On the issue of emergency medical service transportation support: relevance and research directions

Objectives Pediatric farm injuries tend to be more severe and have poorer outcomes compared to injuries sustained in non-farm settings. Timely emergency medical service (EMS) response and transport to definitive care is crucial for optimizing outcomes for trauma patients. We aimed to determine if pediatric farm injuries were associated with longer EMS response and transport times compared to pediatric non-farm injuries in rural communities. Methods The 2021 National EMS Information System (NEMSIS) database was used to identify rural EMS activations where injured pediatric patients who were transported to a hospital. Median transport times for farm and non-farm injuries, as well as other components of prehospital time and use of air EMS transport, were compared between injuries on farms and injuries in non-farm rural settings. Results The analytic sample included 22,248 rural EMS activations for pediatric injuries, of which 156 (1%) were for pediatric farm injuries. For non-farm and farm injuries, the median transport times were 20 minutes and 28 minutes, respectively. Median total prehospital time was 50 minutes compared to 62 minutes, and 9.8% of patients with non-farm injuries versus 20.5% of those with farm injuries were transported to a hospital by air EMS units. After multivariable adjustment, farm vs. non-farm injury location was associated with a 4 minute increase in EMS transport time, but no difference in initial EMS response time, EMS time on scene, or use of air EMS units. Conclusion Among children sustaining an injury that resulted in rural EMS activation, farm injuries were associated with prolonged transport time compared to non-farm injuries, which may contribute to worse in-hospital outcomes described to pediatric farm injuries in prior research.

Objective This study was to examine characteristics concerning frequent users of emergency medical services (EMS) transport by comparing patients who used EMS transport frequently for one year and those who used EMS transport for more than two years consecutively. Methods A retrospective review for frequent use of EMS transport was conducted. The patients from the fire stations that transported more than 70% of all EMS transport to the study hospital emergency department (ED) were included. The study subjects were divided into consecutive group (frequent EMS transport for ≥ two years consecutively) and non-consecutive group (frequent EMS transport for only one year). Characteristics of patients who were frequent users of EMS transport and those of all cases with EMS transport were examined. Results Of the total 205 patients and 1204 cases of frequent EMS transport, 85 (42%) patients and 755 (63%) cases were in the consecutive group. Patients in the consecutive group were more likely to have risky alcohol use, unemployed state, and medical aid type of payment for ED treatment than those in the non-consecutive group. More patients had previous experience of EMS transport to the study hospital ED in the consecutive group and the number of cases with alcohol ingestion was higher in the consecutive group. Elapsed time from EMS call to ED arrival was longer for the consecutive group. Conclusion Risky alcohol use, unemployed state, and previous experience of EMS transport were associated with consecutive and frequent use of EMS transport in frequent users of EMS transport.

BackgroundIn the medical management of acute myocardial infarction, the transport of patients and primary care provided by emergency medical technicians (EMTs) and paramedics are effective in reducing the mortality and disabilities. Therefore, the present study aimed to compare the outcomes of emergency medical services (EMS) vs. non-EMS transport of patients with ST-segment elevation myocardial infarction (STEMI) in southern Iran.MethodsThis is an analytical, cross-sectional study. The study population consisted of the individuals registered in Fasa Registry on Acute Myocardial Infarction (FaRMI) in the south of Iran. 2244 patients with STEMI were included in the study. Statistical analyses were performed using Chi-Square test and independent t-test at a significance level of P < 0.05 in SPSS 22.ResultsOut of the 2244 patients with STEMI, 1552 (69.16%) were male and 672 patients (29.94%) were female. 934(41.62%) patients used EMS transport to the hospital, while 1310 (58.37%) patients used non-EMS transport to the hospital. A total of 169 patients with STEMI (7.26%) expired (out-of-hospital cardiac arrest); of them, 113 (66.86%) patients did not use EMS transport to the hospital. Successful cardiopulmonary resuscitation (CPR) was performed on 52 patients who used EMS transport. 27 patients also received an effective DC shock due to ventricular fibrillation (VF). Of the total number of patients, 49 had a stroke; among them, 37(75.51%) patients did not use EMS transport.ConclusionIn the present study, the death rate in patients with acute myocardial infarction who used EMS transport was lower than those who used non-EMS transport. The health system managers and policymakers in the healthcare systems are recommended to take the necessary measures to increase public health awareness and knowledge about the use of EMS and consequently reduce the death rate and complications of acute myocardial infarction.

Introduction: In 2018, the Los Angeles County (LAC) model for routing of Emergency Medical Service (EMS) transports of suspected large vessel occlusion stroke patients changed from transport to the nearest primary stroke center to transport directly to the nearest CSC. While the goal is to reduce transport time to a center with a high level of stroke care, it is not known how CSCs relate spatially to EMS transports for suspected strokes. Hypothesis: Patients in LAC requiring EMS transport for suspected acute stroke do not have uniform access to CSCs. Methods: This is a retrospective spatial analysis of the locations of EMS suspected acute stroke transports between Jan 1, 2012 and Sept 30, 2017. Data on the origin locations of EMS transports was obtained from the LAC EMS agency and compared to the locations of the 16 CSCs in LAC. Access to a CSC was defined using circular spatial buffers of various sizes centered on each CSC. All studies were performed using the R programing language extended by the SP, lubridate, rgdal, and tidyverse packages, and were approved by local IRB. Results: Of the 25,597 EMS stroke transports 22,585 had exact spatial coordinates. Of these, 17,539 (77.7%) originated within 10Km of a CSC. Figure 1 shows CSCs clustered in the southern aspect of LAC, with highly heterogenous transports across LAC. A large concentration of northern LAC transports are far from CSCs. Conclusions: While most EMS transports for suspected acute stroke in LAC originate in areas with good access to CSCs, the geospatial distribution of EMS transports is heterogeneous and includes an area in northern LAC with little to no CSC access. Further work is needed to understand the characteristics of acute stroke in this northern area, to understand how these differences in access may result in differences in time to definitive therapy and patient outcomes, to identify strategies for improving CSC access, and highlights the utility of using EMS transport data to inform stroke care policy.

Since early treatment of acute stroke is associated with an improved outcome, emergency medical service (EMS) transport of stroke patients is recommended. It remains unclear, however, whether EMS transport leads to faster treatment. The impact of the transport mode on pre- and in-hospital processes of care was therefore investigated. The present study was based on a prospective database of 158 hospitals of the Stroke Register of Northwestern Germany, which included 162,511 stroke patients admitted between January 2010 and December 2011. Main outcome measures were the baseline characteristics associated with EMS transport and process-of-care indicators according to the transport mode. Overall, 101,850 (72.0%) patients were transported by EMS and 39,324 (28.0%) by self-transport. The baseline characteristics showing the strongest associations with EMS use were the care situation [institutional care, adjusted odds ratio (OR) 7.81; 95% CI 6.86-8.90], a disturbed level of consciousness (adjusted OR 3.00; 95% CI 2.59-3.48) and having a subarachnoid (adjusted OR 2.79; 95% CI 2.24-3.49) or intracerebral hemorrhage (adjusted OR 2.26; 95% CI 1.92-2.67). For self-transport patients the probability of being in a higher onset-to-door time category was 4.36 (95% CI 4.26-4.47) and the probability of being in a higher door-to-imaging time category was 1.32 (95% CI 1.28-1.36). Compared with self-transport, EMS transport was independently associated with thrombolysis (adjusted OR 1.95, 95% CI 1.77-2.15). Patient transport with EMS was independently associated with faster hospital arrival and shorter time periods from hospital admission to brain imaging and to the frequency of thrombolysis.

Evidence from national studies indicates systematic differences in hospitals in which racial/ethnic minorities receive care, with most care obtained in a small proportion of hospitals. Little is known about the source of these differences. To examine the patterns of emergency department (ED) destination of emergency medical services (EMS) transport according to patient race/ethnicity, and to compare the patterns between those transported by EMS and those who did not use EMS. This cohort study of US EMS and EDs used Medicare claims data from January 1, 2006, to December 31, 2012. Enrollees aged 66 years or older with continuous fee-for-service Medicare coverage (N = 864 750) were selected for the sample. Zip codes with a sizable count (>10) of Hispanic, non-Hispanic black, and non-Hispanic white enrollees were used for comparison of EMS use across racial/ethnic subgroups. Data on all ED visits, with and without EMS use, were obtained. Data analysis was performed from December 18, 2018, to July 7, 2019. The main outcome measure was whether an EMS transport destination was the most frequent ED destination among white patients (reference ED). The secondary outcomes were (1) whether the ED destination was a safety-net hospital and (2) the distance of EMS transport from the ED destination. The study cohort comprised 864 750 Medicare enrollees from 4175 selected zip codes who had 458 701 ED visits using EMS transport. Of these EMS-transported enrollees, 26.1% (127 555) were younger than 75 years, and most were women (302 430 [66.8%]). Overall, the proportion of white patients transported to the reference ED was 61.3% (95% CI, 61.0% to 61.7%); this rate was lower among black enrollees (difference of -5.3%; 95% CI, -6.0% to -4.6%) and Hispanic enrollees (difference of -2.5%; 95% CI, -3.2% to -1.7%). A similar pattern was found among patients with high-risk acute conditions; the proportion transported to the reference ED was 61.5% (95% CI, 60.7% to 62.2%) among white enrollees, whereas this proportion was lower among black enrollees (difference of -6.7%; 95% CI, -8.3% to -5.0%) and Hispanic enrollees (difference of -2.6%; 95% CI, -4.5% to -0.7%). In major US cities, a larger black-white discordance in ED destination was observed (-9.3%; 95% CI, -10.9% to -7.7%). Black and Hispanic patients were more likely to be transported to a safety-net ED compared with their white counterparts; the proportion transported to a safety-net ED among white enrollees (18.5%; 95% CI, 18.1% to 18.7%) was lower compared with that among black enrollees (difference of 2.7%; 95% CI, 2.2% to 3.2%) and Hispanic enrollees (difference of 1.9%; 95% CI, 1.3% to 2.4%). Concordance rates of non-EMS-transported ED visits were statistically significantly lower than for EMS-transported ED visits; the concordance rate among white enrollees of 52.9% (95% CI, 52.1% to 53.6%) was higher compared with that among black enrollees (difference of -4.8%; 95% CI, -6.4% to -3.3%) and Hispanic enrollees (difference of -3.0%; 95% CI, -4.7% to -1.3%). This study found race/ethnicity variation in ED destination for patients using EMS transport, with black and Hispanic patients more likely to be transported to a safety-net hospital ED compared with white patients living in the same zip code.

Objectives: Although life-threatening emergencies for cancer patients are relatively rare, cancer patients often seek care in the emergency department. The use of emergency medical service (EMS) by these patients is not well studied. The aim of this study was to investigate the characteristics of cancer patients who present to the emergency department (ED) for care and compare characteristics of patients transported by EMS vs. those transported by private vehicle. Methods: Our retrospective cohort study was conducted in an EMS system with 21,070 annual transports and an academic ED with 129,263 annual visits. Our study consisted of patients with a new diagnosis of cancer between January 1 and July 1, 2015 who subsequently presented to the ED between January 1, 2015 and July 1, 2017. Study variables included patient demographics, mode of ED arrival, cancer type and treatment, patient clinical characteristics, and disposition. To describe differences in patient characteristics of EMS vs. private vehicle transport, we report variable frequencies and stratified them by mode of transport. Results: Of the 2,727 patients with a new diagnosis of cancer, 1,303 (47.8%) presented to the ED with a total of 3,590 visits in 30 months. EMS transported 22% of cancer patients to the ED vs. 78% transported by private vehicle. Thus, cancer patients would make up approximately 1.5% (781/52,675) of all EMS transports during the study period. For those transported by EMS, the most common chief complaints were respiratory distress (16.0%), pain (15.4%), and neurological symptoms (12.6%). Patients with cancer of the lung/respiratory tract (21.5%), upper GI (12.4%), and central nervous system (CNS) (11.0%) were most frequently transported by EMS. Older age, presence of CNS cancer, presentation with neurological or cardiovascular complaints, and higher acuity were significantly associated with EMS transport to ED, while gender and pain severity were not. Patients transported by EMS were more likely to be hospitalized and for greater than 2 days (p < 0.0001). Conclusions: Cancer patients frequently seek emergency care after initial diagnosis, most commonly present for symptom relief, and are often admitted. Patients transported by EMS are more likely to be admitted and for longer periods of time.

Emergency medical service transport-induced stress? An experimental approach with healthy volunteers

Unnecessary Emergency Medical Services Transports of Geriatric Patients in a Tertiary Hospital in South Korea

OBJECTIVE Emergency department (ED) capabilities, such as trauma center or stroke center designation, are key to understanding the effects of emergency medical services (EMS) transport destination decisions on patient outcomes. In current EMS datasets, ED capabilities are self-reported by the EMS clinician or agency. The reliability and validity of the EMS-reported ED capabilities is unknown. Our objective was to link EMS transport destinations with verified ED capability data to develop a novel national dataset to better understand prehospital routing practices. METHODS We linked two cross-sectional databases: the 2021 ESO Data Collaborative and the 2021 National Emergency Department Inventory (NEDI)-USA. The ESO Data Collaborative contains de-identified prehospital patient care records from nearly 2,000 participating EMS agencies across the United States. The NEDI-USA is a survey of all nonfederal, non-specialty U.S. EDs open 24/7/365 (including freestanding EDs), with verified stroke, trauma, and burn capability data. From EMS records, we obtained all unique destinations designated as “hospital” as of 2021. After verifying addresses were NEDI-eligible EDs (i.e., providing emergency services 24/7/365), we performed a 3-step linkage process to NEDI-USA: (1) name/address exact matches; (2) probabilistic matching on name/address based on bigrams, accepting adequate (>85%) match scores after review; and (3) hand-matching using Google Maps. We calculated descriptive statistics to describe the linkage process. RESULTS Of the 9,420 unique “hospital” destinations in the EMS dataset, 2,714 (29%) were non-hospital facilities (e.g., nursing home) or were non-NEDI-eligible (e.g., specialty hospital such as a psychiatric facility). We linked 98% (n = 6,605/6,706) of NEDI-eligible EMS hospital transport destinations to EDs in NEDI-USA. Excluding duplicate addresses for a single hospital (e.g., ED address versus main entrance address), the linked addresses represented 3,877 unique EDs in 49 states, which included 68% (n = 3,821/5,580) of the EDs included in the 2021 NEDI-USA database. CONCLUSIONS We successfully linked 98% of EMS ED transport destinations to verified ED capability information. This novel linked dataset now includes rich destination capability information associated with each EMS transport that can be leveraged for describing and improving routing practices for specific patient conditions, such as patients with stroke-like symptoms to stroke centers or major traumas to verified trauma centers.

251 Emergency Department Arrival by Ambulance for Patients Receiving a Pulmonary Embolism Diagnosis Is Associated With Hospitalization: Is Coming from Off-site Radiology an Exception?

This study describes the local Emergency Medical Services (EMS) response and patient encounters corresponding to the civil unrest occurring over a four-day period in Spring 2020 in Indianapolis, Indiana (USA). This study describes the non-conventional EMS response to civil unrest. The study included patients encountered by EMS in the area of the civil unrest occurring in Indianapolis, Indiana from May 29 through June 1, 2020. The area of civil unrest defined by Indianapolis Metropolitan Police Department covered 15 blocks by 12 blocks (roughly 4.0 square miles) and included central Indianapolis. The study analyzed records and collected demographics, scene times, interventions, dispositions, EMS clinician narratives, transport destinations, and hospital course with outcomes from receiving hospitals for patients extracted from the area of civil unrest by EMS. Twenty-nine patients were included with ages ranging from two to sixty-eight years. In total, EMS transported 72.4% (21 of 29) of the patients, with the remainder declining transport. Ballistic injuries from gun violence accounted for 10.3% (3 of 29) of injuries. Two additional fatalities from penetrating trauma occurred among patients without EMS contact within and during the civil unrest. Conditions not involving trauma occurred in 37.9% (11 of 29). Among transported patients, 33.3% (7 of 21) were admitted to the hospital and there was one fatality. While most EMS transports did not result in hospitalization, it is important to note that the majority of EMS calls did result in a transport. There was a substantial amount of non-traumatic patient encounters. Trauma in many of the encounters was relatively severe, and the findings imply the need for rapid extraction methods from dangerous areas to facilitate timely in-hospital stabilization.

P166 Introduction: Our hypothesis is that the total time between a 911 call and arrival at the Emergency Department (ED)(EMS time) varies by the socio-demographics of a stroke patient’s ZIP code, controlling for distance to the ED (EMS distance). This study considers an urban African-American (AA) population. Methods: We identified all hospitalized and autopsied strokes/TIAs between 1/1/93 and 6/30/93 for AA residents in the Greater Cincinnati/ Northern Kentucky area. Address and timing of stroke and emergency care were abstracted from the medical chart. We obtained socio-demographic data for the ZIP code of residence from 1990 Census files: income, % AA, % on public assistance, and % below poverty. Location of residence and ED and estimation of EMS distance were calculated using ARCVIEW software. Linear regression was used for analysis. Results: Of 352 strokes, 268 occurred at home, 123 used EMS transport, and 81 had complete time data. Longer EMS time was associated with percent of the residents in the ZIP code on public assistance (p=.03), controlling for EMS distance (p=.02, Table). No other personal or socio-demographic attributes of the ZIP code were significant. Conclusion: ZIP codes with a higher percentage of residents on public assistance had significantly longer EMS times than ZIP codes with a lower percentage. Issues that may influence this relationship will be discussed.

Background: Emergency medical services (EMS) transportation of a potential stroke patient may provide a means of reducing evaluation and treatment times and improve fibrinolytic treatment rates; yet, state-level data have not been linked to diagnosis at discharge and clinical outcomes. Objectives: To link the South Carolina (SC) statewide EMS database with hospital discharge diagnosis and evaluate the impact of EMS transportation in improving identification and treatment of acute stroke. Methods: A retrospective analysis was conducted of the statewide EMS database linked with statewide hospital discharge records stored at SC Department of Health and Environmental Control, for the calendar year 2010. Patients with a discharge diagnosis of stroke were included in the analysis. Patients transported via EMS were compared with patients not transported by EMS. Variables considered included patient demographics, transportation time, location/ type of destination hospital and treatment with intravenous tissue plasminogen activator (tPA). Results: In the year 2010, 18,962 hospitalized patients in SC were assigned a primary discharge diagnosis of stroke. Of these, 36% (6,824) were transported via EMS. The average time from 911 call to hospital arrival was 44.6 minutes. Time from 911 calls to EMS on scene was on average of 1.2 minutes longer for patients residing in rural areas than those in urban areas. About 48% of all stroke cases were treated in primary stroke centers (PSCs) and 4.3% of all ischemic cases received thrombolytic therapy. EMS identification of stroke signs and symptoms was associated with shorter transfer times and a higher transfer rate to a PSC than cases whose symptoms were not identified as stroke by EMS (50% vs. 43% for all strokes, P&lt;0.001; 50% vs. 41% for ischemic strokes, P&lt;0.001). For patients with ischemic stroke, EMS identification of stroke resulted in a markedly higher tPA treatment rate (10.9%) than cases whose symptoms were not identified as stroke by EMS (3.6%) and cases arriving by private vehicles (3.5%, P&lt;0.001). Conclusions: EMS identification of stroke signs and symptoms was associated with increased rate of transportation to PSCs and fibrinolytic treatment for ischemic stroke.

Adherence to Guidelines by Emergency Medical Services During Transport of Stroke Patients Receiving Intravenous Thrombolytic Infusion