Return to work after mild-to-moderate stroke: work satisfaction and predictive factors
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
A large proportion of stroke patients are unable to return to work (RTW), although figures vary greatly. A total of 121 mild-to-moderate stroke patients, who had a paid job at the time of their stroke were included (a) to quantify RTW and work satisfaction one-year post-stroke (using the Utrecht Scale for Evaluation of Rehabilitation-Participation) and (b) to determine factors predicting RTW post-stroke, based on stroke-related, personal and neuropsychological variables. Half of the patients were not in work (28%) or were working less (22%) than pre-stroke. Ninety percent of those in fulltime employment post-stroke were satisfied with their occupational situation, against 36% of the unemployed participants. In regards to factors predicting RTW, global cognitive functioning (r = .19, Montreal Cognitive Assessment) and depressive symptoms (r = -.16, Hospital Anxiety and Depression Scale) at two months post-stroke onset were associated with return to work within one year. Only global cognitive functioning was an independent predictor of RTW (11.3% variance, p = .013). Although the explained variance was not that high, neuropsychological factors probably play a pivotal role in returning to work and should be taken into account during rehabilitation after mild and moderate stroke.
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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 | 0.000 | 0.006 |
| 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) | 0.000 | 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 it