An evaluation of emergency medical services stroke protocols and scene times

A Spatial Variation Analysis of In-Hospital Stroke Mortality Based on Integrated Pre-Hospital and Hospital Data in Mashhad, Iran

BACKGROUND

Despite significant advances in the quality and delivery of specialized stroke care, there still persist remarkable spatial variations in emergency medical services (EMS) transport delays, stroke incidence, and its outcomes. Therefore, it is very important to investigate the possible geographical variations of in-hospital stroke mortality and to identify its associated factors.

METHODS

This historical cohort study included suspected stroke cases transferred to Ghaem Hospital of Mashhad by the EMS from March 2018 to March 2019. Using emergency mission IDs, the pre-hospital emergency data were integrated with the patient medical records in the hospital. We used the Bayesian approach for estimating the model parameters.

RESULTS

Out of 301 patients (142 (47.2%) females vs. 159 (52.8%) males) with a final diagnosis of stroke, 61 (20.3%) cases had in-hospital mortality. Results from Bayesian spatial log-logistic proportional odds (PO) model showed that age (PO=1.07), access rate to EMS (PO=0.78), arrival time (evening shift vs. day shift, PO=0.09), and sequelae variables (PO=9.20) had a significant association with the odds of in-hospital stroke mortality (P<0.05). Furthermore, the odds of in-hospital stroke mortality were higher in central urban areas compared to suburban areas.

CONCLUSION

Marked regional variations were found in the odds of in-hospital stroke mortality in Mashhad. There was a direct association between age and odds of in-hospital stroke mortality. Hence, the prognosis of in-hospital stroke mortality could be improved by better control of hypertension, prevention of the occurrence of sequelae, increasing the access rate to EMS, and optimizing shift work schedule.

Predictors of in-hospital mortality among patients with symptoms of stroke, Mashhad, Iran: an application of auto-logistic regression model

BACKGROUND

Stroke is the second leading cause of death in adults worldwide. There are remarkable geographical variations in the accessibility to emergency medical services (EMS). Moreover, transport delays have been documented to affect stroke outcomes. This study aimed to examine the spatial variations in in-hospital mortality among patients with symptoms of stroke transferred by EMS, and determine its related factors using the auto-logistic regression model.

METHODS

In this historical cohort study, we included patients with symptoms of stroke transferred to Ghaem Hospital of Mashhad, as the referral center for stroke patients, from April 2018 to March 2019. The auto-logistic regression model was applied to examine the possible geographical variations of in-hospital mortality and its related factors. All analysis was performed using the Statistical Package for the Social Sciences (SPSS, v. 16) and R 4.0.0 software at the significance level of 0.05.

RESULTS

In this study, a total of 1,170 patients with stroke symptoms were included. The overall mortality rate in the hospital was 14.2% and there was an uneven geographical distribution. The results of auto-logistic regression model showed that in-hospital stroke mortality was associated with age (OR = 1.03, 95% CI: 1.01-1.04), accessibility rate of ambulance vehicle (OR = 0.97, 95% CI: 0.94-0.99), final stroke diagnosis (OR = 1.60, 95% CI: 1.07-2.39), triage level (OR = 2.11, 95% CI: 1.31-3.54), and length of stay (LOS) in hospital (OR = 1.02, 95% CI: 1.01-1.04).

CONCLUSION

Our results showed considerable geographical variations in the odds of in-hospital stroke mortality in Mashhad neighborhoods. Also, the age- and sex-adjusted results highlighted the direct association between such variables as accessibility rate of an ambulance, screening time, and LOS in hospital with in-hospital stroke mortality. Thus, the prognosis of in-hospital stroke mortality could be improved by reducing delay time and increasing the EMS access rate.

Community socioeconomic and urban-rural differences in emergency medical services times for suspected stroke in North Carolina

OBJECTIVE

Our objectives were to describe time intervals of EMS encounters for suspected stroke patients in North Carolina (NC) and evaluate differences in EMS time intervals by community socioeconomic status (SES) and rurality.

METHODS

This cross-sectional study used statewide data on EMS encounters of suspected stroke in NC in 2019. Eligible patients were adults requiring EMS transport to a hospital following a 9-1-1 call for stroke-like symptoms. Incident street addresses were geocoded to census tracts and linked to American Community Survey SES data and to rural-urban commuting area (RUCA) codes. Community SES was defined as high, medium, or low based on tertiles of an SES index. Urban, suburban, and rural tracts were defined by RUCA codes 1, 2-6, and 7-10, respectively. Multivariable quantile regression was used to estimate how the median and 90th percentile of EMS time intervals varied by community SES and rurality, adjusting for each other; patient age, gender, and race/ethnicity; and incident characteristics.

RESULTS

We identified 17,117 eligible EMS encounters of suspected stroke from 2028 census tracts. The population was 65% 65+ years old; 55% female; and 69% Non-Hispanic White. Median response, scene, and transport times were 8 (interquartile range, IQR 6-11) min, 16 (IQR 12-20) min, and 14 (IQR 9-22) minutes, respectively. In quantile regression adjusted for patient demographics, minimal differences were observed for median response and scene times by community SES and rurality. The largest median differences were observed for transport times in rural (6.7 min, 95% CI 5.8, 7.6) and suburban (4.7 min, 95% CI 4.2, 5.1) tracts compared to urban tracts. Adjusted rural-urban differences in 90th percentile transport times were substantially greater (16.0 min, 95% CI 14.5, 17.5). Low SES was modesty associated with shorter median (-3.3 min, 95% CI -3.8, -2.9) and 90th percentile (-3.0 min, 95% CI -4.0, -2.0) transport times compared to high SES tracts.

CONCLUSIONS

While community-level factors were not strongly associated with EMS response and scene times for stroke, transport times were significantly longer rural tracts and modestly shorter in low SES tracts, accounting for patient demographics. Further research is needed on the role of community socioeconomic deprivation and rurality in contributing to delays in prehospital stroke care.

Access to acute stroke care: A retrospective descriptive analysis of stroke patients' journey to a district hospital

Introduction

The burden of stroke in Africa has increased in the last two decades, with the population undergoing a rapid epidemiological transition, with a rise in the incidence of stroke risk factors together with the gradual aging of the population. Evidence-based guidelines for acute stroke care are often not feasible in resource challenged settings but even when resources are available, considerable delays to definitive care exists. This study aims to describe the factors that influence time from symptom onset to hospital arrival in patients that present to a district level hospital Emergency Centre with confirmed ischaemic strokes.

Methods

A descriptive analysis was performed using a retrospective folder and database review. All adult patients with a confirmed ischaemic stroke, on Computed Tomography (CT) scan, presenting to Mitchells Plain Hospital Emergency Centre during the study period of 12 months (1st of January 2019 to 31st of December 2019), were eligible for inclusion. Data were collected from existing electronic patient databases and the time from onset of symptoms to hospital arrival was extracted from the clinical notes.

Results

A total of 730 (2%) patients presented with a diagnosis of stroke, of which 381 (52%) were included (CT confirmed ischaemic strokes). Only 48 (13%) presented within 4.5 h of symptom onset and the median time from onset of symptoms to presentation to the hospital was 24 h (IQR 12-72 h). The majority of patients (31%) arrived via a primary public emergency medical service (EMS) call, while 29% presented directly to the hospital as self-referrals with private transport. Primary public EMS calls had the shortest call-to-hospital-arrival time (1 hour and 31 minutes), even though the median time from symptom onset to hospital arrival was still 16 h.

Conclusion

The median time from symptom onset to hospital arrival for patients with stroke symptoms is much longer than what evidence-based guidelines suggest. The chain of survival for emergency stroke care is only as strong as its weakest link and the data from this study suggest that improvement campaigns should target stroke education and access to care.

Time intervals and distances travelled for prehospital ambulance stroke care: data from the randomised-controlled ambulance-based Rapid Intervention with Glyceryl trinitrate in Hypertensive stroke Trial-2 (RIGHT-2)

OBJECTIVES

Ambulances offer the first opportunity to evaluate hyperacute stroke treatments. In this study, we investigated the conduct of a hyperacute stroke study in the ambulance-based setting with a particular focus on timings and logistics of trial delivery.

DESIGN

Multicentre prospective, single-blind, parallel group randomised controlled trial.

SETTING

Eight National Health Service ambulance services in England and Wales; 54 acute stroke centres.

PARTICIPANTS

Paramedics enrolled 1149 patients assessed as likely to have a stroke, with Face, Arm, Speech and Time score (2 or 3), within 4 hours of symptom onset and systolic blood pressure >120 mm Hg.

INTERVENTIONS

Paramedics administered randomly assigned active transdermal glyceryl trinitrate or sham.

PRIMARY AND SECONDARY OUTCOMES

Modified Rankin scale at day 90. This paper focuses on response time intervals, distances travelled and baseline characteristics of patients, compared between ambulance services.

RESULTS

Paramedics enrolled 1149 patients between September 2015 and May 2018.

FINAL DIAGNOSIS

intracerebral haemorrhage 13%, ischaemic stroke 52%, transient ischaemic attack 9% and mimic 26%. Timings (min) were (median (25-75 centile)): onset to emergency call 19 (5-64); onset to randomisation 71 (45-116); total time at scene 33 (26-46); depart scene to hospital 15 (10-23); randomisation to hospital 24 (16-34) and onset to hospital 97 (71-141). Ambulances travelled (km) 10 (4-19) from scene to hospital. Timings and distances differed between ambulance service, for example, onset to randomisation (fastest 53 min, slowest 77 min; p<0.001), distance from scene to hospital (least 4 km, most 20 km; p<0.001).

CONCLUSION

We completed a large prehospital stroke trial involving a simple-to-administer intervention across multiple ambulance services. The time from onset to randomisation and modest distances travelled support the applicability of future large-scale paramedic-delivered ambulance-based stroke trials in urban and rural locations.

TRIAL REGISTRATION NUMBER

ISRCTN26986053.

Prehospital time of suspected stroke patients treated by emergency medical service: a nationwide study in Thailand

Background

This work was to study the prehospital time among suspected stroke patients who were transported by an emergency medical service (EMS) system using a national database.

Methods

National EMS database of suspected stroke patients who were treated by EMS system across 77 provinces of Thailand between January 1, 2015, and December 31, 2018, was retrospectively analyzed. Demographic data (i.e., regions, shifts, levels of ambulance, and distance to the scene) and prehospital time (i.e., dispatch, activation, response, scene, and transportation time) were extracted. Time parameters were also categorized according to the guidelines.

Results

Total 53,536 subjects were included in the analysis. Most of the subjects were transported during 06.00-18.00 (77.5%) and were 10 km from the ambulance parking (80.2%). Half of the subjects (50.1%) were served by advanced life support (ALS) ambulance. Median total time was 29 min (IQR 21, 39). There was a significant difference of median total time among ALS (30 min), basic (27 min), and first responder (28 min) ambulances, Holm P = 0.009. Although 91.7% and 88.3% of the subjects had dispatch time ≤ 1 min and activation time ≤ 2 min, only 48.3% had RT ≤ 8 min. However, 95% of the services were at the scene ≤ 15 min.

Conclusion

Prehospital time from EMS call to hospital was approximately 30 min which was mainly utilized for traveling from the ambulance parking to the scene and transporting patients from the scene to hospitals. Even though only 48% of the services had RT ≤ 8 min, 95% of them had the scene time ≤ 15 min.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12245-021-00361-w.

The Effect of Lights and Sirens on Critical Care Transport Time

BACKGROUND

In the prehospital setting, the use of ambulance lights and sirens (L&S) has been found to result in minor decreases in transport times, but has not been studied in interfacility transportation.

OBJECTIVE

The objective of this study was to evaluate the indications for L&S and the impact of L&S on transport times in interfacility critical care transport.

METHODS

We performed a retrospective analysis using administrative data from a large, urban critical care transportation organization. The indications for L&S were assessed and the transport times with and without L&S were compared using distance matching for common transport routes. Median times were compared for temporal subgroups.

RESULTS

L&S were used in 7.3% of transports and were most strongly associated with transport directly to the operating room (odds ratio 15.8; 95% confidence interval 6.32-39.50; p < 0.001). The timing of the transport was not associated with L&S use. For all transports, there was a significant decrease in the transport time using L&S, with a median of 8 min saved, corresponding to 19.5% of the overall transportation time without L&S (33 vs. 41 min; p < 0.001). The reduction in transport times was consistent across all temporal subgroups, with a greater time reduction during rush hour transports.

CONCLUSIONS

The use of L&S during interfacility critical care transport was associated with a statistically significant time reduction in this urban, single-system retrospective analysis. Although the use of L&S was not associated with rush-hour transports, the greatest time reduction was associated with L&S transport during these hours.

Prehospital time intervals and management of ischemic stroke patients

OBJECTIVE

Quantify prehospital time intervals, describe prehospital stroke management, and estimate potential time saved if certain procedures were performed en route to the emergency department (ED).

METHODS

Acute ischemic stroke patients who arrived via emergency medical services (EMS) between 2012 and 2016 were identified. We determined the following prehospital time intervals: chute, response, on-scene, transport, and total prehospital times. Proportions of patients receiving the following were determined: Cincinnati Prehospital Stroke Scale (CPSS) assessment, prenotification, glucose assessment, vascular access, and 12-lead electrocardiography (ECG). For glucose assessment, ECG acquisition, and vascular access, the location (on-scene vs. en route) in which they were performed was described. Difference in on-scene times among patients who had these three interventions performed on-scene vs. en route was assessed.

RESULTS

Data from 870 patients were analyzed. Median total prehospital time was 39 min and comprised the following: chute time: 1 min; response time: 9 min; on-scene time: 15 min; and transport time: 14 min. CPSS was assessed in 64.7% of patients and prenotification was provided for 52.0% of patients. Glucose assessment, vascular access initiation, and ECG acquisition was performed on 84.1%, 72.6%, and 67.2% of patients, respectively. 59.0% of glucose assessments, 51.2% of vascular access initiations, and 49.8% of ECGs were performed on-scene. On-scene time was 9 min shorter among patients who had glucose assessments, vascular access initiations, and ECG acquisitions all performed en route vs. on-scene.

CONCLUSIONS

On-scene time comprised 38.5% of total prehospital time. Limiting on-scene performance of glucose assessments, vascular access initiations, and ECG acquisitions may decrease prehospital time.

Pre-hospital management of acute stroke patients eligible for thrombolysis - an evaluation of ambulance on-scene time

BACKGROUND

Stroke is a leading cause of death and disability with effective treatment, including thrombolysis or thrombectomy, being time-critical for favourable outcomes. While door-to-needle time in hospital has been optimized for many years, little is known about the ambulance on-scene time (OST). OST has been reported to account for 44% of total alarm-to-door time, thereby being a major time component. We aimed to analyse ambulance OST in stroke patients eligible for thrombolysis and identify potential areas of time optimization.

METHODS

A study-specific registration form was developed to record detailed information about OST consumption in cases where the Emergency Medical Services (EMS) suspected a stroke from July 2014-May 2015. Registration forms were completed by ambulance personnel and included details on estimated time spent: 1) localising patient, 2) clinical examination, 3) consulting with the on-call neurologist, 4) mobilising patient to the ambulance, 5) treatment in ambulance before departure. Additionally, estimated total OST was noted. For patients found eligible for further evaluation at a stroke centre, time points were analysed using multivariate Poisson regressions.

RESULTS

A total of 520 cases were included. The median OST was 21 min (Interquartile Range (IQR) 16-27). Time consumption was significantly lower (17 vs 21 min, p = 0.0015) when electrocardiography (ECG) was obtained in-hospital instead of on-scene, when intravenous (IV) access was established during transportation instead of before transportation (17 vs 21 min, p < 0.0001), and when the quality of communication with the stroke centres was rated as "good" as opposed to "acceptable/poor" (21 vs 23 min, p = 0.014). Neither the presence of relatives nor ambulance trainees had a significant effect on OST.

CONCLUSIONS

In-hospital ECG recording and IV cannulation during transport were found to reduce OST, while "acceptable/poor" communication was found to prolong OST relative to "good" communication. These components of pre-hospital stroke management represent potential opportunities for lowering OST with relatively simple changes, which could ultimately lead to earlier treatment and better patient outcome.

TRIAL REGISTRATION

Unique identifier: NCT02191514 .

Interhospital Transfer Before Thrombectomy Is Associated With Delayed Treatment and Worse Outcome in the STRATIS Registry (Systematic Evaluation of Patients Treated With Neurothrombectomy Devices for Acute Ischemic Stroke)

Supplemental Digital Content is available in the text.

Background:

Endovascular treatment with mechanical thrombectomy (MT) is beneficial for patients with acute stroke suffering a large-vessel occlusion, although treatment efficacy is highly time-dependent. We hypothesized that interhospital transfer to endovascular-capable centers would result in treatment delays and worse clinical outcomes compared with direct presentation.

Methods:

STRATIS (Systematic Evaluation of Patients Treated With Neurothrombectomy Devices for Acute Ischemic Stroke) was a prospective, multicenter, observational, single-arm study of real-world MT for acute stroke because of anterior-circulation large-vessel occlusion performed at 55 sites over 2 years, including 1000 patients with severe stroke and treated within 8 hours. Patients underwent MT with or without intravenous tissue plasminogen activator and were admitted to endovascular-capable centers via either interhospital transfer or direct presentation. The primary clinical outcome was functional independence (modified Rankin Score 0–2) at 90 days. We assessed (1) real-world time metrics of stroke care delivery, (2) outcome differences between direct and transfer patients undergoing MT, and (3) the potential impact of local hospital bypass.

Results:

A total of 984 patients were analyzed. Median onset-to-revascularization time was 202.0 minutes for direct versus 311.5 minutes for transfer patients (P<0.001). Clinical outcomes were better in the direct group, with 60.0% (299/498) achieving functional independence compared with 52.2% (213/408) in the transfer group (odds ratio, 1.38; 95% confidence interval, 1.06–1.79; P=0.02). Likewise, excellent outcome (modified Rankin Score 0–1) was achieved in 47.4% (236/498) of direct patients versus 38.0% (155/408) of transfer patients (odds ratio, 1.47; 95% confidence interval, 1.13–1.92; P=0.005). Mortality did not differ between the 2 groups (15.1% for direct, 13.7% for transfer; P=0.55). Intravenous tissue plasminogen activator did not impact outcomes. Hypothetical bypass modeling for all transferred patients suggested that intravenous tissue plasminogen activator would be delayed by 12 minutes, but MT would be performed 91 minutes sooner if patients were routed directly to endovascular-capable centers. If bypass is limited to a 20-mile radius from onset, then intravenous tissue plasminogen activator would be delayed by 7 minutes and MT performed 94 minutes earlier.

Conclusions:

In this large, real-world study, interhospital transfer was associated with significant treatment delays and lower chance of good outcome. Strategies to facilitate more rapid identification of large-vessel occlusion and direct routing to endovascular-capable centers for patients with severe stroke may improve outcomes.

Clinical Trial Registration:

URL: https://www.clinicaltrials.gov. Unique identifier: NCT02239640.

Cutting the Prehospital On-Scene Time of Stroke Thrombolysis in Helsinki

Background and Purpose—

Significant portion of the prehospital delay consists of minutes spent on the scene with the patient. We implemented a training program for the emergency medical services personnel with the aim to optimize the on-scene time (OST) and to study the impact of different elements of prehospital practice to the OST duration.

Methods—

In this prospective interventional study, key operational emergency medical service performance variables were analyzed from all thrombolysis candidates transported to the Helsinki University Hospital emergency department. The catchment period was 4 months before and 4 months after the implementation.

Results—

One hundred and forty-one patients were managed as thrombolysis candidates before and 148 patients after the training program implementation. The OST duration for the groups was 25 (20.5–31) and 22.5 (18–28.5) minutes, respectively ( P <0.001). Physician consultations via telephone were associated with a longer (odds ratio 0.546 [0.333–0.893]) and advanced life support training with a shorter OST (odds ration 1.760 [1.070–2.895]).

Conclusions—

Implementation of the emergency medical services training program successfully decreased the OST of thrombolysis candidates by 10%. Higher expertise level of the ambulance crew was associated with shorter OST, and decisions to consult a physician via telephone were reflected by longer OST.

Pre and intrahospital workflow for acute stroke treatment

PURPOSE OF REVIEW

With the recent demonstration of the effectiveness of rapid recanalization of large vessel occlusions in acute ischemic stroke, it is important to assess the current status of pre and intrahospital workflow for acute stroke.

RECENT FINDINGS

We will review trends in the evaluation and treatment of acute stroke and offer suggestions for how best to advance the workflow for acute stroke care in the coming years.

SUMMARY

Future research is needed for: field use of clinical scores for predicting large vessel occlusions, telemedicine to facilitate prehospital triage, and pre and intrahospital processes for optimizing stroke care delivery.

Developing Program Performance Measures for Rural Emergency Medical Services

BACKGROUND

The development of measures to monitor and evaluate the performance and quality of emergency medical services (EMS) systems has been a focus of attention for many years. The Medicare Rural Hospital Flexibility Program (Flex Program), established by Congress in 1997, provides grants to states to implement initiatives to strengthen rural healthcare delivery systems, including better integration of EMS into those systems of care.

OBJECTIVE

Building on national efforts to develop EMS performance measures, we sought to identify measures relevant to the rural communities and hospitals supported by the Flex Program. The measures are intended for use in monitoring rural EMS performance at the community level as well as for use by State Flex Programs and the Federal Office of Rural Health Policy (FORHP) to demonstrate the impact of the Flex Program.

METHODS

To evaluate the performance of EMS in rural communities, we conducted a literature search, reviewed research on performance measures conducted by key EMS organizations, and recruited a panel of EMS experts to identify and rate rurally-relevant EMS performance measures as well as emergent protocols for episodes of trauma, ST Elevation Myocardial Infarction (STEMI), and stroke. The rated measures were assessed for inclusion in the final measure set.

RESULTS

The Expert Panel identified 17 program performance measures to support EMS services in rural communities. These measures monitor the capacity of local agencies to collect and report quality and financial data, use the data to improve agency performance, and train rural EMS employees in emergent protocols for all age groups.

CONCLUSION

The system of care approach on which this rural EMS measures set is based can support the FORHP's goal of better focusing State Flex Program activity to improve program impact on the performance of rural EMS services in the areas of financial viability, quality improvement, and local/regional health system performance.

Contemporary Prehospital Emergency Medical Services Response Times for Suspected Stroke in the United States

BACKGROUND AND PURPOSE

There are no contemporary national-level data on Emergency Medical Services (EMS) response times for suspected stroke in the United States (US). Because effective stroke treatment is time-dependent, we characterized response times for suspected stroke, and examined whether they met guideline recommendations.

METHODS

Using the National EMS Information System dataset, we included 911 calls for patients ≥ 18 years with an EMS provider impression of stroke. We examined variation in the total EMS response time by dispatch notification of stroke, age, sex, race, region, time of day, day of the week, as well as the proportion of EMS responses that met guideline recommended response times. Total EMS response time included call center dispatch time (receipt of call by dispatch to EMS being notified), EMS dispatch time (dispatch informing EMS to EMS starts moving), time to scene (EMS starts moving to EMS arrival on scene), time on scene (EMS arrival on scene to EMS leaving scene), and transport time (EMS leaving scene to reaching treatment facility).

RESULTS

We identified 184,179 events with primary impressions of stroke (mean age 70.4 ± 16.4 years, 55% male). Median total EMS response time was 36 (IQR 28.7-48.0) minutes. Longer response times were observed for patients aged 65-74 years, of white race, females, and from non-urban areas. Dispatch identification of stroke versus "other" was associated with marginally faster response times (36.0 versus 36.7 minutes, p < 0.01). When compared to recommended guidelines, 78% of EMS responses met dispatch delay of <1 minute, 72% met time to scene of <8 minutes, and 46% met on-scene time of <15 minutes.

CONCLUSIONS

In the United States, time from receipt of 9-1-1 calls to treatment center arrival takes a median of 36 minutes for stroke patients, an improvement upon previously published times. The fact that 22%-46% of EMS responses did not meet stroke guidelines highlights an opportunity for improvement. Future studies should examine EMS diagnostic accuracy nationally or regionally using outcomes based approaches, as accurate recognition of prehospital strokes is vital in order to improve response times, adhere to guidelines, and ultimately provide timely and effective stroke treatment.

Amniotic Fluid Embolism: Using the Medical Staff Process to Facilitate Streamlined Care

Amniotic fluid embolism (AFE) is a catastrophic consequence of labor and delivery that often results in maternal and neonatal death. These poor outcomes are related largely to the rarity of the event in a population overwhelmingly biased by overall good health. Despite the presence of national AFE registries, there are no published algorithmic approaches to its management, to our knowledge. The purpose of this article is to share a care pathway developed by a multidisciplinary group at a community teaching hospital. Post hoc analysis of a complicated case of AFE resulted in development of this pathway, which addresses many of the major consequences of AFE. We offer this algorithm as a template for use by any institution willing to implement a clinical pathway to treat AFE. It is accompanied by the remarkable case outcome that prompted its development.

Recognition of Stroke by EMS is Associated with Improvement in Emergency Department Quality Measures

OBJECTIVE

Hospital arrival via Emergency Medical Services (EMS) and EMS prenotification are associated with faster evaluation and treatment of stroke. We sought to determine the impact of diagnostic accuracy by prehospital providers on emergency department quality measures.

METHODS

A retrospective study was performed of patients presenting via EMS between September 2009 and December 2012 with a discharge diagnosis of transient ischemic attack (TIA), ischemic stroke (IS), or intracerebral hemorrhage (ICH). Hospital and EMS databases were used to determine EMS impression, prehospital and in-hospital time intervals, EMS prenotification, NIH stroke scale (NIHSS), symptom duration, and thrombolysis rate.

RESULTS

399 cases were identified: 14.5% TIA, 67.2% IS, and 18.3% ICH. EMS providers correctly recognized 57.6% of cases. Compared to cases missed by EMS, correctly recognized cases had longer median on-scene time (17 vs. 15 min, p = 0.01) but shorter transport times (12 vs. 15 min, p = 0.001). Cases correctly recognized by EMS were associated with shorter door-to-physician time (4 vs. 11 min, p < 0.001) and shorter door-to-CT time (23 vs. 48 min, p < 0.001). These findings were independent of age, NIHSS, symptom duration, and EMS prenotification. Patients with ischemic stroke correctly recognized by EMS were more likely to receive thrombolytic therapy, independent of age, NIHSS, symptom duration both with and without prenotification.

CONCLUSION

Recognition of stroke by EMS providers was independently associated with faster door-to-physician time, faster door-to-CT time, and greater odds of receiving thrombolysis. Quality initiatives to improve EMS recognition of stroke have the potential to improve hospital-based quality of stroke care.

Prehospital Phase of the Stroke Chain of Survival: A Prospective Observational Study

BACKGROUND

Few studies have discussed the emergency call and prehospital care as a continuous process to decrease the prehospital and in-hospital delays for acute stroke. To identify features associated with early hospital arrival (<90 minutes) and treatment (<120 minutes), we analyzed the operation of current dispatch protocol and emergency medical services and compared stroke recognition by dispatchers and ambulance crews.

METHODS AND RESULTS

This was a 2-year prospective observational study. All stroke patients who were transported to the hospital by emergency medical services and received recanalization therapy were recruited for the study. For a sample of 308 patients, the stroke code was activated in 206 (67%) and high priority was used in 258 (84%) of the emergency calls. Emergency medical services transported 285 (93%) of the patients using the stroke code and 269 (87%) using high priority. In the univariate analysis, the most dominant predictors of early hospital arrival were transport using stroke code (P=0.001) and high priority (P=0.002) and onset-to-call (P<0.0001) and on-scene times (P=0.052). In the regression analysis, the influences of high-priority transport (P<0.01) and onset-to-call time (P<0.001) prevailed as significant in both dichotomies of early arrival and treatment. The on-scene time was found to be surprisingly long (>23.5 minutes) for both early and late-arriving patients.

CONCLUSIONS

Fast emergency medical services activation and ambulance transport promoted early hospital arrival and treatment. Although patient-dependent delays still dominate the prehospital process, it should be ensured that the minutes on the scene are well spent.

Fire Engine Support and On-scene Time in Prehospital Stroke Care - A Prospective Observational Study

Introduction On-scene time (OST) previously has been shown to be a significant component of Emergency Medical Services' (EMS') operational delay in acute stroke. Since stroke patients are managed routinely by two-person ambulance crews, increasing the number of personnel available on the scene is a possible method to improve their performance. Hypothesis Using fire engine crews to support ambulances on the scene in acute stroke is hypothesized to be associated with a shorter OST.

METHODS

All patients transported to hospital as thrombolysis candidates during a one-year study period were registered by the ambulance crews using a case report form that included patient characteristics and operational EMS data.

RESULTS

Seventy-seven patients (41 [53%] male; mean age of 68.9 years [SD=15]; mean Glasgow Coma Score [GCS] of 15 points [IQR=14-15]) were eligible for the study. Forty-five cases were managed by ambulance and fire engine crews together and 32 by the ambulance crews alone. The median ambulance response time was seven minutes (IQR=5-10) and the fire engine response time was six minutes (IQR=5-8). The number of EMS personnel on the scene was six (IQR=5-7) and two (IQR=2-2), and the OST was 21 minutes (IQR=18-26) and 24 minutes (IQR=20-32; P =.073) for the groups, respectively. In a following regression analysis, using stroke as the dispatch code was the only variable associated with short (<22 minutes) OST with an odds ratio of 3.952 (95% CI, 1.279-12.207).

CONCLUSION

Dispatching fire engine crews to support ambulances in acute stroke care was not associated with a shorter on-scene stay when compared to standard management by two-person ambulance crews alone. Using stroke as the dispatch code was the only variable that was associated independently with a short OST. Puolakka T , Väyrynen T , Erkkilä E-P , Kuisma M . Fire engine support and on-scene time in prehospital stroke care - a prospective observational study. Prehosp Disaster Med. 2016;31(3):278-281.

Acute Stroke: Current Evidence-based Recommendations for Prehospital Care

Introduction

In the United States, emergency medical services (EMS) protocols vary widely across jurisdictions. We sought to develop evidence-based recommendations for the prehospital evaluation and treatment of a patient with a suspected stroke and to compare these recommendations against the current protocols used by the 33 EMS agencies in the state of California.

Methods

We performed a literature review of the current evidence in the prehospital treatment of a patient with a suspected stroke and augmented this review with guidelines from various national and international societies to create our evidence-based recommendations. We then compared the stroke protocols of each of the 33 EMS agencies for consistency with these recommendations. The specific protocol components that we analyzed were the use of a stroke scale, blood glucose evaluation, use of supplemental oxygen, patient positioning, 12-lead electrocardiogram (ECG) and cardiac monitoring, fluid assessment and intravenous access, and stroke regionalization.

Results

Protocols across EMS agencies in California varied widely. Most used some sort of stroke scale with the majority using the Cincinnati Prehospital Stroke Scale (CPSS). All recommended the evaluation of blood glucose with the level for action ranging from 60 to 80mg/dL. Cardiac monitoring was recommended in 58% and 33% recommended an ECG. More than half required the direct transport to a primary stroke center and 88% recommended hospital notification.

Conclusion

Protocols for a patient with a suspected stroke vary widely across the state of California. The evidence-based recommendations that we present for the prehospital diagnosis and treatment of this condition may be useful for EMS medical directors tasked with creating and revising these protocols.

Interfacility Transports Utilizing the 9-1-1 Emergency Medical Services System

BACKGROUND

With the increasing development of regional specialty centers, emergency physicians are often confronted with patients needing definitive care unavailable at their hospital. Interfacility transports (IFTs) may be a useful option to ensure timely, definitive patient care. However, since traditional IFT can be a challenging and time-consuming process, some EMS agencies that have previously limited their service to 9-1-1 emergency responses are now performing emergency IFTs.

OBJECTIVE

We sought to determine the frequency and nature of transfers provided by a local fire-based 9-1-1 EMS agency that recently began to provide limited IFT for time-critical emergencies.

METHODS

A retrospective review of paramedic reports for all IFTs between April 2007 and March 2014 in the City of Los Angeles, California. All IFTs initiated by 9-1-1 call from an emergency department (ED) and performed by Los Angeles Fire Department paramedics were included. Reason for transfer, patient demographics, and key time metrics were captured.

RESULTS

There were 919 IFTs during the study period, out of approximately 1,160,000 total ambulance transports (0.1%). The most frequent reason for IFT request was for transport of patients with ST segment elevation MI (STEMI) to a STEMI receiving center, followed by major trauma to a trauma center, and intracranial hemorrhage to a center with neurosurgical capability. Less common reasons included vascular emergencies, acute stroke, obstetric emergencies, and transfers to pediatric critical care facilities. Median transport time was 8 minutes (IQR 6-13 minutes) and median total time for IFT was 51 minutes (IQR 39-69 minutes). All IFTs involved a potentially life-threatening condition requiring a higher level of care than was available at the referring hospital.

CONCLUSIONS

Emergent ED-to-ED interfacility transport can provide access to time critical definitive care. EMS agencies that have limited the scope of their response to community 9-1-1 emergencies should have policies in place to assure timely response for emergent IFT requests.

Hospital-directed feedback to Emergency Medical Services improves prehospital performance

BACKGROUND AND PURPOSE

A potential way to improve prehospital stroke care and patient handoff is hospital-directed feedback for emergency medical service (EMS) providers. We evaluated whether a hospital-directed EMS stroke follow-up tool improved documentation of adherence to the Rhode Island state prehospital stroke protocol for EMS providers.

METHODS

A standardized, 10-item feedback tool was developed in 2012 and sent to EMS directors for every transported patient with a discharge diagnosis of ischemic stroke. We reviewed patient charts meeting these criteria between January 2008 and December 2013. Performance on the tool was compared between the preintervention (January 2008 through January 2012) and postintervention (February 2012 through December 2013) periods.

RESULTS

We identified 1176 patients with ischemic stroke who arrived by EMS in the study period: 668 in the preintervention period and 508 in the postintervention period. The overall score for the preintervention group was 5.31 and for the postintervention group 6.42 (P<0.001). Each of the 10 items, except checking blood glucose, showed statistically significant improvement in the postintervention period compared with the preintervention period.

CONCLUSIONS

Hospital-directed feedback to EMS was associated with improved overall compliance with state protocols and documentation of 9 out of 10 individual items. Future confirmatory studies in different locales and studies on the impact of this intervention on actual tissue-type plasminogen activator administration rates and EMS personnel knowledge and behavior are needed.