OBJECTIVE: We evaluated the on-scene time of emergency medical services (EMS) for cases where discrimination between acute stroke and epileptic seizures at the initial examination was difficult and identified factors linked to delays in such scenarios.
METHODS: A retrospective review of cases with suspected seizure using the EMS database of fire departments across six Japanese cities between 2016 and 2021 was conducted. Patient classification was based on transport codes. We defined cases with stroke-suspected seizure as those in whom epileptic seizure was difficult to differentiate from stroke and evaluated their EMS on-scene time compared to those with epileptic seizures.
RESULTS: Among 30,439 cases with any seizures, 292 cases of stroke-suspected seizure and 8,737 cases of epileptic seizure were included. EMS on-scene time in cases of stroke-suspected seizure was shorter than in those with epileptic seizure after propensity score matching (15.1±7.2 min vs. 17.0±9.0 min; p = 0.007). Factors associated with delays included transport during nighttime (odds ratio [OR], 1.73, 95 % confidence interval [CI] 1.02-2.93, p = 0.041) and transport during the 2020-2021 pandemic (OR, 1.77, 95 % CI 1.08-2.90, p = 0.022).
CONCLUSIONS: This study highlighted the difference between the characteristics in EMS for stroke and epileptic seizure by evaluating the response to cases with stroke-suspected seizure. Facilitating prompt and smooth transfers of such cases to an appropriate medical facility after admission could optimize the operation of specialized medical resources.

BACKGROUND: For out-of-hospital cardiac arrests (OHCAs), time is of the essence. While the relationship between EMS response time (ERT) and OHCA outcomes is well studied, a more comprehensive assessment of the effects of other intervention time is needed, which is essential to guide clinical practice.
OBJECTIVE: Evaluating how a longer total pre-hospital time (TPT), ERT, advance life support response time (ART) and EMS cardiopulmonary resuscitation time (ECT) increase the mortality rates, unfavorable neurological outcomes, and severe complications at discharge of OHCAs.
METHODS: 31,926 OHCAs from the USA and Canada were identified in Resuscitation Outcomes Consortium Epidemiologic Registry. Twelve adjusted models were used to analyze the relationship between the prehospital time (TPT, ERT, ART and ECT) and three outcomes (in hospital mortality, unfavorable neurological outcomes, and severe complications for surviving OHCAs).
RESULTS: Every 10-min increase in TPT was associated with a 0.14-fold increase in the risk of death (adjusted odds ratio [OR] = 1.14, 95 % confidence interval [CI] = 1.10-1.17) and a 0.13-fold increase of adverse neurological outcomes (OR = 1.13, CI =1.08-1.18). The risk of patient mortality markedly increased with every 5 min increase in ERT (OR = 1.36, CI = 1.26-1.47), ART (OR =1.10, CI = 1.06-1.15), and ECT (OR = 1.46, CI = 1.37-1.56). Adverse neurological outcome was associated with ERT and ECT, and severe complications with ERT and ART.
CONCLUSIONS: Prolonged prehospital time, particularly ERT and ECT, are closely associated with in-hospital mortality, unfavorable neurological functions, and severe complications at discharge in OHCAs.

UNASSIGNED: In the current era of the coronavirus disease 2019 (COVID-19) pandemic, the responsiveness of emergency medical service (EMS) transport for patients with internal illness is often delayed. However, the influence of the COVID-19 pandemic on prehospital transport for patients with trauma has not yet been fully elucidated. This study aims to examine the effect of COVID-19 case surges on EMS transport for patients with trauma during the COVID-19 states of emergency in Kobe, Japan.
UNASSIGNED: EMS data during the states of emergency were compared with those in the 2019 prepandemic period. The incidence of difficulty securing hospital acceptance (four or more calls to medical institutions and ambulance staying at the scene for 30 min or more) was evaluated as a primary outcome. Secondary outcomes were the time spent at the trauma scene and the number of calls requesting hospital acceptance. The time spent at the trauma scene was stratified by trauma severity.
UNASSIGNED: The incidence of difficulty securing hospital acceptance increased (1.2% versus 3.2%, P < 0.01). Logistic regression analysis revealed that the duration of the states of emergency was associated with difficulty securing hospital acceptance (odds ratio [OR] 2.08, 95% confidence interval 1.77-2.45; P < 0.01). Although the mean time spent at the trauma scene among the less severe, moderately severe, and severe trauma groups was prolonged, the time for the life-threatening group did not change. The number of request calls increased during the states of emergency.
UNASSIGNED: Difficulty securing hospital acceptance increased; however, the time spent at the trauma scene did not significantly change for the life-threatening group.

OBJECTIVE: Emergency Medical Services can help improve stroke outcomes by recognizing stroke symptoms, establishing response priority for 911 calls, and minimizing prehospital delays. This study examines 911 stroke events and evaluates associations between events dispatched as stroke and critical EMS time intervals.
METHODS: Data from the National Emergency Medical Services Information System, 2012 to 2016, were analyzed. Activations from 911 calls with a primary or secondary provider impression of stroke were included for adult patients transported to a hospital destination. Three prehospital time intervals were evaluated: (1) response time (RT) ≤8 min, (2) on-scene time (OST) ≤15 min, and (3) transport time (TT) ≤12 min. Associations between stroke dispatch complaint and prehospital time intervals were assessed using multivariate regression to estimate adjusted risk ratios (ARR) and 95% confidence intervals (CIs).
RESULTS: Approximately 37% of stroke dispatch complaints were identified by EMS as a suspected stroke. Compared to stroke events without a stroke dispatch complaint, median OST was shorter for events with a stroke dispatch (16 min vs. 14 min, respectively). In adjusted analyses, events dispatched as stroke were more likely to meet the EMS time benchmark for OST ≤15 min (OST, 1.20 [1.20-1.21]), but not RT or TT (RT, [1.00-1.01]; TT, 0.95 [0.94-0.95]).
CONCLUSIONS: Our results indicate that dispatcher recognition of stroke symptoms reduces the time spent on-scene by EMS personnel. These findings can inform future EMS stroke education and quality improvement efforts to emphasize dispatcher recognition of stroke signs and symptoms, as EMS dispatchers play a crucial role in optimizing the prehospital response.

The time from injury to treatment is considered as one of the major determinants for patient outcome after trauma. Previous studies already attempted to investigate the correlation between prehospital time and trauma patient outcome. However, the outcome for severely injured patients is not clear yet, as little data is available from prehospital systems with both Emergency Medical Services (EMS) and physician staffed Helicopter Emergency Medical Services (HEMS). Therefore, the aim was to investigate the association between prehospital time and mortality in polytrauma patients in a Dutch level I trauma center.
A retrospective study was performed using data derived from the Dutch trauma registry of the National Network for Acute Care from Amsterdam UMC location VUmc over a 2-year period. Severely injured polytrauma patients (Injury Severity Score (ISS) ≥ 16), who were treated on-scene by EMS or both EMS and HEMS and transported to our level I trauma center, were included. Patient characteristics, prehospital time, comorbidity, mechanism of injury, type of injury, HEMS assistance, prehospital Glasgow Coma Score and ISS were analyzed using logistic regression analysis. The outcome measure was in-hospital mortality.
In total, 342 polytrauma patients were included in the analysis. The total mortality rate was 25.7% (n = 88). Similar mean prehospital times were found between the surviving and non-surviving patient groups, 45.3 min (SD 14.4) and 44.9 min (SD 13.2) respectively (p = 0.819). The confounder-adjusted analysis revealed no significant association between prehospital time and mortality (p = 0.156).
This analysis found no association between prehospital time and mortality in polytrauma patients. Future research is recommended to explore factors of influence on prehospital time and mortality.

OBJECTIVE: Prehospital time affects survival in trauma patients. Mass casualty incidents (MCIs) are overwhelming events where medical care exceeds available resources. This study aimed at evaluating the prehospital time during MCIs and investigating the effect of triage.
METHODS: A retrospective analysis was performed using Florida\'s Event Medical Services Tracking and Reporting System database. All patients involved in MCIs during 2018 were accessed, and prehospital time intervals were evaluated and compared to that of non-MCIs. The effect of MCI triage and field triage (Field Triage Criteria) on prehospital time was evaluated.
RESULTS: In 2018, it was estimated that 2236 unique MCIs occurred in Florida, with a crude incidence of 10.1-10.9/100000 people. 2180 EMS units arrived at the hospital for patient disposition with a median alarm-to-hospital time of 43.74 minutes, significantly longer than non-MCIs (39.15 min; P < 0.001). MCI triage and field triage were both associated with shorter alarm-to-hospital time (39.37 min and 37.55 min, respectively).
CONCLUSIONS: MCIs resulted in longer prehospital time intervals than non-MCIs. This finding suggests that additional efforts are needed to reduce the prehospital time for MCI patients. MCI triage and field triage were both associated with shorter alarm-to-hospital times. Widespread use may improve prehospital MCI care.

BACKGROUND: National guidelines do not provide recommendations concerning optimal dispatch time for helicopter emergency medical services (HEMS) in the United States.
OBJECTIVE: This study describes the association between mode of transport (ground vs. helicopter) and survival of patients with penetrating injury across different prehospital time intervals and proposes evidence-based time-related dispatch criteria for HEMS.
METHODS: A retrospective matched cohort study was conducted using the 2015 National Trauma Data Bank. Adult patients (age ≥ 16 years) with penetrating injuries were included. Patients transported via HEMS were selected and matched (1 to 1) for 17 variables to patients transported by ground ambulance (GEMS). Bivariate analyses were conducted to compare characteristics and outcomes (survival to hospital discharge) of patients across different prehospital time intervals.
RESULTS: Each group consisted of 949 patients. Overall survival rate was similar in both groups (90.6% for HEMS vs. 87.9% for GEMS, p = 0.054). Patients transported by HEMS had significantly higher survival compared with those transported by GEMS (92.5% for HEMS vs. 87.0% for GEMS, p = 0.002) in the 0-60-min time interval from dispatch to arrival to hospital, and more specifically, in the 31-60-min interval (92.2% vs. 85.2%, p = 0.001). No difference in survival between the two groups was observed in the shortest (0-30 min) or in the extended prehospital time intervals (>60 min).
CONCLUSIONS: In adult patients with penetrating trauma, HEMS transport was associated with improved survival in a specific total prehospital time interval (31 to 60 min). This finding can help emergency medicine service administrators develop evidence-based HEMS dispatch criteria.

BACKGROUND: Per police data, the case fatality rate (CFR) of firearm assault in New Orleans (NO) over the last several years ranged between 27% and 35%, compared with 18%-22% in Philadelphia. The reasons for this disparity are unknown, and potentially reflect important system differences with broader implications for the reduction of firearm mortality.
METHODS: A retrospective analysis of police and city-specific trauma databases between 2012 and 2017 was performed. Victims of firearm assaults within city limits were included. Univariate analysis was performed using chi-square for categorical and t-test for continuous variables. Bivariate analysis was conducted using logistic regression.
RESULTS: Per police data, the CFR of firearm assault was 31% in NO and 20% in Philadelphia. However, per trauma registry data, the CFR of firearm assault was 14% in NO and 25% in Philadelphia. Patients in Philadelphia were older, had higher injury severity score, and lower blood pressure. Patients in NO had higher rates of head injury. 51% of patients in Philadelphia arrived via police compared to <1% in NO. There was no mortality difference between police and emergency medical service (EMS) transport. Longer EMS prehospital times were associated with increased mortality in NO but not Philadelphia. A much larger percentage of patients died on-scene in NO than Philadelphia.
CONCLUSIONS: Our findings suggest that the major driver of increased mortality following firearm assault in NO compared with Philadelphia is death prior to the arrival of first responders. Interventions that shorten prehospital time will likely have the greatest impact on mortality in NO. This should include the consideration of police transport.

BACKGROUND: Although the results of previous studies suggested the effectiveness of physician-led prehospital trauma management, it has been uncertain because of the limited number of high-quality studies. Furthermore, the advantage of physician-led prehospital management might have been overestimated due to the shortened prehospital time by helicopter transportation in some studies. The present study aimed to evaluate the effect of physician-led prehospital management independent of prehospital time. Also, subgroup analysis was performed to explore the subpopulation that especially benefit from physician-led prehospital management.
METHODS: This retrospective cohort study analyzed the data of Japan\'s nationwide trauma registry. Severe blunt trauma patients, defined by Injury Severity Score (ISS) ≥16, who were transported directly to a hospital between April 2009 and March 2019 were evaluated. In-hospital mortality was compared between groups dichotomized by the occupation of primary prehospital healthcare provider (i.e., physician or paramedic), using 1:4 propensity score-matched analysis. The propensity score was calculated using potential confounders including patient demographics, mechanism of injury, vital signs at the scene of injury, ISS, and total time from injury to hospital arrival. Subpopulations that especially benefit from physician-led prehospital management were explored by assessing interaction effects between physician-led prehospital management and patient characteristics.
RESULTS: A total of 30,551 patients (physician-led: 2976, paramedic-led: 27,575) were eligible for analysis, of whom 2690 propensity score-matched pairs (physician-led: 2690, paramedic-led: 10,760) were generated and compared. Physician-led group showed significantly decreased in-hospital mortality than paramedic-led group (in-hospital mortality: 387 [14.4%] and 1718 [16.0%]; odds ratio [95% confidence interval] = 0.88 [0.78-1.00], p = 0.044). Patients with age < 65 years, ISS ≥25, Abbreviated Injury Scale in pelvis and lower extremities ≥3, and total prehospital time < 60 min were likely to benefit from physician-led prehospital management.
CONCLUSIONS: Physician-led prehospital trauma management was significantly associated with reduced in-hospital mortality independent of prehospital time. The findings of exploratory subgroup analysis would be useful for the future research to establish efficient dispatch system of physician team.

BACKGROUND: Annually, over 1 billion people sustain traumatic injuries, resulting in over 900,000 deaths in Africa and 6 million deaths globally. Timely response, intervention, and transportation in the prehospital setting reduce morbidity and mortality of trauma victims. Our objective was to describe the existing literature evaluating trauma morbidity and mortality outcomes as a function of prehospital care time to identify gaps in literature and inform future investigation.
METHODS: We performed a scoping review of published literature in MEDLINE. Results were limited to English language publications from 2009 to 2020. Included articles reported trauma outcomes and prehospital time. We excluded case reports, reviews, systematic reviews, meta-analyses, comments, editorials, letters, and conference proceedings. In total, 808 articles were identified for title and abstract review. Of those, 96 articles met all inclusion criteria and were fully reviewed. Higher quality studies used data derived from trauma registries. There was a paucity of literature from studies in low- and middle-income countries (LMIC), with only 3 (3%) of articles explicitly including African populations. Mortality was an outcome measure in 93% of articles, predominantly defined as \"in-hospital mortality\" as opposed to mortality within a specified time frame. Prehospital time was most commonly assessed as crude time from EMS dispatch to arrival at a tertiary trauma center. Few studies evaluated physiologic morbidity outcomes such as multi-organ failure.
CONCLUSIONS: The existing literature disproportionately represents high-income settings and most commonly assessed in-hospital mortality as a function of crude prehospital time. Future studies should focus on how specific prehospital intervals impact morbidity outcomes (e.g., organ failure) and mortality at earlier time points (e.g., 3 or 7 days) to better reflect the effect of early prehospital resuscitation and transport. Trauma registries may be a tool to facilitate such research and may promote higher quality investigations in Africa and LMICs.