User perspective on receiving adaptive equipment after stroke: A mixed-methods study
Bibliographic record
Abstract
BACKGROUND.: Adaptive equipment (AE) is frequently provided during stroke rehabilitation by occupational therapists. PURPOSE.: This study aimed to identify the AE that people typically use after a stroke and the outcomes achieved as a result, and to explore people's experiences obtaining and using AE, to inform both practice and policy in this field. METHOD.: A mixed-methods study, involving a postal questionnaire and interviews, used descriptive statistics and grounded theory to analyze the quantitative and qualitative data, respectively. FINDINGS.: Questionnaire data ( n = 258) revealed mobility AE was issued most frequently, with increased safety as the primary reported outcome. Interview data ( n = 15) indicated relationships with health professionals and the hospital environment shaped early AE selection and use. Once home, making sense of AE and community participation were more influential. IMPLICATIONS.: Therapeutic relationships and reflection time are critical to maximize AE use after stroke. Policy and related funding for AE need to prioritize community participation.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".