An integrated hospital-to-home transitional care intervention for older adults with stroke and multimorbidity: A feasibility study
Bibliographic record
Abstract
BACKGROUND: Stroke is the leading cause of death and adult disability in Canada. Eighty percent of older adults (≥65 years) who have suffered a stroke will return to their homes, and 60% will require ongoing rehabilitation. The transition between hospital and home is often fragmented, leading to adverse health outcomes, hospital readmissions, and increased health-care costs. This study examined the feasibility of a 6-month integrated transitional care stroke intervention (TCSI), and explored its effects on health outcomes, patient and provider experience, and cost in 30 community-living older adults (≥55 years) with stroke and multimorbidity (≥2 chronic conditions) using outpatient stroke rehabilitation services. METHODS: The TCSI is a 6-month intervention delivered by an interprofessional (IP) team (occupational therapist, physiotherapist, speech language pathologist, registered nurse, social worker). It involved care coordination, home visiting, and IP case conferences, supported by a web-based application. A qualitative descriptive approach was used to explore the feasibility of implementing the intervention. A prospective one-group pretest/posttest was used to evaluate the effects of the intervention on health outcomes and use and costs of health services, from baseline to 6 months. RESULTS: Participants had an average of eight comorbid conditions. The intervention was feasible and acceptable to both older adults and providers. From baseline to 6 months, there was no statistically significant difference in health outcomes. However, there was a significant reduction in the total per person use and costs of health services. CONCLUSIONS: This study established the feasibility of conducting a larger randomized controlled trial of this intervention.
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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 | 0.006 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 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) | 0.002 | 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".