Association between personal and environmental factors and the occurrence of handicap situations following a stroke
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
BACKGROUND AND PURPOSE: Little is known about the potential role of environmental factors in the handicap creation process following a stroke. The objective of this study was to explore the presence of a relationship between environmental factors and the occurrence of handicap following a stroke, taking into consideration age and the level of impairments and disabilities. METHODS: This is a cross-sectional study where data were collected 6 months after discharge from an intensive functional rehabilitation unit. A convenience sample of 51 participants was recruited at the time of their admission to the rehabilitation unit for rehabilitation post-stroke. Perceived influence of environmental factors was measured using the Measure of the Quality of the Environment (MQE). Handicap situations were measured with the Assessment of Life Habits (LIFE-H). Impairments and disabilities comprised six domains (cognition, perception. depression, communication, sensorimotor function and comorbidity) assessed using a variety of measuring tools from which a composite score was derived. RESULTS: Fifty-one participants aged 40-97 years old took part in this study. Perceived obstacles in the environment, together with age and the level of impairments and disabilities, explained 58.9% of the variation in the LIFE-H (handicap level). Taken alone, the perceived obstacles (total score) explained 6.2%. The perceived facilitators (total score) in the environment were not found to be related to the presence of handicap situations. CONCLUSION: Increased level of impairments and disabilities. advanced age and perceived barriers in the physical and social environment contribute to the handicap creation process following a 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 | 0.001 | 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 | 0.001 |
| 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