The Clinical Usefulness of the Practice Resource for Driving after Stroke (PReDAS)
Bibliographic record
Abstract
Occupational Therapists (OTs) have identified a critical need for organized, evidence-based resources to approach driving post-stroke. The Practice Resource for Driving After Stroke (PReDAS) is a resource to support the clinical reasoning and practice of health professionals for addressing driving in acute stroke care. The purpose of this pilot study is to evaluate the usefulness of the PReDAS to support clinician and patient decision-making about return to driving after stroke/Transient Ischemic Attack (TIA) in the acute care hospital setting. OTs, physicians, and patients diagnosed with stroke/TIA were surveyed regarding their experience with the PReDAS in acute care. Patient participants were also contacted for a follow-up questionnaire. OT, physician and patient stakeholders reported the PReDAS was useful to support decision-making for driving. The majority of patients recalled information provided in acute care and abstained from driving as advised. This study provides preliminary support for the clinical usefulness of the PReDAS.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.015 | 0.087 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 source (direct Gemma or distilled Codex), 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".