Investigating the Occupational Performance Problems in Individuals with Multiple Sclerosis in Relapsing-remitting Phase: A Cross-sectional Study
Bibliographic record
Abstract
Introduction: Multiple sclerosis (MS) is one of the most common disabling neurologic diseases worldwide. Although occupational performance problems are reported in many people living with MS, there is little information on these problems in people with relapsingremitting MS (RRMS). This study aims to determine occupational performance problems in people with RRMS. Materials and Methods: The Canadian occupational performance measure was used to collect data from 58 participants in the age range of 20 to 50 years. The participants were recruited via the convenience sampling method from a neurology outpatient unit in a general hospital in Tehran City, Iran, in 2020. The data were analyzed using the Spearman, ManWhitney, and Kruskal-Wallis tests. Results: A total of 91 activities in self-care, 96 activities in productivity, and 67 activities in leisure were identified by the participants as their priorities. No significant difference was observed between the mean scores of occupational performance with age, gender, employment status, and marital status. Still, there was a considerable difference between occupational performance and education level. Conclusion: People with RRMS suffer from many occupational performance problems, especially in productivity areas. Although occupational therapy interventions are essential in promoting self-care and activities of daily living, engaging in productive and instrumental activities of daily living is more cost-effective and valuable to promote independence in people with RRMS.
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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 | 0.006 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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; a candidate call from one teacher head, 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".