Acute Ischemic Stroke
Conditions
Keywords
Virtual reality, acute ischemic stroke, early rehabilitation, upper limb muscle strength, cognitive status, self-efficacy, anxiety
Brief summary
This interventional study evaluates the impact of early virtual rehabilitation, starting 24 hours post-diagnosis of acute ischemic stroke, on upper limb strength, cognitive status, and self-efficacy. The goal is to establish more effective rehabilitation protocols for acute ischemic stroke patients and to boost their motivation to participate in training.
Detailed description
Project Title: Effectiveness of Early Intervention Using a Virtual Reality Motion-Sensing Rehabilitation System on Improving Upper Limb Muscle Strength, Cognitive Status, and Self-Efficacy in Patients with Acute Ischemic Stroke I. Project Description This study is divided into two groups: the experimental group and the control group. The experimental group will utilize a Virtual Reality (VR) motion-sensing rehabilitation APP, while the control group will receive traditional rehabilitation. The study aims to verify the outcomes and evaluate the effectiveness of early rehabilitation intervention using the VR motion-sensing APP in patients with acute ischemic stroke. The planned sample size is 50 participants for the experimental group and 50 participants for the traditional rehabilitation group, totaling 100 participants. The recruitment sites are the Neurology Wards and the Stroke and Neurointensive Care Unit (SNICU) of Tri-Service General Hospital. The total duration of the study, including data analysis, is approximately one year. II. Research Objectives Current research on rehabilitation training for patients after acute ischemic stroke predominantly focuses on the period from the post-acute phase up to six months. The primary objective of this study is to explore the effects of providing early virtual rehabilitation intervention-initiated 24 hours after a confirmed diagnosis of acute ischemic stroke-on the improvement of upper limb muscle strength, cognitive status, and the enhancement of patients' self-efficacy. By investigating these objectives, the study aims to provide a more effective method for early rehabilitation intervention during the acute phase of ischemic stroke and to boost patients' motivation for rehabilitation training.
Interventions
Virtual reality
traditional bedside rehabilitation
Sponsors
Study design
Intervention model description
Participants in the experimental group will receive rehabilitation intervention using the Active Arcade application. They will perform interactive exercises on a tablet to complete combined motor and cognitive training. The control group will receive traditional bedside rehabilitation. Both groups will initiate their respective interventions 24 hours after admission. Pre- and post-test evaluations will be conducted for both groups to assess the effectiveness of the interventions.
Eligibility
Inclusion criteria
* Diagnosis of acute ischemic stroke with ICD-10 codes: G45-G46.8, I63-I68.8. * Within 10 days (inclusive) of stroke symptom onset. * Age 18\~85 years or older.
Exclusion criteria
* Comorbid neuromuscular or orthopedic conditions affecting upper limb function.) * Recurrence of stroke or onset of seizures during the study period. * Severe visual impairment or visuospatial neglect. * Inability to cooperate or refusal to participate in the study.
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| upper limbs function | 7days later | FMA-UE |
| cognitive status | 7days later | SLUME |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| Change in Self-Efficacy for Exercise (SEE) Scale Score | Baseline and 7 days after intervention | Self-efficacy will be assessed using the Self-Efficacy for Exercise (SEE) Scale. The SEE is a 10-item questionnaire that evaluates participants' confidence in their ability to continue exercising under various circumstances. Total scores range from 10 to 40, with higher scores indicating greater exercise self-efficacy. |
Countries
Taiwan
Contacts
Tri-Service General Hospital (TSGH)