A Profile of Older Adults With a History of Stroke Receiving Home Care in Ontario, Canada
Bibliographic record
Abstract
The demand for home care services is increasing, yet the literature describing the clinical characteristics of community-dwelling individuals with a history of stroke who receive home care is limited. In this retrospective, cross-sectional, population-level study, data were sourced from home care recipients aged 65+ who had a routine assessment using the Resident Assessment Instrument for Home Care (RAI-HC) in Ontario between January 2007 and December 2011. The RAI-HC contains several health status indicators and validated health index scales. The association of a history of stroke on health status was assessed through a series of logistic regression models, adjusted for age, sex, and number of comorbidities. Sex differences were also explored. A change in odds of ≥25% was considered to indicate a clinically important finding. From the home care data (N = 319,694), 56,909 individuals had a stroke diagnosis, with approximately 86% diagnosed with ≥3 chronic conditions. A stroke diagnosis was associated with a higher risk of limitations or impairments with communication, locomotion, continence, activities of daily living, and cognitive performance. A clinically meaningful difference was not observed for symptoms of depression. Few sex differences were observed. In an effort to support the development of effective home and community-based care programs, research is needed to understand differences in community-dwelling versus institutional populations. Community-dwelling individuals with a history of stroke show higher levels of impairment and limitations compared with those without, suggesting areas where home care resources could be improved to help manage the chronic effects of stroke.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".