Recovery after ischemic stroke: Effects of FuekFone home-based program on upper limb and cognitive function

Objectives

This study aimed to explore the effects of the "FuekFone (F.F.) home-based program" on the upper limb and cognitive function of ischemic stroke patients after discharge.

Methods

A single group pre-and post-test design was conducted. A total of 40 patients with recovery after ischemic stroke were recruited from two university hospitals in Thailand. The study was conducted between June 2022 and January 2023. Participants underwent a six-week "F.F. home-based program," which combined an upper limb and cognitive function rehabilitation device with Android games, including stationary barrel, adventure walk, adventure stroll, sliding barrel, sauce squeeze, and cut objects. Each game has different difficulty levels. Patients can perform corresponding exercises through the games according to their conditions under the guidance of medical staff. The patients played for 24 min per time, 4 min each game, three days a week. The second week, let the patients play games for 30 min per time, 5 min each game, 3 days a week. Then, in the 3-6 weeks, let the patients play games for 1 h per time, 10 min each game, 5 days a week. At the pre-and post-intervention, the Thai version of the National Institutes of Health Stroke Scale (NIHSS), the Motor Assessment Scale, and the Montreal Cognitive Assessment (MoCA score) were administered to patients at discharge and at 2, 4, and 6 weeksafter discharge, and the results were compared.

Results

All participants completed this program. Participants had statistically improved upper limb function (upper arm function score, hand movements score, advanced hand activities score, total Motor Assessment Scale score) and MoCA score at 2, 4, and 6 weeks after discharge (P < 0.001). In the comparison of upper limb function and cognitive function at each of the study times, we found statistically improved upper limb function (upper arm function score, hand movements score, advanced hand activities score, total Motor Assessment Scale score) and MoCA score at 4, and 6 weeks after discharge when compared to after discharge and 2 weeks after discharge, respectively (P < 0.05).

Conclusions

Continuing care of patients post-stroke after discharge from hospital, such as F.F. home-based program should be applied at home to enhance upper limb and cognitive function.

Home Care Practices that Improve Performance of Activities of Daily Living of Patients Post-stroke:A Systematic Review

Evidence is inconsistent on the effectiveness of home rehabilitation for patients post-stroke. This review aims to explore home care practices that improve the performance of activities of daily living of patients post-stroke. Adhering to the Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA), clinical trials and mixed-methods studies published from 2012 to 2022 were gathered from PubMed, ScienceDirect, EBSCO, and ProQuest in December 2022. The Mixed Method Appraisal Tool (MMAT) was used for quality appraisal. Narrative synthesis approach was utilized to present the findings. A total of 758 articles were screened, and 10 were included in the final analysis. Five out of ten programs were found superior compared with usual care. Factors that influence the effectiveness of the programs include the age of the participants, severity of disabilities, family participation, and presence of a multidisciplinary team. A multidisciplinary healthcare team approach toward the enhancement of knowledge, skills, and behaviors of patients and their families is common in effective home care. The role of nurses is emphasized not only as providers of direct patient care but also as coordinators of the healthcare team and patients and their families. This study provides insights for policymakers in developing healthcare system for post-stroke care. J. Med. Invest. 71 : 197-204, August, 2024.

Effectiveness of a family-based program for post-stroke patients and families: A cluster randomized controlled trial

Objective

To examine the effectiveness of a family-based program for post-stroke patients and their families.

Methods

A cluster randomized controlled trial design was used. Participants were randomly selected in the experimental group (3 districts) and the comparison group (3 districts), with 62 families recruited. Sixty-two persons with new stroke and families (family caregivers and family members) who met the inclusion criteria were assigned to two groups, 31 in each group. Using the Neuman System Model as a framework, we implemented the stressors assessment and family-based intervention into the program. Participants in the comparison group received usual care, and those in the experimental group underwent a stressors assessment and received the family-based program. Measurement of functional status, depression, and complications in post-stroke patients and family function in family caregivers and family members, as well as caregiver burden and caregiver stress in family caregivers, were assessed at baseline, 4 weeks, and 12 weeks after enrollment. Data analysis included descriptive statistics, the chi-square test, Bonferroni test, and repeated measures analysis of variance.

Results

After participating in a 12-week family-based program, post-stroke patients in the experimental group showed statistically significant improvements in their functional status and decreased depression compared to the comparison group (P < 0.05). The family function of the experimental group was significantly improved, and caregivers' burden and stress were decreased compared to the comparison group (P < 0.05). Three patients in the experimental group and seven in the comparison group experienced complications.

Conclusions

The study findings suggest that the present family-based program improved family function in family caregivers and family members and decreased caregiver burden and stress in family caregivers. The program also improved functional status and reduced depression in post-stroke patients. It is suggested the duration of the program be extended to assess its sustainable effectiveness.

Clinical Study of a Wearable Remote Rehabilitation Training System for Patients With Stroke: Randomized Controlled Pilot Trial

BACKGROUND

In contrast to the large and increasing number of patients with stroke, clinical rehabilitation resources cannot meet their rehabilitation needs. Especially for those discharged, ways to carry out effective rehabilitation training without the supervision of physicians and receive guidance from physicians remain urgent problems to be solved in clinical rehabilitation and have become a research hot spot at home and abroad. At present, there are many studies on home rehabilitation training based on wearable devices, Kinect, among others, but these have disadvantages (eg, complex systems, high price, and unsatisfactory rehabilitation effects).

OBJECTIVE

This study aims to design a remote intelligent rehabilitation training system based on wearable devices and human-computer interaction training tasks, and to evaluate the effectiveness and safety of the remote rehabilitation training system for nonphysician-supervised motor rehabilitation training of patients with stroke through a clinical trial study.

METHODS

A total of 120 inpatients with stroke having limb motor dysfunction were enrolled via a randomized, parallel-controlled method in the rehabilitation institutions, and a 3-week clinical trial was conducted in the rehabilitation hall with 60 patients in the experimental group and 60 in the control group. The patients in the experimental group used the remote rehabilitation training system for rehabilitation training and routine clinical physical therapy (PT) training and received routine drug treatment every day. The patients in the control group received routine clinical occupational therapy (OT) training and routine clinical PT training and routine drug treatment every day. At the beginning of the training (baseline) and after 3 weeks, the Fugl-Meyer Motor Function Rating scale was scored by rehabilitation physicians, and the results were compared and analyzed.

RESULTS

Statistics were performed using SAS software (version 9.4). The total mean Fugl-Meyer score improved by 11.98 (SD 8.46; 95% CI 9.69-14.27) in the control group and 17.56 (SD 11.65; 95% CI 14.37-20.74) in the experimental group, and the difference between the 2 groups was statistically significant (P=.005). Among them, the mean Fugl-Meyer upper extremity score improved by 7.45 (SD 7.24; 95% CI 5.50-9.41) in the control group and 11.28 (SD 8.59; 95% CI 8.93-13.62) in the experimental group, and the difference between the 2 groups was statistically significant (P=.01). The mean Fugl-Meyer lower extremity score improved by 4.53 (SD 4.42; 95% CI 3.33-5.72) in the control group and 6.28 (SD 5.28; 95% CI 4.84-7.72) in the experimental group, and there was no significant difference between the 2 groups (P=.06). The test results showed that the experimental group was better than the control group, and that the patients' motor ability was improved.

CONCLUSIONS

The remote rehabilitation training system designed based on wearable devices and human-computer interaction training tasks can replace routine clinical OT training. In the future, through medical device registration certification, the system will be used without the participation of physicians or therapists, such as in rehabilitation training halls, and in remote environments, such as communities and homes.

TRIAL REGISTRATION

Chinese Clinical Trial Registry ChiCTR2200061310; https://tinyurl.com/34ka2725.

Development and Clinical Evaluation of a Web-Based Upper Limb Home Rehabilitation System Using a Smartwatch and Machine Learning Model for Chronic Stroke Survivors: Prospective Comparative Study

Background

Recent advancements in wearable sensor technology have shown the feasibility of remote physical therapy at home. In particular, the current COVID-19 pandemic has revealed the need and opportunity of internet-based wearable technology in future health care systems. Previous research has shown the feasibility of human activity recognition technologies for monitoring rehabilitation activities in home environments; however, few comprehensive studies ranging from development to clinical evaluation exist.

Objective

This study aimed to (1) develop a home-based rehabilitation (HBR) system that can recognize and record the type and frequency of rehabilitation exercises conducted by the user using a smartwatch and smartphone app equipped with a machine learning (ML) algorithm and (2) evaluate the efficacy of the home-based rehabilitation system through a prospective comparative study with chronic stroke survivors.

Methods

The HBR system involves an off-the-shelf smartwatch, a smartphone, and custom-developed apps. A convolutional neural network was used to train the ML algorithm for detecting home exercises. To determine the most accurate way for detecting the type of home exercise, we compared accuracy results with the data sets of personal or total data and accelerometer, gyroscope, or accelerometer combined with gyroscope data. From March 2018 to February 2019, we conducted a clinical study with two groups of stroke survivors. In total, 17 and 6 participants were enrolled for statistical analysis in the HBR group and control group, respectively. To measure clinical outcomes, we performed the Wolf Motor Function Test (WMFT), Fugl-Meyer Assessment of Upper Extremity, grip power test, Beck Depression Inventory, and range of motion (ROM) assessment of the shoulder joint at 0, 6, and 12 months, and at a follow-up assessment 6 weeks after retrieving the HBR system.

Results

The ML model created with personal data involving accelerometer combined with gyroscope data (5590/5601, 99.80%) was the most accurate compared with accelerometer (5496/5601, 98.13%) or gyroscope data (5381/5601, 96.07%). In the comparative study, the drop-out rates in the control and HBR groups were 40% (4/10) and 22% (5/22) at 12 weeks and 100% (10/10) and 45% (10/22) at 18 weeks, respectively. The HBR group (n=17) showed a significant improvement in the mean WMFT score (P=.02) and ROM of flexion (P=.004) and internal rotation (P=.001). The control group (n=6) showed a significant change only in shoulder internal rotation (P=.03).

Conclusions

This study found that a home care system using a commercial smartwatch and ML model can facilitate participation in home training and improve the functional score of the WMFT and shoulder ROM of flexion and internal rotation in the treatment of patients with chronic stroke. This strategy can possibly be a cost-effective tool for the home care treatment of stroke survivors in the future.

Trial Registration

Clinical Research Information Service KCT0004818; https://tinyurl.com/y92w978t

A structural equation model of falls at home in individuals with chronic stroke, based on the international classification of function, disability, and health

PURPOSE

To use structural equation model (SEM) to explain falls at home in individuals with chronic stroke, based on the International Classification of Functioning, Disability and Health (ICF).

MATERIALS AND METHODS

A cross sectional observation study was conducted in home-dwelling individuals with chronic stroke (N = 236; 148 non-fallers, 88 fallers). Participants were assessed; structural impairments using Modified Ashworth Scale, Fugl-Meyer Assessment upper (FMA-UE), lower (FMA-LE), and sensory function, ankle plantarflexor strength; activity limitations using Timed Up and Go Test, Step Test, Berg Balance Scale, Barthel Index (BI); participation restrictions using Stroke Impact Scale-participation (SIS-P); and contextual factors using home hazard environments, home safety surroundings, risk behaviors, and Fall-related Self Efficacy. The measurement model was analyzed by confirmatory factor analysis. The SEM was conducted to analyze a structural model of falls at home.

RESULTS

FMA-UE was significantly (p<0.01) associated with FMA-LE, combining as one variable in the structural impairments. In the measurement model, variables were fit to their domains, except variables of contextual factors, but the ICF domains did not correspond to disability. A structural model of falls at home demonstrated a significant (p<0.01) direct path of contextual factors and activity limitations with falls at home. The structural impairments showed a significant (p<0.01) direct path with activity limitations. All variables, except BI, SIS-P and risk behaviors, related to their domains in the structural model.

CONCLUSIONS

A structural model of falls at home proposes contextual factors being the strongest association with falls at home that home hazard environments seem the most influence in its domain. The activity limitations presented by balance ability are directed to falls at home. The structural impairments are associated with falls at home through activity limitations. Home assessment to decrease home hazard environments is suggested to prevent falls at home for individuals with chronic stroke.

Predictors of Community Participation Among Individuals With First Stroke: A Thailand Study

Objective

To describe perceived participation among persons with first stroke and to identify the predictors based on the International Classification of Functioning, Disability and Health (ICF) concept of participation after stroke.

Methods

A total of 121 participants completed 4 questionnaires: the Impact on Participation and Autonomy (IPA), Personal Resource Questionnaire (PRQ2000), Hospital Anxiety and Depression Scale (HADS), and personal history. They were evaluated for their balance, motor function, functional and walking ability.

Results

The majority of participants perceived participation restriction in family role as poor to very poor. The best predictors of participation included social support, walking and balance, functional ability, number of secondary health problems and affected side, account for 66.6% of the variances in participation.

Conclusion

The study highlights the importance of social support, walking and balance performance, functional ability in daily living, and number of secondary health problems after stroke. These factors that facilitate participation after stroke should be addressed by health personnel during rehabilitation.