Moving Towards Equity With Digital Health Innovations for Stroke Care

Clinical applications of artificial intelligence and machine learning in neurocardiology: a comprehensive review

Neurocardiology is an evolving field focusing on the interplay between the nervous system and cardiovascular system that can be used to describe and understand many pathologies. Acute ischemic stroke can be understood through this framework of an interconnected, reciprocal relationship such that ischemic stroke occurs secondary to cardiac pathology (the Heart-Brain axis), and cardiac injury secondary to various neurological disease processes (the Brain-Heart axis). The timely assessment, diagnosis, and subsequent management of cerebrovascular and cardiac diseases is an essential part of bettering patient outcomes and the progression of medicine. Artificial intelligence (AI) and machine learning (ML) are robust areas of research that can aid diagnostic accuracy and clinical decision making to better understand and manage the disease of neurocardiology. In this review, we identify some of the widely utilized and upcoming AI/ML algorithms for some of the most common cardiac sources of stroke, strokes of undetermined etiology, and cardiac disease secondary to stroke. We found numerous highly accurate and efficient AI/ML products that, when integrated, provided improved efficacy for disease prediction, identification, prognosis, and management within the sphere of stroke and neurocardiology. In the focus of cryptogenic strokes, there is promising research elucidating likely underlying cardiac causes and thus, improved treatment options and secondary stroke prevention. While many algorithms still require a larger knowledge base or manual algorithmic training, AI/ML in neurocardiology has the potential to provide more comprehensive healthcare treatment, increase access to equitable healthcare, and improve patient outcomes. Our review shows an evident interest and exciting new frontier for neurocardiology with artificial intelligence and machine learning.

Knowledge About Medical Management and Therapies for Stroke Among Caregivers of Stroke Survivors-A Comparative Study

This study compared knowledge of stroke medications and therapies between informal caregivers of stroke survivors and controls, highlighting important implications for post-stroke care. Although awareness of stroke deterioration and recurrence was similar between groups, caregivers demonstrated greater recognition of residual effects, such as one-sided weakness and speech difficulties. Higher education, particularly holding a graduation degree, was strongly associated with better awareness among caregivers, including an improved understanding of the role of medications and therapies in stroke management. These findings underscore the need for structured training programs to equip caregivers with essential knowledge for supporting stroke survivors after hospital discharge. Enhancing caregiver education can improve understanding of recovery trajectories, promote effective management of residual symptoms, and help families set realistic goals for community reintegration. Addressing these gaps in caregiver training could lead to better outcomes for both stroke survivors and their families.

Feasibility of Smartphone-Based Exercise Training Integrated with Functional Electrical Stimulation After Stroke (SETS): A Preliminary Study

One emerging method in home stroke rehabilitation is digital technology. However, existing approaches typically target one domain (e.g., upper limb). Moreover, existing interventions do not cater to older adults with stroke (OAwS), especially those with high motor impairment, who require adjunct therapeutic agents to independently perform challenging exercises. We examined the feasibility of Smartphone-based Exercise Training after Stroke (SETS) with Functional Electrical Stimulation (FES). A total of 12 participants (67 ± 5 years) with stroke (onset > 6 months) exhibiting moderate-to-high motor impairment (Chedoke McMaster Leg ≤ 4/7) underwent 6 weeks of multicomponent (gait, functional strength, dynamic balance) training integrated with FES to paretic lower limb muscles. Primary measures included safety and adherence. Secondary measures included motivation, acceptability and attitude, usability, and clinical measures of gait and balance function like the 10-Meter Walk Test and Mini-BESTest. Participants reported no adverse events and moderate-to-high adherence (84.17 ± 11.24%) and improvement (up to 40%) in motivation, acceptability, and attitude and system usability. Participants also showed pre-post improvements in all measures of gait and balance function (p < 0.05). Integrating SETS and FES is feasible and yields short-term gains in gait and balance function among OAwS. Future studies could validate our findings by examining its efficacy with control groups to identify the differential effects of SETS and FES.

Mapping and analyzing the application of digital health for stroke rehabilitation: scientometric analysis

INTRODUCTION

A modern and accessible healthcare system requires digital innovation and connectivity. The term "Digital health" covers vide range technologies, such as mobile health and applications, electronic records, telehealth and telemedicine, wearable devices, robotics, virtual reality and artificial intelligence.

METHODS

Scientometrics is the method that we have done in this study by Cite Space and VOSviewer software, and the result of searching the Web of Science database in plain text format to perform analysis and scientometrics and create outputs in the form of graphs and tables in the field of digital health has been used in stroke rehabilitation.

RESULT

A total of 2933 documents related to digital health technologies in stroke rehabilitation were identified by searching for the terms "stroke rehabilitation" or "stroke recovery" in the title and "digital health" across all fields. The strongest citations related to cerebrovascular disease spanned from 1994 to 2007, with randomised clinical trials occurring almost simultaneously and ended by 2012. Consequently, stroke rehabilitation by virtual reality technology has obtained the most citations and clinical trials and as an important part of digital health in the future research process.

CONCLUSION

This scientometric study offers insights into how digital health technology can assist stroke patients in self-managing their health and well-being, in addition to supporting integrated stroke rehabilitation. The analysis revealed that three themes were present: author contributors and collaboration networks, temporal evolution, the strongest citation explosions for digital health technologies in stroke rehabilitation research, and semantic analysis.

The Significance of a Cerebrovascular Accident Outcome Prediction Model for Patients, Family Members, and Health Care Professionals: Qualitative Evaluation Study

BACKGROUND

Patients with cerebrovascular accident (CVA) should be involved in setting their rehabilitation goals. A personalized prediction of CVA outcomes would allow care professionals to better inform patients and informal caregivers. Several accurate prediction models have been created, but acceptance and proper implementation of the models are prerequisites for model adoption.

OBJECTIVE

This study aimed to assess the added value of a prediction model for long-term outcomes of rehabilitation after CVA and evaluate how it can best be displayed, implemented, and integrated into the care process.

METHODS

We designed a mock-up version, including visualizations, based on our recently developed prediction model. We conducted focus groups with CVA patients and informal caregivers, and separate focus groups with health care professionals (HCPs). Their opinions on the current information management and the model were analyzed using a thematic analysis approach. Lastly, a Measurement Instrument for Determinants of Innovations (MIDI) questionnaire was used to collect insights into the prediction model and visualizations with HCPs.

RESULTS

The analysis of 6 focus groups, with 9 patients, 4 informal caregivers, and 8 HCPs, resulted in 10 themes in 3 categories: evaluation of the current care process (information absorption, expectations of rehabilitation, prediction of outcomes, and decision aid), content of the prediction model (reliability, relevance, and influence on the care process), and accessibility of the model (ease of understanding, model type preference, and moment of use). We extracted recommendations for the prediction model and visualizations. The results of the questionnaire survey (9 responses, 56% response rate) underscored the themes of the focus groups.

CONCLUSIONS

There is a need for the use of a prediction model to assess CVA outcomes, as indicated by the general approval of participants in both the focus groups and the questionnaire survey. We recommend that the prediction model be geared toward HCPs, as they can provide the context necessary for patients and informal caregivers. Good reliability and relevance of the prediction model will be essential for its wide adoption.

Can the digital economy foster advancements in the healthcare sector? - a case study using interprovincial data from China

BACKGROUND

As China's "Internet + Health" initiative advances, the digital economy significantly influences the quality of medical and health services. However, there is a research gap concerning the digital economy's specific impacts, mechanisms, and marginal effects on these services. This gap impedes a comprehensive understanding of the digital economy's potential in healthcare.

AIMS

This study aims to clarify the digital economy's impact mechanisms on medical and health services levels, offering a scientific foundation for more targeted and effective policy formulation, thereby fostering sustainable digital development in healthcare.

METHODS

Utilizing panel data from China's 31 provinces (2011-2020), this paper employs the Spatial Durbin Model to analyze the spatial and marginal effects of the digital economy on healthcare service levels. To ensure analysis accuracy and robustness, the study refines the spatial weight matrix and addresses model endogeneity using the Generalized Spatial Two-Stage Least Squares method. Additionally, it examines regional disparities in the digital economy's impact through SDM and explores intermediary mechanisms and threshold effects using a mediation effect model and a panel threshold model.

RESULTS

Findings indicate that the digital economy positively affects medical and health services in both local and neighboring regions, with variations across areas. The eastern region particularly benefits from the digital economy's enhancement of service levels, while the central and western regions see less impact. The digital economy enhances services by improving medical resource levels and promoting their coordinated development. However, this positive effect is moderated by the digital economy's and the region's economic development levels, with more pronounced impacts in regions with higher digital and economic development.

CONCLUSIONS

The digital economy plays a crucial role in improving medical and health services, and its full potential is beneficial for the industry's advancement and sustainability. Nonetheless, addressing the uneven digital economy development across regions is essential to ensure equitable benefits for all areas.

Perspectives of Clients and Health Care Professionals on the Opportunities for Digital Health Interventions in Cerebrovascular Disease Care: Qualitative Descriptive Study

BACKGROUND

Cerebrovascular diseases (CVDs) are a major and potentially increasing burden to public health. Digital health interventions (DHIs) could support access to and provision of high-quality health care (eg, outcomes, safety, and satisfaction), but the design and development of digital solutions and technologies lack the assessment of user needs. Research is needed to identify opportunities to address health system challenges and improve CVD care with primary users of services as the key informants of everyday requirements.

OBJECTIVE

This study aims to identify opportunities for DHIs from clients' and health care professionals' perspectives to address health system challenges and improve CVD care.

METHODS

This study used a qualitative, descriptive approach. Semistructured, in-person interviews were conducted with 22 clients and 26 health care professionals in a single tertiary-level hospital in Finland between August 2021 and March 2022. The data were analyzed using a deductive and inductive content analysis.

RESULTS

Identified opportunities for DHIs in CVD care were organized according to clients, health care professionals, and data services and classified into 14 main categories and 27 generic categories, with 126 subcategories of requirements. DHIs for clients could support the long-term management of health and life changes brought on by CVD. They could provide access to personal health data and offer health information, support, and communication possibilities for clients and their caregivers. Health care professionals would benefit from access to relevant patient data, along with systems and tools that support competence and decision-making. Intersectoral and professional collaboration could be promoted with digital platforms and care pathways. DHIs for data services could enhance care planning and coordination with novel predictive data and interoperable systems for data exchange.

CONCLUSIONS

The combined study of client and health care professional perspectives identified several opportunities and requirements for DHIs that related to the information, availability, quality, acceptability, utilization, efficiency, and accountability challenges of health systems. These findings provide valuable social insights into digital transformation and the emerging design, development, and use of user-centered technologies and applications to address challenges and improve CVD care and health care.

Current Status of Barriers to mHealth Access Among Patients With Stroke and Steps Toward the Digital Health Era: Systematic Review

BACKGROUND

Mobile health (mHealth) offers significant benefits for patients with stroke, facilitating remote monitoring and personalized health care solutions beyond traditional settings. However, there is a dearth of comprehensive data, particularly qualitative insights, on the barriers to mHealth access. Understanding these barriers is crucial for devising strategies to enhance mHealth use among patients with stroke.

OBJECTIVE

This study aims to examine the recent literature focusing on barriers to mHealth access among patients with stroke.

METHODS

A systematic search of PubMed, MEDLINE, Web of Science, and CINAHL Plus Full Text was conducted for literature published between 2017 and 2023. Abstracts and full texts were independently screened based on predetermined inclusion and exclusion criteria. Data synthesis was performed using the convergent integrated analysis framework recommended by the Joanna Briggs Institute.

RESULTS

A total of 12 studies met the inclusion criteria. The majority were qualitative studies (about 42%), followed by mixed methods (25%), pilot studies (about 17%), nonrandomized controlled trials (about 8%), and observational studies (about 8%). Participants included patients with stroke, caregivers, and various health care professionals. The most common mHealth practices were home-based telerehabilitation (30%) and poststroke mHealth and telecare services (20%). Identified barriers were categorized into two primary themes: (1) at the patient level and (2) at the health provider-patient-device interaction level. The first theme includes 2 subthemes: health-related issues and patient acceptability. The second theme encompassed 3 subthemes: infrastructure challenges (including software, networking, and hardware), support system deficiencies, and time constraints.

CONCLUSIONS

This systematic review underscores significant barriers to mHealth adoption among patients with stroke. Addressing these barriers in future research is imperative to ensure that mHealth solutions effectively meet patients' needs.

Digital health in stroke: a narrative review

Digital health is significantly transforming stroke care, particularly in remote and economically diverse regions, by harnessing mobile and wireless technologies, big data, and artificial intelligence (AI). Despite the promising advancements, a notable gap exists in the formal clinical validation of many digital health applications, raising concerns about their efficacy and safety in real-world clinical settings. Our review systematically explores the landscape of digital health in stroke care, assessing the development, validation, and implementation of various digital tools. We adopted a comprehensive search strategy, scrutinizing peer-reviewed articles published between January 2015 and January 2024, to gather evidence on the effectiveness of digital health interventions. A rigorous quality assessment was conducted to ensure the reliability of the included studies, with findings synthesized to underscore key technological innovations and their clinical outcomes. Ethical considerations were meticulously observed to maintain data confidentiality and integrity. Our findings highlight the transformative potential of mobile health technologies, AI, and telemedicine in improving diagnostic accuracy, treatment efficacy, and patient outcomes in stroke care. Our paper delves into the evolution and impact of digital health in cerebrovascular prevention, diagnosis, rehabilitation and stroke treatment, emphasizing the digital health's role in enhancing access to expert care, mitigating treatment delays and improving outcomes. However, the review also underscores the critical need for rigorous clinical validation and ethical considerations in the development and deployment of digital health technologies to ensure their safe and effective integration into stroke care practices.

Investigating the Implementation of Community-Based Stroke Telerehabilitation in England; A Realist Synthesis Study Protocol

Telerehabilitation (TR) shows promise as a method of remote service delivery, yet there is little guidance to inform implementation in the context of the National Health Service (NHS) in England. This paper presents the protocol for a realist synthesis study aiming to investigate how TR can be implemented to support the provision of high-quality, equitable community-based stroke rehabilitation, and under what conditions. Using a realist approach, we will synthesise information from (1) an evidence review, (2) qualitative interviews with clinicians (n ≤ 30), and patient-family carer dyads (n ≤ 60) from three purposively selected community stroke rehabilitation services in England. Working groups including rehabilitation professionals, service-users and policy-makers will co-develop actionable recommendations. Insights from the review and the interviews will be synthesised to test and refine programme theories that explain how TR works and for whom in clinical practice, and draw key messages for service implementation. This protocol highlights the need to improve our understanding of TR implementation in the context of multidisciplinary, community-based stroke service provision. We suggest the use of a realist methodology and co-production to inform evidence-based recommendations that consider the needs and priorities of clinicians and people affected by stroke.

Closing the Sex-Based Differences in Stroke Care: Insights from a Large Telestroke Network on Treatment and Postacute Management

Background

The evolution of ischemic stroke is different accordin'g to sex and is one of the main causes of death in women. Previous studies have shown that women are less likely to receive acute treatment, and stroke center type is an important predictor of door-to-needle times. We investigated whether women are attended in a similar way to men in the telestroke network with specialized stroke physicians.

Methods

A prospective registry of ischemic strokes recorded in the centralized Andalusian telestroke network was analyzed, focusing on sex differences. Demographic data, clinical characteristics, neuroimaging data, treatment intervals, follow-up visits, and clinical outcomes were collected.

Results

A total of 3009 suspected stroke patients were attended to in the telestroke network from 2019 to 2023, of which 42.74% were women. Women were older (p < 0.001) and less independent upon arrival (p = 0.006) than men. There was no difference in the treatment received or in the treatment time intervals between the groups. Importantly, there was no difference in modified Rankin scale scores at 3 months between sexes. At 3 months post-stroke follow-up, women had fewer imaging tests (p = 0.018) and fewer outpatient visits (p < 0.001) than men.

Conclusions

No significant difference between men and women has been found in the acute treatment of stroke in a large telestroke network. However, the same is not true for the follow-up and management of patients after the acute phase. This fact supports that strict adherence to protocols and specialization of care lead to equal care that avoids sex differences in stroke treatment and functional outcomes.

Current trends and future perspectives of stroke management through integrating health care team and nanodrug delivery strategy

Stroke is accounted as the second-most mortality and adult disability factor in worldwide, while causes the bleeding promptly and lifetime consequences. The employed functional recovery after stroke is highly variable, allowing to deliver proper interventions to the right stroke patient at a specific time. Accordingly, the multidisciplinary nursing team, and the administrated drugs are major key-building-blocks to enhance stroke treatment efficiency. Regarding the healthcare team, adequate continuum of care have been declared as an integral part of the treatment process from the pre-hospital, in-hospital, to acute post-discharge phases. As a curative perspective, drugs administration is also vital in surviving at the early step and reducing the probability of disabilities in later. In this regard, nanotechnology-based medicinal strategy is exorbitantly burgeoning. In this review, we have highlighted the effectiveness of current clinical care considered by nursing teams to treat stroke. Also, the advancement of drugs through synthesis of miniaturized nanodrug formations relating stroke treatment is remarked. Finally, the remained challenges toward standardizing the healthcare team and minimizing the nanodrugs downsides are discussed. The findings ensure that future works on normalizing the healthcare nursing teams integrated with artificial intelligence technology, as well as advancing the operative nanodrugs can provide value-based stroke cares.

Exploring the views and experiences of people recovering from a stroke about a new text message intervention to promote physical activity after rehabilitation-Keeping Active with Texting After Stroke: A qualitative study

BACKGROUND

Participating in exercise following a stroke is essential for recovery. When community-based rehabilitation services end, some people struggle to remain active. We codesigned Keeping Active with Texting After Stroke (KATS), a text message intervention to support home-based, self-directed plans to continue exercising. KATS delivers a series of automated text messages over a 12-week period from the point of discharge from National Health Service-funded therapy. The aim of this study was to explore the views and experiences of the first cohort of participants to complete the KATS intervention about the meaning, engagement, workability and worth of the intervention.

METHODS

We undertook a qualitative study, theoretically informed by Normalisation Process Theory. We conducted semi-structured telephone interviews with people with stroke from two Health Boards in Scotland. Data collection took place over two phases, with each participant being interviewed twice: first, halfway through intervention delivery (Week 6) and then again at the end of the intervention (Week 12). All interviews were audio-recorded, transcribed and analysed thematically.

RESULTS

A total of 24 interviews were conducted with 12 participants. Our findings were organised around four overarching analytical themes: (1) making sense of KATS: timing and complementarity in the rehabilitation journey; (2) engaging with KATS: connection and identification with others; (3) making KATS work: flexibility and tailorable guidance; (4) appraising the worth of KATS: encouragement and friendliness. Participants differentiated KATS from current rehabilitation practice, finding it relevant, fitting and worthwhile. Variations were reported in engagement with behaviour change techniques, but participants were able to tailor KATS use, making it work for them in different ways.

CONCLUSIONS

Perceived benefits went beyond promoting physical activity, including feeling supported and connected. Future research will test the effectiveness of KATS in promoting physical activity and explore any associations with relevant social and emotional secondary outcomes.

PATIENT OR PUBLIC CONTRIBUTION

A research funding proposal was developed in collaboration with five people with stroke and three spouses. After securing funding, six people with stroke were invited to join the project's Collaborative Working Group, alongside health professionals and stroke rehabilitation experts, to codevelop the intervention and support the feasibility study.

Neighborhood socioeconomic disadvantage measures in rehabilitation clinical trials: Lessons learned in recruitment

PURPOSE

The Area Deprivation Index (ADI) measures the relative disadvantage of an individual or social network using US Census indicators. Although a strong re-hospitalization predictor, ADI has not been routinely incorporated into rehabilitation research. The purposes of this paper are to examine the use of ADI related to study recruitment, association with carepartner psychosocial factors, and recruitment strategies to increase participant diversity.

METHODS

Descriptive analysis of baseline data from a pilot stroke carepartner-integrated therapy trial. Participants were 32 carepartners (N = 32; 62.5 % female; mean age 57.8 ± 13.0 years) and stroke survivors (mean age (60.6 ± 14.2) residing in an urban setting. Measures included ADI, Bakas Caregiver Outcome Scale, Caregiver Strain Index, and Family Assessment Device.

RESULTS

Most carepartners were Non-Hispanic White participants (61.3 %), part or fully employed (43 %), with >$50,000 (67.7 %) income, and all had some college education. Most stroke survivors were Non-Hispanic White participants (56.3 %) with some college (81.3 %). Median ADI state deciles were 3.0 (interquartile range 1.5-5, range 1-9), and mean national percentiles were 41.7 ± 23.5 with only 6.3 % of participants from the most disadvantaged neighborhoods. For the more disadvantaged half of the state deciles, the majority were Black or Asian participants. No ADI and carepartner factors were statistically related.

CONCLUSIONS

The use of ADI data highlighted a recruitment gap in this stroke study, lacking the inclusivity of participants from disadvantaged neighborhoods and with lower education. Using social determinants of health indicators to identify underrepresented neighborhoods may inform recruitment methods to target marginalized populations and broaden the generalizability of clinical trials.

Strategies and solutions to address Digital Determinants of Health (DDOH) across underinvested communities

Healthcare has long struggled to improve services through technology without further widening health disparities. With the significant expansion of digital health, a group of healthcare professionals and scholars from across the globe are proposing the official usage of the term "Digital Determinants of Health" (DDOH) to explicitly call out the relationship between technology, healthcare, and equity. This is the final paper in a series published in PLOS Digital Health that seeks to understand and summarize current knowledge of the strategies and solutions that help to mitigate the negative effects of DDOH for underinvested communities. Through a search of English-language Medline, Scopus, and Google Scholar articles published since 2010, 345 articles were identified that discussed the application of digital health technology among underinvested communities. A group of 8 reviewers assessed 132 articles selected at random for the mention of solutions that minimize differences in DDOH. Solutions were then organized by categories of policy; design and development; implementation and adoption; and evaluation and ongoing monitoring. The data were then assessed by category and the findings summarized. The reviewers also looked for common themes across the solutions and evidence of effectiveness. From this limited scoping review, the authors found numerous solutions mentioned across the papers for addressing DDOH and many common themes emerged regardless of the specific community or digital health technology under review. There was notably less information on solutions regarding ongoing evaluation and monitoring which corresponded with a lack of research evidence regarding effectiveness. The findings directionally suggest that universal strategies and solutions can be developed to address DDOH independent of the specific community under focus. With the need for the further development of DDOH measures, we also provide a framework for DDOH assessment.

Digital Health Implementation Strategies Coproduced With Adults With Acquired Brain Injury, Their Close Others, and Clinicians: Mixed Methods Study With Collaborative Autoethnography and Network Analysis

BACKGROUND

Acquired brain injuries (ABIs), such as stroke and traumatic brain injury, commonly cause cognitive-communication disorders, in which underlying cognitive difficulties also impair communication. As communication is an exchange with others, close others such as family and friends also experience the impact of cognitive-communication impairment. It is therefore an internationally recommended best practice for speech-language pathologists to provide communication support to both people with ABI and the people who communicate with them. Current research also identifies a need for neurorehabilitation professionals to support digital communication, such as social media use, after ABI. However, with >135 million people worldwide affected by ABI, alternate and supplementary service delivery models are needed to meet these communication needs. The "Social Brain Toolkit" is a novel suite of 3 interventions to deliver communication rehabilitation via the internet. However, digital health implementation is complex, and minimal guidance exists for ABI.

OBJECTIVE

This study aimed to support the implementation of the Social Brain Toolkit by coproducing implementation knowledge with people with ABI, people who communicate with people with ABI, clinicians, and leaders in digital health implementation.

METHODS

A maximum variation sample (N=35) of individuals with living experience of ABI, close others, clinicians, and digital health implementation leaders participated in an explanatory sequential mixed methods design. Stakeholders quantitatively prioritized 4 of the 7 theoretical domains of the Nonadoption, Abandonment, Scale-up, Spread, and Sustainability (NASSS) framework as being the most important for Social Brain Toolkit implementation. Qualitative interview and focus group data collection focused on these 4 domains. Data were deductively analyzed against the NASSS framework with stakeholder coauthors to determine implementation considerations and strategies. A collaborative autoethnography of the research was conducted. Interrelationships between considerations and strategies were identified through a post hoc network analysis.

RESULTS

Across the 4 prioritized domains of "condition," "technology," "value proposition," and "adopters," 48 digital health implementation considerations and 52 tailored developer and clinician implementation strategies were generated. Benefits and challenges of coproduction were identified. The post hoc network analysis revealed 172 unique relationships between the identified implementation considerations and strategies, with user and persona testing and responsive design identified as the potentially most impactful strategies.

CONCLUSIONS

People with ABI, close others, clinicians, and digital health leaders coproduced new knowledge of digital health implementation considerations for adults with ABI and the people who communicate with them, as well as tailored implementation strategies. Complexity-informed network analyses offered a data-driven method to identify the 2 most potentially impactful strategies. Although the study was limited by a focus on 4 NASSS domains and the underrepresentation of certain demographics, the wealth of actionable implementation knowledge produced supports future coproduction of implementation research with mutually beneficial outcomes for stakeholders and researchers.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

RR2-10.2196/35080.

Telehealth in PM&R: Past, present, and future in clinical practice and opportunities for translational research

Telehealth refers to the use of telecommunication devices and other forms of technology to provide services outside of the traditional in-person health care delivery system. Growth in the use of telehealth creates new challenges and opportunities for implementation in clinical practice. The American Academy of Physical Medicine and Rehabilitation (AAPM&R) assembled an expert group to develop a white paper to examine telehealth innovation in Physical Medicine and Rehabilitation (PM&R). The resultant white paper summarizes how telehealth is best used in the field of PM&R while highlighting current knowledge deficits and technological limitations. The report identifies new and transformative opportunities for PM&R to advance translational research related to telehealth and enhance patient care.

The Communication of Scientific Information to Scientists, Clinicians, and the Public: Recommendations for Achieving Health Equity

Optimizing health care decisions relies critically on the availability of health-related information appropriate to the specific needs and circumstances of the individual. Abundant research has demonstrated that information relevant to health care decision-making reflects disparities along multiple axes of sex, race, socioeconomic status, geography, sexual orientation, and other factors. Compounding the problem is that mechanisms of access to information themselves, increasingly recognized as part of the social determinants of health, can perpetuate and even exacerbate these disparities. Critical to achieving neurologic health equity is the application of evidence-based strategies to inform the effective and efficient communication of information that can influence patients' behaviors, enhance community trust in the scientific enterprise, and shape health systems and policies. In 2020, as part of a strategic planning initiative, the National Institute of Neurological Disorders and Stroke (NINDS) charged its Advisory Council to form a working group of experts to provide recommendations for reducing health disparities. Here, we report our subgroup's findings, which focused on the role of communication in addressing neurologic disparities and inequities to achieve health equity. We find a need for incentivizing and supporting the application of communication science across the spectrum of neurologic health research. We present recommendations for NINDS and individual investigators to support communication activities that advance neurologic health equity.

Patients' Perspectives Regarding Digital Health Technology to Support Self-management and Improve Integrated Stroke Care: Qualitative Interview Study

BACKGROUND

Digital technologies such as mobile apps and robotics have the potential to involve stroke patients better in the care process and to promote self-management. However, barriers exist that constrain the adoption and acceptance of technology in clinical practice. Examples of barriers are privacy concerns, challenges regarding usability, and the perception that there is no need for health-related technology. To address these barriers, co-design can be used to enable patients to reflect on their experiences of a service and to tailor digital technologies to the needs and preferences of end users regarding content and usability.

OBJECTIVE

This study aims to explore the perspectives of stroke patients toward how digital health technology could support self-management regarding health and well-being, as well as integrated stroke care.

METHODS

A qualitative study was conducted to understand patient perspectives. Data were collected in co-design sessions during the ValueCare study. Patients from a Dutch hospital who experienced an ischemic stroke (n=36) within the past 18 months were invited to participate. Data collection took place between December 2020 and April 2021 via one-to-one telephone interviews. A short self-report questionnaire was used to collect data on sociodemographics, disease-specific information, and technology use. All interviews were audio-taped and transcribed verbatim. The interview data were analyzed using a thematic approach.

RESULTS

Patients held mixed attitudes toward digital health technologies. Some patients viewed digital technology as a convenient product or service, while others expressed no desire or need to use technology for self-management or care. Digital features suggested by stroke patients included (1) information about the causes of stroke, medication, prognosis, and follow-up care; (2) an online library with information regarding stroke-related health and care issues; (3) a personal health record by which patients can retrieve and manage their own health information; and (4) online rehabilitation support to empower patients to exercise at home. Regarding the user interface of future digital health technology, patients emphasized the need for easy-to-use and simple designs.

CONCLUSIONS

Stroke patients mentioned credible health information, an online library with stroke-related health and care information, a personal health record, and online rehabilitation support as the main features to include in future digital health technologies. We recommend that developers and designers of digital health for stroke care listen to the "voice of the stroke patients" regarding both functionality and the characteristics of the interface.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

RR2-10.1186/s12877-022-03333-8.

Care Transition Interventions to Improve Stroke Outcomes: Evidence Gaps in Underserved and Minority Populations

In many countries hospital length of stay after an acute stroke admission is typically just a few days, therefore, most of a person's recovery from stroke occurs in the community. Care transitions, which occur when there is a change in, or handoff between 2 different care settings or providers, represent an especially vulnerable period for patients and caregivers. For some patients with stroke the return home is associated with substantial practical, psychosocial, and health-related challenges leading to substantial burden for the individual and caregiver. Underserved and minority populations, because of their exposure to poor environmental, social, and economic conditions, as well as structural racism and discrimination, are especially vulnerable to the problems of complicated care transitions which in turn, can negatively impact stroke recovery. Overall, there remain significant unanswered questions about how to promote optimal recovery in the post-acute care period, particularly for those from underserved communities. Evidence is limited on how best to support patients after they have returned home where they are required to navigate the chronic stages of stroke with little direct support from health professionals.

Telehealth Trials to Address Health Equity in Stroke Survivors

Telehealth has seen rapid expansion into chronic care management in the past 3 years because of the COVID-19 pandemic. Telehealth for acute care management has expanded access to equitable stroke care to many patients over the past two decades, but there is limited evidence for its benefit for addressing disparities in the chronic care of patients living with stroke. In this review, we discuss advantages and disadvantages of telehealth use for the outpatient management of stroke survivors. Further, we explore opportunities and potential barriers for telehealth in addressing disparities in stroke outcomes related to various social determinants of health. We discuss two ongoing large randomized trials that are utilizing telehealth and telemonitoring for management of blood pressure in diverse patient populations. Finally, we discuss strategies to address barriers to telehealth use in patients with stroke and in populations with adverse social determinants of health.

Immersion Therapy with Head-Mounted Display for Rehabilitation of the Upper Limb after Stroke-Review

Immersive virtual therapy technology is a new method that uses head-mounted displays for rehabilitation purposes. It offers a realistic experience that puts the user in a virtual reality. This new type of therapy is used in the rehabilitation of stroke patients. Many patients after this disease have complications related to the upper extremities that limit independence in their everyday life, which affects the functioning of society. Conventional neurological rehabilitation can be supplemented by the use of immersive virtual therapy. The system allows patients with upper limb dysfunction to perform a motor and task-oriented training in virtual reality that is individually tailored to their performance. The complete immersion therapy itself is researched and evaluated by medical teams to determine the suitability for rehabilitation of the upper limb after a stroke. The purpose of this article is to provide an overview of the latest research (2019-2022) on immersive virtual reality with head-mounted displays using in rehabilitation of the upper extremities of stroke patients.

Development of a 30-Day Readmission Risk Calculator for the Inpatient Rehabilitation Setting

OBJECTIVES

Readmission to acute care from the inpatient rehabilitation facility (IRF) setting is potentially preventable and an important target of quality improvement and cost savings. The objective of this study was to develop a risk calculator to predict 30-day all-cause readmissions from the IRF setting.

DESIGN

Retrospective database analysis using the Uniform Data System for Medical Rehabilitation (UDSMR) from 2015 through 2019.

SETTING AND PARTICIPANTS

In total, 956 US inpatient rehabilitation facilities and 1,849,768 IRF discharges comprising patients from 14 impairment groups.

METHODS

Logistic regression models were developed to calculate risk-standardized 30-day all-cause hospital readmission rates for patients admitted to an IRF. Models for each impairment group were assessed using 12 common clinical and demographic variables and all but 4 models included various special variables. Models were assessed for discrimination (c-statistics), calibration (calibration plots), and internal validation (bootstrapping). A readmission risk scoring system was created for each impairment group population and was graphically validated.

RESULTS

The mean age of the cohort was 68.7 (15.2) years, 50.7% were women, and 78.3% were Caucasian. Medicare was the primary payer for 73.1% of the study population. The final models for each impairment group included between 4 and 13 total predictor variables. Model c-statistics ranged from 0.65 to 0.70. There was good calibration represented for most models up to a readmission risk of 30%. Internal validation of the models using bootstrap samples revealed little bias. Point systems for determining risk of 30-day readmission were developed for each impairment group.

CONCLUSIONS AND IMPLICATIONS

Multivariable risk factor algorithms based upon administrative data were developed to assess 30-day readmission risk for patients admitted from IRF. This report represents the development of a readmission risk calculator for the IRF setting, which could be instrumental in identifying high risk populations for readmission and targeting resources towards a diverse group of IRF impairment groups.

The Syndemic of Inequity and COVID-19 in Virtual Care

The critical intersections of structural inequities and vulnerabilities of marginalized populations, particularly those engaging the social gradient of minority ethnic communities, are revealed in the syndemic approach to COVID-19. Although proposals for cultural interventions to improve virtual care provide relevant measures, they may not address the root cause of the disparate impacts of a pandemic on population subgroups. The common misperception of equality as synonymous with equity further impedes the efficacy of digital health in quality-of-care initiatives, as it systemically fails to acknowledge the disparate realities of marginalized populations, while intending to benefit all. This commentary suggests that an alignment of the health care system with Canada’s pluralist principles would support a paradigm shift in transforming virtual care into an equitable standard as envisioned by Pham and colleagues in their paper, “The Future of Virtual Care for Older Ethnic Adults Beyond the COVID-19 Pandemic.”

Health Equity and Actionable Disparities in Stroke: 2021 Update

There are stark inequities in stroke incidence, prevalence, acute care, rehabilitation, risk factor control, and outcomes. To address these inequities, it is critical to engage communities in identifying priorities and designing, implementing, and disseminating interventions. This issue of Stroke features health equity themed lectures delivered during the International Stroke Conference and Health Equity and Actionable Disparities in Stroke: Understanding and Problem-Solving meetings in 2021 as well as articles covering issues of disparities and diversity in stroke. Bruce Ovbiagele, MD, MSc, MAS, MBA, MLS, received the 2021 William Feinberg Award Lecture for his lifetime achievements in seeking global and local solutions to cerebrovascular health inequities. The second annual Health Equity and Actionable Disparities in Stroke: Understanding and Problem-Solving symposium, which took place the day before the International Stroke Conference in February 2021, focused on community-engaged research for reducing inequities in stroke. Phil Gorelick, MD was awarded the Edgar J. Kenton III Award for his lifetime achievements in using community engagement strategies to recruit and retain Black participants in observational studies and clinical trials. Walter Koroshetz, MD, Director of the National Institute of Neurological Disorders and Stroke delivered the keynote lecture on stroke inequities and Richard Benson, MD, PhD, Director of the Office of Global Health and Health Disparities at National Institute of Neurological Disorders and Stroke, gave a lecture focused on National Institute of Neurological Disorders and Stroke efforts to address inequities. Nichols et al highlighted approaches of community-based participatory research to address stroke inequities. Verma et al showcased digital health innovations to reduce inequities in stroke. Das et al showed that the proportion of underrepresented in medicine vascular neurology fellows has lowered over the past decade and authors provided a road map for enhancing the diversity in vascular neurology. Clearly, to overcome inequities, multipronged strategies are required, from broadening representation among vascular neurology faculty to partnering with communities to conduct research with meaningful impact.