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The purpose of this study is to develop and validate a novel video-based postural evaluation tool designed to objectively measure the quality and dynamics of the Sit-to-Stand (STS) motion in stroke patients, specifically allowing physical therapists to monitor patient progress remotely via tele-evaluation. Since stroke survivors often face difficulties attending regular in-clinic assessments, this tool addresses a critical unmet need. The core question this study aims to answer is whether this new video-based measurement can accurately and consistently assess standing ability when compared against established standards. To confirm the tool's trustworthiness, we will first test its reliability by assessing if different experts achieve the same results (Inter-rater reliability) and if the same expert achieves the same results across multiple trials (Intra-rater reliability). We will then confirm the tool's accuracy (validity) by examining if its derived scores correlate strongly with established clinical measures (e.g., Trunk Impairment Scale, TIS) and patient-reported outcome measures. Finally, we will verify its scientific precision by comparing the tool's detailed kinematic measurements (including total STS time and joint angles) against the gold-standard data derived from the Kinovea motion analysis software.
Rationale and Context
- Stroke remains a leading global cause of long-term functional disability. While early functional recovery is rapid, many patients require sustained long-term rehabilitation. Access to adequate rehabilitation is often compromised by geographical and institutional barriers, highlighting a critical unmet need in clinical practice. Tele-rehabilitation, utilizing Information and Communications Technology (ICT) via devices such as smartphones and tablets, is presented as a vital alternative to enhance accessibility and provide continuous, systematic care without the need for physical travel. The success of tele-rehabilitation fundamentally depends on the availability of assessment tools that can objectively and reliably measure functional changes from a distance.
Scientific Focus: Sit-to-Stand (STS) Movement
- The Sit-to-Stand (STS) task is a foundational activity of daily living, demanding complex coordination of lower extremity strength, balance, posture control, and weight shifting. Post-stroke, patients exhibit significant limitations in STS due to asymmetric weight-bearing, decreased strength, and impaired postural control, which increases the risk of falls. Therefore, the assessment of STS must extend beyond simple quantitative measures (e.g., time or repetition counts, such as FTSTS or TUG) to capture the qualitative characteristics (e.g., symmetry, compensatory strategies) essential for guiding therapeutic intervention. This study addresses the current limitation of existing qualitative tools that require direct, in-person observation by developing a tool suitable for non-face-to-face video analysis.
Assessment Tool Development Methodology
Study Procedures for Reliability
Statistical Analysis The consistency of measurements (Reliability) was quantified using the Intraclass Correlation Coefficient (ICC). The interpretation of the ICC values followed standard guidelines (e.g., ICC ≥0.90 is considered 'excellent', 0.75-0.90 is 'good', 0.50-0.75 is 'moderate').
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Stroke patients | No interventions are provided. They will be video recorded during their sit-to-stand trials of three |
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| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Observation | Other | Stroke patients are video recorded during three sit-to-stand trials with 5 minutes rest between the trials. |
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| Measure | Description | Time Frame |
|---|---|---|
| Inter-rater Reliability of the Video-Based Sit-to-Stand (STS) Assessment Tool as Assessed by the Intraclass Correlation Coefficient (ICC 2,1) | The inter-rater reliability assesses the degree of agreement among 28 different physical therapists evaluating the same patient videos. The video-based STS assessment tool consists of 29 items across 5 phases (Phase 0: Preparation, Phase 1: Flexion Momentum, Phase 2: Momentum Transfer, Phase 3: Extension, Phase 4: Stabilization). Each item is scored on a 5-point Likert scale ranging from 1 (poor performance/unable) to 5 (perfect performance). The total score is the sum of all items. Reliability is reported using the Intraclass Correlation Coefficient (ICC) model 2,1. An ICC value ≥ 0.90 indicates excellent reliability, 0.75-0.90 good, 0.50-0.75 moderate, and < 0.50 poor reliability. | At baseline, during a single assessment session following enrollment |
| Intra-rater Reliability of the Video-Based Sit-to-Stand (STS) Assessment Tool as Assessed by the Intraclass Correlation Coefficient (ICC 3,1) | The intra-rater reliability assesses the consistency of the same rater's scoring over time. Ten physical therapists evaluated the same patient video recordings at baseline and again after a specific interval. The assessment tool comprises 29 items scored on a 1 to 5 scale, where higher scores indicate better performance. The consistency between the two time points is calculated using the Intraclass Correlation Coefficient (ICC) model 3,1. | At baseline, during a single assessment session following enrollment |
| Measure | Description | Time Frame |
|---|---|---|
| Criterion Validity: Correlation Between the Video-Based STS Assessment Tool Score and the Trunk Impairment Scale (TIS) Score | To establish criterion validity, the total score obtained from the newly developed video-based STS assessment tool is correlated with the score from the Trunk Impairment Scale (TIS). The TIS is a validated tool measuring static and dynamic sitting balance and trunk coordination. TIS scores range from 0 to 23, with higher scores indicating better trunk performance. A Pearson or Spearman correlation coefficient will be calculated to determine the strength of the relationship. |
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Inclusion Criteria:
Exclusion Criteria:
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The study population consists of stroke patients currently admitted to H Hospital located in Namyangju-si, Gyeonggi-do, South Korea.
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| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Sahmyook University, Science Hall 3 | Seoul | Seoul | 01795 | South Korea |
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| ID | Term |
|---|---|
| D020521 | Stroke |
| ID | Term |
|---|---|
| D002561 | Cerebrovascular Disorders |
| D001927 | Brain Diseases |
| D002493 | Central Nervous System Diseases |
| D009422 | Nervous System Diseases |
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| ID | Term |
|---|---|
| D019370 | Observation |
| ID | Term |
|---|---|
| D008722 | Methods |
| D008919 | Investigative Techniques |
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| At baseline, during a single assessment session following enrollment |
| Criterion Validity: Correlation Between the Video-Based STS Assessment Tool Score and Total Sit-to-Stand Duration | This measure establishes construct validity by analyzing the relationship between the qualitative assessment (video tool score) and the quantitative performance (speed). A correlation coefficient will be calculated between the total score obtained from the video-based assessment tool (range: 29-145, higher scores indicate better movement quality) and the total time (in seconds) required for the patient to complete the Sit-to-Stand task. This tests the hypothesis that better movement quality correlates with more efficient (faster) performance. | At baseline, during a single assessment session following enrollment |
| Construct Validity: Correlation Between Video-Based STS Assessment Tool Scores and Kinematic Parameters (Joint Angles and Angular Velocities) Measured by Kinovea Software | To verify construct validity, the scores from the video-based tool are compared against quantitative motion analysis data obtained using Kinovea software. The specific kinematic parameters analyzed include the range of motion (degrees) and angular velocity (degrees/second) of the hip, knee, and ankle joints during the Sit-to-Stand motion. Correlation coefficients will be calculated to determine how well the video-based tool's qualitative scores reflect the objective kinematic changes measured by the software. | At baseline, during a single assessment session following enrollment |
| D014652 | Vascular Diseases |
| D002318 | Cardiovascular Diseases |