Functional trajectories of older patients admitted to an Acute Care Unit for Elders
Bibliographic record
Abstract
AIMS AND OBJECTIVES: To describe the functional trajectories of older medical inpatients and to identify factors associated with overall and in-hospital functional decline. BACKGROUND: Functional decline during a hospital stay is an important clinical outcome because independence remains a major determinant of older persons' quality of life and health care demands. DESIGN AND METHODS: Participants (n = 189) were admitted to the Acute Care Unit for Elders of a Swiss academic hospital and were aged 65 years and older. Performance in basic activities of daily living at home (self-reported), at hospital admission (observed) and at discharge (observed) was collected. Differences in scores for basic activities daily living between baseline and admission, between admission and discharge, and between baseline and discharge were used to define pre-admission, in-hospital and overall functional decline. Predictors of in-hospital and overall decline were identified using bivariate and multivariate logistic regression analyses. RESULTS: Pre-admission, in-hospital and overall functional decline occurred in 56.1%, 17.5% and 43.4% of the participants, respectively. In contrast, in-hospital functional improvement occurred in 40.2% of the participants. No predictors of pre-admission decline were identified, whereas pre-admission performance in instrumental activities of daily living was associated with in-hospital decline. Male gender and in-hospital delirium were associated with overall functional decline. CONCLUSIONS: Most older inpatients experienced functional decline before their hospital admission, but only a minority experienced decline during their stay. Importantly, delirium was a strong predictor of overall functional decline. IMPLICATIONS FOR PRACTICE: Low performance in instrumental activities of daily living prior to admission and delirium occurrence identified older patients at higher risk for in-hospital and overall functional decline. Gerontological nurses should play a key role in identifying these patients to provide preventative interventions and recovery care to preserve or restore their functional independence.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".