Occupational Therapy Interventions for Poststroke Fatigue: A Scoping Review
Bibliographic record
Abstract
INTRODUCTION: Fatigue after stroke can negatively affect the survivors' well-being. Despite the high prevalence and consequences of poststroke fatigue (PSF), there is no specific guidance for occupational therapy practitioners (OTPs) to address this symptom. OBJECTIVES: The objectives of the study were to identify and describe the research on potential occupational therapy (OT) interventions for PSF. METHOD: Three databases were searched using scoping review methodology. Two authors completed a title and abstract and full-text review. Study characteristics, participant characteristics, qualities of interventions, and outcome measures were extracted and synthesized. RESULTS: Eight studies met selection criteria. Studies were conducted with stroke and traumatic brain injury patients in outpatient, inpatient, and community settings. Interventions included psychoeducation and behavior change, multicomponent programs, and mindfulness-based stress reduction therapies. The Fatigue Severity Scale and the Mental Fatigue Scale were commonly used. CONCLUSION: Evidence for OT interventions targeting PSF is limited. Recommendations for future research are provided.
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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 | 0.007 | 0.026 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.004 |
| Bibliometrics | 0.011 | 0.011 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 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".