Improving Prehospital Stroke Services in Rural and Underserved Settings With Mobile Stroke Units

Professor Klaus Fassbender: The Father of Mobile Stroke Units

Professor Klaus Fassbender is a distinguished neurologist from Germany, widely recognized for his groundbreaking contributions to the fields of neurology and neurodegenerative disease. His work has been pivotal in advancing our understanding of the pathophysiological mechanisms underlying neurodegenerative disorders, including Alzheimer's and Parkinson's disease, as well as in refining therapeutic strategies for their treatment. His studies in cerebrovascular disease have elucidated the complex molecular and cellular processes involved in ischemic and hemorrhagic stroke, leading to the development of novel therapeutic interventions, often bridging the gap between laboratory discoveries and their application in clinical settings. Professor Klaus Fassbender is "the father" of the mobile stroke unit (MSU). With the "time is brain" concept in mind, he proposed and developed the MSU concept for the first time, allowing prehospital stroke imaging, diagnosis, and treatment directly at the site of emergency. This concept reduced times between symptoms onset and treatment, resulting in an increased proportion of patients receiving treatment within "the golden hour" and leading to the improvement of functional outcomes at 90 days. Professor Fassbender's work has been instrumental in shaping contemporary approaches to diagnosing and managing stroke and neurodegenerative disease, making him a leading figure in modern neurology.

Lifetime economic potential of mobile stroke units in acute stroke care: A model-based analysis of the drivers of cost-effectiveness

BACKGROUND AND PURPOSE

To simulate patient-level costs, analyze the economic potential of telemedicine-based mobile stroke units for acute prehospital stroke care, and identify major determinants of cost-effectiveness, based on two recent prospective trials from the United States and Germany.

METHODS

A Markov decision model was developed to simulate lifetime costs and outcomes of mobile stroke unit. The model compares diagnostic and therapeutic pathways of ischemic stroke, hemorrhagic stroke, and stroke mimic patients by conventional care or by mobile stroke units. The treatment outcomes were derived from the B_PROUD and the BEST-mobile stroke unit trials and further input parameters were derived from recent literature. Uncertainty was addressed by deterministic and probabilistic sensitivity analyses. A lifetime horizon based on the US healthcare system was adopted to evaluate different cost thresholds for mobile stroke unit and the resulting cost-effectiveness. Willingness-to-pay thresholds were set at 1x and 3x gross domestic product per capita, as recommended by the World Health Organization.

RESULTS

In the base case scenario, mobile stroke unit care yielded an incremental gain of 0.591 quality-adjusted life years per dispatch. Mobile stroke unit was highly cost-effective up to a maximum average cost of 43,067 US dollars per patient. Sensitivity analyses revealed that MSU cost-effectiveness is mainly affected by reduction of long-term disability costs. Also, among other parameters, the rate of stroke mimics patients diagnosed by MSU plays an important role.

CONCLUSION

This study demonstrated that mobile stroke unit can possibly be operated on an excellent level of cost-effectiveness in urban areas in North America with number of stroke mimic patients and long-term stroke survivor costs as major determinants of lifetime cost-effectiveness.

Mobile stroke units: Beyond thrombolysis

In the last decade, mobile stroke units (MSUs) have shown the potential to transform prehospital stroke care, marking a paradigm shift in delivering ultra-rapid thrombolysis and streamlining triage processes. These units bring acute stroke care directly to patients, significantly shortening treatment times. This review outlines the rationale for MSU care and discusses the potential applications beyond the original purpose of delivering thrombolysis, including large vessel occlusion detection, intracerebral hemorrhage management, and innovative forms of prehospital research.

Global Insights on Prehospital Stroke Care: A Comprehensive Review of Challenges and Solutions in Low- and Middle-Income Countries

Stroke is a leading cause of disability and mortality worldwide, and it disproportionately affects low- and middle-income countries (LMICs), which account for 88% of stroke fatalities. Prehospital stroke care delays are a crucial obstacle to successful treatment in these settings, especially given the limited therapeutic window for thrombolytic treatments, which may greatly improve recovery chances when initiated early after stroke onset. These delays are caused by a lack of public understanding of stroke symptoms, sociodemographic and cultural variables, and insufficient healthcare infrastructure. This review discusses these issues in detail, emphasizing the disparities in stroke awareness and reaction times between locations and socioeconomic classes. Innovative options for reducing these delays include the deployment of mobile stroke units and community-based educational campaigns. This review also discusses how technology improvements and personalized educational initiatives might improve stroke awareness and response in LMICs. The primary goal is to give a thorough assessment of the challenges and potential remedies that might serve as the foundation for policy reforms and healthcare improvements in LMICs, eventually improving stroke care and lowering disease-related mortality and disability.

Prediction model for asymptomatic carotid atherosclerosis using retinal microvascular intelligent analysis: A retrospective study

IMPORTANCE

Early detection and timely diagnosis of asymptomatic carotid atherosclerosis significantly assist in the prevention of ischemic stroke for them.

OBJECTIVE

This observational study aimed to develop and validate a novel prediction model to assist in the early diagnosis of carotid atherosclerosis based on new characteristic variables screened by retinal microvascular intelligence analysis.

MAIN OUTCOME(S) AND METHOD (S)

The least absolute shrinkage and selection operator (LASSO) combined with 10-fold cross-validation were screened for characteristic variables, and nomograms were plotted to demonstrate the prediction model. Receiver operating characteristic (ROC) curves and area under the curve (AUC), calibration plots and brier score (BS), and decision curve analysis (DCA) were used to evaluate the risk model's discrimination, calibration, and clinical applicability.

RESULTS

Age, gender, diabetes mellitus (DM), drinking history, vascular branching angle, mean vascular diameter within 0.5-1.0 papillary diameter (PD), curvature tortuosity arteriole in the inferior region of the optic disc, and vascular density in the nasal region of the optic disc were identified as characteristic variables for carotid atherosclerosis with retinal microvascular intelligence analysis. The predictive nomogram model presented good discrimination with AUCs of 0.790 (0.774-0.806), and the calibration curve displayed high consistency between predicted and actual probability. The DCA demonstrated that this nomogram model led to net benefits in a threshold probability range of 20 %-94 % and could be adapted for clinical decision-making. The results of the 100-bootstrap resampling strategy for internal validation also show that the risk model is well discriminated with an AUC of 0.789 and excellent calibration. External validation showed good discrimination with AUCs of 0.703 (0.627 - 0.779) and good calibration, the risk threshold is 10 %-92 % in terms of DCA.

CONCLUSIONS AND RELEVANCE

The novel prediction model based on retinal microvascular intelligence analysis constructed in this study could be effective prognoses for predicting the risk of asymptomatic carotid atherosclerosis in a Chinese screening population.

Review of Microwave Near-Field Sensing and Imaging Devices in Medical Applications

Microwaves can safely and non-destructively illuminate and penetrate dielectric materials, making them an attractive solution for various medical tasks, including detection, diagnosis, classification, and monitoring. Their inherent electromagnetic properties, portability, cost-effectiveness, and the growth in computing capabilities have encouraged the development of numerous microwave sensing and imaging systems in the medical field, with the potential to complement or even replace current gold-standard methods. This review aims to provide a comprehensive update on the latest advances in medical applications of microwaves, particularly focusing on the near-field ones working within the 1-15 GHz frequency range. It specifically examines significant strides in the development of clinical devices for brain stroke diagnosis and classification, breast cancer screening, and continuous blood glucose monitoring. The technical implementation and algorithmic aspects of prototypes and devices are discussed in detail, including the transceiver systems, radiating elements (such as antennas and sensors), and the imaging algorithms. Additionally, it provides an overview of other promising cutting-edge microwave medical applications, such as knee injuries and colon polyps detection, torso scanning and image-based monitoring of thermal therapy intervention. Finally, the review discusses the challenges of achieving clinical engagement with microwave-based technologies and explores future perspectives.

Driving healthcare forward: The potential of mobile MRI and CT units in streamlining radiological services in Saudi Arabia - A narrative review

BACKGROUND AND PURPOSE

This narrative review focuses on the role of mobile MRI and CT units in addressing the challenges of healthcare accessibility and patient wait times in Saudi Arabia. It underscores the growing demand for diagnostic imaging amid infrastructural and geographical barriers, emphasizing mobile units as innovative solutions for enhancing radiological services across diverse Saudi landscapes. The purpose of this study is to assess how these mobile technologies can mitigate service delays, improve patient outcomes, and support healthcare delivery in remote or underserved areas, reflecting on global trends towards more dynamic, patient-centered healthcare models.

METHODS

This review utilizes an expanded database search and refined keywords to ensure comprehensive literature coverage. The study focused on peer-review articles and grey literatures that directly examined the impact of these mobile units on healthcare accessibility, wait times, and service delivery. A thematic analysis identified significant contributions to accessibility improvements, emergency responses, and rural healthcare, highlighting areas for further research and policy development.

DISCUSSION

Mobile units have advanced technical specifications with high-field magnets and multi-slice CT scanners on par with fixed facilities. They prioritize patient comfort and safety with examination areas, control rooms, and waiting areas. Telemedicine capabilities allow real-time image transmission to specialists. Strategic deployment can address workforce shortages by distributing services equitably. Mobile units represent cost-effective solutions to expand healthcare access without fixed infrastructure.

CONCLUSION

Integration of mobile MRI and CT units in Saudi Arabia can transform access to diagnostic imaging by decentralizing services and directly reaching patients, including rural areas. Evidence shows mobile units reduce diagnostic delays and optimize resource use. Despite challenges, strategic investments and collaborations can overcome obstacles to make radiological services more equitable, flexible and patient-focused in Saudi Arabia.

The Urban-Rural Divide in Neurocritical Care in Low-Income and Middle-Income Countries

The term "urban-rural divide" encompasses several dimensions and has remained an important concern for any country. The economic disparity; lack of infrastructure; dearth of medical specialists; limited opportunities to education, training, and health care; lower level of sanitation; and isolating effect of geographical location deepens this gap, especially in low-income and middle-income countries (LMICs). This article gives an overview of the rural-urban differences in terms of facilities related to neurocritical care (NCC) in LMICs. Issues related to common clinical conditions such as stroke, traumatic brain injury, myasthenia gravis, epilepsy, tubercular meningitis, and tracheostomy are also discussed. To facilitate delivery of NCC in resource-limited settings, proposed strategies include strengthening preventive measures, focusing on basics, having a multidisciplinary approach, promoting training and education, and conducting cost-effective research and collaborative efforts. The rural areas of LMICs bear the maximum impact because of their limited access to preventive health services, high incidence of acquired brain injury, inability to have timely management of neurological emergencies, and scarcity of specialist services in a resource-deprived health center. An increase in the health budget allocation for rural areas, NCC education and training of the workforce, and provision of telemedicine services for rapid diagnosis, management, and neurorehabilitation are some of the steps that can be quite helpful.

Physiological Variability during Prehospital Stroke Care: Which Monitoring and Interventions Are Used?

Prehospital care is a fundamental component of stroke care that predominantly focuses on shortening the time between diagnosis and reaching definitive stroke management. With growing evidence of the physiological parameters affecting long-term patient outcomes, prehospital clinicians need to consider the balance between rapid transfer and increased physiological-parameter monitoring and intervention. This systematic review explores the existing literature on prehospital physiological monitoring and intervention to modify these parameters in stroke patients. The systematic review was registered on PROSPERO (CRD42022308991) and conducted across four databases with citation cascading. Based on the identified inclusion and exclusion criteria, 19 studies were retained for this review. The studies were classified into two themes: physiological-monitoring intervention and pharmacological-therapy intervention. A total of 14 included studies explored prehospital physiological monitoring. Elevated blood pressure was associated with increased hematoma volume in intracerebral hemorrhage and, in some reports, with increased rates of early neurological deterioration and prehospital neurological deterioration. A reduction in prehospital heart rate variability was associated with unfavorable clinical outcomes. Further, five of the included records investigated the delivery of pharmacological therapy in the prehospital environment for patients presenting with acute stroke. BP-lowering interventions were successfully demonstrated through three trials; however, evidence of their benefit to clinical outcomes is limited. Two studies investigating the use of oxygen and magnesium sulfate as neuroprotective agents did not demonstrate an improvement in patient's outcomes. This systematic review highlights the absence of continuous physiological parameter monitoring, investigates fundamental physiological parameters, and provides recommendations for future work, with the aim of improving stroke patient outcomes.

Addressing Disparities in Acute Stroke Management and Prognosis

There are now abundant data demonstrating disparities in acute stroke management and prognosis; however, interventions to reduce these disparities remain limited. This special report aims to provide a critical review of the current landscape of disparities in acute stroke care and highlight opportunities to use implementation science to reduce disparities throughout the early care continuum. In the prehospital setting, stroke symptom recognition campaigns that have been successful in reducing prehospital delays used a multilevel approach to education, including mass media, culturally tailored community education, and professional education. The mobile stroke unit is an organizational intervention that has the potential to provide more equitable access to timely thrombolysis and thrombectomy treatments. In the hospital setting, interventions to address implicit biases among health care providers in acute stroke care decision-making are urgently needed as part of a multifaceted approach to advance stroke equity. Implementing stroke systems of care interventions, such as evidence-based stroke care protocols at designated stroke centers, can have a broader public health impact and may help reduce geographic, racial, and ethnic disparities in stroke care, although further research is needed. The long-term impact of disparities in acute stroke care cannot be underestimated. The consistent trend of longer time to treatment for Black and Hispanic people experiencing stroke has direct implications on long-term disability and independence after stroke. A learning health system model may help expedite the translation of evidence-based interventions into clinical practice to reduce disparities in stroke care.

Mounting Stroke Crisis in India: A Systematic Review

Stroke, a neurological disorder, has emerged as a formidable health challenge in India, with its incidence on the rise. Increased risk factors, which also correlate with economic prosperity, are linked to this rise, including hypertension, diabetes, obesity, sedentary lifestyle, and alcohol intake. Particularly worrisome is the impact on young adults, a pivotal segment of India's workforce. Stroke encompasses various clinical subtypes and cerebrovascular disorders (CVDs), contributing to its multifaceted nature. Globally, stroke's escalating burden is concerning, affecting developing nations. To combat this trend effectively and advance prevention and treatment strategies, comprehensive and robust data on stroke prevalence and impact are urgently required. In India, these encompass individuals with elevated BMIs, and those afflicted by hypertension, diabetes, or a familial history of stroke. Disparities in stroke incidence and prevalence manifest across India, with differences in urban and rural settings, gender-based variations, and regional disparities. Early detection, dietary changes, effective risk factor management, and equitable access to stroke care are required to address this issue. Government initiatives, like the National Programme for Prevention and Control of Cancer, Diabetes, Cardiovascular Diseases, and Stroke (NPCDCS) 2019, provide guidelines, but effective implementation and awareness campaigns are vital. Overcoming barriers to stroke care, especially in rural areas, calls for improved infrastructure, awareness campaigns, and support systems. Data standardization and comprehensive population studies are pivotal for informed public health policies.

A comparative study on specialized services in pre-hospital emergencies in Iran and selected countries

The quality of emergency services is one of the indicators describing the health status of countries. Moreover, the specialization of services and targeted response to any accident or disease has been the priority of pre-hospital emergency operations in some leading countries. This study aimed to compare the special services provided in the emergency department of several selected countries. This was a comparative study that was done in Isfahan in 2022. Data were collected by reviewing the literature provided by libraries and emergency websites of selected countries. We selected countries based on the accessibility of information in two groups of developed countries and countries with the same income and population as Iran including Germany, France, The United States, Australia, Britain, Malaysia, and Turkey. Data were classified and compared based on staff, vehicles, and specialized services. Emergency staffs in most countries were of different skill and training levels. Ambulances varied in equipment types in various land, air, and sea forms and dimensions. Developed countries had more modern ambulances and equipment. France and Germany were operating more especially. Specialized teams are dispatched only in the United States and Germany. Existing studies have shown the adequacy and effectiveness of these teams in reducing complications and mortality and improving the prognosis of patients. The use of specialized teams appropriate to each emergency based on the specific and targeted response is effective in improving the prognosis of patients. The results of this study are suggested to beneficiaries to improve the quality of emergency care and reduce complications and potential causalities.

Optimizing Patient-Centered Stroke Care and Research in the Prehospital Setting

Over the past decades, continuous technological advances and the availability of novel therapies have enabled treatment of more acute medical conditions than ever before. Many of these treatments, such as intravenous thrombolysis and mechanical thrombectomy for acute ischemic stroke, are highly time sensitive. This has raised interest in shifting advanced acute care from hospitals to the prehospital setting. Key objectives of advanced prehospital stroke care may include (1) early targeted treatments in the prehospital setting, for example, intravenous thrombolysis for acute stroke, and (2) advanced prehospital diagnostics such as prehospital large vessel occlusion and intracranial hemorrhage detection, to help inform patient triage and potentially reduce subsequent workload in emergency departments. Major challenges that may hamper a swift transition to more advanced prehospital care are related to conducting clinical trials in the prehospital setting to provide sufficient evidence for emergency interventions, as well as ambulance design, infrastructure, emergency medical service personnel training and workload, and cost barriers. Utilizing new technologies such as telemedicine, mobile stroke units and portable diagnostic devices, customized software applications, and smart storage space management may help surmount these challenges and establish efficient, targeted care strategies that are achievable in the prehospital setting. In this article, we delineate the paradigm of shifting advanced stroke care to the prehospital setting and outline future directions in providing evidence-based, patient-centered prehospital care. While we use acute stroke as an illustrative example, these principles are not limited to stroke patients and can be applied to prehospital triage for any time-critical disease.

Prospective collection of blood plasma samples to identify potential biomarkers for the prehospital stroke diagnosis (ProGrEss-Bio): study protocol for a multicenter prospective observational study

Introduction

Intravenous thrombolysis (IVT) and mechanical thrombectomy (MT) are well-established, evidence-based, time-critical therapies that reduce morbidity and mortality in acute ischemic stroke (AIS) patients. The exclusion of intracerebral hemorrhage (ICH) is mandatory and has been performed by cerebral imaging to date. Mobile stroke units (MSUs) have been shown to improve functional outcomes by bringing cerebral imaging and IVT directly to the patient, but they have limited coverage. Blood biomarkers clearly distinguishing between AIS, ICH, and stroke mimics (SM) could provide an alternative to cerebral imaging if concentration changes are detectable in the hyperacute phase after stroke with high diagnostic accuracy. In this study, we will take blood samples in a prehospital setting to evaluate potential biomarkers. The study was registered in the German Clinical Trials Register (https://drks.de/search/de) with the identifier DRKS00023063.

Methods and analysis

We plan a prospective, observational study involving 300 patients with suspected stroke and symptom onset of ≤4.5 h before the collection of biomarkers. Study participants will be recruited from three sites in Berlin, Germany during MSU deployments. The focus of the study is the collection of blood samples from participants at the prehospital scene and from participants with AIS or ICH at a second-time point. All samples will be analyzed using targeted and untargeted analytical approaches. Study-related information about participants, including medical information and discharge diagnoses from the subsequent treating hospital, will be collected and documented in an electronic case report form (eCRF).

Discussion

This study will evaluate whether a single blood biomarker or a combination of biomarkers can distinguish patients with AIS and ICH from patients with stroke and SM in the early phase after symptom onset in the prehospital setting. In addition, the kinetics of blood biomarkers in AIS and ICH patients will be investigated. Our goal is to evaluate new ways to reliably diagnose stroke in the prehospital setting and thus accelerate the application of evidence-based therapies to stroke patients.

Clinical characteristic of a Haitian stroke cohort and a scoping review of the literature of stroke among the Haitian population

Background and Aim

There are significant disparities in stroke care and outcomes between low- and middle-income countries compared to high-income countries. Haiti, a lower-middle-income country, suffers from a lack of resources for acute stroke management. This study is the first to report the epidemiological profile of the Haitian population presenting with stroke symptoms at the largest academic hospital in the nation.

Methods

This is an observational study conducted over a period of 5 months from April 2021 to August 2021 in the Internal Medicine Department of the State University Hospital of Haiti. There were 51 included patients who were suspected to have had an acute stroke. A descriptive statistical analysis was conducted. A scoping review of the literature was also conducted.

Results

Over 50% of included patients were between 19 and 65 years old. The mean age at presentation was 61 years, and patients were predominantly female (64.7%). The prevalence of severe motor deficits was over 96%. The mean National Institutes of Health Stroke Scale was 12. Only 15.7% of patients (8/51) had a computed tomography (CT) scan during their hospitalization. The median time to CT scan was 84 h after symptom onset. About 80% of those with complications took more than 24 h to arrive at the hospital after the onset of symptoms. Eleven percent of patients had complications, and the mortality rate was 3.9%. There was a significant association between the Modified Rankin Scale and the occurrence of complications (p = 0.016). National Institutes of Health Stroke Scale (NIHSS) score had a significant association with the Glasgow score (F = 6.3; p < 0.001) where an inversely proportional correlation was observed between them (r = -0.7; p < 0.001) and a proportional correlation with the Rankin prediction score and the NIHSS (r = 0.3, p = 0.04). Little is known about the epidemiology of stroke patients in Haiti, and this limits the ability to develop targeted interventions to improve outcomes. In our scoping review, only three pertinent studies were identified over a 25-year period, this leads to a lack of data in regard to stroke care in Haiti mainly due to the absence of trained personnel.

Conclusion

In our cohort, stroke is mainly affecting female patients. The majority of stroke patients have moderate to severe motor deficits and took more than 24 h to arrive at the hospital. Urgent assistance is needed to strengthen personnel and infrastructure dedicated to stroke. Neurological assessment based on NIHSS and Rankin score should be systematic in stroke evaluation in Haiti.

Relevance for Patients

This study is relevant for patients because it emphasizes the challenges of stroke management in Haiti due to the non-availability of reference drugs, the time to arrive at the hospital to start treatment, as well as the means of diagnosis which are limited, like the CT scan. While stroke prevalence is on the rise in the country, it is the highest in the Caribbean and Latin America region.

Diagnostic accuracy of telestroke consultation: a Louisiana based tele-network experience

Background and purpose

Telestroke has grown significantly since its implementation. Despite growing utilization, there is a paucity of data regarding the diagnostic accuracy of telestroke to distinguish between stroke and its mimics. We aimed to evaluate diagnostic accuracy of telestroke consultations and explore the characteristics of misdiagnosed patients with a focus on stroke mimics.

Methods

We conducted a retrospective study of all the consultations in our Ochsner Health's TeleStroke program seen between April 2015 and April 2016. Consultations were classified into one of three diagnostic categories: stroke/transient ischemic attack, mimic, and uncertain. Initial telestroke diagnosis was compared with the final diagnosis post review of all emergency department and hospital data. Sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), positive likelihood ratio (LR+) and negative likelihood ratio (LR-) for diagnosis of stroke/TIA versus mimic were calculated. Area under receiver-operating characteristic curve (AUC) analysis to predict true stroke was performed. Bivariate analysis based on the diagnostic categories examined association with sex, age, NIHSS, stroke risk factors, tPA given, bleeding after tPA, symptom onset to last known normal, symptom onset to consult, timing in the day, and consult duration. Logistic regression was performed as indicated by bivariate analysis.

Results

Eight hundred and seventy-four telestroke evaluations were included in our analysis. Accurate diagnosis through teleneurological consultation was seen in 85% of which 532 were strokes (true positives) and 170 were mimics (true negatives). Sensitivity, specificity, PPV, NPV were 97.8, 82.5, 93.7 and 93.4%, respectively. LR+ and LR- were 5.6 and 0.03. AUC (95% CI) was 0.9016 (0.8749-0.9283). Stroke mimics were more common with younger age and female gender and in those with less vascular risk factors. LR revealed OR (95% CI) of misdiagnosis for female gender of 1.9 (1.3-2.9). Lower age and lower NIHSS score were other predictors of misdiagnosis.

Conclusion

We report high diagnostic accuracy of the Ochsner Telestroke Program in discriminating stroke/TIA and stroke mimics, with slight tendency towards over diagnosis of stroke. Female gender, younger age and lower NIHSS score were associated with misdiagnosis.

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.

Prehospital Stroke Care Part 1: Emergency Medical Services and the Stroke Systems of Care

Acute stroke care begins before hospital arrival, and several prehospital factors are critical in influencing overall patient care and poststroke outcomes. This topical review provides an overview of the state of the science on prehospital components of stroke systems of care and how emergency medical services systems may interact in the system to support acute stroke care. Topics include layperson recognition of stroke, prehospital transport strategies, networked stroke care, systems for data integration and real-time feedback, and inequities that exist within and among systems.

Establishment of a teaching hospital-based dementia consultation service for rurally-based regional district general hospitals

Objective

The treatment of patients with dementia poses a considerable challenge to regional district general hospitals, particularly in rural areas. Here we report the establishment and initial evaluation of a dementia-specific consultation service provided by a teaching hospital-based Psychiatry Department to regional district general hospitals in surrounding smaller towns.

Methods

The consultation service was provided to patients with pre-existing or newly suspected dementia, who were in acute hospital care for concurrent conditions. An evaluation of 61 consultations - 49 on-site and 12 via telemedicine - was performed to assess the needs of the participating hospitals and the specific nature of the referrals to the consultation service.

Results

Suspected dementia or cognitive dysfunction was the primary reason for consultation requests (>50% of cases). Other common requests concerned suspected delirium, behavioral symptoms, and therapeutic recommendations. During the consultations, a diagnosis of dementia was reached in 52.5% of cases, with other common diagnoses including delirium and depression. Recommendations related to pharmacotherapy were given in 54.1% of consultations. Other recommendations included referral for outpatient neurological or psychiatric follow-up, further diagnostic assessment, or assessment in a memory clinic. Geriatric psychiatric inpatient treatment was recommended in only seven cases (11.5 %).

Conclusion

Our initial evaluation demonstrates the feasibility of providing a dementia-specific consultation service in rural areas. The service has the potential to reduce acute transfers to inpatient geriatric psychiatry and enables older patients with dementia or delirium to be treated locally by helping and empowering rurally-based regional hospitals to manage these problems and associated complications.

Can Helicopters Solve the Transport Dilemma for Patients With Symptoms of Large-Vessel Occlusion Stroke in Intermediate Density Areas? A Simulation Model Based on Real Life Data

Background

This modeling study aimed to determine if helicopters may optimize the transportation of patients with symptoms of large vessel stroke in “intermediate density” areas, such as Denmark, by bringing them directly to the comprehensive stroke center.

Methods

We estimated the time for the treatment of patients requiring endovascular therapy or intravenous thrombolysis under four configurations: “drip and ship” with and without helicopter and “bypass” with and without helicopter. Time delays, stroke numbers per municipality, and helicopter dispatches for four helicopter bases from 2019 were obtained from the Danish Stroke and Helicopter Registries. Discrete event simulation (DES) was used to estimate the capacity of the helicopter fleet to meet patient transport requests, given the number of stroke codes per municipality.

Results

The median onset-to-needle time at the comprehensive stroke center (CSC) for the bypass model with the helicopter was 115 min [interquartile range (IQR): 108, 124]; the median onset-to-groin time was 157 min (IQR: 150, 166). The median onset-to-needle time at the primary stroke center (PSC) by ground transport was 112 min (IQR: 101, 125) and the median onset-to-groin time when primary transport to the PSC was prioritized was 234 min (IQR: 209, 261).

A linear correlation between travel time by ground and the number of patients transported by helicopter (rho = 0.69, p < 0.001) indicated that helicopters are being used to transport more remote patients. DES demonstrated that an increase in helicopter capture zone by 20 min increased the number of rejected patients by only 5%.

Conclusions

Our model calculations suggest that using helicopters to transport patients with stroke directly to the CSC in intermediate density areas markedly reduce onset-to-groin time without affecting time to thrombolysis. In this setting, helicopter capacity is not challenged by increasing the capture zone.

Disparities Influencing Functional Outcomes Between Rural and Urban Patients With Acute Stroke

Introduction

There is scarce information in Latin America about factors related to stroke patient outcomes in rural areas compared to urban ones.

Objective

To evaluate functional outcomes of stroke code patients from rural and urban areas and their relationship with socioeconomic disparity.

Methods

Prospective cohort study included patients of urban, semi-urban, and rural origin with stroke code from a high complexity hospital in southwestern Colombia between 2018 and 2019. Demographic, clinical data modified Rankin at discharge, and 3-month follow-up were analyzed. The poverty index, barriers to health access and availability of ambulances by the municipality was assessed at an ecological level.

Results

Five hundred and fifty five stroke patients were registered, 21.2% from rural areas, 432 (77.98%) had an ischemic stroke. There were no significant differences in sociodemographic factors and medical background. Urban patients had lower reperfusion therapies rates (23.25%). Favorable mRS at discharge (&lt;3) was higher in urban areas (63.03%) and mortality was superior in rural patients (13.56%). The ambulance rate in semi-urban and rural areas was as low as 0.03 per 100.000 inhabitants, the poverty index was 11.9% in urban areas vs. 23.3% in semi urban and rural areas.

Conclusions

Rural patients treated in our center were more likely to present with severe strokes and unfavorable mRS at hospital discharge and 3-month follow-up compared to urban, despite having similar risk factors. There is an inverse relationship, which is not related to the poverty rate or the percentage of people with barriers to access to health. There is a need for further studies that assess barriers inherent in rural patients and establish a regional stroke network.

Shifting acute stroke management to the prehospital setting

PURPOSE OF REVIEW

The earlier the treatment, the better the outcomes after acute ischemic stroke. Optimizing prehospital care bears potential to shorten treatment times. We here review the recent literature on mothership vs. drip-and-ship as well as mobile stroke unit concepts.

RECENT FINDINGS

Mobile stroke units result in the shortest onset-to-treatment times in mostly urban settings.

SUMMARY

Future research should focus on further streamlining processes around mobile stroke units, especially improving dispatch algorithms and improve referral for endovascular therapy.

A Proposed Brain-, Spine-, and Mental- Health Screening Methodology (NEUROSCREEN) for Healthcare Systems: Position of the Society for Brain Mapping and Therapeutics

The COVID-19 pandemic has accelerated neurological, mental health disorders, and neurocognitive issues. However, there is a lack of inexpensive and efficient brain evaluation and screening systems. As a result, a considerable fraction of patients with neurocognitive or psychobehavioral predicaments either do not get timely diagnosed or fail to receive personalized treatment plans. This is especially true in the elderly populations, wherein only 16% of seniors say they receive regular cognitive evaluations. Therefore, there is a great need for development of an optimized clinical brain screening workflow methodology like what is already in existence for prostate and breast exams. Such a methodology should be designed to facilitate objective early detection and cost-effective treatment of such disorders. In this paper we have reviewed the existing clinical protocols, recent technological advances and suggested reliable clinical workflows for brain screening. Such protocols range from questionnaires and smartphone apps to multi-modality brain mapping and advanced imaging where applicable. To that end, the Society for Brain Mapping and Therapeutics (SBMT) proposes the Brain, Spine and Mental Health Screening (NEUROSCREEN) as a multi-faceted approach. Beside other assessment tools, NEUROSCREEN employs smartphone guided cognitive assessments and quantitative electroencephalography (qEEG) as well as potential genetic testing for cognitive decline risk as inexpensive and effective screening tools to facilitate objective diagnosis, monitor disease progression, and guide personalized treatment interventions. Operationalizing NEUROSCREEN is expected to result in reduced healthcare costs and improving quality of life at national and later, global scales.

Detecting brain lesions in suspected acute ischemic stroke with CT-based synthetic MRI using generative adversarial networks

Background

Difficulties in detecting brain lesions in acute ischemic stroke (AIS) have convinced researchers to use computed tomography (CT) to scan for and magnetic resonance imaging (MRI) to search for these lesions. This work aimed to develop a generative adversarial network (GAN) model for CT-to-MR image synthesis and evaluate reader performance with synthetic MRI (syn-MRI) in detecting brain lesions in suspected patients.

Methods

Patients with primarily suspected AIS were randomly assigned to the training (n=140) or testing (n=53) set. Emergency CT and follow-up MR images in the training set were used to develop a GAN model to generate syn-MR images from the CT data in the testing set. The standard reference was the manual segmentations of follow-up MR images. Image similarity was evaluated between syn-MRI and the ground truth using a 4-grade visual rating scale, the peak signal-to-noise ratio (PSNR), and the structural similarity index measure (SSIM). Reader performance with syn-MRI and CT was evaluated and compared on a per-patient (patient detection) and per-lesion (lesion detection) basis. Paired t-tests or Wilcoxon signed-rank tests were used to compare reader performance in lesion detection between the syn-MRI and CT data.

Results

Grade 2–4 brain lesions were observed on syn-MRI in 92.5% (49/53) of the patients, while the remaining syn-MRI data showed no lesions compared to the ground truth. The GAN model exhibited a weak PSNR of 24.30 dB but a favorable SSIM of 0.857. Compared with CT, syn-MRI led to an increase in the overall sensitivity from 38% (57/150) to 82% (123/150) in patient detection and from 4% (68/1,620) to 16% (262/1,620) in lesion detection (R=0.32, corrected P<0.001), but the specificity in patient detection decreased from 67% (6/9) to 33% (3/9). An additional 75% (70/93) of patients and 15% (77/517) of lesions missed on CT were detected on syn-MRI.

Conclusions

The GAN model holds potential for generating synthetic MR images from noncontrast CT data and thus could help sensitively detect individuals among patients with suspected AIS. However, the image similarity performance of the model needs to be improved, and further expert discrimination is strongly recommended.

Development and Validation of a LASSO Prediction Model for Better Identification of Ischemic Stroke: A Case-Control Study in China

Background

Timely diagnosis of ischemic stroke (IS) in the acute phase is extremely vital to achieve proper treatment and good prognosis. In this study, we developed a novel prediction model based on the easily obtained information at initial inspection to assist in the early identification of IS.

Methods

A total of 627 patients with IS and other intracranial hemorrhagic diseases from March 2017 to June 2018 were retrospectively enrolled in the derivation cohort. Based on their demographic information and initial laboratory examination results, the prediction model was constructed. The least absolute shrinkage and selection operator algorithm was used to select the important variables to form a laboratory panel. Combined with the demographic variables, multivariate logistic regression was performed for modeling, and the model was encapsulated within a visual and operable smartphone application. The performance of the model was evaluated on an independent validation cohort, formed by 304 prospectively enrolled patients from June 2018 to May 2019, by means of the area under the curve (AUC) and calibration.

Results

The prediction model showed good discrimination (AUC = 0.916, cut-off = 0.577), calibration, and clinical availability. The performance was reconfirmed in the more complex emergency department. It was encapsulated as the Stroke Diagnosis Aid app for smartphones. The user can obtain the identification result by entering the values of the variables in the graphical user interface of the application.

Conclusion

The prediction model based on laboratory and demographic variables could serve as a favorable supplementary tool to facilitate complex, time-critical acute stroke identification.

Risk and space: modelling the accessibility of stroke centers using day- & nighttime population distribution and different transportation scenarios

Purpose

Rapid accessibility of (intensive) medical care can make the difference between life and death. Initial care in case of strokes is highly dependent on the location of the patient and the traffic situation for supply vehicles. In this methodologically oriented paper we want to determine the inequivalence of the risks in this respect.

Methods

Using GIS we calculate the driving time between Stroke Units in the district of Münster, Germany for the population distribution at day- & nighttime. Eight different speed scenarios are considered. In order to gain the highest possible spatial resolution, we disaggregate reported population counts from administrative units with respect to a variety of factors onto building level.

Results

The overall accessibility of urban areas is better than in less urban districts using the base scenario. In that scenario 6.5% of the population at daytime and 6.8% at nighttime cannot be reached within a 30-min limit for the first care. Assuming a worse traffic situation, which is realistic at daytime, 18.1% of the population fail the proposed limit.

Conclusions

In general, we reveal inequivalence of the risks in case of a stroke depending on locations and times of the day. The ability to drive at high average speeds is a crucial factor in emergency care. Further important factors are the different population distribution at day and night and the locations of health care facilities. With the increasing centralization of hospital locations, rural residents in particular will face a worse accessibility situation.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12942-021-00284-y.

Geographic Access to Stroke Care Services in Rural Communities in Ontario, Canada

BACKGROUND

Optimal stroke care requires access to resources such as neuroimaging, acute revascularization, rehabilitation, and stroke prevention services, which may not be available in rural areas. We aimed to determine geographic access to stroke care for residents of rural communities in the province of Ontario, Canada.

METHODS

We used the Ontario Road Network File database linked with the 2016 Ontario Acute Stroke Care Resource Inventory to estimate the proportion of people in rural communities, defined as those with a population size <10,000, who were within 30, 60, and 240 minutes of travel time by car from stroke care services, including brain imaging, thrombolysis treatment centers, stroke units, stroke prevention clinics, inpatient rehabilitation facilities, and endovascular treatment centers.

RESULTS

Of the 1,496,262 people residing in rural communities, the majority resided within 60 minutes of driving time to a center with computed tomography (85%), thrombolysis (81%), a stroke unit (68%), a stroke prevention clinic (74%), or inpatient rehabilitation (77.0%), but a much lower proportion (32%) were within 60 minutes of driving time to a center capable of providing endovascular thrombectomy (EVT).

CONCLUSIONS

Most rural Ontario residents have appropriate geographic access to stroke services, with the exception of EVT. This information may be useful for jurisdictions seeking to optimize the regional organization of stroke care services.

Increased Driving Distance to Screening Colonoscopy Negatively Affects Bowel Preparation Quality: an Observational Study

BACKGROUND

To prepare for colonoscopy, patients must consume a bowel purgative and travel from their home to the site of their procedure. The timing of bowel purgative ingestion predicts bowel preparation quality. Currently, it is not known if driving distance impacts bowel preparation quality or adenoma detection.

OBJECTIVE

This study investigates the effect of driving distance on bowel preparation and adenoma detection.

DESIGN

This is a cross-sectional retrospective analysis of outpatient screening colonoscopy procedures that were completed at an academic medical center.

PARTICIPANTS

A total of 5089 patients who completed screening colonoscopy across 3 procedure units were analyzed.

MAIN MEASURES

Description of bowel preparation was dichotomized to either adequate or inadequate. Patient residential addresses were converted into geographic coordinates for geospatial analysis of driving distance to their colonoscopy site.

KEY RESULTS

Median driving distance was 13.1 miles. Eighty-nine percent of patients had an adequate bowel preparation. The rate of adenoma detection was 37%. On multivariable logistic regression adjusting for age, sex, race, insurance, endoscopist, and site, increasing driving distance (10-mile increments) was negatively associated with adequate bowel preparation (odds ratio = 0.91; 95% confidence interval 0.85 to 0.97), while adenoma detection was positively associated with adequate bowel preparation (odds ratio = 1.53; 95% confidence interval 1.24 to 1.88) but not with driving distance (odds ratio = 1.02; 95% confidence interval 0.98 to 1.06). Driving distances of 30 miles or less were associated with adequate bowel preparation (odds ratio = 1.37; 95% confidence interval 1.09 to 1.72).

CONCLUSIONS

Increasing driving distance to screening colonoscopy was negatively associated with adequate bowel preparation but not adenoma detection. Among an academic medical center population, the likelihood of adequate bowel preparation was highest in patients traveling 30 miles or less to their screening colonoscopy. Patient driving distance to colonoscopy is an important consideration in optimizing screening colonoscopy quality.

Pre-hospital triage of suspected acute stroke patients in a mobile stroke unit in the rural Alberta

Mobile Stroke Unit (MSU) expedites the delivery of intravenous thrombolysis in acute stroke patients. We further evaluated the functional outcome of patients shipped to a tertiary care centre or repatriated to local hospitals after triage by MSU in acute stroke syndrome in rural northern Alberta. Consecutive patients with suspected acute stroke syndrome were included. On the basis of neurology consultation and, Computed Tomography findings, patients, who were thrombolysed or needed advanced care were transported to the Comprehensive stroke center (CSC) (Triage to CSC group). Other patients were repatriated to local hospital care (Triage to LHC group). A total of 156 patients were assessed in MSU, 73 (46.8%) were female and the mean age was 66.6 ± 15 years. One hundred and eight (69.2%) patients, including 41 (26.3%) treated with thrombolysis were transported to the CSC (Triage to CSC group) and 48 (30.8%) were repatriated to local hospital care. The diagnosis made in MSU and final diagnosis were matching in 88% (95) and 91.7% (44, p = 0.39) in Triage to CSC and Triage to LHC groups respectively. Prehospital triage by MSU of acute stroke syndrome can reliably repatriate patients to the home hospital. The proposed model has the potential to triage patients according to their medical needs by enabling treatment in home hospitals whenever reasonable.

Stroke in Africa: profile, progress, prospects and priorities

Stroke is a leading cause of disability, dementia and death worldwide. Approximately 70% of deaths from stroke and 87% of stroke-related disability occur in low-income and middle-income countries. At the turn of the century, the most common diseases in Africa were communicable diseases, whereas non-communicable diseases, including stroke, were considered rare, particularly in sub-Saharan Africa. However, evidence indicates that, today, Africa could have up to 2-3-fold greater rates of stroke incidence and higher stroke prevalence than western Europe and the USA. In Africa, data published within the past decade show that stroke has an annual incidence rate of up to 316 per 100,000, a prevalence of up to 1,460 per 100,000 and a 3-year fatality rate greater than 80%. Moreover, many Africans have a stroke within the fourth to sixth decades of life, with serious implications for the individual, their family and society. This age profile is particularly important as strokes in younger people tend to result in a greater loss of self-worth and socioeconomic productivity than in older individuals. Emerging insights from research into stroke epidemiology, genetics, prevention, care and outcomes offer great prospects for tackling the growing burden of stroke on the continent. In this article, we review the unique profile of stroke in Africa and summarize current knowledge on stroke epidemiology, genetics, prevention, acute care, rehabilitation, outcomes, cost of care and awareness. We also discuss knowledge gaps, emerging priorities and future directions of stroke medicine for the more than 1 billion people who live in Africa.

Telestroke strategies to enhance acute stroke management in rural settings: A systematic review and meta-analysis

BACKGROUND

The potential of telestroke implementation in resource-limited areas has yet to be systematically evaluated. This study aims to investigate the implementation of telestroke on acute stroke care in rural areas.

METHODS

Eligible studies published up to November 2019 were included in this study. Randomized trials were further evaluated for risk of bias with Cochrane RoB 2, while nonrandomized studies with ROBINS-I tool. Random effects model was utilized to estimate effect sizes, and the certainty of evidence was assessed using the Grading of Recommendations Assessment, Development, and Evaluation (GRADE) tool.

RESULTS

The search yielded 19 studies involving a total of 28,496 subjects, comprising of prehospital and in-hospital telestroke interventions in the form of mobile stroke units and hub-and-spoke hospitals network, respectively. Telestroke successfully increased the proportion of patients treated ≤3 hr (OR 2.15; 95% CI 1.37-3.40; I²  = 0%) and better three-month functional outcome (OR 1.29; 95% CI 1.01-1.63; I²  = 44%) without increasing symptomatic intracranial hemorrhage rate (OR 1.27; 0.65-2.49; I²  = 0%). Furthermore, telestroke was also associated with shorter onset-to-treatment time (mean difference -27.97 min; 95% CI -35.51, -20.42; I²  = 63%) and lower in-hospital mortality rate (OR 0.67; 95% CI 0.52-0.87; I²  = 0%). GRADE assessments yielded low-to-moderate certainty of body evidences.

CONCLUSION

Telestroke implementation in rural areas was associated with better clinical outcomes as compared to usual care. Its integration in both prehospital and in-hospital settings could help optimize emergency stroke approach. Further studies with higher-level evidence are needed to confirm these findings.

An Introduction to Software Tools, Data, and Services for Geospatial Analysis of Stroke Services

Background: There is interest in the use geospatial data for development of acute stroke services given the importance of timely access to acute reperfusion therapy. This paper aims to introduce clinicians and citizen scientists to the possibilities offered by open source softwares (R and Python) for analyzing geospatial data. It is hoped that this introduction will stimulate interest in the field as well as generate ideas for improving stroke services.

Method: Instructions on installation of libraries for R and Python, source codes and links to census data are provided in a notebook format to enhance experience with running the software. The code illustrates different aspects of using geospatial analysis: (1) creation of choropleth (thematic) map which depicts estimate of stroke cases per post codes; (2) use of map to help define service regions for rehabilitation after stroke.

Results: Choropleth map showing estimate of stroke per post codes and service boundary map for rehabilitation after stroke. Conclusions The examples in this article illustrate the use of a range of components that underpin geospatial analysis. By providing an accessible introduction to these areas, clinicians and researchers can create code to answer clinically relevant questions on topics such as service delivery and service demand.

Googling Location for Operating Base of Mobile Stroke Unit in Metropolitan Sydney

Background and purpose: The recent advances in stroke therapy have placed focus on delivering care within the first hour after stroke onset (golden hour), principally through the use of Mobile Stroke Unit (MSU) to bring the hospital to the patient. The aim of this project is to search the location of MSU hub in Sydney, Australia, optimizing for catchment, transport to nearest thrombolysis and endovascular clot retrieval (ECR)/thrombectomy capable hospital and population at risk. Methods: Traveling time was performed using ggmap package in R to interface with Google Maps application program interface (API). This analysis estimates the travel time from the centroids of each suburbs to five potential MSU hubs (Royal Prince Alfred, Prince of Wales, Royal North Shore, Liverpool, and Westmead hospitals) and eight thrombolysis capable hospitals. It is proposed that the MSU should be deployed at ECR hub to cover the suburbs, not well-covered by thrombolysis and ECR capable hospitals. This step was performed by assigning membership to hospitals within 30 min traveling time to the ECR hub. The base hub of the MSU was proposed as the closest hub (providing ECR) to the least well-served suburbs. The population serviceable by MSU was estimated using stroke incidence studies in Melbourne and Adelaide. Results: The largest population, serviceable by MSU within 30 min (4,606 cases), 45 min radius (8,918 cases), and 60 min (10,084 cases), was Royal North Shore followed by Royal Prince Alfred, Liverpool, Westmead, and Prince of Wales hospitals. Prince of Wales hospital has the smallest catchment within 30 min (3,078 cases), 45 min (7,721 cases), and 60 min (9,984 cases). Suburbs at the edge of metropolitan Sydney such as the Northern Suburbs are less well-served by thrombolysis and ECR capable hospitals. There are 10 suburbs within 30 min travel of one hospital. The remainders are within 30 min of two or more hospitals. Conclusions: Any of the five endovascular clot retrieval capable hospitals are capable of serving as a hub for MSU. We provide a method to identify the hub based on location of suburbs less well-served by other hospital.

Telerehabilitation benefits patients with multiple sclerosis in an urban setting

INTRODUCTION

People living with multiple sclerosis (MS) often require rehabilitation to manage their symptoms. Telerehabilitation offers improved access to treatment options by reducing travel time and cost. Our telerehabilitation program pairs training exercises simultaneously with transcranial direct current stimulation (tDCS), a non-invasive brain stimulation technique. In the current study, we characterized the benefits of our remotely supervised tDCS (RS-tDCS) at-home telerehabilitation protocol in an urban sample of MS participants.

METHODS

Participants with MS were recruited to complete a telerehabilitation trial using tDCS paired with cognitive rehabilitation at-home using remote supervision (RS-tDCS). Participant time and travel costs for study visits to our clinic in midtown New York City were calculated.

RESULTS

Forty-four patients with MS (aged 18 to 71) with mild to severe neurologic disability (Expanded Disability Status Scale score median = 3.5, range: 0.0 to 8.0) completed the survey. Round-trip clinic attendance required 2.3 ± 2.3 h and US $27.04 ± 38.13 for out-of-pocket expenses. Participants rated difficulty of clinic attendance as moderately to significantly difficult (2.5 ± 1.3). Severity of neurologic disability accounted for the greatest variance in difficulty attending clinic (30%, p < 0.001). RS-tDCS had 95% treatment compliance and 93% of participants reported satisfaction with the at-home treatment.

DISCUSSION

Attending clinic is associated with significant costs for patients with neurologic disorders, even in urban settings. Rehabilitation can be delivered at home and supervised in real-time via videoconference.