Setting a new standard of care in nursing homes.
Bibliographic record
Abstract
The Winnipeg Regional Health Authority's introduction of a full-time nurse practitioner in a 116-bed non-profit nursing home provided an opportunity to explore a collaborative relationship between an NP acting as the primary care provider and a single physician serving as the consultant for complex care and after-hours care. The outcomes were measured in terms of resident and family satisfaction, quality of care indicators and cost effectiveness. Data were collected from pre-existing quality indicators, including a resident/family satisfaction survey, transfers to acute care, and medication use statistics. Unstructured interviews were also conducted with nursing staff and members of the interdisciplinary team. Dramatic improvements in medication use were observed, including a 17 per cent reduction in overall drug costs, a 55 per cent decrease in polypharmacy rates and a 63 per cent reduction in antipsychotic drug use. Transfers to emergency decreased by 20 per cent. Family satisfaction with the quality of health care provided to residents increased by 24 per cent. The collaborative practice of an NP with physician consultation is an effective way of delivering quality care to nursing home residents.
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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 | 0.009 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.003 | 0.007 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.020 | 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".