The effect of interventions on balance self-efficacy in the stroke population: a systematic review and meta-analysis
Bibliographic record
Abstract
OBJECTIVE: To conduct a systematic review of clinical trials that examined the effectiveness of interventions on balance self-efficacy among individuals with stroke. DESIGN: Systematic review. SUMMARY OF REVIEW: Searches of the following databases were completed in December 2014: MEDLINE (1948-present), CINAHL (1982-present), EMBASE (1980-present) and PsycINFO (1987-present) for controlled clinical trials that measured balance self-efficacy in adults with stroke. Reference lists of selected articles were hand-searched to identify further relevant studies. REVIEW METHODS: Two independent reviewers performed data extraction and assessed the methodological quality of the studies using the Physical Therapy Evidence Database Scale. Standardized mean differences (SMD) were calculated. RESULTS: A total of 19 trials involving 729 participants used balance self-efficacy as a secondary outcome. Study quality ranged from poor (n = 3) to good (n = 8). In the meta-analysis of 15 trials that used intensive physical activity interventions, a moderate beneficial effect on balance self-efficacy was observed immediately following the programs (SMD 0.44, 95% CI 0.11-0.77, P = 0.009). In the studies that included follow-up assessments, there was no difference between groups across retention periods (eight studies, SMD 0.32, 95% CI -0.17-0.80, P = 0.20). In the four studies that used motor imagery interventions, there was no between-group difference in change in balance self-efficacy (fixed effects SMD 0.68, 95% CI -0.33-1.69, P = 0.18). CONCLUSIONS: Physical activity interventions appear to be effective in improving balance self-efficacy 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 | 0.036 | 0.021 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.006 | 0.005 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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; both teacher heads agree on what is shown here.
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".