Stroke Rehabilitation Outcomes Research Articles

Enhancing stroke care in Ghana: A systematic review of stroke rehabilitation services

ObjectiveIn Ghana, the shifting demographics of stroke incidence towards young adults have prompted the expansion of stroke care and rehabilitation efforts. Nevertheless, the precise impact of stroke rehabilitation remains unclear. We conducted a systematic review to explore the landscape and effects of stroke rehabilitation in Ghana. MethodWe identified articles on stroke rehabilitation services in Ghana through searches of PubMed, Scopus, Embase, and Web of Science from inception until February 2024. The Critical Appraisal Skills Programme (CASP) Qualitative Checklist was employed to assess the risk of bias in the included studies, supplemented by qualitative synthesis. ResultsAmong the 213 articles screened, 8 were deemed suitable for review. These studies primarily focused on two groups: stroke survivors (n = 335) and healthcare professionals (HCPs) (n = 257). Many stroke survivors reported significant benefits from telerehabilitation, with increased participation in rehabilitation activities correlating with improved physical and cognitive outcomes. The findings also underscored a lack of knowledge about stroke rehabilitation among HCPs, alongside variations in the availability of protocols and guidelines for stroke management across different hospital levels. ConclusionsThe review reveals several challenges in stroke rehabilitation in Ghana, including disparities in HCPs' perceptions and utilization of rehabilitation services. The findings emphasize the need for comprehensive, patient-centered approaches, standardized training for HCPs, improved resource allocation, and the integration of telehealth to overcome barriers and enhance stroke rehabilitation in Ghana. These insights hold significance not only for Ghana but also for guiding strategies in similar contexts worldwide, aiming to improve stroke rehabilitation outcomes.

Comparative Analysis of Physical Therapy Outcomes in Acute Ischemic and Hemorrhagic Stroke Rehabilitation

Background: Stroke rehabilitation demands an effective therapeutic approach to enhance functional recovery. This study aims to compare the outcomes of physical therapy in patients with acute ischemic and hemorrhagic stroke using the Motor Relearning Programme (MRP). Methodology: Based on stroke type, confirmed via CT thirty-eight participants were stratified into ischemic & hemorrhagic stroke group. Eligible participants were over 35 years old, had a Glasgow Coma Scale score above 5, and presented with hemiplegia. Exclusion criteria included trauma-induced hemorrhage, cerebellar or brainstem stroke, severe cognitive impairment, or pre-existing disabilities. The participants underwent a standardized four-week physiotherapy regimen based on the MRP, with assessments using the Motor Assessment Scale (MAS) and Functional Independence Measure (FIM) to evaluate the outcomes. Results: These results underscore the significant improvements in the functional outcomes observed in both ischemic and hemorrhagic stroke patients following physical therapy, with hemorrhagic stroke patients showing more substantial gains in both MAS and FIM scores. Conclusion: Our study contributes to a nuanced understanding of stroke rehabilitation, emphasizing that while both ischemic and hemorrhagic stroke patients significantly benefit from structured physical therapy interventions like MRP, the specifics of their recovery processes vary.

Gait Function and its Association with Functional Independence, Quality of Life, and Community Reintegration in Stroke Survivors.

Background and Aims: The major outcome of stroke rehabilitation is the recovery of the ability to walk. However, a large proportion of stroke survivors are discharged to the community with gait deficiency which impairs their functional independence, and quality of life increasing the burden of care on caregivers especially their lack of functioning in the community. This study assessed the gait functional performance in community-dwelling stroke survivors and explored its association with functional independence, quality of life, and community reintegration in community-dwelling stroke survivors. Materials and methods: This study involved 115(59 males and 56 females) community-dwelling stroke survivors. Their gait functional performance was assessed using the 10-meter walk test (10MWT) while their functional independence was assessed with the functional independence measure (FIM). Their quality of life (QoL) was assessed using the Stroke-specific QoL scale while community functioning and productivity were assessed using the community integration questionnaire (CIQ). Their scores on the assessments were compared with the normative data of their age and sex-matched healthy individuals. Data was analysed using Spearman’s correlation coefficient and Chi-Square at p<.05. Results: Participants’ ages ranged between 27 to 78 years (mean=60.48±37.84 years). More participants (56.7%) had right hemispheric lesions and 43.3% had lesions in the left hemisphere. Their gait function, functional independence performance, QoL, and community reintegration functions were significantly (p<0.05) lower than their age and sex-matched normative data. There was a significant (p<0.05) association and relationship between their gait functional performance and each of the functional independence performance, QoL, community reintegration, and productivity. Conclusion: Gait functional performance in community-dwelling stroke survivors is significantly lower than in age and sex-matched healthy individuals and it is significantly associated with low functional independence performance, low quality of life, poor community functioning, and lack of productivity in stroke survivors, Abnormal gait pattern is related to poor functional independence, poor quality of life and low productivity.

Soft Hand Exoskeletons for Rehabilitation: Approaches to Design, Manufacturing Methods, and Future Prospects

Stroke, the third leading cause of global disability, poses significant challenges to healthcare systems worldwide. Addressing the restoration of impaired hand functions is crucial, especially amid healthcare workforce shortages. While robotic-assisted therapy shows promise, cost and healthcare community concerns hinder the adoption of hand exoskeletons. However, recent advancements in soft robotics and digital fabrication, particularly 3D printing, have sparked renewed interest in this area. This review article offers a thorough exploration of the current landscape of soft hand exoskeletons, emphasizing recent advancements and alternative designs. It surveys previous reviews in the field and examines relevant aspects of hand anatomy pertinent to wearable rehabilitation devices. Furthermore, the article investigates the design requirements for soft hand exoskeletons and provides a detailed review of various soft exoskeleton gloves, categorized based on their design principles. The discussion encompasses simulation-supported methods, affordability considerations, and future research directions. This review aims to benefit researchers, clinicians, and stakeholders by disseminating the latest advances in soft hand exoskeleton technology, ultimately enhancing stroke rehabilitation outcomes and patient care.

A Pilot Trial of Integrative Medicine for Stroke Rehabilitation: Expert Recommendations for the Development and Sustainability of Integrative Medicine

Background: Strategies towards development and sustainability of integrative treatment in stroke rehabilitation medicine are needed. National expert recommendations based on the implementation of Integrative Medicine (IM) in stroke rehabilitation and IM outcomes would be invaluable.Methods: A pilot study was performed and the effectiveness of combining Korean traditional medicine and Western conventional medicine in post-stroke patients (ischemic stroke <i>n</i> = 15 and hemorrhagic stroke <i>n</i> = 4) was evaluated, and recommendations were developed through consensus with physicians in national centers of rehabilitative medicine. Outcome measures [Korean Modified Barthel Index (K-MBI), Korean Mini Mental State Examination (K-MMSE), Modified Rankin Scale (mRS), and EuroQol 5-dimension 5-level (EQ-5D-5L) assessment were used at baseline, 4, 8 (K-MBI, K-MMSE, mRS, and EQ-5D-5L) and 12 weeks post treatment (EQ-5D-5L and mRS).Results: Improvements were observed in functional and cognitive abilities at 8 weeks (K-MBI score <i>p</i> = 0.0062; K-MMSE score <i>p</i> = 0.046). Quality of life improvements (EQ-5D-5L) were observed but were not statistically significant. The disability assessment (mRS) indicated a gradual improvement from baseline to 12 weeks. No adverse events were reported. For effective, patient-centered IM treatment: (1) build a strong evidence base for IM as compared with Western medicine alone or traditional medicine alone; (2) active expert collaboration; (3) IM promotion in public medical institutions; and (4) continued government support.Conclusion: Functional and cognitive abilities of stroke patients statistically significantly improved following 8 weeks of IM treatment. Strategies have been suggested towards the development and sustainability of IM treatment in stroke rehabilitation medicine.

Influence of Nutritional Interventions on Functional Outcomes in Stroke Rehabilitation: A Systematic Review.

Stroke, a major cause of disability worldwide, necessitates comprehensive rehabilitation, with nutrition playing a pivotal role in recovery. Our systematic review assesses the impact of nutritional interventions on stroke survivors' rehabilitation. Adhering to Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, we systematically searched PubMed, Embase, Web of Science, and Scopus, using keywords related to stroke rehabilitation and nutrition. Studies were selected based on criteria emphasizing dietary interventions and their effect on functional recovery in stroke patients. The review involved detailed data extraction and synthesis, covering study design, participant characteristics, interventions, and outcomes. Five studies met our inclusion criteria, encompassing longitudinal and prospective studies, retrospective cohorts, and randomized controlled trials. These studies highlighted the importance of early nutritional assessment, particularly for sarcopenic patients, and the role of energy and protein intake soon after a stroke. Findings indicated high nutritional risk correlated with poorer functional outcomes and increased inflammation. Tailored dietary support appeared beneficial for muscle mass maintenance and overall functional recovery, especially in older patients. Our review emphasizes the critical role of nutritional interventions in stroke rehabilitation. It suggests that personalized nutritional strategies can positively impact functional recovery, notably in older and nutritionally vulnerable stroke survivors. These insights underscore the necessity of integrating dietary assessments and interventions into standard stroke rehabilitation protocols, advocating a holistic approach to patient care.

Preparing for a clinical study on implant-enhance stroke rehabilitation

Preparing for a clinical study on implant-enhance stroke rehabilitation Martin Schuettler, Chief Technology Officer at CorTec GmbH, addresses key questions around the development of the company’s innovative Brain Interchange System to support stroke rehabilitation therapy. CorTec has developed the Brain Interchange (BIC) implant system to improve stroke rehabilitation outcomes by enhancing the effect of conventional physio and/or occupational therapy. (1, 2) The effectiveness of the new implant-supported therapy will be investigated in an early feasibility study planned for 2024 to be carried out in Washington, US. While working on the approval of the feasibility study, uncertainties and unknowns of the study are investigated. These involve questions around usability and technical performance.

Effects of virtual reality-based cognitive interventions on cognitive function and activity of daily living among stroke patients: Systematic review and meta-analysis.

To examine the effects of virtual reality-based cognitive interventions on cognitive function and activities of daily living among stroke patients, and to identify the optimal design for such intervention. Systematic review and meta-analysis. Medline, EMBASE, Cochrane, CINANL, JBI-EBP and Web of Science from inception to October 2023. Methodological quality was assessed by Risk of Bias Tool. Meta-analyses were assessed by Review Manager 5.4. Subgroup analyses were conducted to explore the influence of study design. Grading of Recommendations Assessment, Development and Evaluation approach was adopted to assess the certainty of evidence. Twenty-five randomized controlled trials (1178 participants) were included. Virtual reality-based cognitive interventions demonstrated moderate-to-large effects in improving global cognitive function (SMD = 0.43; 95% CI [0.01, 0.85]), executive function (SMD = 0.84; 95% CI [0.25, 1.43]) and memory (SMD = 0.65; 95% CI [0.15, 1.16]) compared to control treatments. No significant effects were found on language, visuospatial ability and activities of daily living. Subgroup analyses indicated one-on-one coaching, individualized design and dynamic difficulty adjustment, and interventions lasting ≥ 6 weeks had particularly enhanced effects, especially for executive function. Virtual reality-based cognitive interventions improve global cognitive function, executive function and memory among stroke patients. This review underscores the broad cognitive advantages offered by virtual technology, suggesting its potential integration into standard stroke rehabilitation protocols for enhanced cognitive recovery. The study identifies key factors in virtual technology interventions that effectively improve cognitive function among stroke patients, offering healthcare providers a framework for leveraging such technology to optimize cognitive outcomes in stroke rehabilitation. PRISMA 2020 statement. CRD42022342668.

Personalized robots for long-term telerehabilitation after stroke: a perspective on technological readiness and clinical translation.

Stroke rehabilitation, which demands consistent, intensive, and adaptable intervention in the long term, faced significant challenges due to the COVID-19 pandemic. During this time, telerehabilitation emerged as a noteworthy complement to traditional rehabilitation services, offering the convenience of at-home care delivery and overcoming geographical and resource limitations. Self-help rehabilitation robots deliver repetitive and intensive physical assistance, thereby alleviating the labor burden. However, robots have rarely demonstrated long-term readiness for poststroke telerehabilitation services. The transition from research trials to general clinical services presents several challenges that may undermine the rehabilitative gains observed in these studies. This perspective discusses the technological readiness of personal use robots in the context of telerehabilitation and identifies the potential challenges for their clinical translation. The goal is to leverage technology to seamlessly integrate it into standard clinical workflows, ultimately enhancing the outcomes of stroke rehabilitation.

Impaired Cognition and Stroke Rehabilitation Outcomes: Are They Related?

Impaired Cognition and Stroke Rehabilitation Outcomes: Are They Related?

The Use of Robotic Technology in Stroke Rehabilitation – A Review

Stroke is a significant cause of death and disability in the world. It creates problems for families and nationaleconomies alike due to its disruptive nature. Rehabilitation is a way to treat disabilities in stroke survivors, apopulation that is steadily growing into a larger percentage of the population. However, stroke rehabilitation is notstandardized as there is no clear evidence-based guideline that can be applied to every person, leading to differencesin care. Other problems with rehabilitation include limitations with a therapist’s ability to work continuously andconsistently over longer periods of time. Robotics can help with solving both types of problems through their abilityto record data and work without requiring rest. There has already been development of rehabilitation robots since the1990s and more advanced robot platforms have begun to emerge in the literature. This article reviews the literatureon stroke rehabilitation and how robotics can positively affect a patient’s outcome in stroke rehabilitation. It alsoreviews several rehabilitation robots classified as either exoskeletons or end-effectors.

Theta Frequency Electromagnetic Stimulation Enhances Functional Recovery After Stroke

AbstractExtremely low-frequency, low-intensity electromagnetic field (ELF-EMF) therapy is a non-invasive brain stimulation method that can modulate neuroprotection and neuroplasticity. ELF-EMF was recently shown to enhance recovery in human stroke in a small pilot clinical trial (NCT04039178). ELF-EMFs encompass a wide range of frequencies, typically ranging from 1 to 100 Hz, and their effects can vary depending on the specific frequency employed. However, whether and to what extent the effectiveness of ELF-EMFs depends on the frequency remains unclear. In the present study, we aimed to assess the efficacy of different frequency-intensity protocols of ELF-EMF in promoting functional recovery in a mouse cortical stroke model with treatment initiated 4 days after the stroke, employing a series of motor behavior tests. Our findings demonstrate that a theta-frequency ELF-EMF (5 Hz) effectively enhances functional recovery in a reach-to-grasp task, whereas neither gamma-frequency (40 Hz) nor combination frequency (5–16-40 Hz) ELF-EMFs induce a significant effect. Importantly, our histological analysis reveals that none of the ELF-EMF protocols employed in our study affect infarct volume, inflammatory, or glial activation, suggesting that the observed beneficial effects may be mediated through non-neuroprotective mechanisms. Our data indicate that ELF-EMFs have an influence on functional recovery after stroke, and this effect is contingent upon the specific frequency used. These findings underscore the critical importance of optimizing the protocol parameters to maximize the beneficial effects of ELF-EMF. Further research is warranted to elucidate the underlying mechanisms and refine the protocol parameters for optimal therapeutic outcomes in stroke rehabilitation.

Post-Stroke Spastic Movement Disorder and Botulinum Toxin A Therapy: Early Detection And Early Injection.

Post-stroke spastic movement disorder (PS-SMD) develops in up to 40% of stroke survivors after a first ever stroke within the first year. Chronic PS-SMD is often associated with severe disabilities and complications, emphasizing the importance of its early recognition and early adequate management. Extensive research has aimed to accurately predict and sensitively detect a PS-SMD. Symptomatic therapies include conventional rehabilitation and local intramuscular injections of botulinum toxin A (BoNT-A). The latter is widely used, but primarily in the chronic phase of stroke. However, recent studies have shown the safety and efficacy of BoNT-A therapy even in the acute phase and early sub-acute phase after stroke, i.e., within three months post-stroke, leading to an improved long-term outcome in stroke rehabilitation. Local BoNT-A injections evolve as the primary approach in focal, multifocal, and segmental chronic or acute/subacute PS-SMD. Patients at high risk for or manifest PS-SMD should be identified by an early spasticity risk assessment. By doing so, PS-SMD can be integral part of the patient-centered goal-setting process of a multiprofessional spasticity-experienced team. The benefit of an early PS-SMD treatment by BoNT-A should predominate putative degenerative muscle changes due to long-term BoNT-A therapy by far. This, as early treatment effectively avoids complications typically associated with a PS-SMD, i.e., contractures, pain, skin lesions. The management of PS-SMD requires a comprehensive and multidisciplinary approach. Early assessment, patient-centered goal setting, early intervention, and early use of BoNT-A therapy prevents from PS-SMD complications and may improve rehabilitation outcome after stroke.

Comparative Effects of High and Low Frequency Deep Muscle Stimulation on Stroke Rehabilitation Outcomes

A total of 126 patients were divided into three groups in this study: a high-frequency group (60 Hz), a low-frequency group (30 Hz), and a control group. Each group underwent routine rehabilitation, medications, and whole course nutrition nursing. The high-frequency group received deep muscle stimulation at 60 Hz for 10 min daily over 14 days. The low-frequency group was treated with deep muscle stimulation at 30 Hz. Compared to the control group, deep muscle stimulation, particularly at lower frequencies, resulted in improved outcomes as indicated by lower scores on the modified Ashworth scale and National Institutes of Health Stroke Scale and higher scores on the modified Tardieu scale, Fugl-Meyer motor assessment, and Brunnstrom index. Furthermore, the Barthel index and stroke-specific quality of life scores were higher in the deep muscle stimulation groups, especially the low-frequency group. No significant differences in nutritional status were observed among the groups post-intervention. In summary, varying frequencies of deep muscle stimulation, alongside whole-course nutrition management, showed potential in reducing lower limb muscle tone and enhancing the quality of life in stroke patients. The therapeutic outcomes in the low-frequency group were more favorable compared to those in the high-frequency group.

Limitations in utilization and prioritization of standardized somatosensory assessments after stroke: A cross-sectional survey of neurorehabilitation clinicians

ABSTRACT Background and Purpose Somatosensory impairments are common after stroke, but receive limited evaluation and intervention during neurorehabilitation, despite negatively impacting functional movement and recovery. Objectives Our objective was to understand the scope of somatosensory assessments used by clinicians in stroke rehabilitation, and barriers to increasing use in clinical practice. Methods An electronic survey was distributed to clinicians (physical therapists, occupational therapists, physicians, and nurses) who assessed at least one individual with stroke in the past 6 months. The survey included questions on evaluation procedures, type, and use of somatosensory assessments, as well as barriers and facilitators in clinical practice. Results Clinicians (N = 431) indicated greater familiarity with non-standardized assessments, and greater utilization compared to standardized assessments (p < 0.0001). Components of tactile sensation were the most commonly assessed modality of somatosensation (25%), while proprioception was rarely assessed (1%). Overall, assessments of motor function were prioritized over assessments of somatosensory function (p < 0.0001). Discussion Respondents reported assessing somatosensation less frequently than motor function and demonstrated a reliance on rapid and coarse non-standardized assessments that ineffectively capture multi-modal somatosensory impairments, particularly for proprioceptive deficits common post-stroke. In general, clinicians were not familiar with standardized somatosensory assessments, and this knowledge gap likely contributes to lack of translation of these assessments into practice. Conclusions Clinicians utilize somatosensory assessments that inadequately capture the multi-modal nature of somatosensory impairments in stroke survivors. Addressing barriers to clinical translation has the potential to increase utilization of standardized assessments to improve the characterization of somatosensory deficits that inform clinical decision-making toward enhancing stroke rehabilitation outcomes.

Motivation as a Measurable Outcome in Stroke Rehabilitation: A Systematic Review of the Literature

Motivated behaviours are thought to lead to enhanced performances. In the neurorehabilitation field, motivation has been demonstrated to be a link between cognition and motor performance, therefore playing an important role upon rehabilitation outcome determining factors. While motivation-enhancing interventions have been frequently investigated, a common and reliable motivation assessment strategy has not been established yet. This review aims to systematically explore and provide a comparison among the existing motivation assessment tools concerning stroke rehabilitation. For this purpose, a literature search (PubMed and Google Scholar) was performed, using the following Medical Subject Headings terms: "assessment" OR "scale" AND "motivation" AND "stroke" AND "rehabilitation". In all, 31 randomized clinical trials and 15 clinical trials were examined. The existing assessment tools can be grouped into two categories: the first mirroring the trade-off between patients and rehabilitation, the latter reflecting the link between patients and interventions. Furthermore, we presented assessment tools which reflect participation level or apathy, as an indirect index of motivation. In conclusion, we are left to put forth a possible common motivation assessment strategy, which might provide valuable incentive to investigate in future research.

Predicting patient-reported outcome of activities of daily living in stroke rehabilitation: a machine learning study

BackgroundMachine Learning is increasingly used to predict rehabilitation outcomes in stroke in the context of precision rehabilitation and patient-centered care. However, predictors for patient-centered outcome measures for activities and participation in stroke rehabilitation requires further investigation.MethodsThis study retrospectively analyzed data collected for our previous studies from 124 participants. Machine Learning models were built to predict postintervention improvement of patient-reported outcome measures of daily activities (i.e, the Motor Activity Log and the Nottingham Extended Activities of Daily Living) and participation (i.e, the Activities of Daily Living domain of the Stroke Impact Scale). Three groups of 18 potential predictors were included: patient demographics, stroke characteristics, and baseline assessment scores that encompass all three domains under the framework of International Classification of Functioning, Disability and Health. For each target variable, classification models were built with four algorithms, logistic regression, k-nearest neighbors, support vector machine, and random forest, and with all 18 potential predictors and the most important predictors identified by feature selection.ResultsPredictors for the four target variables partially overlapped. For all target variables, their own baseline scores were among the most important predictors. Upper-limb motor function and selected demographic and stroke characteristics were also among the important predictors across the target variables. For the four target variables, prediction accuracies of the best-performing models with 18 features ranged between 0.72 and 0.96. Those of the best-performing models with fewer features ranged between 0.72 and 0.84.ConclusionsOur findings support the feasibility of using Machine Learning for the prediction of stroke rehabilitation outcomes. The study was the first to use Machine Learning to identify important predictors for postintervention improvement on four patient-reported outcome measures of activities and participation in chronic stroke. The study contributes to precision rehabilitation and patient-centered care, and the findings may provide insights into the identification of patients that are likely to benefit from stroke rehabilitation.

EFFECTS OF COMPELLED BODY WEIGHT SHIFT TECHNIQUE BY USING INSOLE FOR REHABILITATION OF INDIVIDUALS WITH CHRONIC

Background: Stroke is one of the leading causes of long-term disability worldwide. The stroke survivors usually become complicated with sensor and motor problems which lead to compromised walking ability and functional limitation, after stroke occurrence the recovery of walking ability is considered one of the vital outcomes of stroke rehabilitation. Objective: To determine the effects of Compelled Body Weight Shift (CBWS) technique by using insole in the individuals with chronic stroke. Materials and methods: A randomized control trial (NCT04479774) was conducted from March 2020 to August 2020. The data was collected through non probability convenient sampling technique. The duration of the study was 6 months after the approval from Rehman medical Institute and Northwest General Hospital. A total n=27 were divided into control n=14 which received conventional physical therapy (CPT) and experimental group n=13 additionally received compelled body weight shift (CBWS) technique using insole shoe lift of 0.6 cm thickness. The tinetti (POMA) for balance and gait, 10 Meter walk test for gait parameters and analogue weight scale for weight distribution on both limbs were assessed at the baseline and after 6th week of intervention. Results: The mean age and BMI of the study participants was 49.84±6.18 years and 34±5.13 kg/m2 respectively. Between the groups analyses showed that all the domains showed no significant difference, but step length showed significant difference (p&lt;0.001) after 6th week. The stride length showed significant difference after 3rd week and 6th week (p&lt;0.01). while the cadence showed significant difference after 3rd week only (p=0.02) and no significant difference was observed after the 6th week of the treatment. Conclusions: There was slight improvement in cadence, stride length and step length after the treatment. Furthermore, it is evident that CBWS is effective for improving gait parameters. Keywords: Balance, gait training, physical therapy, stroke, stroke rehabilitation.

Effects of virtual reality-based telerehabilitation for stroke patients: A systematic review and meta-analysis of randomized controlled trials

BackgroundTelerehabilitation provides an essential opportunity to deliver continuous rehabilitation services for stroke patients at home, especially amid a global pandemic. Virtual reality is a simulation technology that has shown promising outcomes in stroke rehabilitation. Combining telerehabilitation and virtual reality is an emerging and innovative approach that enriches the rehabilitation experience and potentially enhances functional recovery outcomes. This review synthesized current evidence of using virtual reality-based telerehabilitation for patients after stroke and compared it with conventional in-person rehabilitation. MethodsRandomized controlled trials were searched across six databases published after 2000. Two independent reviewers conducted study selection, data extraction and quality assessment. The Physiotherapy Evidence Databases scale was used to evaluate the methodological quality. Qualitative synthesis and meta-analysis were conducted to compare functional outcomes after Virtual reality-based telerehabilitation with conventional in-person rehabilitation. ResultsNine studies including 260 participants were selected from 933 relevant records. Seven studies met the criteria for good quality based on the Physiotherapy Evidence Databases scale, two studies were fair quality. Compared with conventional in-person rehabilitation, the meta-analysis indicated that virtual reality-based telerehabilitation had comparable outcomes of upper extremity function and balance function. Both groups demonstrated similar effects on outcomes in mobility, cognition, activities of daily life, and quality of life. ConclusionsVirtual reality-based telerehabilitation is an effective alternative approach for patients with stroke, given the barriers and restrictions of traditional in-person rehabilitation.

Machine Learning Techniques for the Prediction of Functional Outcomes in the Rehabilitation of Post-Stroke Patients: A Scoping Review

Stroke is one of the main causes of long-term disabilities, increasing the cost of national healthcare systems due to the elevated costs of rigorous treatment that is required, as well as personal cost because of the decreased ability of the patient to work. Traditional rehabilitation strategies rely heavily on individual clinical data and the caregiver’s experience to evaluate the patient and not in data extracted from population data. The use of machine learning (ML) algorithms can offer evaluation tools that will lead to new personalized interventions. The aim of this scoping review is to introduce the reader to key directions of ML techniques for the prediction of functional outcomes in stroke rehabilitation and identify future scientific research directions. The search of the relevant literature was performed using PubMed and Semantic Scholar online databases. Full-text articles were included if they focused on ML in predicting the functional outcome of stroke rehabilitation. A total of 26 out of the 265 articles met our inclusion criteria. The selected studies included ML approaches and were directly related to the inclusion criteria. ML can play a key role in supporting decision making during pre- and post-treatment interventions for post-stroke survivors, by utilizing multidisciplinary data sources.