Infant out-of-hospital cardiac arrest during nights and weekends.

BACKGROUND: A growing body of evidence suggests outcomes for cardiac arrest in adults are worse during nights and weekends when compared with daytime and weekdays. Similar research has not yet been carried out in the infant setting. METHODS: We examined the National Emergency Medical Services Information System (NEMSIS), a database containing millions of emergency medical services (EMS) runs in the United States. Inclusion criteria were infant out-of-hospital cardiac arrests (patients <1 years old) taking place prior to EMS arrival between January 2021 and December 2022 where EMS documented whether return of spontaneous circulation (ROSC) was achieved. Cardiac arrests were classified as occurring during either the day (defined as 0800-1959) or the night (defined as 2000-0759) and weekends (Saturday/Sunday) or weekdays (Monday-Friday). Rates of ROSC achievement were compared. RESULTS: A total of 8549 infant cardiac arrests met inclusion criteria: 5074 (59.4%) took place during daytime compared with 3475 (40.6%) during nighttime, and 5989 (70.1%) arrests occurred on weekdays compared with 2560 (29.9%) on weekends. Rates of ROSC achievement were significantly lower on weekends versus weekdays (16.8% vs. 14.1%; p = 0.00097). A difference in ROSC rates when comparing daytime and nighttime was seen, but this difference was not statistically significant (16.4% vs. 15.3%; p = 0.08076). CONCLUSION: ROSC achievement rates for infant out-of-hospital cardiac arrest are significantly lower on weekends when compared with weekdays. Further study and quality improvement work is needed to better understand this.

National community disparities in prehospital penetrating trauma adjusted for income, 2020-2021.

INTRODUCTION: While Black individuals experienced disproportionately increased firearm violence and deaths during the COVID-19 pandemic, less is known about community level disparities. We sought to evaluate national community race and ethnicity differences in 2020 and 2021 rates of penetrating trauma. METHODS: We linked the 2018-2021 National Emergency Medical Services Information System databases to ZIP Code demographics. We stratified encounters into majority race/ethnicity communities (>50% White, Black, or Hispanic/Latino). We used logistic regression to compare penetrating trauma for each community in 2020 and 2021 to a combined 2018-2019 historical baseline. Majority Black and majority Hispanic/Latino communities were compared to majority White communities for each year. Analyses were adjusted for household income. RESULTS: We included 87,504,097 encounters (259,449 penetrating traumas). All communities had increased odds of trauma in 2020 when compared to 2018-2019, but this increase was largest for Black communities (aOR 1.4, [1.3-1.4]; White communities - aOR 1.2, [1.2-1.3]; Hispanic/Latino communities - aOR 1.1. [1.1-1.2]). There was a similar trend of increased penetrating trauma in 2021 for Black (aOR 1.2, [1.2-1.3]); White (aOR 1.2, [1.1-1.2]); Hispanic/Latino (aOR 1.1, [1.1-1.1]). Comparing penetrating trauma in each year to White communities, Black communities had higher odds of trauma in all years (2018/2019 - aOR 3.0, [3.0-3.1]; 2020 - aOR 3.3, [3.3-3.4]; 2021 - aOR 3.3, [3.2-3.2]). Hispanic/Latino also had more trauma each year but to a lesser degree (2018/2019 - aOR 2.0, [2.0-2.0]; 2020 - aOR 1.8, [1.8-1.9]; 2021 - aOR 1.9, [1.8-1.9]). CONCLUSION: Black communities were most impacted by increased penetrating trauma rates in 2020 and 2021 even after adjusting for income.

Emergency Department Pediatric Readiness Among US Trauma Centers: A Machine Learning Analysis of Components Associated With Survival.

OBJECTIVE: We used machine learning to identify the highest impact components of emergency department (ED) pediatric readiness for predicting in-hospital survival among children cared for in US trauma centers. BACKGROUND: ED pediatric readiness is associated with improved short-term and long-term survival among injured children and part of the national verification criteria for US trauma centers. However, the components of ED pediatric readiness most predictive of survival are unknown. METHODS: This was a retrospective cohort study of injured children below 18 years treated in 458 trauma centers from January 1, 2012, through December 31, 2017, matched to the 2013 National ED Pediatric Readiness Assessment and the American Hospital Association survey. We used machine learning to analyze 265 potential predictors of survival, including 152 ED readiness variables, 29 patient variables, and 84 ED-level and hospital-level variables. The primary outcome was in-hospital survival. RESULTS: There were 274,756 injured children, including 4585 (1.7%) who died. Nine ED pediatric readiness components were associated with the greatest increase in survival: policy for mental health care (+8.8% change in survival), policy for patient assessment (+7.5%), specific respiratory equipment (+7.2%), policy for reduced-dose radiation imaging (+7.0%), physician competency evaluations (+4.9%), recording weight in kilograms (+3.2%), life support courses for nursing (+1.0%-2.5%), and policy on pediatric triage (+2.5%). There was a 268% improvement in survival when the 5 highest impact components were present. CONCLUSIONS: ED pediatric readiness components related to specific policies, personnel, and equipment were the strongest predictors of pediatric survival and worked synergistically when combined.

Description of the 2020 NEMSIS Public-Release Research Dataset.

BACKGROUND: The National Emergency Medical Services Information System (NEMSIS) is a federally funded program designed to standardize Emergency Medical Services (EMS) patient care reporting and facilitate state and national data repositories for the assessment and improvement of EMS systems of care. This manuscript characterizes the 2020 submissions to the National EMS Database, detailing the strengths and limitations associated with use of these data for public health surveillance, improving prehospital patient care, critical resource allocation, clinician safety, system quality assurance and research purposes. METHODOLOGY: Using the 2020 NEMSIS Public-Release Research Dataset (NEMSIS dataset), we evaluated the dataset completeness (i.e., presence of missing/null values), dataset content and assessed data generalizability. The analysis focused on 9-1-1 EMS activations resulting in the treatment and transport of a patient, except for out-of-hospital cardiac arrests for which all patients were included regardless of transport status. RESULTS: In 2020, 43,488,767 EMS activations were reported to the National EMS Database by 12,319 agencies serving 50 states and territories. Of the 19,533,036 9-1-1 EMS activations reportedly treating and transporting a patient, the majority were attended by "non-volunteer" clinicians (77%) working in a fire-based EMS agency (35%) certified to offer Advanced Life Support (ALS) Paramedic service (80%) and located in an urban area (82%). 9-1-1 call centers most often dispatched EMS for "sick person" (20%), while EMS clinicians most likely reported asthenia (7%) as the patient's primary symptom as well as the clinician's primary impression (6%), and documented "fall on same level, slip, or trip" as the most common cause of injury (37%). The NEMSIS dataset demonstrates some "missingness" and element inconsistencies, but methods may be employed to mitigate these data limitations. CONCLUSIONS: The National EMS Database is a free and publicly available resource for evaluating EMS system utilization, response, and prehospital patient care. Understanding the characteristics of the underlying dataset and known data limitations will help ensure proper analysis and reporting of research and quality metrics based on nationally standardized NEMSIS data.

Activation and On-Scene Intervals for Severe Trauma EMS Interventions: An Analysis of the NEMSIS Database.

Objective: Time to care is a determinant of trauma patient outcomes, and timely delivery of trauma care to severely injured patients is critical in reducing mortality. Numerous studies have analyzed access to care using prehospital intervals from a Carr et al. meta-analysis of studies from 1975 to 2005. Carr et al.'s research sought to determine national mean activation and on-scene intervals for trauma patients using contemporary emergency medical services (EMS) records. Since the Carr et al. meta-analysis was published, the National Highway Traffic Safety Administration (NHTSA) created and refined the National Emergency Medical Services Information System (NEMSIS) database. We sought to perform a modern analysis of prehospital intervals to establish current standards and temporal patterns.Methods: We utilized NEMSIS to analyze EMS data of trauma patients from 2016 to 2019. The dataset comprises more than 94 million EMS records, which we filtered to select for severe trauma and stratified by type of transport and rurality to calculate mean activation and on-scene intervals. Furthermore, we explored the impact of basic life support (BLS) and advanced life support (ALS) of ground units on activation and on-scene time intervals.Results: Mean activation and on-scene intervals for ground transport were statistically different when stratified by rurality. Urban, suburban, and rural ground activation intervals were 2.60 ± 3.94, 2.88 ± 3.89, and 3.33 ± 4.58 minutes, respectively. On-scene intervals were 15.50 ± 10.46, 17.56 ± 11.27, and 18.07 ± 16.13 minutes, respectively. Mean helicopter transport activation time was 13.75 ± 7.44 minutes and on-scene time was 19.42 ± 16.09 minutes. This analysis provides an empirically defined mean for activation and on-scene times for trauma patients based on transport type and rurality. Results from this analysis proved to be significantly longer than the previous analysis, except for helicopter transport on-scene time. Shorter mean intervals were seen in ALS compared to BLS for activation intervals, however ALS on-scene intervals were marginally longer than BLS.Conclusions: With the increasing sophistication of geospatial technologies employed to analyze access to care, these intervals are the most accurate and up-to-date and should be included in access to care models.

A Geospatial Evaluation of 9-1-1 Ambulance Transports for Children and Emergency Department Pediatric Readiness.

OBJECTIVE: Whether ambulance transport patterns are optimized to match children to high-readiness emergency departments (EDs) and the resulting effect on survival are unknown. We quantified the number of children transported by 9-1-1 emergency medical services (EMS) to high-readiness EDs, additional children within 30 minutes of a high-readiness ED, and the estimated effect on survival. METHODS: This was a cross-sectional study using data from the National EMS Information System for 5,461 EMS agencies in 28 states from 1/1/2012 through 12/31/2019, matched to the 2013 National Pediatric Readiness Project assessment of ED pediatric readiness. We performed a geospatial analysis of children 0 to 17 years requiring 9-1-1 EMS transport to acute care hospitals, including day-, time-, and traffic-adjusted estimates for driving times to all EDs within 30 minutes of the scene. We categorized receiving hospitals by quartile of ED pediatric readiness using the weighted Pediatric Readiness Score (wPRS, range 0-100) and defined a high-risk subgroup of children as a proxy for admission. We used published estimates for the survival benefit of high readiness EDs to estimate the number of lives saved. RESULTS: There were 808,536 children transported by EMS, of whom 253,541 (31.4%) were high-risk. Among the 2,261 receiving hospitals, the median wPRS was 70 (IQR 57-85, range 26-100) and the median number of receiving hospitals within 30 minutes was 4 per child (IQR 2-11, range 1 to 53). Among all children, 411,685 (50.9%) were taken to EDs in the highest quartile of pediatric readiness, and 180,547 (22.3%) children transported to lower readiness EDs were within 30 minutes of a high readiness ED. Findings were similar among high-risk children. Based on high-risk children, we estimated that 3,050 pediatric lives were saved by transport to high-readiness EDs and an additional 1,719 lives could have been saved by shifting transports to high readiness EDs within 30 minutes. CONCLUSIONS: Approximately half of children transported by EMS were taken to high-readiness EDs and an additional one quarter could have been transported to such an ED, with measurable effect on survival.

Under-Triage and Over-Triage Using the Field Triage Guidelines for Injured Patients: A Systematic Review.

OBJECTIVES: The Field Triage Guidelines (FTG) are used across North America to identify seriously injured patients for transport to appropriate level trauma centers, with a goal of under-triaging no more than 5% and over-triaging between 25% and 35%. Our objective was to systematically review the literature on under-triage and over-triage rates of the FTG. METHODS: We conducted a systematic review of the FTG performance. Ovid Medline, EMBASE, and the Cochrane databases were searched for studies published between January 2011 and February 2021. Two investigators dual-reviewed eligibility of abstracts and full-text. We included studies evaluating under- or over-triage of patients using the FTG in the prehospital setting. We excluded studies not reporting an outcome of under- or over-triage, studies evaluating other triage tools, or studies of triage not in the prehospital setting. Two investigators independently assessed the risk of bias for each included article. The primary accuracy measures to assess the FTG were under-triage, defined as seriously injured patients transported to non-trauma hospitals (1-sensitivity), and over-triage, defined as non-injured patients transported to trauma hospitals (1-specificity). Due to heterogeneity, results were synthesized qualitatively. RESULTS: We screened 2,418 abstracts, reviewed 315 full-text publications, and identified 17 studies that evaluated the accuracy of the FTG. Among eight studies evaluating the entire FTG (steps 1-4), under-triage rates ranged from 1.6% to 72.0% and were higher for older (≥55 or ≥65 years) adults (20.1-72.0%) and pediatric (<15 years) patients (15.9-34.8%) compared to all ages (1.6-33.8%). Over-triage rates ranged from 9.9% to 87.4% and were higher for all ages (12.2-87.4%) compared to older (≥55 or ≥65 years) adults (9.9-48.2%) and pediatric (<15 years) patients (28.0-33.6%). Under-triage was lower in studies strictly applying the FTG retrospectively (1.6-34.8%) compared to as-practiced (10.5-72.0%), while over-triage was higher retrospectively (64.2-87.4%) compared to as-practiced (9.9-48.2%). CONCLUSIONS: Evidence suggests that under-triage, while improved if the FTG is strictly applied, remains above targets, with higher rates of under-triage in both children and older adults.

A comparison between sudden cardiac arrest on military bases and non-military settings.

INTRODUCTION: Out-of-hospital cardiac arrests contribute to significant morbidity and mortality in both non-military/civilian and military populations. Early CPR and AED use have been linked with improved outcomes. There is public health interest in identifying communities with high rates of both with the hopes of creating generalizable tactics for improving cardiac arrest survival. METHODS: We examined a national registry of EMS activations in the United States (NEMSIS). Inclusion criteria were witnessed cardiac arrests from January 2020 to September 2022 where EMS providers documented the location of the arrest, whether CPR was provided prior to their arrival (yes/no), and whether an AED was applied prior to their arrival (yes/no). Cardiac arrests were then classified as occurring on a military base or in a non-military setting. RESULTS: A total of 60 witnessed cardiac arrests on military bases and 202,605 witnessed cardiac arrests in non-military settings met inclusion criteria. Importantly, the prevalence of CPR and AED use prior to EMS arrival was significantly higher on military bases compared to non-military settings. CONCLUSIONS: Reasons for the trends we observed may be a greater availability of CPR-trained individuals and AEDs on military bases, as well as a widespread willingness to provide aid to victims of cardiac arrest. Further research should examine cardiac arrests on military bases.

National trends in prehospital penetrating trauma in 2020 and 2021.

OBJECTIVE: Prior studies identified increased penetrating trauma rates during the earlier phase of the COVID-19 pandemic, but there is limited study of penetrating trauma rates in 2021 or at a national level. We evaluated trends in prehospital encounters for penetrating trauma in 2020 and 2021 using a national database. METHODS: We conducted a retrospective analysis of the National Emergency Medicinal Services (EMS) Information System (NEMSIS) combined 2018-2021 databases of prehospital encounters. We calculated penetrating trauma yearly and monthly rates with 95% confidence; both overall and for each census region. We compared trauma rates in 2020 and 2021 to combined 2018/2019. RESULTS: There were 67,457 (rate of 0.30%) penetrating traumas in 2018, 86,054 (0.30%) in 2019, 95,750 (0.37%) in 2020, and 98,040 (0.34%) in 2021. Nationally, trauma rates were higher from March 2020 to July 2021 than baseline. Penetrating trauma rates from May-December 2021 were lower than May-December of 2020. All census regions similarly had increased trauma rates during from March 2020 to July 2021. CONCLUSION: We identified elevated rates of trauma on 2020 that lasted until July of 2021 that was present in all US census regions.

A Novel Use of NEMSIS to Create a PECARN-Specific EMS Patient Registry.

Background: Research networks need access to EMS data to conduct pilot studies and determine feasibility of prospective studies. Combining data across EMS agencies is complicated and costly. Leveraging the National EMS Information System (NEMSIS) to extract select agencies' data may be an efficient and cost-effective method of providing network-level data. Objective: Describe the process of creating a Pediatric Emergency Care Applied Research Network (PECARN) specific NEMSIS data set and determine if these data were nationally representative. Methods: We established data use agreements (DUAs) with EMS agencies participating in PECARN to allow for agency identification through NEMSIS. Using 2019 NEMSIS version 3.4.0 data for EMS events with patients 18 years old and younger, we compared PECARN NEMSIS data to national NEMSIS data. Analyzed variables were selected for their ability to characterize events. No statistical analyses were utilized due to the large sample, instead, differences of ±5% were deemed clinically meaningful. Results: DUAs were established for 19 EMS agencies, creating a PECARN data set with 305,188 EMS activations of which 17,478 (5.7%) were pediatric. Of the pediatric activations, 17,140 (98.1%) were initiated through 9-1-1 and 9,487 (55.4%) resulted in transport by the documenting agency. The national data included 36,288,405 EMS activations of which 2,152,849 (5.9%) were pediatric. Of the pediatric activations 1,704,141 (79.2%) were initiated through 9-1-1 and 1,055,504 (61.9%) were transported by the documenting agency. Age and gender distributions were similar between the two groups, but the PECARN-specific data under-represents Black and Latinx patients. Comparison of EMS provider primary impressions revealed that three of the five most common were similar with injury being the most prevalent for both data sets along with mental/behavioral health and seizure. Conclusion: We demonstrated that NEMSIS can be leveraged to create network specific data sets. PECARN's EMS data were similar to the national data, though racial/ethnic minorities and some primary impressions may be under-represented. Additionally, more EMS activations in PECARN study areas originated through 9-1-1 but fewer were transported by the documenting agency. This is likely related to the type of participating agencies, their ALS response level, and the diversity of the communities they serve.

Changes in Emergency Medical Services Before and During the COVID-19 Pandemic in the United States, January 2018-December 2020.

BACKGROUND: As a result of the continuing surge of coronavirus disease 2019 (COVID-19), many patients have delayed or missed routine screening and preventive services. Medical conditions, such as coronary heart disease, mental health issues, and substance use disorder, may be identified later, leading to increases in patient morbidity and mortality. METHODS: National Emergency Medical Services Information System data were used to assess 911 emergency medical services (EMS) activations during 2018-2020. For specific activation types, the percentage of total activations was calculated per week, and Joinpoint analysis was used to identify changes over time. RESULTS: Since March 2020, the number of 911 EMS activations has decreased, while the percentages of on-scene death, cardiac arrest, and opioid use/overdose EMS activations were higher than prepandemic levels. During the early pandemic period, percentages of total EMS activations increased for on-scene death (from 1.3% to 2.4% during weeks 11-15), cardiac arrest (from 1.3% to 2.2% during weeks 11-15), and opioid use/overdose (from 0.6% to 1.1% during weeks 8-18). The percentages then declined but remained above prepandemic levels through calendar week 52. CONCLUSIONS: The COVID-19 pandemic has indirect consequences, such as relative increases in EMS activations for cardiac events and opioid use/overdose, possibly linked to disruptions is healthcare access and health-seeking behaviors. Increasing telehealth visits and other opportunities for patient-provider touch points for chronic disease and substance use disorders that emphasize counseling, preventive care, and expanded access to medications can disrupt delayed care-seeking during the pandemic and potentially prevent premature death.

Documentation of Child Maltreatment by Emergency Medical Services in a National Database.

BACKGROUND: Child abuse and neglect (CAN) has an estimated annual incidence of 1.46% among those ≤3 years old. Prehospital providers (PHPs) report difficulties identifying CAN and the frequency in which PHPs document CAN during prehospital encounters of young children is not known. OBJECTIVE: To report the percentage of CAN documentation by PHPs during encounters among children ≤3 years in a national dataset and describe the characteristics of this population. METHODS: This is an analysis of concurrent cases in the 2017-18 National Emergency Medical Services Information System database. We identified children ≤3 years old with ICD-10-CM codes specific for CAN including codes for physical and sexual abuse as well as neglect. We examined patient demographics including race, gender, Emergency Medical Services (EMS) primary and secondary impression, associated symptoms, anatomic location of chief complaint, and cause of injury. Our primary outcome is the percentage of CAN reported as an EMS primary or secondary impression; secondary outcomes include proportion of children with each subtype of abuse, the description of patients by demographic information, anatomic location of injury, and associated symptoms. RESULTS: There were 498,555 for children ≤3 years old, of which 522 had an impression of CAN (0.10%). Within our cohort, 43% were <1 year of age, 51% were male. The most common anatomic location of injury was general/global (29.7%), followed by head (23.5%) and extremity (14%). The most common symptoms reported by PHPs are those associated with injury including codes for injury, burn, fracture, cutaneous findings, hemorrhage, or pain (n = 244, 63%). Pain is the most commonly reported symptom (n = 110, 21%). Few encounters specified vomiting, seizure, or disordered breathing as symptoms (1%, 1%, and 5.4%, respectively). Interestingly, 28.2% (27/124) of cases in our cohort were related to sexual abuse. CONCLUSIONS: The percentage of PHP documentation of CAN among children ≤3 years of age is very low. Among those with an EMS primary impression of CAN, documentation is primarily associated with findings of injury whereas documentation of nonspecific symptoms such as vomiting and seizure is infrequent. These findings suggest that recognition of abuse primarily occurs in young patients with overt signs of trauma.

Delays in Emergency Care and Mortality during Major U.S. Marathons.

BACKGROUND: Large marathons frequently involve widespread road closures and infrastructure disruptions, which may create delays in emergency care for nonparticipants with acute medical conditions who live in proximity to marathon routes. METHODS: We analyzed Medicare data on hospitalizations for acute myocardial infarction or cardiac arrest among Medicare beneficiaries (≥65 years of age) in 11 U.S. cities that were hosting major marathons during the period from 2002 through 2012 and compared 30-day mortality among the beneficiaries who were hospitalized on the date of a marathon, those who were hospitalized on the same day of the week as the day of the marathon in the 5 weeks before or the 5 weeks after the marathon, and those who were hospitalized on the same day as the marathon but in surrounding ZIP Code areas unaffected by the marathon. We also analyzed data from a national registry of ambulance transports and investigated whether ambulance transports occurring before noon in marathon-affected areas (when road closures are likely) had longer scene-to-hospital transport times than on nonmarathon dates. We also compared transport times on marathon dates with those on nonmarathon dates in these same areas during evenings (when roads were reopened) and in areas unaffected by the marathon. RESULTS: The daily frequency of hospitalizations was similar on marathon and nonmarathon dates (mean number of hospitalizations per city, 10.6 and 10.5, respectively; P=0.71); the characteristics of the beneficiaries hospitalized on marathon and nonmarathon dates were also similar. Unadjusted 30-day mortality in marathon-affected areas on marathon dates was 28.2% (323 deaths in 1145 hospitalizations) as compared with 24.9% (2757 deaths in 11,074 hospitalizations) on nonmarathon dates (absolute risk difference, 3.3 percentage points; 95% confidence interval, 0.7 to 6.0; P=0.01; relative risk difference, 13.3%). This pattern persisted after adjustment for covariates and in an analysis that included beneficiaries who had five or more chronic medical conditions (a group that is unlikely to be hospitalized because of marathon participation). No significant differences were found with respect to where patients were hospitalized or the treatments they received in the hospital. Ambulance scene-to-hospital transport times for pickups before noon were 4.4 minutes longer on marathon dates than on nonmarathon dates (relative difference, 32.1%; P=0.005). No delays were found in evenings or in marathon-unaffected areas. CONCLUSIONS: Medicare beneficiaries who were admitted to marathon-affected hospitals with acute myocardial infarction or cardiac arrest on marathon dates had longer ambulance transport times before noon (4.4 minutes longer) and higher 30-day mortality than beneficiaries who were hospitalized on nonmarathon dates. (Funded by the National Institutes of Health.).

Emergency Medical Services Time Intervals for Acute Chest Pain in the United States, 2015-2016.

Background: Chest pain is a leading complaint in emergency settings. Timely emergency medical services (EMS) responses can reduce delays to treatment and improve clinical outcomes for acute myocardial infarction patients and other medical emergencies. We investigated national-level EMS response, scene, and transport times for acute chest pain patients in the United States. Methods: A retrospective analysis was performed using 2015-2016 data from the National EMS Information System (NEMSIS). Eligible patients were identified as having a provider impression of chest pain or discomfort and not due to trauma or resulting in cardiac arrest during EMS care. Descriptive analyses of prehospital time intervals and patient-, response-, and system-level covariates were performed. Multivariable logistic regression was used to measure associations between meeting response and scene time benchmarks (8-min and 15-min, respectively) and covariates. Results: Our study identified 1,672,893 eligible EMS encounters of chest pain. Patients had a mean age of 63.1 years (SD = 14.8). The population was evenly distributed by sex (51% male; 49% female). Most encounters occurred in home or residence (58%) and had lights and sirens response to scene (84%). Most encounters were in urban areas (78%). The median (interquartile range, IQR) response time was 7 (5-10) minutes. The median (IQR) scene time was 16 (12-20) minutes. The median (IQR) transport time was 13 (8-20) minutes. Generally, median response and transport times were longer in rural and frontier areas compared to urban and suburban areas. Only 65% and 49% met the 8-min response and 15-min scene time benchmarks. Responding with lights and sirens was associated with greater compliance with EMS response time benchmark. EMS care of older age groups and females was less likely to meet the scene time benchmark. Conclusions: Substantial proportions of EMS encounters for chest pain did not meet response and scene time benchmarks. Regional and urban-rural differences were observed in adherence with the response time benchmark. Our findings also suggest age and gender disparities in on-scene delays by EMS. Our study contributes important evidence on timely EMS responses for cardiac chest pain and provides suggestions for EMS system benchmarking and quality improvement.

Emergency Medical Services Response to Mass Shooting and Active Shooter Incidents, United States, 2014-2015.

BACKGROUND: The purpose of the current study was to describe the injury patterns, EMS response and interventions to mass shooting (MS) and active shooter (AS) incidents. METHODS: Retrospective analysis of 2014-2015 National Emergency Medical Services Information System (NEMSIS) data sets. Date, time, and location for MS incidents were obtained from the Gun Violence Archive and then correlated with NEMSIS data set records. AS incidents were identified through Federal Bureau of Investigation (FBI) data. A de-identified database was generated for final analysis. RESULTS: A total of 608 MS incidents were identified, of which 19 were also classified as AS incidents. NEMSIS patient care data was available for 652 EMS activations representing 226 unique MS incidents. Thirty-four EMS responses to 5 unique AS incidents were similarly identified: 76% of victims were male and 80% of victims were African American. Dispatch complaint did not suggest shooting (potentially dangerous scene environment) in 15.9% of records. The most commonly reported incident locations for MS were Street/Highway (38.2%) and Home/Residence (32.4%). Location of wounds included extremities (49%), chest (12%), and head/neck (13%). Tourniquet use was documented in 6 victims. 35.9% of victims were transported to the closest facility. CONCLUSIONS: MS and AS incidents are prevalent in the United States. Despite the fact that extremity wounds were common, documented EMS tourniquet use was uncommon. While MS events are high risk for responders, dispatch information was lacking in almost 15% of records. Responding EMS agencies were diverse, emphasizing the need to ensure all EMS providers are prepared to respond to MS incidents.

Hypoglycemia Emergencies: Factors Associated with Prehospital Care, Transportation Status, Emergency Department Disposition, and Cost.

Objectives: The objectives of this study were to evaluate demographic/clinical characteristics and treatment/transportation decisions by emergency medical services (EMS) for patients with hypoglycemia and link EMS activations to patient disposition, outcomes, and costs to the emergency medical system. This evaluation was to identify potential areas where improvements in prehospital healthcare could be made. Methods: This was a retrospective analysis of the National Emergency Medical Services Information System (NEMSIS) registry and three national surveys: Nationwide Emergency Department Sample (NEDS), National Hospital Ambulatory Medical Care Survey (NHAMCS), and Medical Expenditure Panel Survey (MEPS) from 2013, to examine care of hypoglycemia from the prehospital and the emergency department (ED) perspectives. Results: The study estimated 270,945 hypoglycemia EMS incidents from the NEMSIS registry. Treatments were consistent with national guidelines (i.e., oral glucose, intravenous [IV] dextrose, or glucagon), and patients were more likely to be transported to the ED if the incident was in a rural setting or they had other chief concerns related to the pulmonary or cardiovascular system. Use of IV dextrose decreased the likelihood of transportation. Approximately 43% of patients were not transported from the scene. Data from the NEDS survey estimated 258,831 ED admissions for hypoglycemia, and 41% arrived by ambulance. The median ambulance expenditure was $664 ± 98. From the ED, 74% were released. The average ED charge that did not lead to hospital admission was $3106 ± 86. Increased odds of overnight admission included infection and acute renal failure. Conclusions: EMS activations for hypoglycemia are sizeable and yet a considerable proportion of patients are not transported to or are discharged from the ED. Seemingly, these events resolved and were not medically complex. It is possible that implementation and appropriate use of EMS treat-and-release protocols along with utilizing programs to educate patients on hypoglycemia risk factors and emergency preparedness could partially reduce the burden of hypoglycemia to the healthcare system.

Prehospital Pain Management: Disparity By Age and Race.

IMPORTANCE: Historically, pain management in the prehospital setting, specifically pediatric pain management, has been inadequate despite many EMS (emergency medical services) transports related to traumatic injury with pain noted as a symptom. The National Emergency Services Information System (NEMSIS) database offers the largest national repository of prehospital data, and can be used to assess current patterns of EMS pain management across the country. OBJECTIVES: To analyze prehospital management of pain using NEMSIS data, and to assess if variables such as patient age and/or race/ethnicity are associated with disparity in pain treatment. DESIGN/SETTING/PARTICIPANTS: A retrospective descriptive study over a three-year period (2012-2014) of the NEMSIS database for patients evaluated for three potentially painful medical impressions (fracture, burn, penetrating injury) to assess the presence of documented pain as a symptom, and if patients received treatment with analgesic medications. Results were analyzed according to type of pain medication given, age categories, and race/ethnicity of the patients. MAIN OUTCOMES: Percentage of EMS transports documenting the three painful impressions that had pain documented as a symptom, received any of the six pain medications, and the disparity in documentation and treatment by age and race/ethnicity. RESULTS: There were 276,925 EMS records in the NEMSIS database that met inclusion criteria. Pain was listed as a primary or associated symptom for 29.5% of patients, and the youngest children (0-3 years) were least likely to have pain documented as a symptom (14.6%). Only 15.6% of all activations documented the receipt of prehospital pain medications. Children (<15 years) received pain medication 14.8% [95% CI 14.33, 15.34] of the time versus adults (≥15 years) 15.6% [95% CI 15.48, 15.76, p = 0.004]. Morphine and fentanyl were the most commonly administered medications to all age groups. Black patients were less likely to receive pain medication than other racial groups. CONCLUSIONS: Documentation of pain as a symptom and pain treatment continue to be infrequent in the prehospital setting in all age groups, especially young children. There appears to be a racial disparity with Black patients less often treated with analgesics. The broad incorporation of national NEMSIS data suggests that these inadequacies are a widespread challenge deserving further attention.

National Characteristics of Emergency Medical Services Responses for Older Adults in the United States.

OBJECTIVE: Older adults, those aged 65 and older, frequently require emergency care. However, only limited national data describe the Emergency Medical Services (EMS) care provided to older adults. We sought to determine the characteristics of EMS care provided to older adults in the United States. METHODS: We used data from the 2014 National Emergency Medical Services Information System (NEMSIS), encompassing EMS response data from 46 States and territories. We excluded EMS responses for children <18 years, interfacility transports, intercepts, non-emergency medical transports, and standby responses. We defined older adults as age ≥65 years. We compared patient demographics (age, sex, race, primary payer), response characteristics (dispatch time, location type, time intervals), and clinical course (clinical impression, injury, procedures, medications) between older and younger adult EMS emergency 9-1-1 responses. RESULTS: During the study period there were 20,212,245 EMS emergency responses. Among the 16,116,219 adult EMS responses, there were 6,569,064 (40.76%) older and 9,547,155 (59.24%) younger adults. Older EMS patients were more likely to be white and the EMS incident to be located in healthcare facilities (clinic, hospital, nursing home). Compared with younger patients, older EMS patients were more likely to present with syncope (5.68% vs. 3.40%; OR 1.71; CI: 1.71-1.72), cardiac arrest/rhythm disturbance (3.27% vs. 1.69%; OR 1.97; CI: 1.96-1.98), stroke (2.18% vs. 0.74%; OR 2.99; CI: 2.96-3.02) and shock (0.77% vs. 0.38%; OR 2.02; CI: 2.00-2.04). Common EMS interventions performed on older persons included intravenous access (32.02%), 12-lead ECG (14.37%), CPR (0.87%), and intubation (2.00%). The most common EMS drugs administered to older persons included epinephrine, atropine, furosemide, amiodarone, and albuterol or ipratropium. CONCLUSION: One of every three U.S. EMS emergency responses involves older adults. EMS personnel must be prepared to care for the older patient.