Improving Access to Home and Community Care
Bibliographic record
Abstract
In 2017, the federal Liberal government confirmed the new Canadian Health Accord, which included a targeted transfer of $6B over ten years to the provinces and territories to improve access to home and community care services. Although there were previous federal initiatives aimed at enhancing home and community care services, challenges remain. Many Canadians cannot access home care, and a high burden of care is placed on formal and informal caregivers. These challenges partly stem from an unregulated home care sector and a societal undervaluing of the caregiving role. In 2016, federal, provincial, and territorial governments met and established home and community care as a Canadian health priority. Funding was agreed to in principle from 2016 to 2017 and finalized from 2017 to 2019 through a series of bilateral agreements. The targeted transfer appears to be boosting investments in the home care sector and fostering collaboration across jurisdictions. However, it is unclear whether there have been improvements in access to home and community care. En 2017, le gouvernement libéral fédéral a confirmé le nouvel Accord canadien sur la santé qui comprenait un transfert ciblé de 6 milliards de dollars sur 10 ans aux provinces et aux territoires pour améliorer l'accès aux services de soins à domicile et en milieu communautaire. Bien qu'il y ait eu des initiatives fédérales antérieures visant à améliorer les services de soins à domicile et en milieu communautaire, des problèmes subsistent : de nombreux Canadiens ne sont pas en mesure d'accéder aux soins à domicile et le fardeau des soins pour les proches aidants est élevé. Ces problèmes découlent en partie d'un secteur de soins à domicile non réglementé et d'une sous-valorisation sociétale de l'importance des services prodigués par les aidants et du fardeau qu'ils représentent. En 2016, les gouvernements fédéral, provinciaux et territoriaux ont convenu d'établir les soins à domicile et en milieu communautaire comme une priorité de santé au Canada. Cependant, il a fallu attendre jusqu'en 2019 pour la conclusion de tous les accords bilatéraux de financement. Un an plus tard, ce transfert ciblé semble avoir réussi à stimuler les investissements dans le secteur des soins à domicile et à favoriser la collaboration entre les juridictions. Cependant, il n'est pas encore possible de déceler s'il y a eu des améliorations dans l'accès aux soins à domicile et dans la communauté.
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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 | 0.004 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.026 | 0.003 |
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".