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Digital health in stroke medicine: What are the opportunities for stroke patients?
Abstract
Purpose of review:
The European Stroke Organisation published a European Stroke Action Plan (SAP-E) for the years 2018-2030. The SAP-E addresses the entire chain of care from primary prevention through to life after stroke. Within this document digital health tools are suggested for their potential to facilitate greater access to stroke care. In this review, we searched for digital health solutions for every domain of the SAP-E.
Recent findings:
Currently available digital health solutions for the cerebrovascular disease have been designed to support professionals and patients in healthcare settings at all stages. Telemedicine in acute settings has notably increased the access to tissue plasminogen activator and thrombectomy whereas in poststroke settings it has improved access to rehabilitation. Moreover, numerous applications aim to monitor vital signs and prescribed treatment adherence.
Summary:
SAP-E with its seven domains covers the whole continuum of stroke care, where digital health solutions have been considered to provide utility at a low cost. These technologies are progressively being used in all phases of stroke care, allowing them to overcome geographical and organizational barriers. The commercially available applications may also be used by patients and their careers in various context to facilitate accessibility to health improvement strategies.
... Digitizing has already been shown to speed up the redesign of health care [3] and potentially foster access to health care services [7,11]. In Sweden, the digital platform Healthcare Guide 1177 [12], accessible to registered individuals, is widely used. ...
... People with long-term conditions need digital tools designed to cover a range of health problems and related information. Although previsit digital tools have been designed for people with various conditions [2,16,17,25], tools related to organized follow-up after stroke are scarce [11]. Furthermore, when digital elements are used, they are commonly part of a comprehensive and complex approach to poststroke follow-up [26,27] and lack a thorough description of the development process including user experiences [26]. ...
Background
In patient care, demand is growing for digital health tools to enable remote services and enhance patient involvement. People with chronic conditions often have multiple health problems, and long-term follow-up is recommended to meet their needs and enable access to appropriate support. A digital tool for previsit preparation could enhance time efficiency and guide the conversation during the visit toward the patient’s priorities.
Objective
This study aims to develop a digital previsit tool and explore potential end user’s perceptions, using a participatory approach with stroke as a case example.
Methods
The digital tool was developed and prototyped according to service design principles, informed by qualitative participant data and feedback from an expert panel. All features were processed in workshops with a team that included a patient partner. The resulting tool presented questions about health problems and health information. Study participants were people with stroke recruited from an outpatient clinic and patient organizations in Sweden. Development and data collection were conducted in parallel. For conceptualization, the initial prototype was based on the Post-Stroke Checklist and research. Needs and relevance were explored in focus groups, and we used a web survey and individual interviews to explore perceived utility, ease of use, and acceptance. Data were thematically analyzed following the Framework Method.
Results
The development process included 22 participants (9 women) with a median age of 59 (range 42-83) years and a median of 51 (range 4-228) months since stroke. Participants were satisfied or very satisfied with using the tool and recommended its use in clinical practice. Three main themes were constructed based on focus group data (n=12) and interviews (n=10). First, valuable accessible information illuminated the need for information to confirm experiences, facilitate responses, and invite engagement in their care. Amendments to the information in turn reconfigured their expectations. Second, utility and complexity in answering confirmed that the questions were relevant and comprehensible. Some participants perceived the answer options as limiting and suggested additional space for free text. Third, capturing needs and value of the tool highlighted the tool’s potential to identify health problems and the importance of encouraging further dialog. The resulting digital tool, Strokehälsa [Strokehealth] version 1.0, is now incorporated into a national health platform.
Conclusions
The participatory approach to tool development yielded a previsit digital tool that the study group perceived as useful. The holistic development process used here, which integrated health information, validated questions, and digital functionality, offers an example that could be applicable in the context of other long-term conditions. Beyond its potential to identify care needs, the tool offers information that confirms experiences and supports answering the questions in the tool. The tool is freely shared for adaptation in different contexts.
Trial Registration
researchweb 236341; https://www.researchweb.org/is/vgr/project/236341
... staff, facilities, equipment, bed capacity) was seen as hindering this in several domains of acute cerebrovascular disease care. Implementing modifiable services with the inclusion of digital opportunities could provide utility and cost reductions(Antonenko et al., 2021). ...
Aim(s)
To understand patients' and healthcare professionals' experiences to improve care in and across different domains of the cerebrovascular disease pathway.
Design
A qualitative descriptive study.
Methods
Semi‐structured in‐person interviews were conducted among 22 patients diagnosed with acute cerebrovascular disease and 26 healthcare professionals taking care of them in a single tertiary‐level hospital from August 2021 to March 2022. Data were analysed using deductive and inductive content analysis. The consolidated criteria for reporting qualitative research was used to ensure reliable reporting.
Results
Overall, 19 generic and 79 sub‐categories describing perceived challenges with 17 generic and 62 sub‐categories describing perceived needs were identified related to primary prevention, organization of stroke services, management of acute stroke, secondary prevention, rehabilitation, evaluation of stroke outcome and quality assessment, and life after stroke.
Conclusion
Several challenges and needs were identified in and across the different domains of the cerebrovascular disease pathway. There is a requirement for adequate resources, early initiation of treatment, early diagnostics and recanalization, dedicated rehabilitation services, long‐term counselling and support, and impact evaluation of services to improve cerebrovascular disease care. Future research on caregivers', and clinical leadership experiences in and across the cerebrovascular disease pathway is needed to explore the provision of services.
Implications for the Profession and/or Patient Care
The results of this study can be applied by organizations, managers and research for developing and improving services in the cerebrovascular disease pathway.
Impact
This study identified several patient‐related, organizational and logistical needs and challenges, with suggestions for required actions, that can benefit the provision of effective, high‐quality cerebrovascular disease care.
Reporting Method
We have adhered to relevant EQUATOR guidelines with the COREQ reporting method.
Patient or Public Contribution
No patient or public involvement.
... It is beneficial to be able to function successfully with a few mistakes. This technology improves operational skills and solves a variety of difficult problems [13][14][15]. Virtual reality (VR) systems enable interactive and realistic experiences to be developed to simulate a broad variety of circumstances. ...
Therapeutic effects for rehabilitation of the older adult are provided by virtual realities therapy, but the body’s balance remains unclear. The objective was to characterize the effect of senior physiotherapy therapy treatments with VRT on their balance-rehabilitation. Virtual Reality is a technology often used in many fields of cinema, sport, entertainment and simulation. Machine imaging and materials seek in the present circumstances to simulate a real presence. Their sensory abilities in medicine are of practical value. His significance in the field of healthcare should thus be explored. Older individuals are most frequently affected by injury and injury-related deaths. This study evaluated the effect on the balance and the gait capabilities of falling elderly individuals. Ten articles met the inclusion criteria, which demonstrated variety in treatment types (70%) and evaluated outcomes (60 percent). The article focuses on a review of literature in which we comprehend how this technology solves a medical issue to save the lives and vital applications of a patient.
... Televideo consultation provides stroke care via initial triage and assessment of severity through the NIH stroke scale (NIHSS). Moreover, televideo consultation has more significance than telephonic consultation for obvious reasons [13][14][15]. For stable patients on chronic treatment, telemedicine provides medication refills for patients without long wait times in hospital or clinic lobbies [16]. ...
The cost of healthcare in the US grew exponentially between the years 1970 and 2016, with a documented increase of 0.243% per year on average. In 2007, at the inception of the era of crippling economic, the economy witnessed a 17.7% cost increase by 2019. Contributing to this upward trend of healthcare expenditure was the advent of telemedicine. On one hand, these disruptive technologies have positively correlated with healthcare expenditure. Contrary to this, however, it is important to factor the proportion of people that may not be able to afford healthcare overall as a consequence of increased inflation. These figures arose significantly since the start of the COVID-19 pandemic, which has overwhelmed and crippled healthcare systems globally. Nevertheless, it is in the midst of the pandemic that remote measures such as telemedicine are most needed.
... As a first attempt to incorporate technological innovations in post stroke management, digital elements have been implemented in pilot projects as documentation tools for stroke pilots [20] or patients [15], and a communication tool between treatment sectors [21]. The beneficial effects of more complex digital interventions in other conditions [22,23] suggest that such technology could also be a powerful tool for post stroke management [24]. Against this background, we designed the PostStroke-Manager as a novel concept combining multiple innovations based on digital and personal assistance. ...
Introduction
Post stroke management has moved into the focus as it represents the only way to secure acute treatment effects in the long term. Due to individual courses, post stroke management appears rather challenging and is hindered by existing barriers between treatment sectors. As a novel concept, the PostStroke-Manager combines digital and sensor-based technology with personal assistance to enable intersectoral cooperation, best possible reduction of stroke-related disability, optimal secondary prevention, and detection of physical and psychological comorbidities.
Methods
This prospective single-center observational study aims to investigate the feasibility of the PostStroke-Manager concept in an outpatient setting. Ninety patients who have suffered an ischemic or hemorrhagic stroke or transient ischemic attack will be equipped with a tablet and mobile devices recording physical activity, blood pressure, and electrocardiographic signals. Through a server-based platform, patients will be connected with the primary care physician, a stroke pilot and, if necessary, other specialists who will use web-based platforms. Via the tablet, patients will have access to an application with 10 newly designed components including, for instance, a communication tool, medication schedule, medical records platform, and psychometric screenings (e.g., depression, anxiety symptoms, quality of life, adherence, cognitive impairment). During the 1-year follow-up period, clinical visits are scheduled at three-month intervals. In the interim, communication will be secured by an appropriate tool that includes text messenger, audio, and video telephony. As the primary endpoint, feasibility will be measured by a 14-item questionnaire that addresses digital components, technical support, and personal assistance. The PostStroke-Manager will be judged feasible if at least 50% of these aspects are rated positively by at least 75% of patients. Secondary endpoints include feedback from professionals and longitudinal analyses on clinical and psychometric parameters.
Perspective
This study will answer the question of whether combined digital and personal support is a feasible approach to post stroke management. Furthermore, the patient perspective gained regarding digital support may help to specify future applications. This study will also provide information regarding the potential use of remote therapies and mobile devices in situations with limited face-to-face contacts.
Trial registration
German Register for Clinical Trials ( DRKS00023213 .), registered 27 April 2021 .
... Telehealthcare interventions have been spreading for acute and chronic medical conditions. [3][4][5] Despite rapidly increasing technological capabilities, barriers that restrict implementation still remain, which include legal, political and social issues. 6 There are barriers that must be justified by the behaviour of both medical staff and patients. ...
Objectives
To review the implementation strategy from a research project towards routine care of a comprehensive mobile physician-staffed prehospital telemedicine system. The objective is to evaluate the implementation process and systemic influences on emergency medical service (EMS) resource utilisation.
Design
Retrospective pre–post implementation study.
Setting
Two interdisciplinary projects and the EMS of a German urban region.
Interventions
Implementation of a full-scale prehospital telemedicine system.
Endpoints
Descriptive evaluation of the implementation strategy. Primary endpoint: ground-based and helicopter-based physician staffed emergency missions before and after implementation.
Results
The first research project revealed positive effects on guideline adherence and patient safety in two simulation studies, with feasibility demonstrated in a clinical study. After technical optimisation, safety and positive effects were demonstrated in a multicentre trial. Routine care in the city of Aachen, Germany was conducted stepwise from April 2014 to March 2015, including modified dispatch criteria. Systemic parameters of all EMS assignments between pre-implementation (April 2013 to March 2014) and post implementation (April 2015 to March 2016): on-scene EMS physician operations decreased from 7882/25 187 missions (31.3%) to 6360/26 462 (24.0%), p<0.0001. The need for neighbouring physician-staffed units dropped from 234/25 187 (0.93%) to 119/26 462 (0.45%), p<0.0001, and the need for helicopter EMS from 198/25 187 (0.79%) to 100/26 462 (0.38%), p<0.0001. In the post implementation period 2347 telemedical interventions were conducted, with 26 462 emergency missions (8.87%).
Conclusion
A stepwise implementation strategy allowed transfer from the project phase to routine care. We detected a reduced need for conventional on-scene physician care by ground-based and helicopter-based EMS, but cannot exclude unrecognised confounders, including modified dispatch criteria and possible learning effects. This creates the potential for increased availability of EMS physicians for life-threatening emergencies by shifting physician interventions from conventional to telemedical care.
Trial registration number
NCT04127565 .
Background
Post-stroke Fatigue (PSF) after Intracerebral Hemorrhage (ICH) is a long-term symptom in stroke survivors. However, the pathogenesis of PSF remains inadequately understood and sufficient evidence-based treatments are lacking. Mobile health (mHealth) technology offers a promising approach to expanding access to high-quality and culturally tailored evidence-based mental care.
Aim
This study examined the role of mHealth called iHealth in the management of PSF after ICH.
Methods
A total of 225 patients diagnosed with intracerebral hemorrhage (ICH) were included in the study and randomly assigned to either the Mobile Health Intervention Group (mHI Group) or the non-Mobile Health Intervention Group (non-mHI). The management involved the utilization of a digital healthcare application named iHealth, which incorporated digital questionnaires, fatigue scale tests, and online videos for the purpose of administering the Patient Fatigue Reporting Measurement Information System (PFRMIS) short form as part of the initial patient assessment following ICH. The study was conducted remotely via video conferencing over a 12-week period in mHI Group, with fatigue assessments being conducted 3 months post-ICH onset in two groups.
Results
Following the administration of PSF by iHealth, Univariate Logistic analyses indicated a significant association between fatigue and the type of activity, with patients who were sedentary or did nothing experiencing higher levels of fatigue (β=2.332, p<0.001; β=2.517, p<0.001). Multivariate Logistic analyses demonstrated a positive association between the intensity of physical activity and decreased emotional well-being and family support, as well as increased fatigue. (p=0.001, p=0.002, p=0.001). The FSS results demonstrated a significantly reduced incidence of PSF in the MHI group in comparison to non-mHI group following the conclusion of the programme. (13.1% vs 40%, p<0.001).
Conclusion
This study explored the effectiveness of the iHealth app for PSF following ICH, indicating that iHealth is a clinically valuable tool that warrants further dissemination.
In this narrative review article, by critically appraising the Global Burden of Disease 1990–2017 data on stroke and currently used primary stroke prevention strategies, we show that the global burden of stroke will continue to rise unless new primary stroke and cardiovascular disease (CVD) prevention strategies are urgently implemented. We provide an overview of the advantages and disadvantagesof population-wide and high CVD risk prevention strategies and mobile technologies available for stroke and CVD prevention on individual and population levels. Our recent NZ pilot RCT demonstrated the feasibility, consumer acceptability, motivational value and a clinically important, albeit statistically non-significant, behaviour change, improvement in diet, and awareness of stroke symptoms. We also identify and discuss causes for failure in the currently used primary stroke and CVD prevention strategies and emphasise the importance of complementary use of population-wide and elevated CVD risk strategies (including polypill interventions with blood pressure and lipid-lowering off-patent medications in middle-aged adults with elevated CVD risk) with motivational population-wide strategy to manage lifestyle and behavioural risk factors regardless of the level of stroke risk. The best mix of population-wide and elevated CVD risk-targeted strategiesfor primary stroke and CVD prevention remains to be determined.
Stroke is the fifth leading cause of death in the United States with a huge burden on health care. Acute ischemic stroke (AIS) accounts for 87% of all stroke. The use of thrombolytic agents in AIS treatment is well known since 1950 but no FDA approval until 1996, due to lack of strong evidence showing benefits outweigh the risk of intracranial hemorrhage. The NINDS trial led to the approval of intravenous tissue plasminogen activator treatment (IV recombinant tPA) within 3 h of stroke. Due to this limitation of 3–4.5 h. window, evolution began in the development of effective endovascular therapy (EVT). Multiple trials were unsuccessful in establishing the strong evidence for effectiveness of EVT. In 2015, MR CLEAN trial made progress and showed improved outcomes with EVT in AIS patients with large vessel occlusion (LVO), with 6-h window period. In 2018, two major trials—DAWN and DEFUSE 3—along with few other trials had shown improved outcomes with EVT and stretched window period from 6 to 24 h. AHA Stroke Council is constantly working to provide focused guidelines and recommendations in AIS management since 2013. SVIN had started the initiative “Mission Thrombectomy-2020” to increase global EVT utilization rate 202,000 procedures by 2020. Physicians are using safer and easier approach like brachial and radial approach for EVT. TeleNeurology and artificial intelligence also played a significant role in increasing the availability of IV recombinant tPA in AIS treatment in remote hospitals and also in screening, triaging and identifying LVO patients for EVT. In this review article, we aim to describe the history of stroke management along with the new technological advancements in AIS treatment.
Stroke networks facilitate access to endovascular treatment (EVT) for patients with ischemic stroke due to large vessel occlusion. In this study we aimed to determine the safety of inter-hospital transfer and included all patients with acute ischemic stroke who were transferred within our stroke network for evaluation of EVT between 06/2016 and 12/2018. Data were derived from our prospective EVT database and transfer protocols. We analyzed major complications and medical interventions associated with inter-hospital transfer. Among 615 transferred patients, 377 patients (61.3%) were transferred within our telestroke network and had transfer protocols available (median age 76 years [interquartile range, IQR 17], 190 [50.4%] male, median baseline NIHSS score 17 [IQR 8], 246 [65.3%] drip-and-ship i.v.-thrombolysis). No patient suffered from cardio-respiratory failure or required emergency intubation or cardiopulmonary resuscitation during the transfer. Among 343 patients who were not intubated prior departure, 35 patients (10.2%) required medical interventions during the transfer. The performance of medical interventions was associated with a lower EVT rate and higher mortality at three months. In conclusion, the transfer of acute stroke patients for evaluation of EVT was not associated with major complications and transfer-related medical interventions were required in a minority of patients.
Introduction:
Despite the availability of prevention and therapies of stroke, their implementation in clinical practice, even of low-cost ones, remains poor. In 2015, the European Stroke Organisation (ESO) initiated the ESO Enhancing and Accelerating Stroke Treatment (EAST) program, which aims to improve stroke care quality, primarily in Eastern Europe. Here, we describe its methods and milestones.
Patients and methods:
The ESO EAST program is using an implementation strategy based on a 'detecting-understanding-reducing disparities' conceptual framework: stroke care quality is first measured (after developing a platform for data collection), gaps are identified in the current service delivery, and ultimately feedback is provided to participating hospitals, followed by the application of interventions to reduce disparities. The ESO EAST program is carried out by establishing a stroke quality registry, stroke management infrastructure, and creating education and training opportunities for healthcare professionals.
Results:
Program management and leadership infrastructure has been established in 19 countries (Country Representatives in 22 countries, National Steering Committee in 19 countries). A software platform for data collection and analysis: Registry of Stroke Care Quality was developed, and launched in 2016, and has been used to collect data from over 90,000 patients from >750 hospitals and 56 countries between September 2016 and May 2019. Training in thrombolysis, nursing and research skills has been initiated.
Discussion:
ESO EAST is the first pan-Eastern European (and beyond) multifaceted quality improvement intervention putting evidence-informed policies into practice. Continuous monitoring of stroke care quality allows hospital-to-hospital and country-to-country benchmarking and identification of the gaps and needs in health care.
Background and Purpose—
The purpose of these guidelines is to provide an up-to-date comprehensive set of recommendations in a single document for clinicians caring for adult patients with acute arterial ischemic stroke. The intended audiences are prehospital care providers, physicians, allied health professionals, and hospital administrators. These guidelines supersede the 2013 Acute Ischemic Stroke (AIS) Guidelines and are an update of the 2018 AIS Guidelines.
Methods—
Members of the writing group were appointed by the American Heart Association (AHA) Stroke Council’s Scientific Statements Oversight Committee, representing various areas of medical expertise. Members were not allowed to participate in discussions or to vote on topics relevant to their relations with industry. An update of the 2013 AIS Guidelines was originally published in January 2018. This guideline was approved by the AHA Science Advisory and Coordinating Committee and the AHA Executive Committee. In April 2018, a revision to these guidelines, deleting some recommendations, was published online by the AHA. The writing group was asked review the original document and revise if appropriate. In June 2018, the writing group submitted a document with minor changes and with inclusion of important newly published randomized controlled trials with >100 participants and clinical outcomes at least 90 days after AIS. The document was sent to 14 peer reviewers. The writing group evaluated the peer reviewers’ comments and revised when appropriate. The current final document was approved by all members of the writing group except when relationships with industry precluded members from voting and by the governing bodies of the AHA. These guidelines use the American College of Cardiology/AHA 2015 Class of Recommendations and Level of Evidence and the new AHA guidelines format.
Results—
These guidelines detail prehospital care, urgent and emergency evaluation and treatment with intravenous and intra-arterial therapies, and in-hospital management, including secondary prevention measures that are appropriately instituted within the first 2 weeks. The guidelines support the overarching concept of stroke systems of care in both the prehospital and hospital settings.
Conclusions—
These guidelines provide general recommendations based on the currently available evidence to guide clinicians caring for adult patients with acute arterial ischemic stroke. In many instances, however, only limited data exist demonstrating the urgent need for continued research on treatment of acute ischemic stroke.
Future of clinical development is on the verge of a major transformation due to convergence of large new digital data sources, computing power to identify clinically meaningful patterns in the data using efficient artificial intelligence and machine-learning algorithms, and regulators embracing this change through new collaborations. This perspective summarizes insights, recent developments, and recommendations for infusing actionable computational evidence into clinical development and health care from academy, biotechnology industry, nonprofit foundations, regulators, and technology corporations. Analysis and learning from publically available biomedical and clinical trial data sets, real-world evidence from sensors, and health records by machine-learning architectures are discussed. Strategies for modernizing the clinical development process by integration of AI- and ML-based digital methods and secure computing technologies through recently announced regulatory pathways at the United States Food and Drug Administration are outlined. We conclude by discussing applications and impact of digital algorithmic evidence to improve medical care for patients.
Importance:
Many patients receive suboptimal rehabilitation therapy doses after stroke owing to limited access to therapists and difficulty with transportation, and their knowledge about stroke is often limited. Telehealth can potentially address these issues.
Objectives:
To determine whether treatment targeting arm movement delivered via a home-based telerehabilitation (TR) system has comparable efficacy with dose-matched, intensity-matched therapy delivered in a traditional in-clinic (IC) setting, and to examine whether this system has comparable efficacy for providing stroke education.
Design, setting, and participants:
In this randomized, assessor-blinded, noninferiority trial across 11 US sites, 124 patients who had experienced stroke 4 to 36 weeks prior and had arm motor deficits (Fugl-Meyer [FM] score, 22-56 of 66) were enrolled between September 18, 2015, and December 28, 2017, to receive telerehabilitation therapy in the home (TR group) or therapy at an outpatient rehabilitation therapy clinic (IC group). Primary efficacy analysis used the intent-to-treat population.
Interventions:
Participants received 36 sessions (70 minutes each) of arm motor therapy plus stroke education, with therapy intensity, duration, and frequency matched across groups.
Main outcomes and measures:
Change in FM score from baseline to 4 weeks after end of therapy and change in stroke knowledge from baseline to end of therapy.
Results:
A total of 124 participants (34 women and 90 men) had a mean (SD) age of 61 (14) years, a mean (SD) baseline FM score of 43 (8) points, and were enrolled a mean (SD) of 18.7 (8.9) weeks after experiencing a stroke. Among those treated, patients in the IC group were adherent to 33.6 of the 36 therapy sessions (93.3%) and patients in the TR group were adherent to 35.4 of the 36 assigned therapy sessions (98.3%). Patients in the IC group had a mean (SD) FM score change of 8.36 (7.04) points from baseline to 30 days after therapy (P < .001), while those in the TR group had a mean (SD) change of 7.86 (6.68) points (P < .001). The covariate-adjusted mean FM score change was 0.06 (95% CI, -2.14 to 2.26) points higher in the TR group (P = .96). The noninferiority margin was 2.47 and fell outside the 95% CI, indicating that TR is not inferior to IC therapy. Motor gains remained significant when patients enrolled early (<90 days) or late (≥90 days) after stroke were examined separately.
Conclusions and relevance:
Activity-based training produced substantial gains in arm motor function regardless of whether it was provided via home-based telerehabilitation or traditional in-clinic rehabilitation. The findings of this study suggest that telerehabilitation has the potential to substantially increase access to rehabilitation therapy on a large scale.
Trial registration:
ClinicalTrials.gov identifier: NCT02360488.
Objective:
Stroke is the leading cause of physical disability in the adult population. Technology at the service of medicine provides new solutions for the assessment, treatment, and monitoring of subjects with neurological disorders. Therefore, the aim of this study was to review the use of commercial mobile applications in the therapeutic approach of subjects who have suffered a stroke, as well as to analyze if there is scientific evidence on their use.
Methods:
A search of specific apps for the therapeutic approach to stroke, as well as its possible clinical aftereffects, in the main applications repositories was made: "Google Play" and "App Store". Besides, the possible scientific evidence for each app obtained was analyzed using the following databases: Web of Science, Pubmed, ScienceDirect, Scopus and Google Scholar.
Results:
A total of 45 apps were obtained meeting the criteria established in the study. These were subdivided into different categories: assessment tools (13), therapeutic exercise program (8) perception of laterality and body scheme (7), management of secondary disorders (7), mobility, dexterity and manual coordination (5) and postural correction and ergonomics (5). From the 45 apps obtained, only 10 of them had been used in scientific studies.
Conclusions:
There is a wide variety of commercial mobile applications of great utility and low cost, applicable in the assessment and treatment of subjects who have suffered a stroke, there is even scientific evidence, although limited, about the validity of such apps.
Background
Mobile stroke units (MSUs), equipped with an integrated computed tomography scanner, can shorten time to thrombolytic treatment and may improve outcome in patients with acute ischemic stroke. Original (German) MSUs are staffed by neurologists trained as emergency physicians, but patient assessment and treatment decisions by a remote neurologist may offer an alternative to neurologists aboard MSU.
Methods and Results
Remote neurologists examined and assessed emergency patients treated aboard the MSU in Berlin, Germany. Audiovisual quality was rated by the remote neurologist from 1 (excellent) to 6 (insufficient), and duration of video examinations was assessed. We analyzed interrater reliability of diagnoses, scores on the National Institutes of Health Stroke Scale and treatment decisions (intravenous thrombolysis) between the MSU neurologist and the remote neurologist. We included 90 of 103 emergency assessments (13 patients were excluded because of either failed connection, technical problems, clinical worsening during teleconsultation, or missing data in documentation) in this study. The remote neurologist rated audiovisual quality with a median grade for audio quality of 3 (satisfactory) and for video quality of 2 (good). Mean time for completion of teleconsultations was about 19±5 minutes. The interrater reliabilities between the onboard and remote neurologist were high for diagnoses (Cohen's κ=0.86), National Institutes of Health Stroke Scale sum scores (intraclass correlation coefficient, 0.87) and treatment decisions (16 treatment decisions agreed versus 2 disagreed; Cohen's κ=0.93).
Conclusions
Remote assessment and treatment decisions of emergency patients are technically feasible with satisfactory audiovisual quality. Agreement on diagnoses, neurological examinations, and treatment decisions between onboard and remote neurologists was high.
Background and Purpose: The risk of recurrent stroke following a transient ischemic attack (TIA) or minor stroke is high, despite of a significant reduction in the past decade. In this study, we investigated the feasibility of using artificial neural network (ANN) for risk stratification of TIA or minor stroke patients.
Methods: Consecutive patients with acute TIA or minor ischemic stroke presenting at a tertiary hospital during a 2-year period were recruited. We collected demographics, clinical and imaging data at baseline. The primary outcome was recurrent ischemic stroke within 1 year. We developed ANN models to predict the primary outcome. We randomly down-sampled patients without a primary outcome to 1:1 match with those with a primary outcome to mitigate data imbalance. We used a 5-fold cross-validation approach to train and test the ANN models to avoid overfitting. We employed 19 independent variables at baseline as the input neurons in the ANN models, using a learning algorithm based on backpropagation to minimize the loss function. We obtained the sensitivity, specificity, accuracy and the c statistic of each ANN model from the 5 rounds of cross-validation and compared that of support vector machine (SVM) and Naïve Bayes classifier in risk stratification of the patients.
Results: A total of 451 acute TIA or minor stroke patients were enrolled. Forty (8.9%) patients had a recurrent ischemic stroke within 1 year. Another 40 patients were randomly selected from those with no recurrent stroke, so that data from 80 patients in total were used for 5 rounds of training and testing of ANN models. The median sensitivity, specificity, accuracy and c statistic of the ANN models to predict recurrent stroke at 1 year was 75%, 75%, 75%, and 0.77, respectively. ANN model outperformed SVM and Naïve Bayes classifier in our dataset for predicting relapse after TIA or minor stroke.
Conclusion: This pilot study indicated that ANN may yield a novel and effective method in risk stratification of TIA and minor stroke. Further studies are warranted for verification and improvement of the current ANN model.
Background
Mobile phone apps capable of monitoring arrhythmias and heart rate (HR) are increasingly used for screening, diagnosis, and monitoring of HR and rhythm disorders such as atrial fibrillation (AF). These apps involve either the use of (1) photoplethysmographic recording or (2) a handheld external electrocardiographic recording device attached to the mobile phone or wristband.
Objective
This review seeks to explore the current state of mobile phone apps in cardiac rhythmology while highlighting shortcomings for further research.
Methods
We conducted a narrative review of the use of mobile phone devices by searching PubMed and EMBASE from their inception to October 2018. Potentially relevant papers were then compared against a checklist for relevance and reviewed independently for inclusion, with focus on 4 allocated topics of (1) mobile phone monitoring, (2) AF, (3) HR, and (4) HR variability (HRV).
Results
The findings of this narrative review suggest that there is a role for mobile phone apps in the diagnosis, monitoring, and screening for arrhythmias and HR. Photoplethysmography and handheld electrocardiograph recorders are the 2 main techniques adopted in monitoring HR, HRV, and AF.
Conclusions
A number of studies have demonstrated high accuracy of a number of different mobile devices for the detection of AF. However, further studies are warranted to validate their use for large scale AF screening.
Two previous pan-European consensus meetings, the 1995 and 2006 Helsingborg meetings, were convened to review the scientific evidence and the state of current services to identify priorities for research and development and to set targets for the development of stroke care for the decade to follow. Adhering to the same format, the European Stroke Organisation (ESO) prepared a European Stroke Action Plan (ESAP) for the years 2018 to 2030, in cooperation with the Stroke Alliance for Europe (SAFE). The ESAP included seven domains: primary prevention, organisation of stroke services, management of acute stroke, secondary prevention, rehabilitation, evaluation of stroke outcome and quality assessment and life after stroke. Research priorities for translational stroke research were also identified. Documents were prepared by a working group and were open to public comments. The final document was prepared after a workshop in Munich on 21–23 March 2018. Four overarching targets for 2030 were identified: (1) to reduce the absolute number of strokes in Europe by 10%, (2) to treat 90% or more of all patients with stroke in Europe in a dedicated stroke unit as the first level of care, (3) to have national plans for stroke encompassing the entire chain of care, (4) to fully implement national strategies for multisector public health interventions. Overall, 30 targets and 72 research priorities were identified for the seven domains. The ESAP provides a basic road map and sets targets for the implementation of evidence-based preventive actions and stroke services to 2030.
Background:
Virtual reality and interactive video gaming have emerged as recent treatment approaches in stroke rehabilitation with commercial gaming consoles in particular, being rapidly adopted in clinical settings. This is an update of a Cochrane Review published first in 2011 and then again in 2015.
Objectives:
Primary objective: to determine the efficacy of virtual reality compared with an alternative intervention or no intervention on upper limb function and activity.Secondary objectives: to determine the efficacy of virtual reality compared with an alternative intervention or no intervention on: gait and balance, global motor function, cognitive function, activity limitation, participation restriction, quality of life, and adverse events.
Search methods:
We searched the Cochrane Stroke Group Trials Register (April 2017), CENTRAL, MEDLINE, Embase, and seven additional databases. We also searched trials registries and reference lists.
Selection criteria:
Randomised and quasi-randomised trials of virtual reality ("an advanced form of human-computer interface that allows the user to 'interact' with and become 'immersed' in a computer-generated environment in a naturalistic fashion") in adults after stroke. The primary outcome of interest was upper limb function and activity. Secondary outcomes included gait and balance and global motor function.
Data collection and analysis:
Two review authors independently selected trials based on pre-defined inclusion criteria, extracted data, and assessed risk of bias. A third review author moderated disagreements when required. The review authors contacted investigators to obtain missing information.
Main results:
We included 72 trials that involved 2470 participants. This review includes 35 new studies in addition to the studies included in the previous version of this review. Study sample sizes were generally small and interventions varied in terms of both the goals of treatment and the virtual reality devices used. The risk of bias present in many studies was unclear due to poor reporting. Thus, while there are a large number of randomised controlled trials, the evidence remains mostly low quality when rated using the GRADE system. Control groups usually received no intervention or therapy based on a standard-care approach.
Primary outcome:
results were not statistically significant for upper limb function (standardised mean difference (SMD) 0.07, 95% confidence intervals (CI) -0.05 to 0.20, 22 studies, 1038 participants, low-quality evidence) when comparing virtual reality to conventional therapy. However, when virtual reality was used in addition to usual care (providing a higher dose of therapy for those in the intervention group) there was a statistically significant difference between groups (SMD 0.49, 0.21 to 0.77, 10 studies, 210 participants, low-quality evidence).
Secondary outcomes:
when compared to conventional therapy approaches there were no statistically significant effects for gait speed or balance. Results were statistically significant for the activities of daily living (ADL) outcome (SMD 0.25, 95% CI 0.06 to 0.43, 10 studies, 466 participants, moderate-quality evidence); however, we were unable to pool results for cognitive function, participation restriction, or quality of life. Twenty-three studies reported that they monitored for adverse events; across these studies there were few adverse events and those reported were relatively mild.
Authors' conclusions:
We found evidence that the use of virtual reality and interactive video gaming was not more beneficial than conventional therapy approaches in improving upper limb function. Virtual reality may be beneficial in improving upper limb function and activities of daily living function when used as an adjunct to usual care (to increase overall therapy time). There was insufficient evidence to reach conclusions about the effect of virtual reality and interactive video gaming on gait speed, balance, participation, or quality of life. This review found that time since onset of stroke, severity of impairment, and the type of device (commercial or customised) were not strong influencers of outcome. There was a trend suggesting that higher dose (more than 15 hours of total intervention) was preferable as were customised virtual reality programs; however, these findings were not statistically significant.
Background
Five randomized controlled trials recently demonstrated efficacy of endovascular treatment in acute ischemic stroke. Telestroke networks can improve stroke care in rural areas but their role in patients undergoing endovascular treatment is unknown.
Aim
We compared clinical outcomes of endovascular treatment between anterior circulation stroke patients transferred after teleconsultation and those directly admitted to a tertiary stroke center.
Methods
Data derived from consecutive patients with intracranial large vessel occlusion who underwent endovascular treatment from January 2010 to December 2014 at our tertiary stroke center. We compared baseline characteristics, onset-to-treatment times, symptomatic intracranial hemorrhage, in-hospital mortality, reperfusion (modified Treatment in Cerebral Infarction 2b/3), and favorable functional outcome (modified Rankin scale ≤ 2) at discharge between patients transferred from spoke hospitals and those directly admitted.
Results
We studied 151 patients who underwent emergent endovascular treatment for anterior circulation stroke: median age 70 years (interquartile range, 62–75); 55% men; median National Institutes of Health Stroke Scale score 15 (12–20). Of these, 48 (31.8%) patients were transferred after teleconsultation and 103 (68.2%) were primarily admitted to our emergency department. Transferred patients were younger (p = 0.020), received more frequently intravenous tissue plasminogen activator (p = 0.008), had prolonged time from stroke onset to endovascular treatment initiation (p < 0.0001) and tended to have lower rates of symptomatic intracranial hemorrhage (4.2% vs. 11.7%; p = 0.227) and mortality (8.3% vs. 22.6%; p = 0.041) than directly admitted patients. Similar rates of reperfusion (56.2% vs. 61.2%; p = 0.567) and favorable functional outcome (18.8% vs. 13.7%; p = 0.470) were observed in telestroke patients and those who were directly admitted.
Conclusions
Telestroke networks may enable delivery of endovascular treatment to selected ischemic stroke patients transferred from remote hospitals that is equitable to patients admitted directly to tertiary hospitals.
A point-of-care workflow checklist in the form of an iOS (iPhone Operating System) app for use by stroke providers was introduced with the objective of standardizing acute stroke evaluation and documentation at 2 affiliated academic medical centers. Providers used the app in unselected, consecutive patients undergoing acute stroke evaluation in an emergency department or hospital setting between August 2012 and January 2013 and August 2013 and February 2014. Satisfaction surveys were prospectively collected pre- and postintervention from residents, staff neurologists, and clinical data specialists. Residents (20 preintervention and 16 postintervention), staff neurologists (6 pre and 5 post), and clinical data specialists (4 pre and 4 post) participated in this study. All 16 (100%) residents had increased satisfaction with their ability to perform an acute stroke evaluation postintervention but only 9 (56%) of 16 felt the app was more help than hindrance. Historical controls aligned with preintervention results. Staff neurologists conveyed increased satisfaction with resident presentations and decision making when compared to preintervention surveys. Stroke clinical data specialists estimated a 50% decrease in data abstraction when the app data were used in the clinical note. Concomitant effect on door-to-needle (DTN) time at 1 site, although not a primary study measure, was also evaluated. At that 1 center, the mean DTN time decreased by 16 minutes when compared to the corresponding months from the year prior. The point-of-care acute stroke workflow checklist app may assist trainees in presenting findings in a standardized manner and reduce data abstraction time. The app may help reduce DTN time, but this requires further study.
The market of mobile health (mHealth) apps has rapidly evolved in the past decade. With more than 100,000 mHealth apps currently available, there is no centralized resource that collects information on these health-related apps for researchers in this field to effectively evaluate the strength and weakness of these apps.
The objective of this study was to create a centralized mHealth app repository. We expect the analysis of information in this repository to provide insights for future mHealth research developments.
We focused on apps from the two most established app stores, the Apple App Store and the Google Play Store. We extracted detailed information of each health-related app from these two app stores via our python crawling program, and then stored the information in both a user-friendly array format and a standard JavaScript Object Notation (JSON) format.
We have developed a centralized resource that provides detailed information of more than 60,000 health-related apps from the Apple App Store and the Google Play Store. Using this information resource, we analyzed thousands of apps systematically and provide an overview of the trends for mHealth apps.
This unique database allows the meta-analysis of health-related apps and provides guidance for research designs of future apps in the mHealth field.
Background:
The greatest potential to reduce the burden of stroke is by primary prevention of first-ever stroke, which constitutes three quarters of all stroke. In addition to population-wide prevention strategies (the 'mass' approach), the 'high risk' approach aims to identify individuals at risk of stroke and to modify their risk factors, and risk, accordingly. Current methods of assessing and modifying stroke risk are difficult to access and implement by the general population, amongst whom most future strokes will arise. To help reduce the burden of stroke on individuals and the population a new app, the Stroke Riskometer(TM) , has been developed. We aim to explore the validity of the app for predicting the risk of stroke compared with current best methods.
Methods:
752 stroke outcomes from a sample of 9501 individuals across three countries (New Zealand, Russia and the Netherlands) were utilized to investigate the performance of a novel stroke risk prediction tool algorithm (Stroke Riskometer(TM) ) compared with two established stroke risk score prediction algorithms (Framingham Stroke Risk Score [FSRS] and QStroke). We calculated the receiver operating characteristics (ROC) curves and area under the ROC curve (AUROC) with 95% confidence intervals, Harrels C-statistic and D-statistics for measure of discrimination, R(2) statistics to indicate level of variability accounted for by each prediction algorithm, the Hosmer-Lemeshow statistic for calibration, and the sensitivity and specificity of each algorithm.
Results:
The Stroke Riskometer(TM) performed well against the FSRS five-year AUROC for both males (FSRS = 75.0% (95% CI 72.3%-77.6%), Stroke Riskometer(TM) = 74.0(95% CI 71.3%-76.7%) and females [FSRS = 70.3% (95% CI 67.9%-72.8%, Stroke Riskometer(TM) = 71.5% (95% CI 69.0%-73.9%)], and better than QStroke [males - 59.7% (95% CI 57.3%-62.0%) and comparable to females = 71.1% (95% CI 69.0%-73.1%)]. Discriminative ability of all algorithms was low (C-statistic ranging from 0.51-0.56, D-statistic ranging from 0.01-0.12). Hosmer-Lemeshow illustrated that all of the predicted risk scores were not well calibrated with the observed event data (P < 0.006).
Conclusions:
The Stroke Riskometer(TM) is comparable in performance for stroke prediction with FSRS and QStroke. All three algorithms performed equally poorly in predicting stroke events. The Stroke Riskometer(TM) will be continually developed and validated to address the need to improve the current stroke risk scoring systems to more accurately predict stroke, particularly by identifying robust ethnic/race ethnicity group and country specific risk factors.
Existing methods of primary stroke prevention are not sufficiently effective. Based on the recently developed Stroke Riskometer app, a new 'mass-elevated risk stroke/cardiovascular disease prevention' approach as an addition to the currently adopted absolute risk stroke/cardiovascular disease prevention approach is being advocated. We believe this approach is far more appealing to the individuals concerned and could be as efficient as the conventional population-based approach because it allows identification and engagement in prevention of all individuals who are at an increased (even slightly increased) risk of stroke and cardiovascular disease. The key novelty of this approach is twofold. First, it utilizes modern far-reaching mobile technologies, allowing individuals to calculate their absolute risk of stroke within the next 5 to 10 years and to compare their risk with those of the same age and gender without risk factors. Second, it employs self-management strategies to engage the person concerned in stroke/cardiovascular disease prevention, which is tailored to the person's individual risk profile. Preventative strategies similar to the Stroke Riskometer could be developed for other non-communicable disorders for which reliable predictive models and preventative recommendations exist. This would help reduce the burden of non-communicable disorders worldwide.
Improving medical regimen adherence is essential for maximizing the therapeutic potential of treatments for pediatric chronic illness. Health care providers are uniquely positioned to deliver adherence promotion interventions. However, no studies have summarized the effectiveness of health care provider-delivered adherence interventions. The objective of this study was to describe the effectiveness of health care provider-delivered adherence promotion interventions in improving adherence among children who have chronic illness. Data sources include PubMed, PsycINFO, CINAHL, and Scopus. Studies were included if they were randomized-controlled trials of pediatric interventions aiming to increase adherence to the primary regimen for a chronic illness and at least 1 health care provider delivered the intervention.
A total of 35 randomized-controlled studies including 4616 children were included. Greater improvements in adherence were observed immediately after health care provider-delivered interventions (d = 0.49; 95% confidence interval, 0.32 to 0.66) than at longer-term follow-up (d = 0.32; 95% confidence interval, 0.10 to 0.54). Treatment effect sizes differed across the adherence behaviors measured. There was significant heterogeneity in treatment effects; however, no moderators of treatment effectiveness were identified. This meta-analysis focused on the published literature. In addition, the majority of studies involved children who had asthma and younger children.
Health care provider-delivered interventions for children who have chronic illness can be effective in improving adherence. Gains in adherence are highest immediately after intervention. Future interventions and studies should include multiple methods of assessing adherence, include active comparators, and address long-term maintenance of adherence gains.
Purpose
The benefits of thrombolytic treatment are time-dependent. We developed a smartphone application that aids stroke patient self-screening and hospital selection, and may also decrease hospital arrival time.
Materials and Methods
The application was developed for iPhone and Android smartphones. Map data for the application were adopted from the open map. For hospital registration, a web page (http://stroke119.org) was developed using PHP and MySQL.
Results
The Stroke 119 application includes a stroke screening tool and real-time information on nearby hospitals that provide thrombolytic treatment. It also provides information on stroke symptoms, thrombolytic treatment, and prescribed actions when stroke is suspected. The stroke screening tool was adopted from the Cincinnati Prehospital Stroke Scale and is displayed in a cartoon format. If the user taps a cartoon image that represents abnormal findings, a pop-up window shows that the user may be having a stroke, informs the user what to do, and directs the user to call emergency services. Information on nearby hospitals is provided in map and list views, incorporating proximity to the user's location using a Global Positioning System (a built-in function of smartphones). Users can search for a hospital according to specialty and treatment levels. We also developed a web page for hospitals to register in the system. Neurology training hospitals and hospitals that provide acute stroke care in Korea were invited to register. Seventy-seven hospitals had completed registration.
Conclusion
This application may be useful for reducing hospital arrival times for thrombolytic candidates.
Background:
Telerehabilitation is an alternative way of delivering rehabilitation services. Information and communication technologies are used to facilitate communication between the healthcare professional and the patient in a remote location. The use of telerehabilitation is becoming more viable as the speed and sophistication of communication technologies improve. However, it is currently unclear how effective this model of delivery is relative to rehabilitation delivered face-to-face.
Objectives:
To determine whether the use of telerehabilitation leads to improved ability to perform activities of daily living amongst stroke survivors when compared with (1) in-person rehabilitation (when the clinician and the patient are at the same physical location and rehabilitation is provided face-to-face); or (2) no rehabilitation. Secondary objectives were to determine whether use of telerehabilitation leads to greater independence in self care and domestic life and improved mobility, health-related quality of life, upper limb function, cognitive function or functional communication when compared with in-person rehabilitation and no rehabilitation. Additionally, we aimed to report on the presence of adverse events, cost-effectiveness, feasibility and levels of user satisfaction associated with telerehabilitation interventions.
Search methods:
We searched the Cochrane Stroke Group Trials Register (November 2012), the Cochrane Effective Practice and Organization of Care Group Trials Register (November 2012), the Cochrane Central Register of Controlled Trials (The Cochrane Library, Issue 11, 2012), MEDLINE (1950 to November 2012), EMBASE (1980 to November 2012) and eight additional databases. We searched trial registries, conference proceedings and reference lists.
Selection criteria:
Randomised controlled trials (RCTs) of telerehabilitation in stroke. We included studies that compared telerehabilitation with in-person rehabilitation or no rehabilitation. In addition, we synthesised and described the results of RCTs that compared two different methods of delivering telerehabilitation services without an alternative group. We included rehabilitation programmes that used a combination of telerehabilitation and in-person rehabilitation provided that the greater proportion of intervention was provided via telerehabilitation.
Data collection and analysis:
Two review authors independently identified trials on the basis of prespecified inclusion criteria, extracted data and assessed risk of bias. A third review author moderated any disagreements. The review authors contacted investigators to ask for missing information.
Main results:
We included in the review 10 trials involving a total of 933 participants. The studies were generally small, and reporting quality was often inadequate, particularly in relation to blinding of outcome assessors and concealment of allocation. Selective outcome reporting was apparent in several studies. Study interventions and comparisons varied, meaning that in most cases, it was inappropriate to pool studies. Intervention approaches included upper limb training, lower limb and mobility retraining, case management and caregiver support. Most studies were conducted with people in the chronic phase following stroke.
Primary outcome:
no statistically significant results for independence in activities of daily living (based on two studies with 661 participants) were noted when a case management intervention was evaluated.
Secondary outcomes:
no statistically significant results for upper limb function (based on two studies with 46 participants) were observed when a computer programme was used to remotely retrain upper limb function. Evidence was insufficient to draw conclusions on the effects of the intervention on mobility, health-related quality of life or participant satisfaction with the intervention. No studies evaluated the cost-effectiveness of telerehabilitation. No studies reported on the occurrence of adverse events within the studies.
Authors' conclusions:
We found insufficient evidence to reach conclusions about the effectiveness of telerehabilitation after stroke. Moreover, we were unable to find any randomised trials that included an evaluation of cost-effectiveness. Which intervention approaches are most appropriately adapted to a telerehabilitation approach remain unclear, as does the best way to utilise this approach.
Abstract The use of telemedicine, especially as it is relates to telestroke, has significantly expanded over the past one or two decades. The fact that stroke therapy is a time-critical disease process, coupled with the relative paucity of stroke-trained practitioners, makes telestroke an attractive technique of care. The authors' objective was to summarize the evidence that support the reliability of telemedicine for diagnosis and efficacy in acute stroke treatment in collaboration between hospitals in two different countries.
Background:
Virtual reality and interactive video gaming have emerged as recent treatment approaches in stroke rehabilitation. In particular, commercial gaming consoles have been rapidly adopted in clinical settings. This is an update of a Cochrane Review published in 2011.
Objectives:
Primary objective:
To determine the efficacy of virtual reality compared with an alternative intervention or no intervention on upper limb function and activity.
Secondary objective:
To determine the efficacy of virtual reality compared with an alternative intervention or no intervention on: gait and balance activity, global motor function, cognitive function, activity limitation, participation restriction and quality of life, voxels or regions of interest identified via imaging, and adverse events. Additionally, we aimed to comment on the feasibility of virtual reality for use with stroke patients by reporting on patient eligibility criteria and recruitment.
Search methods:
We searched the Cochrane Stroke Group Trials Register (October 2013), the Cochrane Central Register of Controlled Trials (The Cochrane Library 2013, Issue 11), MEDLINE (1950 to November 2013), EMBASE (1980 to November 2013) and seven additional databases. We also searched trials registries and reference lists.
Selection criteria:
Randomised and quasi-randomised trials of virtual reality ("an advanced form of human-computer interface that allows the user to 'interact' with and become 'immersed' in a computer-generated environment in a naturalistic fashion") in adults after stroke. The primary outcome of interest was upper limb function and activity. Secondary outcomes included gait and balance function and activity, and global motor function.
Data collection and analysis:
Two review authors independently selected trials based on pre-defined inclusion criteria, extracted data and assessed risk of bias. A third review author moderated disagreements when required. The authors contacted investigators to obtain missing information.
Main results:
We included 37 trials that involved 1019 participants. Study sample sizes were generally small and interventions varied. The risk of bias present in many studies was unclear due to poor reporting. Thus, while there are a large number of randomised controlled trials, the evidence remains 'low' or 'very low' quality when rated using the GRADE system. Control groups received no intervention or therapy based on a standard care approach. Intervention approaches in the included studies were predominantly designed to improve motor function rather than cognitive function or activity performance. The majority of participants were relatively young and more than one year post stroke.
Primary outcome:
results were statistically significant for upper limb function (standardised mean difference (SMD) 0.28, 95% confidence intervals (CI) 0.08 to 0.49 based on 12 studies with 397 participants).
Secondary outcomes:
there were no statistically significant effects for grip strength, gait speed or global motor function. Results were statistically significant for the activities of daily living (ADL) outcome (SMD 0.43, 95% CI 0.18 to 0.69 based on eight studies with 253 participants); however, we were unable to pool results for cognitive function, participation restriction, quality of life or imaging studies. There were few adverse events reported across studies and those reported were relatively mild. Studies that reported on eligibility rates showed that only 26% of participants screened were recruited.
Authors' conclusions:
We found evidence that the use of virtual reality and interactive video gaming may be beneficial in improving upper limb function and ADL function when used as an adjunct to usual care (to increase overall therapy time) or when compared with the same dose of conventional therapy. There was insufficient evidence to reach conclusions about the effect of virtual reality and interactive video gaming on grip strength, gait speed or global motor function. It is unclear at present which characteristics of virtual reality are most important and it is unknown whether effects are sustained in the longer term.
Assessing both stroke patients and their CT scans by using a conventional videoconference system offers an interesting opportunity to improve stroke care in rural areas. However, until now there have been no studies to suggest whether this method is feasible in routine stroke management.
Seven rural hospitals in the southern part of Germany in Swabia were connected to the stroke unit of Günzburg with the use of a videoconference link (Telemedicine in Stroke in Swabia [TESS] Project). The local physicians are free to present every admitted stroke patient to the Günzburg stroke expert, who can assess the clinical status and CT images, thereafter giving therapeutic recommendations. All teleconsultations are rated concerning transmission quality and relevance of telemedicine for stroke management.
A total of 153 stroke patients were examined by teleconsultation. Mean age was 67.5 years. Eighty-seven patients had suffered an ischemic stroke, 9 had an intracerebral hemorrhage, and 17 suffered a transient ischemic attack. Forty patients were revealed to have a diagnosis other than stroke. Duration of teleconsultation was 15 minutes on average. User satisfaction was good concerning imaging and audio quality, and patient satisfaction was very good or good in all cases. Relevant contributions could be made in >75% of the cases concerning diagnostic workup, CT assessment, and therapeutic recommendations.
Teleconsultation using a videoconference system seems to be a feasible and promising method to improve stroke care in rural areas where management in a stroke unit is hindered by long transportation distances.
Systemic thrombolysis represents the only proven therapy for acute ischemic stroke, but safe treatment is reported only in established stroke units. One major goal of the ongoing Telemedic Pilot Project for Integrative Stroke Care (TEMPiS) in Bavaria is to extend the use of tissue plasminogen activator (tPA) treatment in nonurban areas through telemedic support.
The stroke centers in Munich-Harlaching and in Regensburg established a telestroke network to provide consultations for 12 local hospitals in eastern Bavaria. The telemedic system consists of a digital network that includes a 2-way video conference system and CT/MRI image transfer with a high-speed data transmission up to 2 Mb/s. Each network hospital established specialized stroke wards in which qualified teams treat acute stroke patients. Physicians in these hospitals are able to contact the stroke centers 24 hours per day.
A total of 106 systemic thrombolyses were indicated via teleconsultations between February 1, 2003, and April 7, 2004. During the first 12 months, the rate of thrombolyses was 2.1% of all stroke patients. Mean age was 68 years, and median National Institutes of Health Stroke Scale score was 13. Mean delay between onset and hospital admission was 65 minutes, and door-to-needle time was on average 76 minutes, which included 15 minutes for the teleconsultation. Symptomatic hemorrhage occurred in 8.5% of patients, and in-hospital mortality was 10.4%.
The present data suggest that systemic thrombolysis indicated via stroke experts in the setting of teleconsultation exhibits similar complication rates to those reported in the National Institute of Neurological Disorders and Stroke trial. Therefore, tPA treatment is also safe in this context and can be extended to nonurban areas.
Background: There is a continuous need to improve efficiency and quality of care. In response, the Electronic Stroke CarePath (ESCP) was developed for management of ischemic stroke patients. We describe the development, implementation and outcomes of the first 2 years of this initiative.
Methods: The ESCP consists of care pathways for ischemic stroke that are integrated within the EHR (Epic) and includes systematic collection of patient-reported outcomes (PROs). Main components of the EHR integration included a navigation panel, the use of structured forms with elements that autopopulate templates, and clinical decision support. An external software platform was used to collect PROs. Inpatient mortality and length of stay (LOS) were compared before and after implementation in ischemic stroke patients and in 2 control groups: ICH and SAH patients, after adjustment for case-mix. Postdischarge functional outcomes of ischemic stroke patients were compared between the 1st 3 months of rollout and remainder of the study period.<br
Results: The ESCP was implemented in Sep 2010 and modified over the first 3 months. Data were analyzed from Jan 2011- Dec 2012. There were 1106 patients with mean age 66.2 yrs and admission NIHSS 5; 46.1% were women.
There was a significant reduction in observed/predicted inpatient mortality after implementation of the ESCP in ischemic stroke patients (OR 0.59 [95% CI 0.42-0.83], but not in the control patients with ICH (OR 0.90 [0.59 - 1.38]) or SAH (OR 1.05 [0.67 - 1.65]). . Similarly, a significant increase in the proportion with LOS < predicted after ESCP implementation was seen only in ischemic stroke pts (51.4% vs 56.0%, p=0.047). Compared to those admitted within the 1st 3 mo of ESCP rollout, ischemic pts admitted in the remainder of the study period demonstrated nonsignificant improvements in degree of impairment (NIHSS, 3.9 to 2.7, p=0.059), IADLs (modified Rankin, 2.6 to 2.2, p=0.079) and physical function (SIS16, 67.8 - 76.0, p=0.084) at followup.
Conclusion: Implementation of the ESCP is feasible and may be associated with a benefit in multiple different outcomes after ischemic stroke. This approach, which combines carepaths, HIT, and the systematic collection of PROs, may be an important strategy for optimizing stroke care in the future.
Stroke is a leading cause of disability, and with the stroke survivor population rising in most countries it is increasingly difficult to provide optimal treatment to patients once they return home. Assistive technology solutions can potentially contribute to meeting demand, and also be cost effective. In this chapter, we consider the design and development of engaging serious virtual reality (VR) games for upper arm stroke rehabilitation. Fundamental design principles are summarised and related to our experience of creating game-based VR rehabilitation. The application of ideas from psychology, particularly behavioural change and flow theory are discussed, as well as related learning and gamification principles. We address how to manage differences between people through design, user profiling, and intelligent dynamic system behaviour, and we also explore how to account for variation in stroke survivor capability and personality. The idea of a hero’s journey as a metaphor for stroke recovery is introduced and we discuss how this metaphor may guide system design, its relationship to game design principles, and how patient narratives and embedded stories might support engagement with treatment. An overview of our previous work is summarised and we discuss how our experience and increased knowledge and capability has informed improved approaches to development processes. Finally, our approach is illustrated with reference to a recent EU project.
Background:
Telerehabilitation offers an alternate way of delivering rehabilitation services. Information and communication technologies are used to facilitate communication between the healthcare professional and the patient in a remote location. The use of telerehabilitation is becoming more viable as the speed and sophistication of communication technologies improve. However, it is currently unclear how effective this model of delivery is relative to rehabilitation delivered face-to-face or when added to usual care.
Objectives:
To determine whether the use of telerehabilitation leads to improved ability to perform activities of daily living amongst stroke survivors when compared with (1) in-person rehabilitation (when the clinician and the patient are at the same physical location and rehabilitation is provided face-to-face); or (2) no rehabilitation or usual care. Secondary objectives were to determine whether use of telerehabilitation leads to greater independence in self-care and domestic life and improved mobility, balance, health-related quality of life, depression, upper limb function, cognitive function or functional communication when compared with in-person rehabilitation and no rehabilitation. Additionally, we aimed to report on the presence of adverse events, cost-effectiveness, feasibility and levels of user satisfaction associated with telerehabilitation interventions.
Search methods:
We searched the Cochrane Stroke Group Trials Register (June 2019), the Cochrane Central Register of Controlled Trials (the Cochrane Library, Issue 6, 2019), MEDLINE (Ovid, 1946 to June 2019), Embase (1974 to June 2019), and eight additional databases. We searched trial registries and reference lists.
Selection criteria:
Randomised controlled trials (RCTs) of telerehabilitation in stroke. We included studies that compared telerehabilitation with in-person rehabilitation or no rehabilitation. In addition, we synthesised and described the results of RCTs that compared two different methods of delivering telerehabilitation services without an alternative group. We included rehabilitation programmes that used a combination of telerehabilitation and in-person rehabilitation provided that the greater proportion of intervention was provided via telerehabilitation.
Data collection and analysis:
Two review authors independently identified trials on the basis of prespecified inclusion criteria, extracted data and assessed risk of bias. A third review author moderated any disagreements. The review authors contacted investigators to ask for missing information. We used GRADE to assess the quality of the evidence and interpret findings.
Main results:
We included 22 trials in the review involving a total of 1937 participants. The studies ranged in size from the inclusion of 10 participants to 536 participants, and reporting quality was often inadequate, particularly in relation to random sequence generation and allocation concealment. Selective outcome reporting and incomplete outcome data were apparent in several studies. Study interventions and comparisons varied, meaning that, in many cases, it was inappropriate to pool studies. Intervention approaches included post-hospital discharge support programs, upper limb training, lower limb and mobility retraining and communication therapy for people with post-stroke language disorders. Studies were either conducted upon discharge from hospital or with people in the subacute or chronic phases following stroke.
Primary outcome:
we found moderate-quality evidence that there was no difference in activities of daily living between people who received a post-hospital discharge telerehabilitation intervention and those who received usual care (based on 2 studies with 661 participants (standardised mean difference (SMD) -0.00, 95% confidence interval (CI) -0.15 to 0.15)). We found low-quality evidence of no difference in effects on activities of daily living between telerehabilitation and in-person physical therapy programmes (based on 2 studies with 75 participants: SMD 0.03, 95% CI -0.43 to 0.48).
Secondary outcomes:
we found a low quality of evidence that there was no difference between telerehabilitation and in-person rehabilitation for balance outcomes (based on 3 studies with 106 participants: SMD 0.08, 95%CI -0.30 to 0.46). Pooling of three studies with 569 participants showed moderate-quality evidence that there was no difference between those who received post-discharge support interventions and those who received usual care on health-related quality of life (SMD 0.03, 95% CI -0.14 to 0.20). Similarly, pooling of six studies (with 1145 participants) found moderate-quality evidence that there was no difference in depressive symptoms when comparing post-discharge tele-support programs with usual care (SMD -0.04, 95% CI -0.19 to 0.11). We found no difference between groups for upper limb function (based on 3 studies with 170 participants: mean difference (MD) 1.23, 95% CI -2.17 to 4.64, low-quality evidence) when a computer program was used to remotely retrain upper limb function in comparison to in-person therapy. Evidence was insufficient to draw conclusions on the effects of telerehabilitation on mobility or participant satisfaction with the intervention. No studies evaluated the cost-effectiveness of telerehabilitation; however, five of the studies reported health service utilisation outcomes or costs of the interventions provided within the study. Two studies reported on adverse events, although no serious trial-related adverse events were reported.
Authors' conclusions:
While there is now an increasing number of RCTs testing the efficacy of telerehabilitation, it is hard to draw conclusions about the effects as interventions and comparators varied greatly across studies. In addition, there were few adequately powered studies and several studies included in this review were at risk of bias. At this point, there is only low or moderate-level evidence testing whether telerehabilitation is a more effective or similarly effective way to provide rehabilitation. Short-term post-hospital discharge telerehabilitation programmes have not been shown to reduce depressive symptoms, improve quality of life, or improve independence in activities of daily living when compared with usual care. Studies comparing telerehabilitation and in-person therapy have also not found significantly different outcomes between groups, suggesting that telerehabilitation is not inferior. Some studies reported that telerehabilitation was less expensive to provide but information was lacking about cost-effectiveness. Only two trials reported on whether or not any adverse events had occurred; these trials found no serious adverse events were related to telerehabilitation. The field is still emerging and more studies are needed to draw more definitive conclusions. In addition, while this review examined the efficacy of telerehabilitation when tested in randomised trials, studies that use mixed methods to evaluate the acceptability and feasibility of telehealth interventions are incredibly valuable in measuring outcomes.
Background and Purpose—
The increasing demand and shortage of experts to evaluate and treat acute stroke patients has led to the development of remote communication tools to aid stroke management. We aimed to evaluate the JOIN App smartphone system—a low-cost tool for rapid clinical and neuroimaging data sharing to expedite decision-making in stroke.
Methods—
Consecutive acute ischemic stroke patients treated at a University Hospital in Brazil from December 2014 to December 2015 were evaluated. The analysis included all patients presenting with acute ischemic stroke who underwent initial evaluation by neurology residents followed by JOIN teleconsultation with a stroke neurologist on call for management decisions. An expert panel of stroke neurologists and neuroradiologists revised all cases using a standard Picture Archiving and Communication System imaging workstation within 24 hours and analyzed the decision made with remote assistance during the emergency setting.
Results—
A total of 720 stroke codes were evaluated with 442 acute ischemic stroke qualifying. Seventy-eight (18%) patients were treated with intravenous thrombolysis. The main reasons for tPA (tissue-type plasminogen activator) exclusion were symptom onset >4.5 hours (n=295; 67%) and hypodense middle cerebral artery territory area >1/3 (n=31; 7%). The agreement rates between Picture Archiving and Communication System versus JOIN-based thrombolysis decisions were 100% for the stroke (unblinded) and 99.3% for the neuroradiologist (blinded) experts. The use of the application resulted in a significant reduction in the door-to-needle times across the pre- versus postimplementation periods (median, 90 [interquartile range, 75–106] versus 63 [interquartile range, 61–117] minutes; P =0.03). The rates of 90-day excellent outcomes (modified Rankin Scale, 0–1) were 51.3%; 90-day mortality, 2.6%; and symptomatic intracranial hemorrhage, 3.8%.
Conclusions—
The JOIN smartphone system allows rapid sharing of clinical and imaging data to facilitate decisions for stroke treatment. The remote application-based decisions seem to be as accurate as the physical presence of stroke experts and might lead to faster times to treatment. This system represents an easily implementable low-cost telemedicine solution for centers that cannot afford the full-time presence of stroke specialists.
Background:
Optical sensors on wearable devices can detect irregular pulses. The ability of a smartwatch application (app) to identify atrial fibrillation during typical use is unknown.
Methods:
Participants without atrial fibrillation (as reported by the participants themselves) used a smartphone (Apple iPhone) app to consent to monitoring. If a smartwatch-based irregular pulse notification algorithm identified possible atrial fibrillation, a telemedicine visit was initiated and an electrocardiography (ECG) patch was mailed to the participant, to be worn for up to 7 days. Surveys were administered 90 days after notification of the irregular pulse and at the end of the study. The main objectives were to estimate the proportion of notified participants with atrial fibrillation shown on an ECG patch and the positive predictive value of irregular pulse intervals with a targeted confidence interval width of 0.10.
Results:
We recruited 419,297 participants over 8 months. Over a median of 117 days of monitoring, 2161 participants (0.52%) received notifications of irregular pulse. Among the 450 participants who returned ECG patches containing data that could be analyzed - which had been applied, on average, 13 days after notification - atrial fibrillation was present in 34% (97.5% confidence interval [CI], 29 to 39) overall and in 35% (97.5% CI, 27 to 43) of participants 65 years of age or older. Among participants who were notified of an irregular pulse, the positive predictive value was 0.84 (95% CI, 0.76 to 0.92) for observing atrial fibrillation on the ECG simultaneously with a subsequent irregular pulse notification and 0.71 (97.5% CI, 0.69 to 0.74) for observing atrial fibrillation on the ECG simultaneously with a subsequent irregular tachogram. Of 1376 notified participants who returned a 90-day survey, 57% contacted health care providers outside the study. There were no reports of serious app-related adverse events.
Conclusions:
The probability of receiving an irregular pulse notification was low. Among participants who received notification of an irregular pulse, 34% had atrial fibrillation on subsequent ECG patch readings and 84% of notifications were concordant with atrial fibrillation. This siteless (no on-site visits were required for the participants), pragmatic study design provides a foundation for large-scale pragmatic studies in which outcomes or adherence can be reliably assessed with user-owned devices. (Funded by Apple; Apple Heart Study ClinicalTrials.gov number, NCT03335800.).
Despite recent advances in acute stroke care, the risk of recurrent stroke remains high. On behalf of the Belgian Stroke Council (BSC), a nurse-led self-management program was developed, using a personal coach and digital platform with the aim of improving cardiovascular risk factor control in patients after ischemic stroke. The program was implemented in four Belgian hospitals. The stroke coach provided one educational session during hospitalization. After discharge, the patient received tips and tricks concerning a healthy lifestyle through the customized platform. The stroke coach set up video appointments through the platform at regular intervals. Primary endpoint of our study was the change in SCORE (Systematic COronary Risk Evaluation: High and Low cardiovascular Risk Charts) risk at baseline and 6 months compared with a historical control group who received standard care. A total of 147 patients were included for a follow-up period of 6 months. The mean SCORE in the intervention group showed a statistically significant reduction of 3.2 (p < 0.001) at 6 months. However, comparison between control and intervention groups was non-significant (p = 0.55). Secondary endpoints are promising with a medication adherence of 96%. Reported quality of life also improved (p < 0.001). No significant improvement in the modified Rankin scale (mRS) was observed (p = 0.720). Five percent of patients suffered a recurrent stroke. Our project consisting of a coached lifestyle intervention and digital platform shows promise in improving stroke recurrence rates, therapeutic adherence and quality of life in a Belgian healthcare setting.
Background:
Recent studies estimate nearly half of the US population can access mobile medical applications (apps) on their smartphones. The are no systematic data available on apps focused on stroke survivors/caregivers.
Objective:
To identify apps (a) designed for stroke survivors/caregivers, (b) dealing with a modifiable stroke risk factor (SRF), or (c) were developed for other purposes but could potentially be used by stroke survivors/caregivers.
Methods:
A systematic review of the medical apps in the US Apple iTunes store was conducted between August 2013 and January 2016 using 18 predefined inclusion/exclusion criteria. SRFs considered were: diabetes, hypertension, smoking, obesity, atrial fibrillation, and dyslipidemia.
Results:
Out of 30,132 medical apps available, 843 (2.7%) eligible apps were identified. Of these apps, (n = 74, 8.7%) apps were specifically designed for stroke survivors/caregivers use and provided the following services: language/speech therapy (n = 28, 37%), communication with aphasic patients (n = 19, 25%), stroke risk calculation (n = 11, 14%), assistance in spotting an acute stroke (n = 8, 10%), detection of atrial fibrillation (n = 3, 4%), direction to nearby emergency room (n = 3, 4%), physical rehabilitation (n = 3, 4%), direction to the nearest certified stroke center (n = 1, < 2%), and visual attention therapy (n = 1, <2%). 769 apps identified that were developed for purposes other than stroke. Of these, the majority (n = 526, 68%) addressed SRFs.
Conclusions:
Over 70 medical apps exist to specifically support stroke survivors/caregivers and primarily targeted language and communication difficulties. Apps encompassing most stroke survivor/caregiver needs could be developed and tested to ensure the issues faced by these populations are being adequately addressed.
Introduction:
Recent exploratory analysis suggested comparable outcomes among stroke patients undergoing endovascular therapy (EVT) for anterior circulation large vessel occlusion, whether selected via the telestroke network or admitted directly to an EVT-capable centre. We further studied the role of telemedicine in selection of ischaemic stroke patients potentially eligible for EVT.
Methods:
We prospectively included consecutive ischaemic stroke patients with anterior circulation large vessel occlusion who underwent EVT at our neurovascular centre (January 2016 to March 2018). We compared safety and efficacy including symptomatic intracerebral haemorrhage (sICH), successful reperfusion (mTICI 2b/3), 90-day favourable outcome (mRS ≤ 2) and 90-day survival between patients transferred from telestroke hospitals and patients directly admitted.
Results:
Of 280 potentially EVT-eligible patients, 72/129 (56%) telestroke and 91/151 (60%) direct admissions eventually underwent EVT (age 76 (66-82) years, median (interquartile range), 46% men, NIHSS score 17 (13-20)). Telestroke patients had larger pre-EVT infarct cores (ASPECTS: 7 (6-8) vs. 8 (7-9); p < 0.0001) and shorter door-to-groin puncture times (71 (56-84) vs. 101 (79-133) min; p < 0.0001) than directly admitted patients. sICH (2.8% vs. 1.1%; p = 0.58), successful reperfusion (81% vs. 77%; p = 0.56), 90-day favourable outcome (25% vs. 29%; p = 0.65) and 90-day survival (73% vs. 67%; p = 0.39) rates were comparable among telestroke and direct admissions.
Discussion:
Our data underpins the important role of telemedicine in identifying acute ischaemic stroke patients lacking immediate access to EVT-capable stroke centres. Stroke patients selected via telemedicine and those directly admitted had comparable chances of favourable outcomes after EVT for large vessel occlusion.
Background and Purpose- Risk factor control and treatment compliance in the following months after stroke are poor. We aim to validate a digital platform for smartphones to raise awareness among patients about the need to adopt healthy lifestyle, improve communication with medical staff, and treatment compliance. Methods- Farmalarm is an application (app) for smartphones designed to increase stroke awareness by medication alerts and compliance control, chat communication with medical staff, didactic video files, exercise monitoring. Patients with stroke discharged home were screened for participation and divided into groups: to follow the FARMALARM program for 3 to 4 weeks or standard of care follow-up. We determined achievement of risk factor control goals at 90 days. Results- From August 2015 to December 2016, from the 457 patients discharged home, 159 (34.8%) were included: Farmalarm (n=107); age 57±12, Control (n=52), age 59±10; without significant differences in baseline characteristics between groups. At 90 days, knowledge of vascular risk factors was higher in FARMALARM group (86.0% versus 69.2%, P<0.01). The rate of patients with diabetes mellitus (83.2% versus 63.5%, P<0.01) and hypercholesterolemia (80.3% versus 63.5%, P=0.03) under control and the rate of patients with 4 out of 4 risk factors under control was higher in FARMALARM group (50.4% versus 30.7%, P=0.02). A regression model showed that the use of Farmalarm was independently associated with all risk factors under control at 90 days (odds ratio, 2.3; 95% CI, 1.14-4.6; P=0.02). Conclusions- In patients with stroke discharged home, the use of mobile apps to monitor medication compliance and increase stroke awareness is feasible and seems to improve the control of vascular risk factors.
Current clinical practice relies on clinical history to determine the time since stroke onset (TSS). Imaging-based determination of acute stroke onset time could provide critical information to clinicians in deciding stroke treatment options such as thrombolysis. Patients with unknown or unwitnessed TSS are usually excluded from thrombolysis, even if their symptoms began within the therapeutic window. In this work, we demonstrate a machine learning approach for TSS classification using routinely acquired imaging sequences. We develop imaging features from the magnetic resonance (MR) images and train machine learning models to classify TSS. We also propose a deep learning model to extract hidden representations for the MR perfusion-weighted images and demonstrate classification improvement by incorporating these additional deep features. The cross-validation results show that our best classifier achieved an area under the curve of 0.765, with a sensitivity of 0.788 and a negative predictive value of 0.609, outperforming existing methods. We show that the features generated by our deep learning algorithm correlate with MR imaging features, and validate the robustness of the model on imaging parameter variations (e.g., year of imaging). This work advances magnetic resonance imaging (MRI) analysis one step closer to an operational decision support tool for stroke treatment guidance.
Background and purpose:
Mobile stroke units (MSUs) are known to increase the proportion of acute ischemic stroke (AIS) patients treated with intravenous thrombolysis (IVT) in the first golden hour (GH) after onset compared with hospital settings (HS). However, because of the low number of AIS patients treated with intravenous thrombolysis within this ultraearly time window in conventional care, characteristics, and outcome of this subgroup of AIS patients have not been compared between MSU and HS.
Methods:
MSU-GH patients were selected from the Berlin-based MSU (STEMO [Stroke Emergency Mobile]), whereas HS-GH patients were selected from the SITS-EAST (Safe Implementation of Treatments in Stroke-East) registry. The outcome events of interest included the rates of favorable functional outcome (modified Rankin Scale scores of 0 or 1), distribution of the modified Rankin Scale scores, and mortality after 3 months between MSU-GH and HS-GH groups.
Results:
We identified 117 MSU-GH (38.4% of 305 MSU-treated patients) and 136 HS-GH (0.9% of 15 591 HS-treated patients) eligible patients without prestroke disability. No significant differences were documented in the rates of favorable functional outcome (51.3% versus 46.2%, P=0.487) and mortality (7.7% versus 9.9%, P=0.576) at 3 months, or in the distribution of 3-month modified Rankin Scale scores between the 2 groups (P=0.196). In multivariable logistic regression analyses, adjusting for potential confounders, MSU treatment was not associated with a significantly different likelihood of favorable functional outcome (odds ratio, 1.84 for MSU patients; 95% CI, 0.86-3.96) or mortality (odds ratio, 0.95; 95% CI, 0.28-3.20) at 3 months.
Conclusions:
There is no evidence that safety and efficacy of ultraearly intravenous thrombolysis for AIS differs when used in MSUs or in HS.
Background and purpose:
The Emergency Medical Services field triage to stroke centers has gained considerable complexity with the recent demonstration of clinical benefit of endovascular treatment for acute ischemic stroke. We sought to describe a new smartphone freeware application designed to assist Emergency Medical Services professionals with the field assessment and destination triage of patients with acute ischemic stroke.
Methods:
Review of the application's platform and its development as well as the different variables, assessments, algorithms, and assumptions involved.
Results:
The FAST-ED (Field Assessment Stroke Triage for Emergency Destination) application is based on a built-in automated decision-making algorithm that relies on (1) a brief series of questions assessing patient's age, anticoagulant usage, time last known normal, motor weakness, gaze deviation, aphasia, and hemineglect; (2) a database of all regional stroke centers according to their capability to provide endovascular treatment; and (3) Global Positioning System technology with real-time traffic information to compute the patient's eligibility for intravenous tissue-type plasminogen activator or endovascular treatment as well as the distances/transportation times to the different neighboring stroke centers in order to assist Emergency Medical Services professionals with the decision about the most suitable destination for any given patient with acute ischemic stroke.
Conclusions:
The FAST-ED smartphone application has great potential to improve the triage of patients with acute ischemic stroke, as it seems capable to optimize resources, reduce hospital arrivals times, and maximize the use of both intravenous tissue-type plasminogen activator and endovascular treatment ultimately leading to better clinical outcomes. Future field studies are needed to properly evaluate the impact of this tool in stroke outcomes and resource utilization.
Background and purpose:
This study evaluated the use of an artificial intelligence platform on mobile devices in measuring and increasing medication adherence in stroke patients on anticoagulation therapy. The introduction of direct oral anticoagulants, while reducing the need for monitoring, have also placed pressure on patients to self-manage. Suboptimal adherence goes undetected as routine laboratory tests are not reliable indicators of adherence, placing patients at increased risk of stroke and bleeding.
Methods:
A randomized, parallel-group, 12-week study was conducted in adults (n=28) with recently diagnosed ischemic stroke receiving any anticoagulation. Patients were randomized to daily monitoring by the artificial intelligence platform (intervention) or to no daily monitoring (control). The artificial intelligence application visually identified the patient, the medication, and the confirmed ingestion. Adherence was measured by pill counts and plasma sampling in both groups.
Results:
For all patients (n=28), mean (SD) age was 57 years (13.2 years) and 53.6% were women. Mean (SD) cumulative adherence based on the artificial intelligence platform was 90.5% (7.5%). Plasma drug concentration levels indicated that adherence was 100% (15 of 15) and 50% (6 of 12) in the intervention and control groups, respectively.
Conclusions:
Patients, some with little experience using a smartphone, successfully used the technology and demonstrated a 50% improvement in adherence based on plasma drug concentration levels. For patients receiving direct oral anticoagulants, absolute improvement increased to 67%. Real-time monitoring has the potential to increase adherence and change behavior, particularly in patients on direct oral anticoagulant therapy.
Clinical trial registration:
URL: http://www.clinicaltrials.gov. Unique identifier: NCT02599259.
Background:
Specialised CT-equipped mobile stroke treatment units shorten time to intravenous thrombolysis in acute ischaemic stroke by starting treatment before hospital admission; however, direct effects of pre-hospital thrombolysis on clinical outcomes have not been shown. We aimed to compare 3-month functional outcomes after intravenous thrombolysis in patients with acute ischaemic who had received emergency mobile care or and conventional care.
Methods:
In this observational registry study, patients with ischaemic stroke received intravenous thrombolysis (alteplase) either within a stroke emergency mobile (STEMO) vehicle (pre-hospital care covering 1·3 million inhabitants of Berlin) or within conventional care (normal ambulances and in-hospital care at the Charité Campus Benjamin Franklin in Berlin). Patient data on treatment, outcome, and demographics were documented in STEMO (pre-hospital) or conventional care (in-hospital) registries. The primary outcome was the proportion of patients who had lived at home without assistance before stroke and had a 3-month modified Rankin Scale (mRS) score of 1 or lower. Our multivariable logistic regression was adjusted for demographics, comorbidities, and stroke severity. This study is registered with ClinicalTrials.gov, number NCT02358772.
Findings:
Between Feb 5, 2011, and March 5, 2015, 427 patients were treated within the STEMO vehicle and their data were entered into a pre-hospital registry. 505 patients received conventional care and their data were entered into an in-hospital thrombolysis registry. Of these, 305 patients in the STEMO group and 353 in the conventional care group met inclusion criteria and were included in the analysis. 161 (53%) patients in the STEMO group versus 166 (47%) in the conventional care group had an mRS score of 1 or lower (p=0·14). Compared with conventional care, adjusted odds ratios (ORs) for STEMO care for the primary outcome (OR 1·40, 95% CI 1·00-1·97; p=0·052) were not significant. Intracranial haemorrhage (p=0·27) and 7-day mortality (p=0·23) did not differ significantly between treatment groups.
Interpretation:
We found no significant difference between the proportion of patients with a mRS score of 1 or lower receiving STEMO care compared with conventional care. However, our results suggest that pre-hospital start of intravenous thrombolysis might lead to improved functional outcome in patients. This evidence requires substantiation in future large-scale trials.
Funding:
Zukunftsfonds Berlin, the Technology Foundation Berlin with EU co-financing by the European Regional Development Fund via Investitionsbank Berlin, and the German Federal Ministry for Education and Research via the Center for Stroke Research Berlin.
Background:
The Apple (Cupertino, CA) HealthKit is a new telemonitoring platform that promises to make it easier for patients and healthcare institutions to collect, transmit, and store data from devices that monitor common conditions such as diabetes, hypertension, and asthma. To assess the potential use for this platform in primary care, we need to know how many Apple Healthkit users there are and if they have conditions that could benefit from telemonitoring.
Materials and methods:
We examined patients in the Mayo Clinic primary care practice in Rochester, MN, who registered to connect to their Mayo Clinic medical record with Apple HealthKit. We used the primary care registry to identify users with chronic conditions of diabetes, hypertension, asthma, and depression. We also examined users for recent measurements of blood pressure, glucose, hemoglobin A1C, and cholesterol.
Results:
Of 98,151 patients there were 503 registrants of HealthKit. There were 95 (19%) who had hypertension, 37 (7.4%) who had diabetes, 125 (25%) who had depression, and 56 (11%) who had asthma. Overall, there were 245 (49%) who had readily telemonitorable conditions.
Conclusions:
Almost half of primary care Apple HealthKit registrants have conditions that could benefit from telemonitoring. This pre-installed telemonitoring platform, available on every new iPhone(®) (Apple), can be used to monitor a significant number of primary care patients. However, it also has continued provider and informatics barriers that need to be addressed.
Any strategy to reduce stroke burden involves crucial inputs from individuals (risk reduction, rapid recognition and response to symptoms onset) which imply a certain level of stroke knowledge. Health-related applications (apps) have been identified as a novel platform for dissemination of health information to the public. Only few apps about stroke are currently available with scientifically valid information, none of them are available in Italian. We developed the first and only Italian stroke app, ICTUS3R. We also pilot tested ICTUS3R in terms of its usage during the first 12 months following release (October 30, 2014). ICTUS3R was developed in collaboration with communication experts, stroke leaders and web producers. ICTUS3R was pilot tested in terms of number and distribution of downloads. Data about 1 year usage were anonymously collected from ICTUS 3R release on October 30, 2014. ICTUS3R includes a stroke screening tool, information how to react in case of suspected stroke, and information about risk factors including personal stroke risk calculator. ICTUS 3R web site was visited 36,242 times. Mean session duration was over 2 min. The 48 % of downloads were by individuals aged 25–44 years, 12 % by individuals ≥55 years. ICTUS3R downloads were distributed across all the Italian provinces, in varying proportions. The 4.3 % of downloads were done outside Italy. ICTUS3R can be an important contribution to stroke management and prevention, it proved to be well received for dissemination of stroke information among Italians. Its use could contribute to reduce stroke burden in Italy.
Background:
Previous observational studies have shown that telemedicine is feasible and safe to deliver intravenous (IV) recombinant tissue plasminogen activator (rt-PA). However, implementation of telemedicine may be challenging. To illustrate this fact, we report a study showing that telemedicine failed to improve clinical outcome and analyze the reasons for this shortcoming.
Methods:
We established a tele-stroke network of 10 emergency rooms (ERs) of community hospitals connected to a stroke center to perform a randomized, open-label clinical trial with blinded outcome evaluation. Eligible patients were randomly assigned to either a usual care arm (i.e. immediate transfer to the stroke center and administration of IV rt-PA if indication was confirmed upon stroke arrival) or tele-thrombolysis arm (i.e. immediate administration of IV rt-PA in ER and transfer to the stroke center). The primary efficacy outcome was an excellent outcome (modified Rankin scale (mRS) 0-1 at 90 days). Secondary endpoints included favorable outcome (90-day mRS 0-2) and early neurological improvement (NIHSS score 0-1 at 24 hours or a decrease of ≥ 4 points within 24 hours). Safety outcomes included symptomatic intracerebral hemorrhage (ICH) per ECASS II definition, any ICH and all-cause mortality.
Results:
During an accrual time of 48 months, because of a slow enrollment rate, only 49 of 270 patients initially planned for inclusion were randomized into usual care (n = 23) and tele-thrombolysis (n = 26). Despite random assignment, patients allocated to tele-thrombolysis were older and had more severe stroke than patients allocated to usual care. The median duration of video-conference was 23 minutes in the usual care arm and 73 minutes in the tele-thrombolysis arm. Eighty-four percent of patients in the tele-thrombolysis arm were treated by IV rt-PA in comparison to 18% in the usual care arm. In univariate analysis but not after adjustment for age and baseline NIHSS, patients allocated in the usual care arm had a higher rate of excellent or favorable outcome. There were no differences in safety outcomes, with only one symptomatic ICH occurring in the tele-thrombolysis arm.
Conclusions:
Stroke patients included in the telemedicine arm of the TRUST-tPA trial increased their rt-PA eligibility five-fold. However, the efficacy and safety remains to be determined (ClinicalTrials.org, NCT00279149).
Time to thrombolysis is crucial for outcome in acute ischemic stroke.
To determine if starting thrombolysis in a specialized ambulance reduces delays.
In the Prehospital Acute Neurological Treatment and Optimization of Medical care in Stroke Study (PHANTOM-S), conducted in Berlin, Germany, we randomly assigned weeks with and without availability of the Stroke Emergency Mobile (STEMO) from May 1, 2011, to January 31, 2013. Berlin has an established stroke care infrastructure with 14 stroke units. We included 6182 adult patients (STEMO weeks: 44.3% male, mean [SD] age, 73.9 [15.0] y; control weeks: 45.2% male, mean [SD] age, 74.3 [14.9] y) for whom a stroke dispatch was activated.
The intervention comprised an ambulance (STEMO) equipped with a CT scanner, point-of-care laboratory, and telemedicine connection; a stroke identification algorithm at dispatcher level; and a prehospital stroke team. Thrombolysis was started before transport to hospital if ischemic stroke was confirmed and contraindications excluded.
Primary outcome was alarm-to-thrombolysis time. Secondary outcomes included thrombolysis rate, secondary intracerebral hemorrhage after thrombolysis, and 7-day mortality.
Time reduction was assessed in all patients with a stroke dispatch from the entire catchment area in STEMO weeks (3213 patients) vs control weeks (2969 patients) and in patients in whom STEMO was available and deployed (1804 patients) vs control weeks (2969 patients). Compared with thrombolysis during control weeks, there was a reduction of 15 minutes (95% CI, 11-19) in alarm-to-treatment times in the catchment area during STEMO weeks (76.3 min; 95% CI, 73.2-79.3 vs 61.4 min; 95% CI, 58.7-64.0; P < .001). Among patients for whom STEMO was deployed, mean alarm-to-treatment time (51.8 min; 95% CI, 49.0-54.6) was shorter by 25 minutes (95% CI, 20-29; P < .001) than during control weeks. Thrombolysis rates in ischemic stroke were 29% (310/1070) during STEMO weeks and 33% (200/614) after STEMO deployment vs 21% (220/1041) during control weeks (differences, 8%; 95% CI, 4%-12%; P < .001, and 12%, 95% CI, 7%-16%; P < .001, respectively). STEMO deployment incurred no increased risk for intracerebral hemorrhage (STEMO deployment: 7/200; conventional care: 22/323; adjusted odds ratio [OR], 0.42, 95% CI, 0.18-1.03; P = .06) or 7-day mortality (9/199 vs 15/323; adjusted OR, 0.76; 95% CI, 0.31-1.82; P = .53).
Compared with usual care, the use of ambulance-based thrombolysis resulted in decreased time to treatment without an increase in adverse events. Further studies are needed to assess the effects on clinical outcomes.
clinicaltrials.gov Identifier: NCT01382862.
This Review focuses on the application of telemedicine to the care of patients with acute stroke (telestroke), from the prehospital setting through hospitalization. Telestroke has grown remarkably in the past decade and has entered mainstream care for patients with acute stroke. Telestroke enables such patients to be remotely evaluated, thereby allowing optimal treatment and management even in clinically underserved areas and removing geographical disparities in access to expert care. Telestroke systems enable thrombolytic treatment to be administered in community and rural hospitals, and facilitate the appropriate transfer of patients with complex conditions (who require critical care services and neurosurgical or intra-arterial interventions) to a comprehensive stroke centre. Decision-analytic models show that telestroke is cost-effective from both a societal and a hospital perspective. Limitations to the use of telestroke in the USA include the need for state licensing and credentialling of physicians, and the technical requirements of a minimum network bandwidth (which is still lacking in some regions). However, the opportunity exists for telestroke to become the backbone of an electronic stroke unit and to be used to identify and enrol patients in clinical trials of acute stroke treatment. The use of telestroke in the prehospital setting has been hampered by limited telecommunication availability, but these problems might be mitigated by fourth-generation cellular data networks.
Objective:
Beneficial effects of IV tissue plasminogen activator (tPA) in acute ischemic stroke are strongly time-dependent. In the Pre-Hospital Acute Neurological Treatment and Optimization of Medical care in Stroke (PHANTOM-S) study, we undertook stroke treatment using a specialized ambulance, the stroke emergency mobile unit (STEMO), to shorten call-to-treatment time.
Methods:
The ambulance was staffed with a neurologist, paramedic, and radiographer and equipped with a CT scanner, point-of-care laboratory, and a teleradiology system. It was deployed by the dispatch center whenever a specific emergency call algorithm indicated an acute stroke situation. Study-specific procedures were restricted to patients able to give informed consent. We report feasibility, safety, and duration of procedures regarding prehospital tPA administration.
Results:
From February 8 to April 30, 2011, 152 subjects were treated in STEMO. Informed consent was given by 77 patients. Forty-five (58%) had an acute ischemic stroke and 23 (51%) of these patients received tPA. The mean call-to-needle time was 62 minutes compared with 98 minutes in 50 consecutive patients treated in 2010. Two (9%) of the tPA-treated patients had a symptomatic intracranial hemorrhage and 1 of these patients (4%) died in hospital. Technical failures encountered were 1 CT dysfunction and 2 delayed CT image transmissions.
Conclusions:
The data suggest that prehospital stroke care in STEMO is feasible. No safety concerns have been raised so far. This new approach using prehospital tPA may be effective in reducing call-to-needle times, but this is currently being scrutinized in a prospective controlled study.
We reviewed the literature on the use of text messaging for clinical and healthy behaviour interventions. Electronic databases were searched in December 2009 using keywords related to text messaging and health interventions. The final review included 24 articles. Of those, seven covered medication adherence, eight discussed clinical management and nine reported on health-related behaviour modification. Sixteen were randomized controlled trials (RCT), five were non-controlled pre-post comparison studies and three were feasibility pilots not reporting a behavioural outcome. The frequency of messaging ranged from multiple messages daily to one message per month. Among the 16 RCTs, 10 reported significant improvement with interventions and six reported differences suggesting positive trends. Text messaging received good acceptance and showed early efficacy in most studies. However, the evidence base is compromised by methodological limitations and is not yet conclusive.
Despite Food and Drug Administration approval of tissue-type plasminogen activator (tPA) for stroke, obstacles in the US health care system prevent widespread use. The Remote Evaluation for Acute Ischemic Stroke (REACH) program was developed to address these obstacles in rural settings. We have previously shown the reliability of the REACH system in performing a valid National Institutes of Health Stroke Scale (NIHSS) evaluation at the Medical College of Georgia (MCG). We now report on the performance of the system since its deployment in 5 rural hospitals in east Georgia.
The rural emergency department (ED) staff can activate a Code REACH protocol 24 hours per day, 7 days per week by calling the Emergency Communications Center (ECC, an in-house dispatch center) at MCG, who pages the on-call consultant. The consultant calls back the ECC and is connected to the waiting ED. Simultaneously, using any broadband-connected workstation, the consultant logs in to the REACH system, allowing performance of an NIHSS evaluation, review of the computerized tomography (CT) images transmitted by the local radiology staff, and then the consultant can speak to the patient and family to verify time of onset.
The REACH system has evaluated 75 patients from March 2003 to April 2004, and 12 have received tPA, all without intracranial hemorrhage complications. NIHSS scores ranged from 0 to 30, with a mean of 14.3 (SD=8.7, median 11.5). The mean onset to door time was 70.9 minutes (SD=70.8, median 50), the mean door to consult time was 45.1 minutes (SD=39.8, median 34), and the mean door to NIHSS completion was 62.9 minutes (SD=50.8, median 51). The mean onset to needle time was 135.33 minutes (SD=51.45, median 134.5).
The REACH system enables remote stroke physicians to direct the local ED staff to administer tPA in rural settings where thrombolytics were not previously used. REACH may be used as a rapid consult tool to provide the same quality of stroke care to patients in rural hospitals as is given in tertiary stroke centers. This supports our endeavor to bring stroke expertise to rural community hospitals.
Telemedical networks are a new approach to improve stroke care in community settings. We aimed to assess the effects of a stroke network with telemedical support in Germany on quality of care, according to acute processes and long-term outcome.
Five community hospitals without pre-existing specialised stroke care were included in a network with telemedical support by two academic hospitals. In a non-randomised, open intervention study, five community hospitals without specialised stroke care served as the control group, matched individually to the network hospitals by predefined characteristics. Stroke patients admitted consecutively to one of the participating hospitals between July 7, 2003, and March 31, 2005, were included in the study. Patients in network and control hospitals were assessed in the same manner and were followed up for vital status, living situation, and disability at 3 months. Poor outcome was defined by death, institutional care, or disability (Barthel index <60 or modified Rankin scale >3). Predefined indicators for quality of acute stroke care were achieved.
A total of 5696 patients with a sudden, non-convulsive loss of neurological function who were diagnosed with having suspected stroke were admitted to the ten hospitals participating in the study. After exclusion, 3122 were included in the final analysis, of whom 1971 (63%) were treated in the network hospitals. All indicators related to quality of acute stroke care were more commonly met in the network than in the control hospitals. After 3 months, 44% of patients treated in network hospitals versus 54% treated in control hospitals had a poor outcome (p<0.0001). In multivariate regression analysis, treatment in network hospitals independently reduced the probability of a poor outcome (odds ratio 0.62, 95% CI 0.52-0.74; p<0.0001).
Telemedical networks with academic stroke centres offer new and innovative approaches to improve acute stroke care at community level for stroke patients living in non-urban areas.