Integrated Care Case Supporting frail seniors through a family physician and Home
Bibliographic record
Abstract
fraserhealth.ca Background: A major effort is underway to integrate primary and community care in Canada’s western province of British Columbia and in Fraser Health, its largest health authority. Integrated care is a critical component of Fraser Health’s planning, to meet the challenges of caring for a growing, elderly population that is presenting more complex and chronic medical conditions. Description of integrated practice: An integrated care model partners family physicians with community-based home health case managers to support frail elderly patients who live at home. It is resulting in faster response times to patient needs, more informed assess-ments of a patient’s state of health and pro-active identification of emerging patient issues. Early results: The model is intended to improve the quality of patient care and maintain the patients ’ health status, to help them live at home confidently and safely, as long as possible. Preliminary pilot data measuring changes in home care services is showing positive trends when it comes to extending the length of a person’s survival/tenure in the community (living in their home vs. admitted to residential care or deceased). Conclusion: Fraser Health’s case manager–general practitioner partnership model is showing promising results including higher quality, appropriate, coordinated and efficient care; improved patient, caregiver and physician interactions with the system; improved health and
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.030 | 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".