scholarly journals Optimal patient protocols in regional acute stroke care

2021 ◽  
Author(s):  
B. L. Garcia ◽  
R. Bekker ◽  
R. D. van der Mei ◽  
N. H. Chavannes ◽  
N. D. Kruyt
Keyword(s):  
Acute Stroke ◽  
Rural Areas ◽  
Interventional Procedure ◽  
Treated Patient ◽  
Stroke Care ◽  
Mixed Integer ◽  
Acute Stroke Care ◽  
Mixed Integer Linear Program ◽  
Patient Allocation ◽  
Stroke Centre

AbstractIn acute stroke care two proven reperfusion treatments exist: (1) a blood thinner and (2) an interventional procedure. The interventional procedure can only be given in a stroke centre with specialized facilities. Rapid initiation of either is key to improving the functional outcome (often emphasized by the common phrase in acute stroke care “time=brain”). Delays between the moment the ambulance is called and the initiation of one or both reperfusion treatment(s) should therefore be as short as possible. The speed of the process strongly depends on five factors: patient location, regional patient allocation by emergency medical services (EMS), travel times of EMS, treatment locations, and in-hospital delays. Regional patient allocation by EMS and treatment locations are sub-optimally configured in daily practice. Our aim is to construct a mathematical model for the joint decision of treatment locations and allocation of acute stroke patients in a region, such that the time until treatment is minimized. We describe acute stroke care as a multi-flow two-level hierarchical facility location problem and the model is formulated as a mixed integer linear program. The objective of the model is the minimization of the total time until treatment in a region and it incorporates volume-dependent in-hospital delays. The resulting model is used to gain insight in the performance of practically oriented patient allocation protocols, used by EMS. We observe that the protocol of directly driving to the nearest stroke centre with special facilities (i.e., the mothership protocol) performs closest to optimal, with an average total time delay that is 3.9% above optimal. Driving to the nearest regional stroke centre (i.e., the drip-and-ship protocol) is on average 8.6% worse than optimal. However, drip-and-ship performs better than the mothership protocol in rural areas and when a small fraction of the population (at most 30%) requires the second procedure, assuming sufficient patient volumes per stroke centre. In the experiments, the time until treatment using the optimal model is reduced by at most 18.9 minutes per treated patient. In economical terms, assuming 150 interventional procedures per year, the value of medical intervention in acute stroke can be improved upon up to € 1,800,000 per year.

Abstract P278: Improving Stroke Systems of Care in Nebraska

Stroke ◽  
2021 ◽  
Vol 52 (Suppl_1) ◽  
Author(s):  
Marco A Gonzalez Castellon ◽  
James A BOBENHOUSE ◽  
David Franco ◽  
Beth L Malina ◽  
Mindy Cook ◽  
...  
Keyword(s):  
Acute Stroke ◽  
Rural Areas ◽  
Systems Of Care ◽  
Stroke Care ◽  
The United States ◽  
Advisory Council ◽  
Management Tool ◽  
Acute Stroke Care ◽  
Stroke Systems Of Care ◽  
Get With The Guidelines

Introduction: Stroke is a leading cause of disability in the United States. Disparities in stroke care between metropolitan and rural areas have long been recognized. Access to high-level timely stroke expertise improves outcomes, but in rural areas this is limited by sparse availability of stroke specialists. Since 2006, the Nebraska Stroke Advisory Council, a statewide coalition of stroke experts and stakeholders, began implementing strategies to improve stroke care. In 2016, the Nebraska legislature approved Bill 722, mandating the development of stroke systems of care. In 2018, the AHA and the Helmsley Charitable Trust launched Mission: Lifeline Stroke, a coordinated 3-year program to enhance stroke systems of care in Nebraska. Purpose: To assess advances in acute stroke care in Nebraska after implementing a statewide stroke system of care focused on rural areas. Methods: The Council joined with AHA to expand public and professional stroke education offerings including workshops, conferences, and EMS trainings. They developed state specific treatment guidelines and created educational reinforcement materials. From 2016 to 2019 Get With The Guidelines® (GWTG) was used for stroke data collection and quality improvement in Nebraska. GWTG participating hospitals expanded from 7 to 40 sites (21 critical access). Results: The number of stroke and Transient Ischemic Attack cases reported more than doubled from 2016 to 2019 (1848 to 3987 cases). The door to CT initiated in < 25 minutes improved by 13%. IV alteplase therapy gains included: utilization increased from 8.7% to 11.3%; median door to drug time reduced from 54 to 42 minutes; and door to drug within 60 minutes of arrival increased from 67% to 80.4%.The number of alteplase monitored patients doubled and mechanical thrombectomy cases increased from 77 in 2017 to 138 in 2019. Conclusion: Implementation of strategies in Nebraska, with an emphasis on rural critical access hospitals, led to significant improvements in acute stroke care. This work represents the authors’ independent analysis of local or multicenter data gathered using the AHA Get With The Guidelines® Patient Management Tool but is not an analysis of the national GWTG dataset and does not represent findings from the AHA GWTG National Program

Abstract TP246: Emergency Medical Services Survey of a Low-cost, Ambulance-based System for Mobile Neurological Assessment: The iTREAT Study

Stroke ◽  
2017 ◽  
Vol 48 (suppl_1) ◽  
Author(s):  
William M Clark ◽  
Nicole A Chiota-McCollum ◽  
Jack Cote ◽  
Brett J Schneider ◽  
Haydon Pitchford ◽  
...  
Keyword(s):  
Acute Stroke ◽  
Rural Areas ◽  
Low Cost ◽  
Prehospital Care ◽  
Stroke Care ◽  
Neurological Assessment ◽  
Acute Stroke Care ◽  
Prehospital Diagnosis ◽  
Technical Challenges ◽  
Survey Responses

Introduction: Modern advances in acute stroke care place an added emphasis on accurate prehospital diagnosis and triage. As part of the Improving Treatment with Rapid Evaluation of Acute Stroke via mobile Telemedicine (iTREAT) study, we assessed the EMS provider experience with a novel system for mobile telestroke assessment. Methods: We developed a 12-question survey with input from local participants in an EMS Council serving rural counties in central Virginia. Providers rated the iTREAT system on feasibility for acute stroke triage, potential effectiveness in prehospital neurological assessment, and interactions with prehospital care. All survey responses were voluntary and anonymous. Results: Since initiation of live patient enrollment, we have completed 34 ambulance-based telestroke encounters with the iTREAT system. Among 7 participating agencies, 19 EMS providers have served as tele-presenters during the telestroke assessment, and 17 EMS providers completed the voluntary survey. Of the respondents, 71% were certified EMS providers for over 5 years. Regarding technical feasibility, 69% experienced issues related to maintaining a video connection, 41% with logging in to the videoconferencing application, and 18% powering on the tablet. Of technical challenges, 41% of providers resolved the issue on their own, 18% with guidance from study staff, and 24% could not resolve the issue. Concerning patient care, 23% felt the system interfered, 35% were neutral, and 41% felt there was no interference. The majority of respondents (71%) agreed that the iTREAT system is feasible for acute stroke triage, and an effective tool (59%) for prehospital neurological assessment. In commentary, EMS participants emphasized the system’s utility in rural areas. Conclusion: This survey of the EMS experience with a low-cost, ambulance-based system for prehospital telestroke assessment reveals both technical challenges and clinical promise. Importantly, technical issues are mostly solvable in real time and correctable for further system refinement. As a novel tool for prehospital neurological assessment and acute stroke triage, the initial EMS evaluation supports further investigation of clinical efficacy, particularly in rural and underserved areas.

scholarly journals Stroke Care in Pakistan

2021 ◽  
pp. 118-121
Author(s):  
Anjum Farooq ◽  
Narayanaswamy Venketasubramanian ◽  
Mohammad Wasay
Keyword(s):  
Acute Stroke ◽  
Plasminogen Activator ◽  
Rural Areas ◽  
Recombinant Tissue Plasminogen Activator ◽  
Stroke Care ◽  
Acute Stroke Care ◽  
Stroke Units ◽  
Stroke Outcomes ◽  
Tissue Plasminogen ◽  
Urban And Rural Areas

Increasing incidence of stroke and lack of infrastructure in both urban and rural areas needs immediate attention in Pakistan. There is a high proportion of young stroke with poor stroke outcomes. Acute stroke care is scarce in Pakistan due to the small number of neurologists (1 neurologist per 1 million population), few stroke units, and limited availability of alteplase (recombinant tissue plasminogen activator) in the country.

The impact of tele-neurologists on acute stroke care at an advanced primary stroke centre

2020 ◽  
pp. 1357633X2092103
Author(s):  
Scott Gutovitz ◽  
Jonathan Leggett ◽  
Leslie Hart ◽  
Samuel M Leaman ◽  
Heather James ◽  
...  
Keyword(s):  
Acute Stroke ◽  
Mechanical Thrombectomy ◽  
Stroke Care ◽  
Final Diagnosis ◽  
Stroke Patients ◽  
Acute Stroke Care ◽  
Care Guidelines ◽  
Stroke Center ◽  
The Impact ◽  
Stroke Centre

Introduction We evaluated the impact of tele-neurologists on the time to initiating acute stroke care versus traditional bedside neurologists at an advanced stroke center. Methods This observational study evaluated time to treatment for acute stroke patients at a single hospital, certified as an advanced primary stroke centre, with thrombectomy capabilities. Consecutive stroke alert patients between 1 March, 2016 and 31 March, 2018 were divided into two groups based on their neurology consultation service (bedside neurology: 1 March, 2016–28 February, 2017; tele-neurology: 1 April, 2017–31 March, 2018). Door-to-tPA time and door-to-IR time for mechanical thrombectomy were compared between the two groups. Results Nine hundred and fifty-nine stroke patients met the inclusion criteria (436 bedside neurology, 523 tele-neurology patients). There were no significant differences in sex, age, or stroke final diagnosis between groups ( p > 0.05). 85 bedside neurology patients received tPA and 35 had mechanical thrombectomy, 84 and 44 for the tele-neurology group respectively. Door-to-tPA time (median (IQR)) was significantly higher among tele-neurology (64 min (51.5–83.5)) than bedside neurology patients (45 min (34–69); p < 0.0001). There was no difference in door-to-IR times (mean ± SD) between bedside neurology (87.2 ± 33.3 min) and tele-neurology (90.4 ± 33.4 min; p = 0.67). Discussion At this facility, our tele-neurology services vendor was associated with a statistically significant delay in tPA administration compared with bedside neurologists. There was no difference in door-to-IR times. Delays in tPA administration make it harder to meet acute stroke care guidelines and could worsen patient outcomes.

Abstract TP236: Geographical Disparity of Acute Stroke Care Capabilities in Japan From a Nationwide Database: J-ASPECT Study

Stroke ◽  
2017 ◽  
Vol 48 (suppl_1) ◽  
Author(s):  
Koichi Arimura ◽  
Kunihiro Nishimura ◽  
Akiko Kada ◽  
Satoru Kamitani ◽  
Kuniaki Ogasawara ◽  
...  
Keyword(s):  
Hospital Mortality ◽  
Acute Stroke ◽  
Rural Areas ◽  
Patient Characteristics ◽  
Stroke Care ◽  
International Classification Of Diseases ◽  
Stroke Severity ◽  
Acute Stroke Care ◽  
Nationwide Database ◽  
Geographical Disparity

Objective: We previously demonstrated comprehensive stroke care (CSC) capabilities of the hospitals affect in-hospital mortality of patients with acute stroke. With the advent of unprecedented aging society, proper implementation of stroke centers requires understanding of geographical disparity of patient characteristics as well as stroke care capabilities. The aim of this study was to elucidate such geographical disparity regarding acute stroke care in Japan using a nationwide database. Materials and methods: We analyzed the data obtained from the Japanese Diagnosis Procedure Combination-based Payment System in 445 institutions between 2010 and 2012. Patients hospitalized emergently for ischemic stroke(IS), non-traumatic intracerebral hemorrhage(ICH) and non-traumatic subarachnoid hemorrhage(SAH) were identified using International Classification of Diseases-10 diagnosis codes. We classified the location of the hospitals into 4 areas, “Metropolitan Employment Area-Central (MEA-C)”, “ Metropolitan Employment Area-Outlying (MEA-O)”, “Micropolitan Employment Area-Central (McEA-C)”, and “ Micropolitan Employment Area-Outlying (McEA-O)”. We investigated patient characteristics, medical backgrounds, interventions and outcomes for each area. Results: Data obtained from a total of 214,910 patients with acute strokes (136,753 IS, 60,379 ICH and 17,778 SAH) were analyzed. As for patient characteristics, elderly patients and those with hypertension were more common in McEA-C and McEA-O, and stroke severity was more severe in McEA-C in all stroke types. As for hospital characteristics, proportion of admission by ambulance and CSC capabilities of the hospitals were smaller in all stroke types. Moreover, emergent interventions such as intravenous rt-PA infusion were performed at a lesser extent and in-hospital mortality was higher in McEA-C and McEA-O, and severe disability with mRS 3-6 was more often noted in McEA-C in all stroke types. Conclusion: We demonstrated geographical disparity of acute stroke care in Japan from a nationwide database. For proper implementation of stroke centers, centralization of acute stroke care capabilities should be considered in the rural areas to improve outcomes of acute stroke.

scholarly journals Identification of Stroke Mimics in the Emergency Department Setting

2009 ◽  
Vol 1 ◽  
pp. JCNSD.S2280 ◽  
Author(s):  
W. Oliver Tobin ◽  
Joseph G. Hentz ◽  
Bentley J. Bobrow ◽  
Bart M. Demaerschalk
Keyword(s):  
Acute Stroke ◽  
Stroke Care ◽  
Final Diagnosis ◽  
Clinical Predictors ◽  
Acute Stroke Care ◽  
Stroke Mimics ◽  
Emergency Department Setting ◽  
Multivariable Regression ◽  
Stroke Mimic ◽  
Stroke Centre

Background and Purpose Previous studies have shown a stroke mimic rate of 9%–31%. We aimed to establish the proportion of stroke mimics amongst suspected acute strokes, to clarify the aetiology of stroke mimic and to develop a prediction model to identify stroke mimics. Methods This was a retrospective cohort observational study. Consecutive “stroke alert” patients were identified over nine months in a primary stroke centre. 31 variables were collected. Final diagnosis was defined as “stroke” or “stroke mimic”. Multivariable regression analysis was used to define clinical predictors of stroke mimic. Results 206 patients were reviewed. 22% were classified as stroke mimics. Multivariable scoring did not help in identification of stroke mimics. 99.5% of patients had a neurological diagnosis at final diagnosis. Discussion 22% of patients with suspected acute stroke had a stroke mimic. The aetiology of stroke mimics was varied, with seizure, encephalopathy, syncope and migraine being commonest. Multivariable scoring for identification of stroke mimics is not feasible. 99.5% of patients had a neurological diagnosis. This strengthens the case for the involvement of stroke neurologists/stroke physicians in acute stroke care.

scholarly journals Bottlenecks in the Acute Stroke Care System during the COVID-19 Pandemic in Catalonia

2021 ◽  
pp. 1-9
Author(s):  
Anna Ramos-Pachón ◽  
Álvaro García-Tornel ◽  
Mònica Millán ◽  
Marc Ribó ◽  
Sergi Amaro ◽  
...  
Keyword(s):  
Acute Stroke ◽  
Functional Outcome ◽  
Stroke Care ◽  
Care Quality ◽  
Point Of View ◽  
Stroke Severity ◽  
Acute Stroke Care ◽  
Vessel Occlusion ◽  
Prehospital Delays ◽  
The Impact

<b><i>Introduction:</i></b> The COVID-19 pandemic resulted in significant healthcare reorganizations, potentially striking standard medical care. We investigated the impact of the COVID-19 pandemic on acute stroke care quality and clinical outcomes to detect healthcare system’s bottlenecks from a territorial point of view. <b><i>Methods:</i></b> Crossed-data analysis between a prospective nation-based mandatory registry of acute stroke, Emergency Medical System (EMS) records, and daily incidence of COVID-19 in Catalonia (Spain). We included all stroke code activations during the pandemic (March 15–May 2, 2020) and an immediate prepandemic period (January 26–March 14, 2020). Primary outcomes were stroke code activations and reperfusion therapies in both periods. Secondary outcomes included clinical characteristics, workflow metrics, differences across types of stroke centers, correlation analysis between weekly EMS alerts, COVID-19 cases, and workflow metrics, and impact on mortality and clinical outcome at 90 days. <b><i>Results:</i></b> Stroke code activations decreased by 22% and reperfusion therapies dropped by 29% during the pandemic period, with no differences in age, stroke severity, or large vessel occlusion. Calls to EMS were handled 42 min later, and time from onset to hospital arrival increased by 53 min, with significant correlations between weekly COVID-19 cases and more EMS calls (rho = 0.81), less stroke code activations (rho = −0.37), and longer prehospital delays (rho = 0.25). Telestroke centers were afflicted with higher reductions in stroke code activations, reperfusion treatments, referrals to endovascular centers, and increased delays to thrombolytics. The independent odds of death increased (OR 1.6 [1.05–2.4], <i>p</i> 0.03) and good functional outcome decreased (mRS ≤2 at 90 days: OR 0.6 [0.4–0.9], <i>p</i> 0.015) during the pandemic period. <b><i>Conclusion:</i></b> During the COVID-19 pandemic, Catalonia’s stroke system’s weakest points were the delay to EMS alert and a decline of stroke code activations, reperfusion treatments, and interhospital transfers, mostly at local centers. Patients suffering an acute stroke during the pandemic period had higher odds of poor functional outcome and death. The complete stroke care system’s analysis is crucial to allocate resources appropriately.

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