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Backgrounds: In clinical practice, many patients cannot undergo inpatient rehabilitation in hospitals for extended periods due to personal financial constraints, as well as China's health insurance policy. They are often forced to terminate their rehabilitation training during the prime recovery phase. This makes tele-rehabilitation-based, home-based rehabilitation particularly important.
Purpose: This retrospective cohort study aimed to compare the efficacy of tele-rehabilitation-based task-oriented training (TOT) versus face-to-face task-oriented training and conventional tele-neurofacilitation techniques.
Methods: Patients who met the criteria were assigned to either the telerehabilitation group, the FTF group, or the Tele-Control group while receiving standardized rehabilitation treatment and education. Moreover, the Tele-Rehab group underwent tele-rehabilitation-based task-oriented training, the FTF group underwent face-to-face task-oriented training, and the Tele-Control Group underwent tele-rehabilitation-based conventional neurofacilitation techniques. The main evaluation indices were the Fugl-Meyer Assessment Upper Extremity Scale (FMA-UE), Wolf Motor Function Test (WMFT), and Action Research Arm Test (ARAT). Secondary outcome indicators were Instrumental Activities of Daily Living (IADL). All patients underwent 3 weeks of treatment.
Results: In total, 79 participants completed the trial: Tele-rehab group ( = 23), FTF group ( = 28), and Tele-Control group ( = 28). Improvements in FMA-UE, WMFT, ARAT, and IADL were found in all three groups (<0.05). The mean change in FMA-UE was 9.4 in the Tele-rehab group, 6.4 in the FTF group, and 6.7 in the Tele-control group. The mean difference between the Tele-Rehab and FTF groups was 3.0, and the mean difference between the Tele-Rehab and Tele-Control groups was 2.7, with the upper limit of the 95% confidence interval not exceeding the margin of non-inferiority. Non-inferiority was demonstrated, as the 95% CI did not cross the margin in FMA-UE difference scores before and after the intervention in the Tele-rehab group compared with the FTF group ( > 0.05), nor in the FTF group compared with the Tele-Control group before and after the intervention ( > 0.05). The 95% CI for FMA-UE improvement between Tele-rehab TOT and face-to-face TOT was [-0.81, 7.39], not exceeding the non-inferiority margin of 12.4.
Conclusion: Task-oriented training and remote traditional neurofacilitation techniques for tele-rehabilitation of stroke patients can enhance upper limb motor function and improve quality of daily life with comparable efficacy to face-to-face task-oriented training. Therefore, telerehabilitation is a method that is not inferior to conventional rehabilitation and deserves to be used and promoted in homebound patients.
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http://dx.doi.org/10.3389/fneur.2025.1611565 | DOI Listing |
Front Neurol
August 2025
Department of Rehabilitation Medicine, Shaoguan First People's Hospital, Shaoguan, China.
Backgrounds: In clinical practice, many patients cannot undergo inpatient rehabilitation in hospitals for extended periods due to personal financial constraints, as well as China's health insurance policy. They are often forced to terminate their rehabilitation training during the prime recovery phase. This makes tele-rehabilitation-based, home-based rehabilitation particularly important.
View Article and Find Full Text PDFBMC Health Serv Res
August 2025
Department of Public Health Science, Graduate School of Public Health, Seoul National University, Gwanak-ro, Gwanak-gu, Seoul, Republic of Korea.
Background: Patient-centered care (PCC) has become a global standard for improving communication and health outcomes. However, in time-pressured clinical settings, especially in high-volume outpatient systems such as South Korea’s, the implementation of PCC remains challenging. While consultation time is often cited as a key barrier, few studies have examined how actual communication patterns relate to consultation duration using observational methods.
View Article and Find Full Text PDFCan Geriatr J
September 2025
Sunnybrook Health Sciences Centre, Department of Geriatric Medicine, Toronto, ON.
Background: Competency-based medical education (CBME) aims to enhance the quality of medical training by providing timely, actionable feedback through entrustable professional activities (EPAs). However, variability in feedback quality remains a concern across residency programs.
Methods: We conducted a retrospective analysis of EPA feedback forms from a geriatric medicine program, comparing two distinct time periods: 2019-2020 and 2021-2022.
Entropy (Basel)
July 2025
Department of Electrical and Computer Engineering, The Ohio State University, Columbus, OH 43210, USA.
This paper investigates point-to-point multimodal digital semantic communications in a task-oriented setup, where messages are classified at the receiver. We employ a pre-trained transformer model to extract semantic information and propose three methods for generating semantic codewords. First, we propose semantic quantization that uses quantized embeddings of source realizations as a codebook.
View Article and Find Full Text PDFEntropy (Basel)
July 2025
Guangxi Key Laboratory of Brain-Inspired Computing and Intelligent Chips, School of Electronic and Information Engineering, Guangxi Normal University, Guilin 541004, China.
This paper studies deep reinforcement learning (DRL)-based joint resource allocation and three-dimensional (3D) trajectory optimization for unmanned aerial vehicle (UAV)-ground access point (GAP) cooperative non-orthogonal multiple access (NOMA) communication in Industrial Internet of Things (IIoT) systems. Cooperative and non-cooperative users adopt different signal transmission strategies to meet diverse, task-oriented, quality-of-service requirements. Specifically, the DRL framework based on the Soft Actor-Critic algorithm is proposed to jointly optimize user scheduling, power allocation, and UAV trajectory in continuous action spaces.
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