Relationship Between Perceived and Measured Changes in Walking After Stroke
Bibliographic record
Abstract
BACKGROUND AND PURPOSE: Examining participant-perceived change in walking provides insight into whether changes were meaningful for participants. This study examined the relationships between change scores in standardized walking outcomes and ratings of perceived change following exercise poststroke. METHODS: Self- and fast-paced gait speed and Six-Minute Walk Test (6MWT) distance were assessed in 22 participants (age 67 ± 10.3 years, 1.8 ± 0.9 years poststroke) before and after a 3-month exercise program. Perceived changes were evaluated using a 15-point Likert scale. Correlation analyses between measured and perceived changes were performed. Subgroups of low and high baseline scores were compared for differences in measured and perceived changes. RESULTS: Six-Minute Walk Test change was correlated with perceived change (ρ = 0.52, P = 0.01), greater 6MWT change was demonstrated among participants who perceived improvement compared to those who did not (difference 34.4 m, 95% CI: 17.2-51.6, P = 0.04). After controlling for measured change, participants with low baseline 6MWT distances perceived less change than those who walked high distances at baseline (P = 0.006) even when relative change was equivalent. DISCUSSION AND CONCLUSIONS: A global rating scale using meaningful and context-specific questions was used to determine the relationship between measured and participant-perceived changes in 6MWT distance. A meaningful difference in 6MWT change was observed between participants who did and those who did not perceive improvement. Individuals with lower baseline scores may require larger changes in walking distance to perceive that a change has occurred. This study contributes to a growing body of evidence about the relationships between perceived and measured changes in function and is a step in determining thresholds for perceived change in walking after stroke.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".