Transition from Geriatric Assessment and Rehabilitation Units to home
Bibliographic record
Abstract
As the population continues to age, the number of hospitalised elderly will increase. It is sometimes commented that this elderly population is being discharged home "quicker and sicker". One response to this problem in Canada has been the development of Geriatric Assessment and Rehabilitation Units (GARU). The goal of these units is to maximise the function of the elderly and discharge them to the community. The purpose of this study was to explore the factors related to the transition from a GARU to home. The researcher interviewed twenty-three individuals over a six-month period who were discharged from a GARU in a long-term care facility in Winnipeg. The Neuman Model of Nursing was the theoretical framework upon which this research was based. This study included both a quantitative and qualitative component. Five key factors, including informal and formal support, functional ability, self-perceived health, well being, and preparedness for discharge were examined with regards to their relationship to theindividual's perception of ease of transition home.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".