Transforming Community Access Services through Client- and Family-Centred Homecare Transitions
Bibliographic record
Abstract
This article describes how one provincial health region adopted a client- and family-centred approach to improve access to community health services. Transition best practices and the "Triple Aim" supplied a framework for the transformation of transition of clients needing home healthcare services (Berwick et al. 2008). The need to improve the patient and family experience, establish and streamline professional practice standards, strengthen interprofessional collaborations, increase efficiency, create a critical mass of experts in the clinical domain of care transitions and program access, and evaluate customer experience were the organizational drivers for this transformation. The new framework identifies clients' needs and assigns a priority code. It also identifies which family member provides what support to the client and offers a one-stop service number staffed by individuals trained to provide client- and family-centred homecare services. This transformation of home healthcare transitions has improved the client and family experience, strengthened service provider satisfaction and generated efficiencies in prioritizing and delivering community healthcare services.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.004 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.002 | 0.010 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".