Emergency Medical Services Response Research Articles

EMS Response Time for Patients Critically-Injured from Automobile Accidents Using Regression Analysis

Background: The ability to quickly and effectively receive medical treatment in the event of an automobile collision is one of the most important aspects in emergency medical services (EMS). Emergency medical service providers are the first to respond and manage cases related to trauma, emergency surgery, and critically injured patients. Response time for emergency medical services vehicles is especially important for areas, where travel distances are often much larger, compared to more urban areas. The importance of the present data and analysis procedures are their applicability to multiple environments, including urban settings. Methods: The present study is focused on optimization of analysis tools, and understanding the influences of different traffic-related variables, related to hospital EMS transport times for Pickens County, a county in west Alabama. Optimization of associated analysis tools is important for optimal trauma patient survivability, and as such, is directly relevant to the management of care for severely injured surgical patients. Of particular interest are the effects of variables, such as travel time, time of the day, day of the week, weather, lighting conditions, and crash severity, on the EMS response time (ERT), which are analyzed using two types of advanced regression analysis: geographically weighted regression (GWR) and global regression analysis (GRA). Results: For GWR analysis, the accuracy of the approach is improved by employing an adaptive bi-square kernel weighting function. The GWR approach is also unique because geographic location variations are quantified for local independent variables, as their effects are included. Magnitudes of variable coefficients, and variable t-statistic values provide information on the relative influences and impacts of different variables, and different variable combinations, as they are considered in pairs, triplets, and different combinations. Conclusion: The resulting effects and alterations to optimal EMS response time are provided for a wide range of travel conditions and travel time periods.

Gender-Based Differences in Outcomes Among Resuscitated Patients With Out-of-Hospital Cardiac Arrest.

Studies examining gender-based differences in outcomes of patients experiencing out-of-hospital cardiac arrest have demonstrated that, despite a higher likelihood of return of spontaneous circulation, women do not have higher survival. Patients successfully resuscitated from out-of-hospital cardiac arrest enrolled in the CCC trial (Trial of Continuous or Interrupted Chest Compressions during CPR) were included. Hierarchical multivariable logistic regression models were constructed to evaluate the association between gender and survival after adjustment for age, gender, cardiac arrest rhythm, witnessed status, bystander cardiopulmonary resuscitation, episode location, epinephrine dose, emergency medical services response time, and duration of resuscitation. Do not resuscitate (DNR) and withdrawal of life-sustaining therapy (WLST) order status were used to assess whether differences in postresuscitation outcomes were modified by baseline prognosis. The analysis was replicated among ALPS trial (Amiodarone, Lidocaine, or Placebo in Out-of-Hospital Cardiac Arrest) participants. Among 4875 successfully resuscitated patients, 1825 (37.4%) were women and 3050 (62.6%) were men. Women were older (67.5 versus 65.3 years), received less bystander cardiopulmonary resuscitation (49.1% versus 54.9%), and had a lower proportion of cardiac arrests that were witnessed (55.1% versus 64.5%) or had shockable rhythm (24.3% versus 44.6%, P<0.001 for all). A significantly higher proportion of women received DNR orders (35.7% versus 32.1%, P=0.009) and had WLST (32.8% versus 29.8%, P=0.03). Discharge survival was significantly lower in women (22.5% versus 36.3%, P<0.001; adjusted odds ratio, 0.78 [95% CI, 0.66-0.93]; P=0.005). The association between gender and survival to discharge was modified by DNR and WLST order status such that women had significantly reduced survival to discharge among patients who were not designated DNR (31.3% versus 49.9%, P=0.005; adjusted odds ratio, 0.74 [95% CI, 0.60-0.91]) or did not have WLST (32.3% versus 50.7%, P=0.002; adjusted odds ratio, 0.73 [95% CI, 0.60-0.89]). In contrast, no gender difference in survival was noted among patients receiving a DNR order (6.7% versus 7.4%, P=0.90) or had WLST (2.8% versus 2.4%, P=0.93). Consistent patterns of association between gender and postresuscitation outcomes were observed in the secondary cohort. Among patients resuscitated after experiencing out-of-hospital cardiac arrest, discharge survival was significantly lower in women than in men, especially among patients considered to have a favorable prognosis.

Outcomes of outofhospital cardiac arrest in First Nations and non-First Nations patients in Saskatoon.

One in nine (11.7%) people in Saskatchewan identify as First Nations. It is known that First Nations people have a higher burden of cardiovascular disease, but not whether outcomes of out of hospital cardiac arrest are different. We reviewed pre-hospital and inpatient records of patients with outofhospital cardiac arrest between January 1st, 2015 and December 31st, 2017. The population consisted of patients aged 18years or older with outofhospital cardiac arrest of presumed cardiac origin occurring in the catchment area of Saskatoon's emergency medical services (EMS). Variables of interest included age, gender, First Nations status, EMS response times, bystander cardiopulmonary resuscitation (CPR), and shockable rhythm. Outcomes of interest included return of spontaneous circulation (ROSC), survival to hospital admission, and survival to hospital discharge. In all, 372 patients sustained out of hospital cardiac arrest, of which 27 were status First Nations. There were no differences between First Nations and non-First Nations patients in terms of shockable rhythms (24% vs 26%; p = 0.80), ROSC (42% vs 41%; p = 0.87), survival to hospital admission (27% vs 33%; p = 0.53), and survival to hospital discharge (15% vs 12%; p = 0.54). First Nations patients with out of hospital cardiac arrest were significantly younger (mean age 46 vs. 65years; p < 0.0001) and had shorter EMS response times (median times 5.3 vs. 6.2min; p = 0.01) when compared to non-First Nations patients. In Saskatoon, First Nations patients with out of hospital cardiac arrest appear to have similar survival rates when compared with non-First Nations patients. However, First Nations patients sustaining out of hospital cardiac arrest were significantly younger than their non-First Nations counterparts. This highlights a significant public health issue.

Socioeconomic disparities in Rapid ambulance response for out-of-hospital cardiac arrest in a public emergency medical service system: A nationwide observational study

ObjectivesThis study aimed to examine whether county socioeconomic status (SES) is associated with emergency medical service (EMS) response time and dual dispatch response of out-of-hospital cardiac arrest (OHCA) patients using county property tax per capita in Korea. MethodsAll EMS-treated adults who suffered OHCAs were enrolled between 2015 and 2017, excluding cases witnessed by EMS providers. The main exposure was property tax per capita in the county where the OHCA occurred. The primary outcome was response time interval, with a secondary outcome of dual dispatch response. Negative binomial regression analysis to calculate incidence rate ratio (IRR) with a 95% confidence interval (CI) was conducted for EMS response time. A multivariable logistic regression analysis for response time interval (<8 min) and dual dispatch response was also conducted. ResultsA total of 71,326 patients in 228 counties were enrolled. Compared to the lowest SES quartile, OHCA patients in the highest SES quartile had shorter median (interquartile range [IQR]) response time intervals (9.5 [5.9] minutes vs. 7.6 [4.2] minutes, IRR [95% CI] 0.95 [0.94−0.96], respectively). The AOR (95% CI) for response time within 8 min was 1.07 (1.01−1.13) for the highest SES quartile compared to the lowest SES quartile. Those in the highest SES quartile also had higher rates of dual dispatch response compared to those in the lowest quantile (50.9% vs 26.6%; AOR [95% CI]: 2.16 [2.03−2.30]). ConclusionIn OHCA patients, those in a lower SES are associated with longer response times and lower dual dispatch response.

Impact of temporal changes in the epidemiology and management of traumatic out-of-hospital cardiac arrest on survival outcomes

AimWe aimed to investigate the impact of temporal changes in the epidemiology and management of traumatic out-of-hospital cardiac arrest (OHCA) on emergency medical service (EMS) attempted resuscitations and survival outcomes. MethodsA retrospective observational study of traumatic OHCA cases involving patients aged > 16 years in Victoria, Australia, who arrested between 2001 and 2018. Unadjusted and adjusted logistic regression was performed to assess trends in survival outcomes over the study period. ResultsBetween 2001 and 2018, the EMS attended 5,631 cases of traumatic OHCA, of which 1,237 cases (22.0%) received an attempted resuscitation. EMS response times increased significantly over time (from 7.0 min in 2001–03 to 9.8 min in 2016−18; p trend < 0.001) as did rates of bystander cardiopulmonary resuscitation (CPR) (from 37.8% to 63.6%; p trend < 0.001). Helicopter EMS attendance on scene increased from 7.1% to 12.4% (p trend = 0.01), and transports of patients with return of spontaneous circulation (ROSC) to designated major trauma centres also increased from 36.6% to 82.4% (p trend < 0.001). The frequency of EMS trauma-specific interventions increased over the study period, including needle thoracostomy from 7.7% to 61.6% (p trend < 0.001). Although the risk-adjusted odds of ROSC (OR 1.06, 95% CI: 1.03–1.10) and event survival (OR 1.05, 95% CI: 1.01–1.09) increased year-on-year, there were no temporal changes in survival to hospital discharge. ConclusionDespite higher rates of bystander CPR and EMS trauma interventions, rates of survival following traumatic OHCA did not change over time in our region. More studies are needed to investigate the optimal EMS interventions for improved survival in traumatic OHCA.

Abstract 148: A Machine Learning-based Dispatch Rule for Drone-delivered Defibrillators

Introduction: Drone-delivered defibrillators may reduce response time for out-of-hospital cardiac arrest (OHCA). However, an optimal dispatch rule is not yet known. Methods: We identified all suspected OHCAs in Peel Region, Ontario, Canada from Jan. 2014 to Dec. 2019. We trained a neural network model to predict emergency medical services (EMS) response times using OHCA location, distance from responding ambulance, day of week and time of day. Instead of least-squares loss, our model optimized a loss function that penalized weighted errors in the dispatch decision (type I/II error). Assuming drones were deployed from three bases in the region, we calculated drone response time to each suspected OHCA using real drone specifications. Our dispatch rule dispatched a drone when its calculated response time was shorter than the predicted EMS response time. Response time was calculated as the minimum of the drone and EMS response times. The performance of our dispatch rule was compared on out-of-sample OHCAs using 5-fold cross validation to the baseline cases of (1) no drones, and (2) drone dispatch to every suspected OHCA. Statistical analysis on the median response times was performed using a right-tailed sign test. Results: We identified 4774 suspected OHCAs with a median historical EMS response time of 6.0 minutes. Using our dispatch rule, median response time was significantly shorter at 3.9 minutes (P&lt;0.001). Drones were dispatched to 3803 cases (79.7%) and of those, drone response was faster than EMS in 3076 cases (80.9%). When the drone was not dispatched, it would have been slower than EMS in 856 cases (88.1%). Sending a drone to every suspected OHCA resulted in an identical median response time of 3.9 minutes (P&lt;0.001), with drones arriving before EMS in 3191 cases (66.8%). Conclusion: A machine learning-based dispatch rule can achieve similar response times as a policy that dispatches a drone to all suspected OHCAs, while dispatching drones less frequently.

Improving bystander defibrillation in out-of-hospital cardiac arrests at home.

Most out-of-hospital cardiac arrests occur at home with dismal bystander defibrillation rates. We investigated automated external defibrillator coverage of home arrests, and the proportion potentially reachable with an automated external defibrillator before emergency medical service arrival according to different bystander activation strategies. Cardiac arrests in homes (private/nursing/senior homes) in Copenhagen, Denmark (2008-2016) and registered automated external defibrillators (2007-2016), were identified. Automated external defibrillator coverage (distance from arrest to automated external defibrillator) and accessibility at the time of arrest were examined according to route distance to nearest automated external defibrillator and emergency medical service response time. The proportion of arrests reachable with an automated external defibrillator by bystander was calculated using two-way (from patient to automated external defibrillator and back) and one-way (from automated external defibrillator to patient) potential activation strategies. Of 1879 home arrests, automated external defibrillator coverage ≤100 m was low (6.3%) and a two-way bystander could potentially only retrieve an accessible automated external defibrillator before emergency medical service in 31.1% (n=37) of cases. If a bystander only needed to travel one-way to bring an automated external defibrillator (≤100 m, ≤250 m and ≤500 m), 45.4% (n=54/119), 37.1% (n=196/529) and 29.8% (n=350/1174) could potentially be reached before the emergency medical service based on current automated external defibrillator accessibility. Few home arrests were reachable with an automated external defibrillator before emergency medical service if bystanders needed to travel from patient to automated external defibrillator and back. However, nearly one-third of arrests ≤500 m of an automated external defibrillator could be reached before emergency medical service arrival if the bystander only needed to travel one-way from the automated external defibrillator to the patient.

Validation of the NUE Rule to Predict Futile Resuscitation of Out-of-Hospital Cardiac Arrest

Aim We validated the NUE rule, using three criteria (Non-shockable initial rhythm, Unwitnessed arrest, Eighty years or older) to predict futile resuscitation of patients with out-of-hospital cardiac arrest (OHCA). Methods We performed a retrospective cohort analysis of all recorded OHCA in Marion County, Indiana, from January 1, 2014 to December 31, 2019. We described patient, arrest, and emergency medical services (EMS) response characteristics, and assessed the performance of the NUE rule in identifying patients unlikely to survive to hospital discharge. Results From 2014 to 2019, EMS responded to 4370 patients who sustained OHCA. We excluded 329 (7.5%) patients with incomplete data. Median patient age was 62 years (IQR 49 − 73), 1599 (39.6%) patients were female, and 1728 (42.8%) arrests were witnessed. The NUE rule identified 290 (7.2%) arrests, of whom none survived to hospital discharge. Conclusion In external validation, the NUE rule (Non-shockable initial rhythm, Unwitnessed arrest, Eighty years or older) correctly identified 7.2% of OHCA patients unlikely to survive to hospital discharge. The NUE rule could be used in EMS protocols and policies to identify OHCA patients very unlikely to benefit from aggressive resuscitation.

Shortening Ambulance Response Time Increases Survival in Out-of-Hospital Cardiac Arrest.

BackgroundThe ambulance response time in out‐of‐hospital cardiac arrest (OHCA) has doubled over the past 30 years in Sweden. At the same time, the chances of surviving an OHCA have increased substantially. A correct understanding of the effect of ambulance response time on the outcome after OHCA is fundamental for further advancement in cardiac arrest care.Methods and ResultsWe used data from the SRCR (Swedish Registry of Cardiopulmonary Resuscitation) to determine the effect of ambulance response time on 30‐day survival after OHCA. We included 20 420 cases of OHCA occurring in Sweden between 2008 and 2017. Survival to 30 days was our primary outcome. Stratification and multiple logistic regression were used to control for confounding variables. In a model adjusted for age, sex, calendar year, and place of collapse, survival to 30 days is presented for 4 different groups of emergency medical services (EMS)‐crew response time: 0 to 6 minutes, 7 to 9 minutes, 10 to 15 minutes, and >15 minutes. Survival to 30 days after a witnessed OHCA decreased as ambulance response time increased. For EMS response times of >10 minutes, the overall survival among those receiving cardiopulmonary resuscitation before EMS arrival was slightly higher than survival for the sub‐group of patients treated with compressions‐only cardiopulmonary resuscitation.ConclusionsSurvival to 30 days after a witnessed OHCA decreases as ambulance response times increase. This correlation was seen independently of initial rhythm and whether cardiopulmonary resuscitation was performed before EMS‐crew arrival. Shortening EMS response times is likely to be a fast and effective way of increasing survival in OHCA.

Association between prehospital prognostic factors and out-of-hospital cardiac arrest: Effect of rural-urban disparities.

Out-of-hospital cardiac arrest (OHCA) is associated with a poor prognosis and a highly variable survival rate. Few studies have focused on outcomes in rural and urban groups while also evaluating underlying diseases and prehospital factors for OHCAs. To investigate the relationship between the patient's underlying disease and outcomes of OHCAs in urban areas versus those in rural areas. We reviewed the emergency medical service (EMS) database for information on OHCA patients treated between January 2015 and December 2019, and collected data on pre-hospital factors, underlying diseases, and outcomes of OHCAs. Univariate and multivariate logistic regression analyses were used to evaluate the prognostic factors for OHCA. Data from 4225 OHCAs were analysed. EMS response time was shorter and the rate of attendance by EMS paramedics was higher in urban areas (p<0.001 for both). Urban area was a prognostic factor for >24-h survival (odds ratio [OR]=1.437, 95% confidence interval [CI]: 1.179-1.761). Age (OR=0.986, 95% CI: 0.979-0.993). EMS response time (OR=0.854, 95% CI: 0.811-0.898), cardiac arrest location (OR=2.187, 95% CI: 1.707-2.795), attendance by paramedics (OR=1.867, 95% CI: 1.483-2.347), and prehospital defibrillation (OR=2.771, 95% CI: 2.154-3.556) were independent risk factors for survival to hospital discharge, although the influence of an urban area was not significant (OR=1.211, 95% CI: 0.918-1.584). Compared with rural areas, OHCA in urban areas are associated with a higher 24-h survival rate. Shorter EMS response time and a higher probability of being attended by paramedics were noted in urban areas. Although shorter EMS response time, younger age, public location, defibrillation by an automated external defibrillator, and attendance by Emergency Medical Technician-paramedics were associated with a higher rate of survival to hospital discharge, urban area was not an independent prognostic factor for survival to hospital discharge in OHCA patients.

Out-of-hospital Cardiac Arrest in the Republic of Crimea: Analysis of Epidemiology and Practice of Care

Introduction. Efficient organization of measures aimed at decreasing mortality from out-of-hospital cardiac arrest (OHCA) warrants a clear understanding of OHCA epidemiology and performance of the prehospital care system in such cases. The study was aimed at performing respective analysis and identifying the ways for improving prehospital management of OHCA in the Republic of Crimea.Material and methods. Annual data from the Crimean OHCA and Resuscitation Registry for 2018 were utilized. All OHCA cases attended by emergency medical services (EMS) with attempted cardiopulmonary resuscitation (CPR) were included, regardless of cardiac arrest etiology or patients’ age (n=419). For ensuring conformity and comparability of the study results, data collection and analysis were executed in correspondence with the statements of the Utstein recommendations.Results. The overall incidence of EMS-attended OHCA in the Republic of Crimea was 673.3 per 100,000 population per year, the incidence of OHCA with attempted CPR – 21.9 per 100,000 population per year, the proportion of CPR attempts out of all OHCA cases – 3.3%. Mean patient age was 66.9 years, and 52.7% were male. The etiology was cardiac in 42.5% cases. In 71.8% cases OHCA was witnessed by EMS, in 25.5% – by a bystander before EMS arrival. Bystanders initiated CPR in 5.7% cases. The initial rhythm was asystole in 80.4% of all cases. When excluding EMS-witnessed cases, the mean EMS response time was 13 min. 5.0% patients had a sustained return of spontaneous circulation at hospital admission. Survival was associated with lower EMS response time (p=0.027), administration of shock (p&lt;0.001) and advanced airway management with endotracheal tube or laryngeal mask (p=0.047).Conclusion. High incidence of OHCA, low rates of CPR commencement and low rates of survival from OHCA in the Republic of Crimea determine the necessity of implementing a comprehensive program to improve prehospital care in the region. Considering the critical relevance of early intervention in OHCA and the revealed low bystander CPR rate, the measures for involving community into the process of prehospital care should form the basis of this program.

How the COVID-19 Epidemic Affected Prehospital Emergency Medical Services in Tehran, Iran.

IntroductionCoronavirus disease 2019 (COVID-19) has substantially impacted the healthcare delivery system in Tehran, Iran. The country’s first confirmed positive test for severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) was on February 18, 2020. Since then, the number of cases has steadily increased in Iran and worldwide. Emergency medical services (EMS) quickly adapted its operations to accommodate a greater number of patients, and it worked to decrease the risk of COVID-19 spread among EMS personnel, given the disease’s high transmissibility.MethodsWe evaluated the chief complaint as well as the pattern and number of EMS calls and dispatches during the 28-day intervals before and after the February 18, 2020, COVID-19 outbreak in Iran.ResultsEMS calls increased from 355,241 in the pre-outbreak period to 1,589,346 in the post-outbreak period, a 347% increase (p<0.001). EMS dispatches rose more modestly from 82,282 to 99,926, a 21% increase (p<0.001). The average time on telephone hold decreased from 10.6 ± 12.7 seconds pre-outbreak to 9.8 ± 11.8 seconds post-outbreak, a 7% decrease (p<0.001). The average length of call also decreased from 1.32 ± 1.42 minutes pre-outbreak to 1.06 ± 1.28 minutes post-outbreak, a 20% decrease (p<0.001). The highest number of daily dispatches occurred during the second and third weeks of the four-week post-outbreak period, peaking at 4557 dispatches/day. After the first reported case of SARS-CoV-2, there were significant increases in chief complaints of fever (211% increase, p<0.001) and respiratory symptoms (245% increase, p<0.001).ConclusionThe number of EMS calls and dispatches in Tehran increased 347% and 20%, respectively, after the outbreak of COVID-19. Despite this, the time on hold for EMS response decreased. The Tehran EMS system accomplished this by increasing personnel hours, expanding call-center resources, and implementing COVID-19-specific training.

Occupational exposures and programmatic response to COVID-19 pandemic: an emergency medical services experience

Rigorous assessment of occupational COVID-19 risk and personal protective equipment (PPE) use is not well-described. We evaluated 9-1-1 emergency medical services (EMS) encounters for patients with COVID-19 to assess occupational...

Geospatial analysis of emergency services use for public health assessment and intervention

Abstract The population is increasingly using emergency care services around the world. The underlying interrogation is whether this increase is a consequence from a dysfunction in healthcare provision, from a deterioration in the health status of the population or from socioeconomic determinants. We performed geospatial analyses with 3-year 1,081,026 Emergency Medical Services (EMS) responses in Paris and its suburbs. Incidence of calls per population and complaints were compared, at the neighborhood level, with demographic and socioeconomic determinants. Associations with characteristics of the health system such as the density of primary care doctors were also studied. Spatial autocorrelations were searched with Moran's I analyses. We found a positive correlation between the incidence of EMS calls by population for respiratory problems, and the level of poverty as well as the unemployment rate (p &amp;lt; 0.001). There was no significant correlation between psychiatric complaints and socioeconomic determinants. There was a strong correlation between calls for birth or imminent birth by woman of childbearing age and the unemployment rate among women, the unemployment rate overall and household median household income (p &amp;lt; 0.001). There was no correlation between the density of primary care providers and EMS activity by population. EMS data allowed us to powerfully identify specific socioeconomic determinants of health for a 7 million-inhabitant population at the district level. Results could be used to design and implement tailored public health interventions for maximum impact. The overuse of emergency services does not seem to stem solely from the decrease in the supply of primary care doctors. Innovatively, monitoring the actual use of emergency services could responsively inform policy makers and agencies responsible for prevention and health promotion about the specific needs of the population and the consequences of decisions on the organization of the provision of care. Key messages The use of emergency services is a valid metric to evaluate the health status of the population and identify socioeconomic determinants. It gives specific guidelines for public health interventions. Geospatial analyses can efficiently identify the specific needs of a population at the neighborhood level. It can participate to the evaluation of the organization of healthcare provision.

Weather and temporal models for emergency medical services: An assessment of generalizability

Emergency medical services (EMS) response volume has been linked to weather and temporal factors in a regional EMS system. We aimed to identify if models of EMS utilization incorporating these data are generalizable through geographically disparate areas in the United States. We performed a retrospective analysis of EMS dispatch data from four regions: New York City, San Francisco, Cincinnati, and Marin County for years 2016-2019. For each model, we used local weather data summarized from the prior 6 h into hourly bins. Our outcome for each model was EMS dispatches as count data. We fit and optimized a negative binomial regression model for each region, to estimate incidence rate ratios. We compared findings to a prior study performed in Western Pennsylvania. We included 5,940,637 EMS dispatches from New York City, 809,405 from San Francisco, 260,412 from Cincinnati, and 77,461 from Marin County. Models demonstrated consistency with the Western Pennsylvania model with respect to temperature, season, wind speed, dew point, and time of day; both in terms of direction and effect size when expressed as incidence rate ratios. Precipitation was associated with increasing dispatches in the New York City, Cincinnati, and Marin County models, but not the San Francisco model. With minor differences, regional models demonstrated consistent associations between dispatches and time and weather variables. Findings demonstrate the generalizability of associations between these variables with respect to EMS use. Weather and temporal factors should be considered in predictive modeling to optimize EMS staffing and resource allocation.

Out-of-Hospital Cardiac Arrest Response and Outcomes During the COVID-19 Pandemic

ObjectivesThe purpose of this study was to evaluate the potential impact of the coronavirus disease-2019 (COVID-19) pandemic on out-of-hospital cardiac arrest (OHCA) responses and outcomes in 2 U.S. communities with relatively low infection rates.BackgroundStudies in areas with high COVID-19 infection rates indicate that the pandemic has had direct and indirect effects on community responses to OHCA and negative impacts on survival. Data from areas with lower infection rates are lacking.MethodsCases of OHCA in Multnomah County, Oregon, and Ventura County, California, with attempted resuscitation by emergency medical services (EMS) from March 1 to May 31, 2020, and from March 1 to May 31, 2019, were evaluated.ResultsIn a comparison of 231 OHCA in 2019 to 278 in 2020, the proportion of cases receiving bystander cardiopulmonary resuscitation (CPR) was lower in 2020 (61% to 51%, respectively; p = 0.02), and bystander use of automated external defibrillators (AEDs) declined (5% to 1%, respectively; p = 0.02). EMS response time increased (6.6 ± 2.0 min to 7.6 ± 3.0 min, respectively; p < 0.001), and fewer OHCA cases survived to hospital discharge (14.7% to 7.9%, respectively; p = 0.02). Incidence rates did not change significantly (p > 0.07), and coronavirus infection rates were low (Multnomah County, 143/100,000; Ventura County, 127/100,000 as of May 31) compared to rates of ∼1,600 to 3,000/100,000 in the New York City region at that time.ConclusionsThe community response to OHCA was altered from March to May 2020, with less bystander CPR, delays in EMS response time, and reduced survival from OHCA. These results highlight the pandemic’s indirect negative impact on OHCA, even in communities with relatively low incidence of COVID-19 infection, and point to potential opportunities for countering the impact.

Effect of the Coronavirus Disease 2019 (COVID-19) Pandemic on the U.S. Emergency Medical Services System: A Preliminary Report.

BackgroundOur objective was to quantify trends in emergency medical services (EMS) incidents as the effects of the COVID‐19 pandemic spread across the United States and to determine if there was an increase in EMS‐attended deaths.MethodsWe conducted a 3‐year comparative retrospective cohort analysis of data from the National EMS Information System. Data were included if care was provided between the 40th and 21st weeks of the next year and compared over 3 years. We included incidents identified through 9‐1‐1 where patient contact was made. The total number of EMS incidents per week was used as the denominator to calculate the rate of patient deaths and possible injury. We assessed for temporal and seasonal trends.ResultsStarting in the 10th week of 2020 there was a decrease in the number of EMS activations in the United States compared to the prior weeks and the same time period in previous years. The number of activations between week 10 and week 16 decreased by 140,292 or 26.1%. The portion of EMS activations reporting a patient disposition of death nearly doubled between the 11th and 15th weeks of 2020 (1.49%–2.77% of all activations). The number of EMS activations documenting a possible injury decreased from 18.43% to 15.27% between weeks 10 and 13.ConclusionWe found that early in the COVID‐19 outbreak there was a significant decrease in the number of EMS responses across the United States. Simultaneously the rate of EMS‐attended death doubled, while the rate of injuries decreased.

EMS Access Constraints And Response Time Delays For Deprived Critically Ill Patients Near Paris, France.

Increased emergency medical services (EMS) response times and areas of low socioeconomic status are both associated with poorer outcomes for several time-sensitive medical conditions attended to by medical personnel before a patient is hospitalized. We evaluated the association between EMS response times, area deprivation level, and on-scene access constraints encountered by EMS in a large urban area in France. We conducted a multicenter prospective cohort study of EMS dispatches occurring in the forty-seven cities in a region southeast of Paris. We fit multilevel mixed-effects linear regression models for multivariate assessment of the predictors of EMS response times and then used multivariate logistic regression on outcomes among a subgroup of patients presenting with out-of-hospital cardiac arrest. We found evidence that access constraints were more frequently encountered by EMS in the most deprived areas compared to less deprived ones, and were associated with increased EMS response times until patient contact and with poorer outcomes from cardiac arrest. Strategies to anticipate and overcome access constraints should be implemented to improve outcomes for emergent conditions attended to by prehospital medical teams.

A faster approach to ECG analysis in emergency situations.

Every day, a substantial number of people need to be treated in emergencies and these situations imply a short timeline. Especially concerning heart abnormalities, the time factor is very important. Therefore, we propose a full-stack system for faster and cheaper ECG taking aimed at paramedics, to enhance Emergency Medical Service (EMS) response time. To stick with the golden hour rule, and reduce the cost of the current devices, the system is capable of enabling the detection and annotation of anomalies during ECG acquisition. Our system combines Machine Learning and traditional Signal Processing techniques to analyze ECG tracks to use it in a glove-like wearable. Finally, a graphical interface offers a dynamic view of the whole procedure.

Who receives naloxone from emergency medical services? Characteristics of calls and recent trends

Background: With the rapid rise in opioid overdose-related deaths, state policy makers have expanded policies to increase the use of naloxone by emergency medical services (EMS). However, little is known about changes in EMS naloxone administration in the context of continued worsening of the opioid crisis and efforts to increase use of naloxone. This study examines trends in patient demographics and EMS response characteristics over time and by county urbanicity. Methods: We used data from the 2013–2016 National EMS Information System to examine trends in patient demographics and EMS response characteristics for 911-initiated incidents that resulted in EMS naloxone administration. We also assessed temporal, regional, and urban–rural variation in per capita rates of EMS naloxone administrations compared with per capita rates of opioid-related overdose deaths. Results: From 2013 to 2016, naloxone administrations increasingly involved young adults and occurred in public settings. Particularly in urban counties, there were modest but significant increases in the percentage of individuals who refused subsequent treatment, were treated and released, and received multiple administrations of naloxone before and after arrival of EMS personnel. Over the 4-year period, EMS naloxone administrations per capita increased at a faster rate than opioid-related overdose deaths across urban, suburban, and rural counties. Although national rates of naloxone administration were consistently higher in suburban counties, these trends varied across U.S. Census Regions, with the highest rates of suburban administration occurring in the South. Conclusions: Naloxone administration rates increased more quickly than opioid deaths across all levels of county urbanicity, but increases in the percentage of individuals requiring multiple doses and refusing subsequent care require further attention.