The Future of Long-Term Care in Quebec: What Are the Cost Savings from a Realistic Shift toward More Home Care?
Bibliographic record
Abstract
In this article, we aim to estimate future long-term care needs and expenditures in Quebec while proposing and evaluating a reform package that could deliver increased coverage and be more financially sustainable than current policy. This reform package consists of a shift toward more intensive use of home care while increasing public coverage of care needs. A key feature of the proposed reform is to improve users’ ability to choose their provider with the creation of a senior’s care account, an account that allows individuals in need to purchase services from several providers, including both home and institutional care. To improve the neutrality of public support across care arrangements, we also propose an increase in the resident contribution in nursing homes while favouring the continued use of existing tax credits to help seniors with lower care needs. Using detailed dynamic modelling of care needs, living arrangements, and expenditures, we estimate that long-term care needs will grow rapidly in the next two decades, and the costs will quickly become prohibitive under current policy. We show that substantial cost savings may exist.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".