Stroke‐specific executive function assessment: A literature review of performance‐based tools
Bibliographic record
Abstract
BACKGROUND/AIM: Executive function should be an integral component of post-stroke assessment. However, a Canada-wide survey of occupational therapists on stroke rehabilitation practices found a rare use of executive function assessments. Performance-based executive function assessments that closely reflect real-world activities are useful in identifying individuals who will face difficulties when returning to home and community activities. To increase clinicians' awareness of these tools, a literature review was conducted to identify performance-based measures of executive function and their stroke-specific psychometric properties. METHODS: The review identified 17 performance-based tools and 41 studies that reported their psychometric properties specific to stroke. Each tool was critically appraised according to the executive function components assessed, the level of functioning assessed (i.e. impairment, activity or participation), the environment within which the assessment is conducted and the tool's psychometric properties and clinical utility. Standard criteria were used to evaluate the tools' psychometric properties. The findings were compiled in a Stroke-Specific Executive Function Toolkit. RESULTS: The assessments that demonstrated the strongest evidence of reliability and validity were the Executive Function Performance Test, the Multiple Errands Test and the Assessment of Motor and Process Skills. Only the Assessment of Motor and Process Skills has been adequately evaluated for its ability to detect change. In terms of clinical utility, the Kettle Test has the shortest administration time (i.e. less than 20 minutes) and requires limited equipment. CONCLUSIONS AND SIGNIFICANCE OF THE STUDY: The Stroke-Specific Executive Function Toolkit provides clinicians with useful information that should facilitate identification of appropriate executive function tools for use across the continuum of stroke care.
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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 | 0.011 | 0.044 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.003 |
| Bibliometrics | 0.017 | 0.016 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| 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 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".