Assessment of Upper Extremity Function in People With Stroke Based on the Framework of the ICF: A Narrative Review

A systematic review of upper extremity outcome measures assessed in randomized controlled trials of post stroke upper extremity rehabilitation over time

BACKGROUND

The heterogeneity in outcome measures of post stroke rehabilitation trials suggests the need for consensus approach in stroke recovery measurement. To reach this aim, it is important to understand the past and current use of outcome measures in randomized control trials (RCTs) of stroke rehabilitation.

OBJECTIVE

To systematically review RCTs of post stroke UE rehabilitation interventions to understand the use of UE outcome measures in research and their changes over time.

METHODS

CINAHL, Embase, PubMed, Scopus and Web of Science were searched from 1960 to 1 April 2021. Studies were eligible for inclusion if they (1) were RCTs or crossovers published in English (2) ≥50% of participants were affected by stroke, 3) included adults ≥ 18 years old, and (4) applied an intervention to the hemiparetic UE as the primary objective of the study.

RESULTS

1,276 RCTs met inclusion criteria, and 112 different outcome measures were identified. Outcome measures were classified according to the International Classification of Functioning, Disability and Health (ICF) framework. Outcome measures most frequently assessed body function and structure (n = 1,692), followed by activities (n = 1,572) and participation (n = 162). The most used outcome measures were the Fugl-Meyer Assessment (n = 619), the modified Ashworth Scale (n = 255), Action Research Arm Test (n = 211), Wolf Motor Function Test (n = 184), and Box and Block Test (n = 178).

CONCLUSIONS

Understanding the breadth of outcome measures that have been used over time emphasizes the need for proposed standardization of outcome measures but also the need to adjust and expand consensus recommendations based on past and ongoing research trends.

Korean Version of the Confidence of Arm and Hand Movement Scale and Its Psychometric Properties

Objective

To investigate the impact of self-efficacy in using one's upper limbs on the overall wellbeing of stroke patients, we developed the Korean version of the Confidence of Arm and Hand Movement (K-CAHM) scale by modifying the original CAHM to suit Korean cultural conditions.

METHODS

This study was conducted from May 2022 to June 2023 at a rehabilitation hospital with 54 stroke patients. Participants with sufficient cognitive and verbal abilities were included, while those with severe comorbidities were excluded. For the translation and cultural adaptation of CAHM into Korean, permission was obtained from the original author. Two translators independently translated the questionnaire, followed by a consensus discussion and expert review to create K-CAHM version 1.0. After back-translation and further review, the final Korean version was completed. Reliability and validity were assessed using Cronbach's alpha, intraclass correlation coefficient (ICC), exploratory factor analysis, Bland-Altman analysis, and Pearson correlation.

RESULTS

The K-CAHM showed good reliability (Cronbach's alpha=0.97; ICC=0.895). Bland-Altman plot analysis showed good agreement, indicating test-retest reliability. Moreover, K-CAHM showed good concurrent validity, demonstrated by its correlation with three domains of the International Classification of Functioning, Disability and Health: Fugl-Meyer assessment, the Jebsen-Taylor Hand Function Test, personal hygiene and bathing in the modified Barthel Index, and hand and stroke recovery domain in the Stroke Impact Scale.

Conclusion

The newly developed K-CAHM could complement other outcome measures, facilitating patient-centered rehabilitation in the Korean context.

Comparative Scoping Review: Robot-Assisted Upper Limb Stroke Rehabilitation in Low- and Middle-Income Countries Versus High-Income Nations

OBJECTIVE

To examine robotic interventions for upper limb rehabilitation poststroke, focusing on geographic distribution, stroke chronicity, outcome measures, outcomes of robotic interventions, and publication trends in low- and middle-income countries (LMICs) compared with high-income countries (HICs).

DATA SOURCES

Using Joanna Briggs Institute methodology and Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews guidelines, PubMed, CENTRAL, Embase, CINAHL, and PEDro databases were searched for studies on upper extremity rehabilitation with robotics poststroke.

STUDY SELECTION

This review focused on randomized controlled trials (RCTs) published between 2012 and 2024 that examined rehabilitation robots for upper limb impairments caused by stroke. The studies included adults aged ≥18 years in the acute, subacute, or chronic recovery phases. Eligible trials involved using robotic devices, independently or combined with other interventions. Only RCTs with 2 or more arms were considered, and all included studies were published in English.

DATA EXTRACTION

Reviewers independently extracted data on study characteristics, stroke chronicity, outcome measures, outcomes of robotic interventions, and temporal trends.

DATA SYNTHESIS

Of 129 articles meeting the criteria, 107 were from HICs, and 22 were from LMICs. Major contributors from HICs included Italy, Taiwan, and the USA, whereas China was a significant contributor among LMICs. Most studies focused on patients with chronic stroke, with varying assessment tools, the most common being the Fugl-Meyer Upper Extremity Evaluation. Positive outcomes were reported across studies, and recent research activity has increased in both settings.

CONCLUSIONS

This review underscores the expanding research on robotic therapy for upper limb rehabilitation in patients with stroke, primarily from HICs with limited input from low- and middle-income nations. Although positive outcomes were frequently observed, disparities between high-income and low-and middle-income countries were clear. The growing research indicates rising interest and advancements in this domain.

Efficacy of brain-computer interface training with motor imagery-contingent feedback in improving upper limb function and neuroplasticity among persons with chronic stroke: a double-blinded, parallel-group, randomized controlled trial

BACKGROUND

Brain-computer interface (BCI) technology can enhance neural plasticity and motor recovery in persons with stroke. However, the effects of BCI training with motor imagery (MI)-contingent feedback versus MI-independent feedback remain unclear. This study aimed to investigate whether the contingent connection between MI-induced brain activity and feedback influences functional and neural plasticity outcomes. We hypothesized that BCI training, with MI-contingent feedback, would result in greater improvements in upper limb function and neural plasticity compared to BCI training, with MI-independent feedback.

METHODS

This randomized controlled trial included persons with chronic stroke who underwent BCI training involving functional electrical stimulation feedback on the affected wrist extensor. Primary outcomes included the Medical Research Council (MRC) scale score for muscle strength in the wrist extensor (MRC-WE) and active range of motion in wrist extension (AROM-WE). Resting-state electroencephalogram recordings were used to assess neural plasticity.

RESULTS

Compared to the MI-independent feedback BCI group, the MI-contingent feedback BCI group showed significantly greater improvements in MRC-WE scores (mean difference = 0.52, 95% CI = 0.03-1.00, p = 0.036) and demonstrated increased AROM-WE at 4 weeks post-intervention (p = 0.019). Enhanced functional connectivity in the affected hemisphere was observed in the MI-contingent feedback BCI group, correlating with MRC-WE and Fugl-Meyer assessment-distal scores. Improvements were also observed in the unaffected hemisphere's functional connectivity.

CONCLUSIONS

BCI training with MI-contingent feedback is more effective than MI-independent feedback in improving AROM-WE, MRC, and neural plasticity in individuals with chronic stroke. BCI technology could be a valuable addition to conventional rehabilitation for stroke survivors, enhancing recovery outcomes.

TRIAL REGISTRATION

CRIS (KCT0009013).

Effectiveness of mixed reality-based rehabilitation on hands and fingers by individual finger-movement tracking in patients with stroke

BACKGROUND

Mixed reality (MR) is helpful in hand training for patients with stroke, allowing them to fully submerge in a virtual space while interacting with real objects. The recognition of individual finger movements is required for MR rehabilitation. This study aimed to assess the effectiveness of updated MR-board 2, adding finger training for patients with stroke.

METHODS

Twenty-one participants with hemiplegic stroke (10 with left hemiplegia and 11 with right hemiplegia; nine female patients; 56.7 ± 14.2 years of age; and onset of stroke 32.7 ± 34.8 months) participated in this study. MR-board 2 comprised a board plate, a depth camera, plastic-shaped objects, a monitor, a palm-worn camera, and seven gamified training programs. All participants performed 20 self-training sessions involving 30-min training using MR-board 2. The outcome measurements for upper extremity function were the Fugl-Meyer assessment (FMA) upper extremity score, repeated number of finger flexion and extension (Repeat-FE), the thumb opposition test (TOT), Box and Block Test score (BBT), Wolf Motor Function Test score (WMFT), and Stroke Impact Scale (SIS). One-way repeated measures analysis of variance and the post hoc test were applied for the measurements. MR-board 2 recorded the fingers' active range of motion (AROM) and Dunnett's test was used for pairwise comparisons.

RESULTS

Except for the FMA-proximal score (p = 0.617) and TOT (p = 0.005), other FMA scores, BBT score, Repeat-FE, WMFT score, and SIS stroke recovery improved significantly (p < 0.001) during MR-board 2 training and were maintained until follow-up. All AROM values of the finger joints changed significantly during training (p < 0.001).

CONCLUSIONS

MR-board 2 self-training, which includes natural interactions between humans and computers using a tangible user interface and real-time tracking of the fingers, improved upper limb function across impairment, activity, and participation. MR-board 2 could be used as a self-training tool for patients with stroke, improving their quality of life.

TRIAL REGISTRATION NUMBER

This study was registered with the Clinical Research Information Service (CRIS: KCT0004167).

Using Capability Maps Tailored to Arm Range of Motion in VR Exergames for Rehabilitation

Many neurological conditions, e.g., a stroke, can cause patients to experience upper limb (UL) motor impairments that hinder their daily activities. For such patients, while rehabilitation therapy is key for regaining autonomy and restoring mobility, its long-term nature entails ongoing time commitment and it is often not sufficiently engaging. Virtual reality (VR) can transform rehabilitation therapy into engaging game-like tasks that can be tailored to patient-specific activities, set goals, and provide rehabilitation assessment. Yet, most VR systems lack built-in methods to track progress over time and alter rehabilitation programs accordingly. We propose using arm kinematic modeling and capability maps to allow a VR system to understand a user's physical capability and limitation. Next, we suggest two use cases for the VR system to utilize the user's capability map for tailoring rehabilitation programs. Finally, for one use case, it is shown that the VR system can emphasize and assess the use of specific UL joints.Clinical relevance-This paper's VR-based system can tailor a rehabilitation tool to a user's capability and limit.

Resistive versus active assisted robotic training for the upper limb after a stroke: A randomized controlled study

BACKGROUND

Selection of a suitable training modality according to the status of upper limb function can maximize the effects of robotic rehabilitation; therefore, it is necessary to identify the optimal training modality.

OBJECTIVES

This study aimed to compare robotic rehabilitation approaches incorporating either resistance training (RET) or active-assisted training (AAT) using the same rehabilitation robot in people with stroke and moderate impairment.

METHODS

In this randomized controlled trial, we randomly allocated 34 people with stroke who had moderate impairment to either the experimental group (RET, n = 18) or the control group (AAT, n = 16). Both groups performed robot-assisted therapy for 30 min, 5 days per week, for 4 weeks. The same rehabilitation robot provided resistance to the RET group and assistance to the AAT group. Body function and structure, activity, and participation outcomes were evaluated before, during, and after the intervention.

RESULTS

RET led to greater improvements than AAT in terms of smoothness (p = 0.006). The Fugl-Meyer Assessment (FMA)-upper extremity (p < 0.001), FMA-proximal (p < 0.001), Action Research Arm Test-gross movement (p = 0.011), and kinematic variables of joint independence (p = 0.017) and displacement (p = 0.011) also improved at the end of intervention more in the RET group.

CONCLUSIONS

Robotic RET was more effective than AAT in improving upper limb function, structure, and activity among participants with stroke who had moderate impairment.

Balance deficit is the domain of the Fugl-Meyer scale that best explain limitations in functional independence during hospitalization after a stroke

PURPOSE

To investigate which of the residual sensorimotor impairments, assessed by the Fugl-Meyer scale, would best explain functional independence during hospitalization after a stroke.

METHODS

This cross-sectional study retrieved data from medical records between January 2014 to December 2021. Explanatory independent variables were the following domains of the Fugl-Meyer scale: joint pain, joint range of motion, balance, sensory function, and motor function of the upper and lower limbs. Functional independence was measured by the Functional Independence Measure (FIM). Step-wise multiple linear regression analysis was used to identify which measures would explain functional independence (α=5%).

RESULTS

Data from 1,344 individuals, who had a mean age of 64 years, were retrieved. All included explanatory variables were significantly correlated with the FIM scores (0.24 ≤ r ≤ 0.87). Balance alone explained 76 % (F=4.24; p<0.001) of the variance in the FIM scores. When sensory function and upper-limb motor function scores were included in the model, the explained variance increased to 82 % (F = 1.935; p < 0.001).

CONCLUSIONS

Balance, which is important for carrying-out self-care activities, is the domain of the Fugl-Meyer scale that best explained functional independence during hospitalization after a stroke. Although sensory function and motor function of the upper limb added little to the explained variance, they should not be underlooked. Future research is needed to determine whether progressive balance training interventions would enhance functional independence after a stroke.

MRI-Based Personalized Transcranial Direct Current Stimulation to Enhance the Upper Limb Function in Patients with Stroke: Study Protocol for a Double-Blind Randomized Controlled Trial

Transcranial direct current stimulation (tDCS) has been shown to have the potential to improve the motor recovery of the affected upper limbs in patients with stroke, and recently, several optimized tDCS methods have been proposed to magnify its effectiveness. This study aims to determine the effectiveness of personalized tDCS using brain MRI-based electrical field simulation and optimization, to enhance motor recovery of the upper limbs in the patients. This trial is a double-blind, randomized controlled trial in the subacute to chronic rehabilitation phase. Forty-two adult stroke patients with unilateral upper limb involvement will be randomly allocated to three groups: (1) personalized tDCS with MRI-based electrical field simulation and optimized stimulation, (2) conventional tDCS with bihemispheric stimulation of the primary motor cortex, and (3) sham tDCS. All three groups will undergo 10 intervention sessions with 30 min of 2-mA intensity stimulation, during a regular upper limb rehabilitation program over two weeks. The primary outcome measure for the motor recovery of the upper limb impairment is the Fugl-Meyer assessment for the upper extremity score at the end of the intervention, and the secondary measures include changes in the motor evoked potentials, the frequency power and coherence of the electroencephalography, performance in activities of daily living, and adverse events with a 1-month follow-up assessment. The primary outcome will be analyzed on the intention-to-treat principle. There is a paucity of studies regarding the effectiveness of personalized and optimized tDCS that considers individual brain lesions and electrical field characteristics in the real world. No feasibility or pivotal studies have been performed in stroke patients using brain MRI, to determine a lesion-specific tDCS simulation and optimization that considers obstacles in the segmentation and analysis of the affected brain tissue, such as ischemic and hemorrhagic lesions. This trial will contribute to addressing the effectiveness and safety of personalized tDCS, using brain MRI-based electrical field simulation and optimization, to enhance the motor recovery of the upper limbs in patients with stroke.