Impaired everyday executive functions and cognitive strategy use on the Weekly Calendar Planning Activity in individuals with stroke undergoing acute inpatient rehabilitation
Bibliographic record
Abstract
Abstract Executive dysfunction is common in stroke patients undergoing acute inpatient rehabilitation. However, comprehensive neuropsychological evaluation of executive functions is often not feasible in this setting. Objective, standardized, and performance-based measures of cognitively-based instrumental activities of daily living (C-IADL) can capture everyday executive functions and inform rehabilitation planning and interventions. The goal of this study was to compare performance of individuals with stroke to healthy age-matched adults in performance on the 10-item Weekly Calendar Planning Activity (WCPA). 77 stroke inpatients undergoing rehabilitation and 77 healthy control participants completed the WCPA, a C-IADL measure involving scheduling appointments that requires planning, working memory, shifting, and inhibitory control. Compared to the control group, stroke patients had significantly worse accuracy, made more errors, used fewer cognitive strategies, followed fewer rules, took more time to complete the task, and were less efficient. 83% of stroke patients were less accurate than predicted by their age, and 64% used less strategies than their age prediction. Among 28 participants who screened as having “normal” cognitive function on the Montreal Cognitive Assessment, the majority had deficits on the WCPA. Our results indicate that the WCPA is sensitive to executive dysfunction in stroke patients undergoing acute inpatient rehabilitation and underscores deficits in C-IADL accuracy, efficiency, and strategy use at this stage of stroke recovery. The WCPA may be a useful measure to ascertain executive dysfunction and to incorporate in cognitive rehabilitation.
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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 | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".