Development of a Dyad-Focused Intervention for Stroke Survivors and Their Family Caregivers: A Feasibility Study
Bibliographic record
Abstract
IMPORTANCE: Transitioning from the hospital to the community poses significant challenges for stroke survivors and their caregivers. OBJECTIVE: To examine the feasibility and preliminary effects of a dyad-focused strategy training intervention. DESIGN: Single-arm trial with data collection at baseline, postintervention, and 3-mo follow-up. SETTING: Rehabilitation settings in Taiwan. PARTICIPANTS: Sixteen stroke survivor-caregiver dyads. INTERVENTIONS: Dyad-focused strategy training was provided to stroke survivor-caregiver dyads twice a week over 6 wk. The training included shared decision-making, goal setting, performance evaluation, strategy development and implementation, and therapeutic guided discovery. OUTCOMES AND MEASURES: Feasibility indicators were Goal Attainment Scaling, Dyadic Relationship Scale, Participation Measure-3 Domains, 4 Dimensions, Activity Measure for Post-Acute Care, Montreal Cognitive Assessment, Trail Making Test, Stroop Color and Word Test, Preparedness for Caregiving Scale, and Zarit Burden Interview. RESULTS: In total, 15 dyads completed all intervention sessions with full attendance. Both stroke survivors and their caregivers demonstrated high engagement and comprehension and reported moderate to high satisfaction with the intervention. From baseline to postintervention, the effects on goal attainment, frequency and perceived difficulty of community participation, executive function, mobility function, and caregiver preparedness were significant and positive. CONCLUSIONS AND RELEVANCE: Our study supports the feasibility and preliminary efficacy of dyad-focused strategy training for stroke survivor-caregiver dyads transitioning from the hospital to the community in Taiwan. Our preliminary evidence indicates that dyads who receive strategy training exhibit advancement toward their goals and experience considerable enhancements in their individual outcomes. Plain-Language Summary: This study addresses the scarcity of interventions catering to both stroke survivors and their caregivers. By demonstrating the feasibility of our dyad-focused intervention, the research offers preliminary evidence that supports the potential advantages of involving both stroke survivors and their caregivers in the intervention process.
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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 | 0.004 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| 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".