Effectiveness and Cost-effectiveness of Home-Based Occupational Therapy with Activity Monitoring for Daily Functioning of People Post-Stroke: Protocol for a Partially Randomised Usual Care Stepped-Wedge Trial (Preprint)
Bibliographic record
Abstract
BACKGROUND Transitioning from a geriatric rehabilitation centre or hospital to home is challenging for persons post-stroke, as they must increase their ability to perform daily activities and self-manage their lives. Moreover, persons post-stroke exhibit more sedentary behaviour at home than during rehabilitation, which is detrimental to their health. The Occupational Therapy at Home E-Rehabilitation (OTHER) intervention aims to increase daily activities and self-management in persons post-stroke. OTHER involves in-person (online) coaching with information from activity monitoring. OBJECTIVE Here, we describe the design of a study investigating the (cost-)effectiveness of OTHER on the recovery of daily activities among older persons after stroke and evaluate its implementation process. METHODS A partially cluster randomised stepped-wedge trial is conducted in nine geriatric rehabilitation centres and two hospitals, aiming to include 171 post-stroke participants (aged ≥ 60 years) who are starting (inpatient) rehabilitation to return home. The intervention group receives the OTHER intervention by an occupational therapist, starting at the institute and continuing at home. This intervention consists of activity monitoring to increase insight into movement behaviour, as well as coaching by occupational therapists on improving daily activities at home. This supports persons post-stroke in performing daily activities and increasing self-management. The control group receives care as usual. The primary outcome is the performance score of the Canadian Occupational Performance Measure, which measures a person's perceived daily functioning at 6 months. A process evaluation will be conducted to assess the implementation process of the OTHER intervention during the research period. RESULTS Recruitment started on April 23, 2023. We completed recruitment for people after stroke at the end of July 2025. Data collection will continue until the end of January 2026. At the time of submission (November 2025), 121 participants had been enrolled. For the process evaluation, professionals for the focus groups (November 2025) are recruited now and individual interview of people post-stroke and informal caregiver started in February 2025 and will go on until December 2025. CONCLUSIONS This trial is studying the effect of activity monitoring combined with home-based occupational therapy coaching for persons post-stroke. With this study, we aim to provide insight into the effectiveness and cost-effectiveness of the OTHER intervention compared to care as usual for persons post-stroke, and describe the process of implementation, which includes home-based geriatric rehabilitation. CLINICALTRIAL ClinicalTrials.gov: NCT05855226; https://clinicaltrial.be/nl/details/267616?country=Netherlands&only_eligible=0&only_recruiting=1&per_page=100 Preprint at MEDRXIV: 2025/337833
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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 | 0.019 | 0.022 |
| Meta-epidemiology (narrow) | 0.005 | 0.003 |
| Meta-epidemiology (broad) | 0.011 | 0.008 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.006 | 0.005 |
| Insufficient payload (model declined to judge) | 0.047 | 0.007 |
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".