Challenges navigating publicly funded home care in Ontario, Canada: Perspectives from unpaid caregivers of persons living with dementia
Bibliographic record
Abstract
In Canada, persons living with dementia represent a sizable number of home care recipients. Although home care is not wholly publicly funded under provincial health insurance plans, some provinces like Ontario subsidize a maximum number of hours of home care provided by a personal support worker (PSW) on the basis of need. The public subsidization of home care may be interpreted as a mechanism of financial risk protection, enabling unpaid caregivers to maintain employment, income levels, and personal health. However, deficits in the availability of home care call into question how the organization of home care may be contributing to financial risk among unpaid caregivers. Inspired by qualitative phenomenology, this study describes the financial risks experienced by unpaid caregivers of persons living with dementia navigating publicly funded homecare in Ontario. Based on 24 interviews conducted between August-December, 2020, we found financial risk emerges across three dimensions: 1) receiving information about publicly funded home care that anticipates future care needs; 2) receiving flexible hours of support from a PSW; and 3) maintaining consistent access to quality support. Financial risks included turning to privately funded home care options, or taking time off work to provide care. Findings may inform local and international home care reforms aiming to protect caregivers from financial risk.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".