Developing complex interventions: lessons learned from a pilot study examining strategy training in acute stroke rehabilitation
Bibliographic record
Abstract
OBJECTIVE: To examine the feasibility of a strategy training clinical trial in a small group of adults with stroke-related cognitive impairments in inpatient rehabilitation, and to explore the impact of strategy training on disability. DESIGN: Non-randomized two-group intervention pilot study. SETTING: Two inpatient rehabilitation units within an academic health centre. PARTICIPANTS: Individuals with a primary diagnosis of acute stroke, who were admitted to inpatient rehabilitation and demonstrated cognitive impairments were included. Individuals with severe aphasia; dementia; major depressive disorder, bipolar, or psychotic disorder; recent drug or alcohol abuse; and anticipated length of stay less than five days were excluded. INTERVENTION: Participants received strategy training or an attention control session in addition to usual rehabilitation care. Sessions in both groups were 30-40 minutes daily, five days per week, for the duration of inpatient rehabilitation. MAIN OUTCOME MEASURES: We assessed feasibility through participants' recruitment and retention; research intervention session number and duration; participants' comprehension and engagement; intervention fidelity; and participants' satisfaction. We assessed disability at study admission, inpatient rehabilitation discharge, 3 and 6 months using the Functional Independence Measure. RESULTS: Participants in both groups (5 per group) received the assigned intervention (>92% planned sessions; >94% fidelity) and completed follow-up testing. Strategy training participants in this small sample demonstrated significantly less disability at six months (M (SE) = 117 (3)) than attention control participants (M(SE) = 96 (14); t 8 = 7.87, P = 0.02). CONCLUSIONS: It is feasible and acceptable to administer both intervention protocols as an adjunct to acute inpatient rehabilitation, and strategy training shows promise for reducing disability.
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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 | 0.022 | 0.035 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.002 | 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".