Actual vs best practice for families post-stroke according to three rehabilitation disciplines
Bibliographic record
Abstract
OBJECTIVE: To investigate occupational therapists', physiotherapists' and speech language pathologists' family-related rehabilitation practice post-stroke and its association with clinician and environmental variables. METHODS: A Canadian cross-sectional telephone survey was conducted on 1755 clinicians. Three case studies describing typical patients after stroke receiving acute care, in-patient rehabilitation, or community rehabilitation, and including specific descriptors regarding family stress and concern, were used to elicit information on patient management. RESULTS: One-third of the sample identified a family-related problem and offered a related intervention, but only 12/1755 clinicians indicated that they would typically use a standardized assessment of family functioning. Working in the community out-patient setting was associated (OR 9.16), whereas working in a rehabilitation in-patient setting was negatively associated (OR 0.58) with being a problem identifier, the reference group being acute care. Being a PT (OR 0.53) or an SLP (OR 0.49) vs an OT was negatively associated with being a problem identifier, whereas being older (OR 1.02 ) or working in Ontario (OR 1.58) was associated with being a problem identifier. To work in a community out-patient setting (OR 2.43), being older clinicians (OR 1.02) or not perceiving their work environment being supportive of an on-going professional learning (OR 1.72) was associated with being an intervention user,whereas being a PT (OR 0.50) was negatively associated with being a user. CONCLUSION: For these 3 disciplines, the prevalence of a family-related focus is low post-stroke. Given the increasing evidence regarding the effectiveness of family-related interventions on stroke outcomes, it is imperative that best practice is implemented.
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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 | 0.001 | 0.010 |
| 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 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".