Mobile health for stroke: a promising concept for research and practice

Experiences With Mobile Health-Enabled Ambulatory Monitoring Among Stroke Survivors: A Qualitative Study

Inquiring into the experiences of stroke survivors toward ambulatory monitoring is crucial for optimizing user adoption, design, implementation, and sustainability of ambulatory monitoring in the stroke population. This study was aimed to identify facilitators and barriers for ambulatory monitoring among stroke survivors, as well as their suggestions for development and implementation of ambulatory monitoring. We conducted individual semi-structured interviews with 40 stroke survivors who received ambulatory monitoring. The interviews were analyzed using thematic content analysis. Six themes about facilitators associated with ambulatory monitoring emerged: (1) user support, (2) technological features, (3) convenience, (4) personal strategies, (5)social influence, and (6)time commitment. Three themes about barriers to using ambulatory monitoring emerged: (1) personal factors, (2) functionality, (3) study design. Three themes about suggestions emerged: (1) personalization, (2) functionality, and (3) interactive feedback. As mobile health technology is becoming more popular, the findings of this study provide timely implications and practical considerations for ambulatory monitoring in the stroke population.

Do digital health interventions hold promise for stroke prevention and care in Black and Latinx populations in the United States? A scoping review

BACKGROUND

Black and Latinx populations are disproportionately affected by stroke and are likely to experience gaps in health care. Within fragmented care systems, remote digital solutions hold promise in reversing this pattern. However, there is a digital divide that follows historical disparities in health. Without deliberate attempts to address this digital divide, rapid advances in digital health will only perpetuate systemic biases. This study aimed to characterize the range of digital health interventions for stroke care, summarize their efficacy, and examine the inclusion of Black and Latinx populations in the evidence base.

METHODS

We searched PubMed, the Web of Science, and EMBASE for publications between 2015 and 2021. Inclusion criteria include peer-reviewed systematic reviews or meta-analyses of experimental studies focusing on the impact of digital health interventions on stroke risk factors and outcomes in adults. Detailed information was extracted on intervention modality and functionality, clinical/behavioral outcome, study location, sample demographics, and intervention results.

RESULTS

Thirty-eight systematic reviews met inclusion criteria and yielded 519 individual studies. We identified six functional categories and eight digital health modalities. Case management (63%) and health monitoring (50%) were the most common intervention functionalities. Mobile apps and web-based interventions were the two most commonly studied modalities. Evidence of efficacy was strongest for web-based, text-messaging, and phone-based approaches. Although mobile applications have been widely studied, the evidence on efficacy is mixed. Blood pressure and medication adherence were the most commonly studied outcomes. However, evidence on the efficacy of the various intervention modalities on these outcomes was variable. Among all individual studies, only 38.0% were conducted in the United States (n = 197). Of these U.S. studies, 54.8% adequately reported racial or ethnic group distribution. On average, samples were 27.0% Black, 17.1% Latinx, and 63.4% White.

CONCLUSION

While evidence of the efficacy of selected digital health interventions, particularly those designed to improve blood pressure management and medication adherence, show promise, evidence of how these interventions can be generalized to historically underrepresented groups is insufficient. Including these underrepresented populations in both digital health experimental and feasibility studies is critical to advancing digital health science and achieving health equity.

Detecting user experience issues from mHealth apps that support stroke caregiver needs: an analysis of user reviews

Background

Existing research has demonstrated the potential of mHealth apps in improving the caregiving outcomes of stroke. Since most of the apps were published in commercially available app stores without explaining their design and evaluation processes, it is necessary to identify the user experience issues to promote long-term adherence and usage.

Objective

The purpose of this study was to utilize published user reviews of commercially available apps to determine the user experience issues to guide future app development in stroke caregiving.

Methods

User reviews were extracted from the previously identified 46 apps that support stroke caregiving needs using a python-scraper. The reviews were pre-processed and filtered using python scripts to consider English reviews that described issues faced by the user. The final corpus was categorized based on TF-IDF vectorization and k-means clustering technique, and the issues extracted from the various topics were classified based on the seven dimensions of user experience to highlight factors that may affect the usage of the app.

Results

A total of 117,364 were extracted from the two app stores. After filtration, 13,368 reviews were included and classified based on the user experience dimensions. Findings highlight critical issues that affect the usability, usefulness, desirability, findability, accessibility, credibility, and value of the app that contribute to decreased satisfaction and increased frustration.

Conclusion

The study identified several user experience issues due to the inability of the app developers to understand the needs of the user. Further, the study describes the inclusion of a participatory design approach to promote an improved understanding of user needs; therefore, limiting any issues and ensuring continued use.

Measurement, determinants, barriers, and interventions for exercise adherence: A scoping review

BACKGROUND

Adherence to exercise interventions is the cornerstone of a successful rehabilitation program. However, there is limited evidence on multifaceted components of exercise adherence. Therefore, we aimed to summarize the existing literature on measurement, determinants, barriers, theoretical frameworks, and evidence-based interventions that support exercise adherence.

METHODS

We conducted a scoping review based on the PRISMA extension for scoping reviews guidelines and searched the literature in PubMed, Cochrane Databases of Systematic Reviews, ScienceDirect, and Web of Science. Two reviewers independently screened articles. The included articles were subjected to data extraction and qualitative synthesis.

RESULTS

A total of 72 articles were included for this review. Data synthesis showed that there are no gold standard methods of measuring exercise adherence; however, questionnaires and daily logs are commonly used tools. The determinants of adherence are personal, disease-related, therapy-related, provider-related, and health system-related. The common barriers to adherence are the absence of a caregiver, low health literacy, poor communication by healthcare providers, cost, and lack of access to health facilities. Few evidence-based interventions used for supporting adherence are behavioral strategies, improving self-efficacy, motivational therapy, and mHealth or multimedia.

CONCLUSION

Non-adherence to exercises is a challenge for healthcare providers. There are no standard guidelines for the evaluation and management of non-adherence to exercises. Future studies should aim at developing objective measures of exercise adherence and investigate the long-term effects of adherence strategies in different disease populations. It is an under-researched area and requires multipronged strategies to improve adherence levels among patients.

Moving Towards Equity With Digital Health Innovations for Stroke Care

Digital health has long been championed as a means to expanding access to health care. Now that the COVID-19 pandemic accelerated many health systems' integration of digital tools for care, digital health may provide a path towards more accessible stroke prevention and treatment, particularly for historically disadvantaged patient populations. Stroke management is composed of multiple time points where digital health innovations have the potential to augment health access and treatment: from primary prevention, to the time-sensitive detection of ischemic stroke, administration of thrombolytic agents and consideration for endovascular interventions, to appropriate post-acute care, rehabilitation, and lifelong secondary stroke prevention-stroke care relies on a multidisciplinary and standardized approach. However, as we discuss pointedly in this Focused Update, underrepresented individuals face multilevel digital health disparities that potentially diminish the benefits of these digital advances. As such, these multilevel needs must be discussed and accounted for as health systems seek to integrate innovative and equitable digital health solutions towards stroke care.

Smartphone and mHealth Use After Stroke: Results From a Pilot Survey

Advances in smartphone technology have revolutionized health care providing innovative approaches to improve health and well-being. Emerging mobile health (mHealth) apps are becoming increasingly available and offer opportunities to support self-management needs in people with stroke; however, experiences with mHealth among this population are not well understood. The objective of this study is to conduct a cross-sectional survey on smartphone and mHealth app use for adults with stroke. A pilot survey of 50 adults with stroke was conducted. In all, 51% of respondents reported using their smartphone more frequently than before their stroke, and 91% reported having some degree of difficulty with its use. Respondents reported on specific challenges with app use and discussed desired content and features. Occupational therapists should familiarize themselves with valid, accessible, usable, and acceptable apps for people with stroke and consider implementing mHealth apps in self-management intervention plans to improve health, rehabilitation, and community integration outcomes in this population.

Use of artificial intelligence as an instrument of evaluation after stroke: a scoping review based on international classification of functioning, disability and health concept

Introduction: To understand the current practices in stroke evaluation, the main clinical decision support system and artificial intelligence (AI) technologies need to be understood to assist the therapist in obtaining better insights about impairments and level of activity and participation in persons with stroke during rehabilitation. Methods: This scoping review maps the use of AI for the functional evaluation of persons with stroke; the context involves any setting of rehabilitation. Data were extracted from CENTRAL, MEDLINE, EMBASE, LILACS, CINAHL, PEDRO Web of Science, IEEE Xplore, AAAI Publications, ACM Digital Library, MathSciNet, and arXiv up to January 2021. The data obtained from the literature review were summarized in a single dataset in which each reference paper was considered as an instance, and the study characteristics were considered as attributes. The attributes used for the multiple correspondence analysis were publication year, study type, sample size, age, stroke phase, stroke type, functional status, AI type, and AI function. Results: Forty-four studies were included. The analysis showed that spasticity analysis based on ML techniques was used for the cases of stroke with moderate functional status. The techniques of deep learning and pressure sensors were used for gait analysis. Machine learning techniques and algorithms were used for upper limb and reaching analyses. The inertial measurement unit technique was applied in studies where the functional status was between mild and severe. The fuzzy logic technique was used for activity classifiers. Conclusion: The prevailing research themes demonstrated the growing utility of AI algorithms for stroke evaluation.

Future Mobile Device Usage, Requirements, and Expectations of Physicians in German University Hospitals: Web-Based Survey

Background

The use of mobile devices in hospital care constantly increases. However, smartphones and tablets have not yet widely become official working equipment in medical care. Meanwhile, the parallel use of private and official devices in hospitals is common. Medical staff use smartphones and tablets in a growing number of ways. This mixture of devices and how they can be used is a challenge to persons in charge of defining strategies and rules for the usage of mobile devices in hospital care.

Objective

Therefore, we aimed to examine the status quo of physicians’ mobile device usage and concrete requirements and their future expectations of how mobile devices can be used.

Methods

We performed a web-based survey among physicians in 8 German university hospitals from June to October 2019. The online survey was forwarded by hospital management personnel to physicians from all departments involved in patient care at the local sites.

Results

A total of 303 physicians from almost all medical fields and work experience levels completed the web-based survey. The majority regarded a tablet (211/303, 69.6%) and a smartphone (177/303, 58.4%) as the ideal devices for their operational area. In practice, physicians are still predominantly using desktop computers during their worktime (mean percentage of worktime spent on a desktop computer: 56.8%; smartphone: 12.8%; tablet: 3.6%). Today, physicians use mobile devices for basic tasks such as oral (171/303, 56.4%) and written (118/303, 38.9%) communication and to look up dosages, diagnoses, and guidelines (194/303, 64.0%). Respondents are also willing to use mobile devices for more advanced applications such as an early warning system (224/303, 73.9%) and mobile electronic health records (211/303, 69.6%). We found a significant association between the technical affinity and the preference of device in medical care (χs2=53.84, P<.001) showing that with increasing self-reported technical affinity, the preference for smartphones and tablets increases compared to desktop computers.

Conclusions

Physicians in German university hospitals have a high technical affinity and positive attitude toward the widespread implementation of mobile devices in clinical care. They are willing to use official mobile devices in clinical practice for basic and advanced mobile health uses. Thus, the reason for the low usage is not a lack of willingness of the potential users. Challenges that hinder the wider adoption of mobile devices might be regulatory, financial and organizational issues, and missing interoperability standards of clinical information systems, but also a shortage of areas of application in which workflows are adapted for (small) mobile devices.

Exploring the perspectives of stroke survivors and healthcare professionals on the use of mobile health to promote physical activity: A qualitative study protocol

Background: Physical inactivity is both the second-highest population attributable risk factor for and a common consequence of stroke. Despite well-documented health benefits associated with physical activity, its levels typically remain below recommended guidelines in stroke survivors. Consequently, calls have been made for novel interventions targeting the promotion of physical activity in stroke survivors. Mobile health is an emerging field which can offer personalised health interventions through mobile and wireless technology. However, a paucity of research has focused on mobile health to promote physical activity in stroke survivors and, more broadly, this field has been criticised for not incorporating the views of stakeholders. This study aims to explore the perspectives of stroke survivors and healthcare professionals on the development of a mobile health intervention for the promotion of physical activity. Methods: The current study will employ a qualitative descriptive approach using separate, semi-structured focus groups for two key stakeholder groups. Community-dwelling stroke survivors will be recruited through an early supported discharge service for acute stroke and stroke support groups. Healthcare professionals will be recruited through the same early supported discharge service, relevant professional bodies and Twitter. The final number of focus groups will depend on data saturation. Thematic analysis will be conducted using NVivo 12 and findings will be reported in accordance with the Consolidated Criteria for Reporting Qualitative Studies. Conclusion: This study was granted ethical approval from the HSE Mid-Western Regional Hospital Research Ethics Committee and the Faculty of Education and Health Sciences Research Ethics Committee at the University of Limerick. Output will consist of recommendations for the development of a mobile health intervention aimed at the promotion of physical activity in stroke survivors. Findings will be disseminated locally through presentations at stroke support groups, as well as internationally through academic conferences and peer-reviewed journals.

Acceptability and Attitude towards a Mobile-Based Home Exercise Program among Stroke Survivors and Caregivers: A Cross-Sectional Study

Background

Stroke is a leading cause of disability and requires continued care after hospital discharge. Mobile-based interventions are suitable to reduce the cost of stroke rehabilitation and facilitate self-management among stroke survivors. However, before attempting to use mobile-based home exercise program, it is crucial to recognize the readiness of stroke survivors and their caregivers to opt for such interventions.

Objective

To assess the acceptability and attitude towards a mobile-based home exercise program among stroke survivors and their primary caregivers.

Methods

A cross-sectional study was conducted among 102 participants to understand their attitude and acceptability towards mobile-based home exercise program. A validated 10-item questionnaire was adapted for the study. The questions which assessed the attitude were rated on a three-point Likert scale, with three denoting agree and one denoting disagree. The acceptability was assessed by their willingness to opt for a mobile-based home program services. A Chi-square analysis and cross-tabulation were performed to test differences between caregivers and patients. A logistic regression was performed to determine the effects of age, gender, and mobile phone on acceptability.

Results

Ninety-two percent of caregivers and 90% of patients showed willingness to opt for mobile-based intervention. Majority of the participants showed a positive attitude towards this mode of treatment. There was no difference in the attitude noted among caregivers and patients (p>0.05) towards mobile-based intervention.

Conclusion

The stroke survivors and caregivers welcomed the concept of mobile-based home exercise program even in a low-resource settings, but further studies to understand treatment and cost-effectiveness of this technology among the stroke survivors would lead to better implementation.

Mandatory Neuroendovascular Evolution: Meeting the New Demands

Background

Traditionally, patients undergoing acute ischemic strokes were candidates for mechanical thrombectomy if they were within the 6-h window from onset of symptoms. This timeframe would exclude many patient populations, such as wake-up strokes. However, the most recent clinical trials, DAWN and DEFUSE3, have expanded the window of endovascular treatment for acute ischemic stroke patients to within 24 h from symptom onset. This expanded window increases the number of potential candidates for endovascular intervention for emergent large vessel occlusions and raises the question of how to efficiently screen and triage this increase of patients.

Summary

Abbreviated pre-hospital stroke scales can be used to guide EMS personnel in quickly deciding if a patient is undergoing a stroke. Telestroke networks connect remote hospitals to stroke specialists to improve the transportation time of the patient to a comprehensive stroke center for the appropriate level of care. Mobile stroke units, mobile interventional units, and helistroke reverse the traditional hub-and-spoke model by bringing imaging, tPA, and expertise to the patient. Smartphone applications and social media aid in educating patients and the public regarding acute and long-term stroke care.

Key Messages

The DAWN and DEFUSE3 trials have expanded the treatment window for certain acute ischemic stroke patients with mechanical thrombectomy and subsequently have increased the number of potential candidates for endovascular intervention. This expansion brings patient screening and triaging to greater importance, as reducing the time from symptom onset to decision-to-treat and groin puncture can better stroke patient outcomes. Several strategies have been employed to address this issue by reducing the time of symptom onset to decision-to-treat time.

Tele-Rehabilitation after Stroke: An Updated Systematic Review of the Literature

BACKGROUND

Tele-rehabilitation for stroke survivors has emerged as a promising intervention for remotely supervised administration of physical, occupational, speech, and other forms of therapies aimed at improving motor, cognitive, and neuropsychiatric deficits from stroke.

OBJECTIVE

We aimed to provide an updated systematic review on the efficacy of tele-rehabilitation interventions for recovery from motor, higher cortical dysfunction, and poststroke depression among stroke survivors.

METHODS

We searched PubMed and Cochrane library from January 1, 1980 to July 15, 2017 using the following keywords: "Telerehabilitation stroke," "Mobile health rehabilitation," "Telemedicine stroke rehabilitation," and "Telerehabilitation." Our inclusion criteria were randomized controlled trials, pilot trials, or feasibility trials that included an intervention group that received any tele-rehabilitation therapy for stroke survivors compared with a control group on usual or standard of care.

RESULTS

This search yielded 49 abstracts. By consensus between 2 investigators, 22 publications met the criteria for inclusion and further review. Tele-rehabilitation interventions focused on motor recovery (n = 18), depression, or caregiver strain (n = 2) and higher cortical dysfunction (n = 2). Overall, tele-rehabilitation interventions were associated with significant improvements in recovery from motor deficits, higher cortical dysfunction, and depression in the intervention groups in all studies assessed, but significant differences between intervention versus control groups were reported in 8 of 22 studies in favor of tele-rehabilitation group while the remaining studies reported nonsignificant differences.

CONCLUSION

This updated systematic review provides evidence to suggest that tele-rehabilitation interventions have either better or equal salutary effects on motor, higher cortical, and mood disorders compared with conventional face-to-face therapy.

Protocol for a randomised controlled trial to evaluate the effectiveness of the 'Care for Stroke' intervention in India: a smartphone-enabled, carer-supported, educational intervention for management of disabilities following stroke

INTRODUCTION

The rising prevalence of stroke and stroke-related disability witnessed globally over the past decades may cause an overwhelming demand for rehabilitation services. This situation is of concern for low-income and middle-income countries like India where the resources for rehabilitation are often limited. Recently, a smartphone-enabled carer-supported educational intervention for management of physical disabilities following stroke was developed in India. It was found to be feasible and acceptable, but evidence of effectiveness is lacking. Hence, as a step forward, this study intends to evaluate clinical effectiveness of the intervention through a randomised controlled trial.

METHODS

The objective of the study is to evaluate whether the 'Care for Stroke' intervention is clinically and cost-effective for the reduction of dependency in activities of daily living among stroke survivors in an Indian setting. This study is designed as a randomised controlled trial comparing people who received the intervention to those receiving standard care. The trial will be pragmatic and outcome assessor-blinded. The primary outcome for the study is dependency in daily living measured by the Modified Rankin Scale (MRS). A total of 266 adult stroke survivors who fulfil the eligibility criteria will be randomised to receive either 'Care for Stroke' intervention or standard treatment and will be followed up for 6 weeks. The main analyses will compare participants allocated to the 'Care for Stroke' intervention versus those allocated to the standard treatment group on an 'intention-to-treat' basis, irrespective of whether the participants received the treatment allocated or not. The dichotomised MRS scores (0-3 and 4-6) in both the groups will be used to calculate the effect estimates with a measure of precision (95% CI) and presented in the results of the trial.

ETHICS AND DISSEMINATION

The Indian Institute of Public Health-Hyderabad/Public Health Foundation of India - Independent Institutional Ethics Committee and the Ethics Committee of the London School of HygieneandTropical Medicine. Dissemination will be through peer-reviewed publications.

TRIAL REGISTRATION NUMBER

Clinical Trial Registry of India CTRI/2017/07/009014.

Potential role of tele-rehabilitation to address barriers to implementation of physical therapy among West African stroke survivors: A cross-sectional survey

BACKGROUND

The greatest burden from stroke-related disability is borne by Low-and-Middle Income countries (LMICs) where access to rehabilitation after stroke is severely challenged. Tele-rehabilitation could be a viable avenue to address unmet rehabilitation needs in LMICs.

OBJECTIVES

To assess the burden of post-stroke physical deficits, rates of utilization of physiotherapy services, and perceptions of tele-rehabilitation among recent Ghanaian stroke survivors.

METHODS

Using a consecutive sampling strategy, 100 stroke survivors attending an outpatient Neurology clinic in a Ghanaian tertiary medical center were enrolled into this cross-sectional study. After collecting basic demographic data, clinical history on stroke type, severity and level of disability, we administered the validated 20-item Functional Independence Measure questionnaire to evaluate functional status of study participants and an 8-item questionnaire to assess participants' attitudes towards telemedicine administered rehabilitation intervention.

RESULTS

Mean±SD age of study participants was 57.2±13.3years of which 51.0% were males with a mean duration of stroke of 1.3±2.2years. 53% had Modified Rankin scores of ≥3, 57% were fully independent and only 27% reported utilizing any physiotherapy services. Barriers to access to physiotherapy included financial constraints due to cost of physiotherapy services and transportation as well as premature discharge from physiotherapy to avoid overburdening of available physiotherapy services. These factors led to the limited provision of rehabilitative therapy. Participants held positive views of the potential for tele-rehabilitation interventions (80-93%). However, while 85% owned mobile phones, only 35% had smart phones.

CONCLUSION

Despite, a high burden of residual disability, only about 1 out of 4 stroke patients in this Ghanaian cohort was exposed to post-stroke physiotherapy services, largely due to relatively high costs and limited health system resources. These Ghanaian stroke patients viewed the potential role of Tele-rehabilitation as positive, but this promising intervention needs to be formally tested for feasibility, efficacy and cost-effectiveness.