Results of a UK-wide vignette study with occupational therapists to explore cognitive screening post stroke
Bibliographic record
Abstract
Background/Aims There is a paucity of evidence in the UK regarding cognitive screening performed by occupational therapists and whether, and how, cognitive impairments are identified and assessed. The aim of this study was to identify current occupational therapy practice for the assessment of cognitive problems in patients following stroke. Methods Occupational therapists were invited to complete an online vignette study. Participants were asked to: identify any presenting cognitive problems; decide whether to complete cognitive assessments; and list any assessments they would use. Data were analysed using descriptive analysis. Results A total of 53 occupational therapists from across the UK participated. Participants identified key cognitive issues, but some problems, such as apraxia and attention, were overlooked. A large number of potential assessments were suggested, the most common being the Montreal Cognitive Assessment and Oxford Cognitive Screen. Conclusions The variation found in occupational therapists' recognition and assessment of cognitive problems has the potential to impact on management and rehabilitation in stroke services, survivor outcomes, education and research.
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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 | 0.014 | 0.045 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".