183 stroke activations were reported during these months. Results: The results displayed an increase in presentation time for STEMI complaints (χ2 [3, N = 2289] = 109.8, p &lt; 0.01) and for stroke complaints (χ2 [3, N = 1011] = 182.8, p &lt; 0.01). The increase in times to presentation for STEMI and embolic stroke patients in the months following the emergency declaration compared to the year prior suggests that patients delayed presentation to the ED. Conclusion: During the pandemic, there was an increase in time to seek treatment for STEMI and embolic stroke patients from the onset of symptoms to their arrival at the ED. This was likely due to patients’ hesitancy to seek treatment due to fear of contracting COVID-19, scarce emergency medical services (EMS) resources, and the flux of new hospital-based virus screening. Data from stroke patients was more heterogenous, likely due to both patients and observers being able to activate the EMS system. These findings may support changes to future public health pandemic guidelines and health education.

Simulation optimization for stochastic casualty collection point location and resource allocation problem in a mass casualty incident

After a severe disaster strikes, a large number of casualties in need of urgent treatment, known as a mass casualty incident (MCI) event, arise from multiple disaster areas in a very short period of time and overwhelm available resources of the local healthcare system. This paper focuses on the effective design of casualty collection point (CCP) locations and the efficient allocation of limited emergency medical service (EMS) resources to transport casualties quickly to appropriate hospitals and increase the survival rate of casualties. A hybrid simulation–optimization approach to optimize the CCP location and EMS resource allocation problem over mixed binary and integer feasible domains for the minimization of expected complete delivery time of all casualties from disaster region to hospitals is presented in this work due to the stochastic and dynamic nature of the MCI logistics environment. A high-resolution stochastic discrete event simulation model considering time-varying stochastic casualty arrivals, random triage service times, and stochastic travel times caused by road network vulnerability is first constructed to describe a more detailed modeling of comprehensive MCI humanitarian logistics from the disaster regions to the hospitals. Then, a novel two-stage sequential algorithm, namely a combination of optimal computing budget allocation-based rapid-screening algorithm and adaptive particle global and hyperbox local search (ORSA-APGHLS), is developed to speed up convergence to near-optimal solutions compared to three common existing algorithms (Genetic Algorithm, Tabu Search and Stochastic Nelder-Mead Algorithm) under a limited simulation budget. We collaborate with the National Science and Technology Center for Disaster Reduction (NCDR) in Taiwan to conduct computational experiments to demonstrate the efficiency and efficacy of the proposed two-stage ORSA-APGHLS algorithm according to a potential earthquake scenario occurring in Tainan City, Taiwan. Through sensitivity analysis, the influence of different levels of scarce emergency medical resources and degrees of road damage on the expected complete delivery time of all casualties and the location-allocation decisions are investigated.

Spatial accessibility of emergency medical services in Chongqing, Southwest China.

Timely access to emergency medical services (EMS) can significantly reduce mortality. In China, the evidence of the accessibility of complete EMS which considers two related trips and involves large rural areas is insufficient. This study aimed to explore the accessibility of ambulance services and complete EMS in Chongqing and its regional differences, and to provide a reference for improving spatial accessibility of EMS in Chongqing and optimizing allocation of EMS resources. The nearest neighbor method was used to measure spatial accessibility of ambulance services and complete EMS. Spatial aggregation patterns and influencing factors of spatial accessibility of complete EMS were analyzed using Moran's I index, Pearson correlation and multiple linear regression. The medians of shortest travel time for ambulance, monitoring ambulance, primary EMS and advanced EMS in Chongqing were 7.0, 18.6, 36.2, and 47.8 min. The shortest travel time for complete EMS showed significant spatial aggregation characteristics. The Low-Low types that referred to cluster of short EMS travel time mainly distributed in city proper. The High-High types that referred to cluster of long EMS travel time mainly distributed in northeast and southeast of Chongqing. Urbanization rate was a negative influencing factor on shortest travel time for primary EMS, while average elevation and the number of settlements were positive influencing factors. GDP per capita and urbanization rate were negative influencing factors on shortest travel time for advanced EMS, while the number of settlements was a positive influencing factor. This study evaluated the accessibility of EMS which considers two related trips in Chongqing. Although the accessibility of ambulances in Chongqing was relatively high, the accessibility of monitoring ambulance was relatively low. Regional and urban-rural differences in the accessibility of complete EMS integrating two related trips were obvious. It was recommended to increase financial investment in economic backward areas, increase high-quality EMS resources, enhance EMS capacity of central township health centers, strengthen road construction in mountainous areas, and provide reasonable planning of rural settlements for improving the spatial accessibility of EMS, narrowing the urban-rural gap and improving equity in getting EMS for all the people.

Educational perspectives in emergency paramedicine : Interdisciplinary discourse on education, professional practice, and challenges in the field of emergency medical services

Societal developments that result in an increase in geriatric, psychosocial, and subacute (i.e. not time-critical) emergencies are changing the demands on emergency care and posing challenges to the system of emergency care and emergency medical services (EMS). The training of emergency paramedics (NotSan) lays the foundation for finding aqualified systemic response to evolving patient needs and requirements. By extending and strengthening their competencies, NotSan are to be understood as basic emergency care providers. Their training should therefore be further developed in terms of evidence-based and patient-centered care in order to increase their competency to act and to achieve demand-oriented holistic (outpatient) care. New EMS resources such as community paramedics (GNFS) and telemedical support systems offer opportunities to strengthen competencies in patient care. The guiding principles of care should be patient safety and patient centeredness. In addition to increasing the basic competencies and equipment of existing EMS resources as well as continuous training opportunities, innovative cross-sectoral and cross-professional care concepts are necessary and must be supported.

The Impact of the Coronavirus Disease 2019 (Covid-19) Pandemic on the Use of Emergency Medical Services System in Bangkok, Thailand.

BackgroundCoronavirus disease 2019 (COVID-19) has widely affected the global public health system, especially the emergency medical service (EMS), which has been the first responders since 2020. However, this pandemic persists with still limited studies on its impact on EMS. This study aimed to compare the number of EMS patients and the operation periods of Bangkok EMS in Thailand between 2020 (severe COVID-19 pandemic) and 2019 (prepandemic).Patients and MethodsWe retrospectively analyzed data of patients with severe COVID-19 were collected from the emergency medical information system of Bangkok EMS center. Data were compared between the two periods. The COVID-19 pandemic period (study period) spanned from January 01, 2020 to December 31, 2020, whereas the control period referred to the same period in the previous year (January 01, 2019 to December 31, 2019).ResultsA total of 178,594 patients were serviced by EMS, with 93,288 during the study period and 85,306 during the control period. The study period had more EMS patients overall by 9.36% (95% confidence interval [CI]: 9.16–9.55) and significantly more EMS patients per day, with a mean difference of 21.19 (254.90 ± 25.55 vs 233.71 ± 23.49; 95% CI: 17.63–24.76, p < 0.001), than the control period. Furthermore, all EMS operation periods studied were significantly longer during the study period.ConclusionDuring COVID-19 pandemic period, a significantly increased number of EMS patients compared to one during non-COVID-19 pandemic period for both traumatic and non-traumatic patients, as well as remarkably increased every EMS operation period of both groups during COVID-19 pandemic period were found in the present study. From this knowledge, provision of necessary EMS resources and preparation of emergency staff to be ready for management of future pandemics should be obtained to reduce EMS operation period in the future pandemics.

Sudden cardiac arrest in commercial airports: Incidence, responses, and implications

Billions of travelers pass through airports around the world every year. Airports are a relatively common location for sudden cardiac arrest when compared with other public venues. An increased incidence of cardiac arrest in airports may be due to the large volume of movement, the stress of travel, or adverse effects related to the physiological environment of airplanes. Having said that, airports are associated with extremely high rates of witnessed arrests, bystander interventions (eg. CPR and AED use), shockable arrest rhythms, and survival to hospital discharge. Large numbers of people, a high density of public-access AEDs, and on-site emergency medical services (EMS) resources are probably the major reasons why cardiac arrest outcomes are so favorable at airports. The success of the chain of survival found at airports may imply that applying similar practices to other public venues will translate to improvements in cardiac arrest survival. Airports might, therefore, be one model of cardiac arrest preparedness that other public areas should emulate.

Hospital admission profile related to poisoning by, adverse effect of and underdosing of psychotropic drugs in England and Wales: An ecological study

BackgroundDrug poisoning is considered as one of the main principal reasons for acute care hospitals admissions, and it places a significant burden on emergency medical services resources. The aim of this study is to examine the trend of hospital admission due to poisoning by psychotropic drugs and prescriptions of psychotropic medications in England and Wales in the past 21 years. MethodHospital admission data from the Hospital Episode Statistics database in England and the Patient Episode Database in Wales were used in this ecological study. For the period from April 1999 to March 2020, hospital admissions data relating to poisoning by, classified by adverse effects of, and underdosing of psychiatric medications were extracted. Data on CNS drug prescriptions was collected for the time period 2004–2020. ResultsDuring the study period, hospital admission rate increased by19.9% [from 39.94 (95% CI 39.40–40.48) in 1999 to 47.90 (95% CI 47.34–48.45) in 2020 per 100,000 persons, trend test, p < 0.05]. The most common reason of poisoning by psychotropic drugs that lead to hospital admissions was unspecified poisoning by antidepressants (accidental (unintentional), intentional self-harm, assault, as adverse effect, and under-dosing), which accounted for 48.9% of the total number of admissions. CNS medications prescription rates increased by 56.4% [from 247629.78 (95% CI 247593.18–247666.39) in 2004 to 387372.48 (95% CI 387333.41–387411.55) in 2020 prescriptions per 100,000 persons, trend test, p < 0.001]. The most commonly prescribed CNS medications prescriptions were analgesics, antidepressant, antiepileptic, and hypnotics and anxiolytics, which accounted for: 35.0%, 28.7%, 10.0%, and 9.5%, respectively. During the study.period between 2004 and 2020, the overall medications prescribing rate showed to be very strongly and positively correlating the hospital admissions rate with the overall poisoning by psychotropic drugs (r = 0.799; p ≤ 0.001). ConclusionOver the last two decades, there has been a parallel increase in the hospitalization rate for psychotropic drug poisoning and the prescription rate for CNS medications. Future research should focus on identifying high-risk populations who are more prone to psychotropic drug poisoning.

Redirecting emergency medical services patients with unmet primary care needs: the perspective of paramedics on feasibility and acceptance of an alternative care path in a qualitative investigation from Berlin, Germany

BackgroundAgainst the backdrop of emergency department (ED) overcrowding, patients’ potential redirection to outpatient care structures is a subject of current political debate in Germany. It was suggested in this context that suitable lower-urgency cases could be transported directly to primary care practices by emergency medical services (EMS), thus bypassing the ED. However, practicality is discussed controversially. This qualitative study aimed to capture the perspective of EMS personnel on potential patient redirection concepts.MethodsWe conducted qualitative, semi-structured phone interviews with 24 paramedics. Interviews were concluded after attainment of thematic saturation. Interviews were transcribed verbatim, and qualitative content analysis was performed.ResultsTechnical and organizational feasibility of patients’ redirection was predominantly seen as limited (theme: “feasible, but only under certain conditions”) or even impossible (theme: “actually not feasible”), based on a wide spectrum of potential barriers. Prominently voiced reasons were restrictions in personnel resources in both EMS and ambulatory care, as well as concerns for patient safety ascribed to a restricted diagnostic scope. Concerning logistics, alternative transport options were assessed as preferable. Regarding acceptance by stakeholders, the potential for releasing ED caseload was described as a factor potentially promoting adoption, while doubt was raised regarding acceptance by EMS personnel, as their workload was expected to conversely increase. Paramedics predominantly did not consider transporting lower-urgency cases as their responsibility, or even as necessary. Participants were markedly concerned of EMS being misused for taxi services in this context and worried about negative impact for critically ill patients, as to vehicles and personnel being potentially tied up in unnecessary transports. As to acceptance on the patients’ side, interview participants surmised a potential openness to redirection if this would be associated with benefits like shorter wait times and accompanied by proper explanation.ConclusionsInterviews with EMS staff highlighted considerable doubts about the general possibility of a direct redirection to primary care as to considerable logistic challenges in a situation of strained EMS resources, as well as patient safety concerns. Plans for redirection schemes should consider paramedics’ perspective and ensure a provision of EMS with the resources required to function in a changing care environment.

The potential of new prediction models for emergency medical dispatch prioritisation of patients with chest pain: a cohort study

ObjectivesTo develop emergency medical dispatch (EMD) centre prediction models with high sensitivity and satisfying specificity to identify high-priority patients and patients suitable for non-emergency care respectively, when assessing patients with chest pain.MethodsObservational cohort study of 2917 unselected patients with chest pain who contacted an EMD centre in Sweden due to chest pain during 2018. Multivariate logistic regression was applied to develop models predicting low-risk or high-risk condition, that is, occurrence of time-sensitive diagnosis on hospital discharge.ResultsPrediction models were developed for the identification of patients suitable for high- and low-priority dispatch, using 11 and 10 variables respectively. The area under the receiver-operating characteristic curve (AUROC) for the high-risk prediction model was 0.79 and for the low-risk model it was 0.74. When applying the high-risk prediction model, 56% of the EMS missions were given highest priority, compared with 65% with the current standard. When applying the low-risk model, 7% were given the lowest priority compared to 1% for the current standard. The new prediction models outperformed today’s dispatch priority accuracy in terms of sensitivity as well as positive and negative predictive value in both high- and low-risk prediction. The low-risk model predicted almost six times as many patients as having low-risk conditions compared with today’s standard. This was done without increasing the number of high-risk patients wrongly assessed as low-risk.ConclusionsBy introducing prediction models, based on logistic regression analyses, using variables obtained by standard EMD-questions on age, sex, medical history and symptomology, EMD prioritisation can be improved compared with using current criteria index-based ones. This will allow a more efficient emergency medical services resource allocation.