Accountability, Responsiveness and Quality for Clients Model of Home Support: A model for improved home support services to promote aging at home
Bibliographic record
Abstract
As the proportion of older adults increases within the Canadian population, healthcare systems across the country are facing increased demands for home-based services, including home care nursing, rehabilitation, case management, adult day programs, respite, meal programs and home support. Home support is one of the core care services required in the community to enable older adults to remain at home as long as possible. In 2006, Vancouver Community introduced a new home support delivery and performance management model: the Accountability, Responsiveness and Quality for Clients Model of Home Support (ARQ Model) (VCH 2006). The main components of the ARQ Model are an expanded use of "cluster care" along with stable monthly funding for high-density buildings and neighbourhoods; the introduction of specific monthly and quarterly quality performance reporting; and the implementation of performance-based funding for home support. This article discusses the setup of the ARQ model, its ongoing evaluation and results achieved thus far.
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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 | 0.021 | 0.015 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.004 | 0.007 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.003 | 0.007 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".