Self-perceived performance and satisfaction with performance of daily activities in persons with multiple sclerosis following interdisciplinary rehabilitation
Bibliographic record
Abstract
PURPOSE: To assess self-perceived performance and satisfaction with performance of daily activities in persons with multiple sclerosis (MS) on admission to and at discharge from interdisciplinary rehabilitation. METHOD: A retrospective study with a pre-post design. Twenty-seven women and 16 men with MS (mean age 51 years; median EDSS 6.5) participated in an individualised, goal-oriented, interdisciplinary, rehabilitation programme (average length 4 weeks). The Canadian Occupational Performance Measure (COPM) was used on admission to rehabilitation and at discharge. RESULTS: On admission, the persons prioritised 216 activities that they perceived difficult to perform (mean number 3, range 2-8). Of these, 136 (63%) were in the COPM area of self-care, 52 (24%) in productivity and 28 (13%) in leisure. The lowest mean ratings of performance were found in the subgroups active recreation, community management and socialisation, and for satisfaction in the subgroup socialisation. For about 60% of the 216 prioritised activities, ratings of COPM performance as well as satisfaction were higher at discharge than on admission. For 18 (42%) and 24 (56%) persons, respectively, the mean change scores of performance and of satisfaction were equal to or greater than 2.0 at discharge, indicating a clinically significant change. CONCLUSIONS: Persons with MS can experience problems with all types of daily activities upon admission to rehabilitation, but also perceive improvements in their performance and satisfaction with performance in these activities at discharge from rehabilitation. Using patient-reported outcome measures, such as the COPM, may contribute to a broader understanding of the benefits of interdisciplinary rehabilitation in persons with MS. Implications for Rehabilitation Persons with MS can perceive problems with all types of daily activities which have to be considered during interdisciplinary rehabilitation. Following interdisciplinary rehabilitation, persons with MS can perceive improvements in their performance and satisfaction with performance in all types of daily activities. Patient-reported outcome measures can contribute to a broader understanding of the benefits of interdisciplinary rehabilitation in persons with MS.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".