Patient-Centred and Daily Life-Oriented Botulinum Toxin Treatment for Stroke Survivors with Upper Extremity Spasticity—Effects and Practical Aspects
Bibliographic record
Abstract
Background/Objectives: To investigate the impact of a routine botulinum toxin type A (BoNT-A) injection in combination with outpatient therapy on the daily activities of stroke survivors with upper extremity spasticity and to facilitate patient-centred assessment focusing on individual needs during daily life. Methods: Design: Observational study across one treatment cycle (3 months). Setting: Spasticity outpatient clinic of a neurorehabilitation hospital in Germany. Participants: Adult stroke survivors (n = 27) with upper extremity spasticity receiving routine BoNT-A treatment. Interventions: Participants received one BoNT-A injection and outpatient therapies as part of their routine management. Augmented assessment was conducted directly before the injection (T0), and at 4 to 6 weeks (Tmax1) and 12 to 14 weeks (T2) following the injection. Main outcome measures: The Canadian Occupational Performance Measure (COPM), Goal Attainment Scaling (GAS), and Arm Activity Measure (ArmA). Secondary outcome measures: The Resistance to Passive Movement Scale (REPAS), Motricity Index (MI), SF-12v2 Health Survey (SF-12v2), Global Clinical Impression (GCI), and importance of and satisfaction with the BoNT-A treatment. Results: Performance of individually selected daily activities and satisfaction with their performance (COPM), passive care tasks (ArmA, part A), and resistance to passive movement (REPAS) significantly improved from T0 to Tmax1. Improvements largely remained at T2. Individual goals were all set at the activities and participation levels of the International Classification of Functioning, Disability and Health. These improved for 75% of participants and were fully attained by 33.3% at Tmax1. Responder analysis indicated that COPM and ArmA improvements were clinically significant for up to 50% of participants. Active upper extremity use (ArmA, part B), health-related quality of life (SF-12v2), and upper extremity strength (MI) remained unchanged. Conclusions: Our results indicate that BoNT-A in combination with routine outpatient therapy positively influenced the individually valued daily activities of stroke survivors. COPM, GAS, and ArmA are suitable for facilitating a patient-centred and daily life-oriented spasticity management post-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 | 0.001 | 0.002 |
| 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) | 0.001 | 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 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".