Goals of older adults transitioning from hospital to home in the community
Bibliographic record
Abstract
PURPOSE: This study examined 1) goals of older adults discharged from hospital to home in the community; 2) if goals changed during a short-term, community-based hospital-to-home program providing rehabilitation services. MATERIALS AND METHODS: Adults ≥ 60 years recently discharged from hospital and participating in the program recorded goals at baseline and discharge, completing the Patient Specific Functional Scale (PSFS). Goals were mapped to the International Classification of Functioning, Disability and Health (ICF). Pre- and post-program PSFS scores were analysed for change. RESULTS: Thirty-eight percent of goals recorded at baseline were mapped as Body Functions, and 61.9% were mapped as Activities and Participation, with Mobility mapped goals most common (60.6%), followed by goals mapped as Domestic Life (21.2%). Of the goals mapped as Body Functions, 60.7% were mapped as Neuromusculoskeletal & Movement Functions. A statistically significant increase in PSFS scores from baseline to discharge was found for goals mapped to Activities and Participation and Body Functions domains, with the exception of those mapped to the Self-care domain. CONCLUSION: Older adult participants had a variety of goals, including goals that did not pertain to physical function. The need for continued rehabilitation services and supports was highlighted by PSFS scores at program discharge.
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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 | 0.001 | 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) | 0.001 | 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".