Does informal care impact utilisation of home-based formal care services among end-of-life patients? A decade of evidence from Ontario, Canada
Bibliographic record
Abstract
Understanding how informal care impacts formal care utilisation for home-based end-of-life patients is an important policy- and practice-relevant question. This paper aims to assess the relationship between informal and formal home care among home-based end-of-life patients and how this relationship has changed over the last decade and over the end-of-life trajectory. We focus on informal care provided by family members or friends, and three types of home-based formal care services: care by personal support workers, physician visits, and nurse visits. Using survey data collected in a home-based end-of-life care programme in Ontario, Canada from 2005 to 2016, we build a two-part utilisation model analysing both the propensity to use each type of formal care and the amount of formal care received by patients. The results suggest that informal care is a substitute for care by personal support workers, but a complement to physician visits and nurse visits. In the case of nurse visits, an increased complementary effect is observed in more recent years. For home-based physician and nurse visits, the complementary effect grows with patient's proximity to death. These results highlight the complexity of the relationship between informal and formal care among home-based end-of-life patients. Decision-makers need to take into account the relationship between informal care and different types of formal services when introducing future policies.
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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 | 0.001 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".