Stroke self-management and the role of self-efficacy
Why this work is in the frame
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Bibliographic record
Abstract
PURPOSE: This study explored the impact of a 12-week stroke self-management program on occupational performance, the role of self-efficacy on improving occupational performance and the potential barriers and facilitators to self-efficacy as reported by clients and careers. MATERIALS AND METHODS: = 40) were recruited to participate in a self-management program after admission to hospital with diagnosis of stroke. A pre-post study was conducted and data were obtained from participants using: the Canadian Occupational Performance Measure, Stroke Self-efficacy Questionnaire, and semi-structured interviews with five participants and two careers. Data analysis was conducted using parametric statistics and thematic analysis. RESULTS: = 0.02). Three key barriers and facilitators emerged from the thematic analysis: "Support in making the transition home," "Getting back to normal," and "Reflecting on shared experiences." CONCLUSIONS: Engagement in a stroke-specific self-management program can improve client-perceived occupational performance and satisfaction. Self-efficacy was shown to be a mediating variable to occupational performance improvements. Future research should explore further the facilitatory strategies of self-efficacy during stroke self-management programs to maximize rehabilitation outcomes.Implications for rehabilitationMulti-modal self-management programs are recommended as effective for improving client-perceived occupational performance of people who have experienced stroke.Returning to valued occupations, goal setting, shared experiences, and local support are recommended components of a self-management program for stroke survivors.Focusing on enhancing client confidence, competence, and self-efficacy is recommended to achieve occupational performance gains through self-management.Occupational therapy coaching is recommended to guide participants through the self-management processes of goal-setting, shared problem-solving, performance evaluation, and reflection.
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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 | 0.002 | 0.000 |
| 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