Six hours of task-oriented training optimizes walking competency post stroke: a randomized controlled trial in the public health-care system of South Africa
Bibliographic record
Abstract
OBJECTIVE: To evaluate a minimal dose intervention of six 1-hour sessions of task-oriented circuit gait training including a caregiver over a 12-week period to persons post stroke in the South African public health sector. DESIGN: Stratified, single blinded, randomized controlled trial with three intervention groups. PARTICIPANTS: Persons post stroke ( n = 144, mean age 50 years, 72 women), mean 9.5 weeks post stroke. INTERVENTIONS: Task group ( n = 51)-accompanied by a caregiver; task-oriented circuit gait training (to improve strength, balance, and task performance while standing and walking). Strength group ( n = 45); strength training of lower extremities while sitting and lying. Control group ( n = 48); one 90-minute educational session on stroke management. MEASURES: The six-minute walk test (6MinWT) was the primary outcome; the secondary outcomes included comfortable and fast gait speeds, Berg Balance Scale (BBS), and Timed Up and Go (TUG). Particpants evaluated at baseline, post intervention (12 weeks), and at follow-up 12 weeks later. Change scores were compared using generalized repeated measures analysis of variance (ANOVA). RESULTS: Task group change scores for all outcomes post intervention and at follow-up were improved compared to the other groups ( P-values between 0.000005 and 0.04). The change scores (mean, 1SD) between baseline and follow-up for the Task, Strength, and Control groups, respectively, were as follows: 6MinWT:119.52 m (81.92), 81.05 m (79.53), and 60.99 m (68.38); comfortable speed 0.35 m/s (0.23), 0.24 m/s (0.22), and 0.19 m/s (0.21); BBS: 9.94 (7.72), 6.93 (6.01), and 5.19 (4.80); and TUG: -14.24 seconds (16.86), -6.49 seconds (9.88), and -5.65 seconds (8.10). CONCLUSION: Results support the efficacy of a minimal dose task-oriented circuit training program with caregiver help to enhance locomotor recovery and walking competency in these persons with stroke.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.009 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".