Examining the Hospital Elder Life Program in a rehabilitation setting: a pilot feasibility study
Bibliographic record
Abstract
BACKGROUND: The Hospital Elder Life Program (HELP) has been shown to effectively prevent delirium and functional decline in older patients in acute care, but has not been examined in a rehabilitation setting. This pilot study examined potential successes and implementation factors of the HELP in a post-acute rehabilitation hospital setting. METHODS: A mixed methods (quantitative and qualitative) evaluation, incorporating a repeated measures design, was used. A total of 100 patients were enrolled; 58 on the pilot intervention unit and 42 on a usual care unit. Group comparisons were made using change scores (pre-post intervention) on outcome measures between pilot unit patients and usual care patients (separate analyses compared usual care patients with pilot unit patients who did or did not receive the HELP). Qualitative data were collected using focus group and individual interviews, and analyzed using emergent coding procedures. RESULTS: Delirium prevalence reduced from 10.9 % (n = 6) to 2.5 % (n = 1) in the intervention group, while remaining the same in the usual care group (2.5 % at both measurement points). Those who received the HELP showed greater improvement on cognitive and functional outcomes, particularly short-term memory and recall, and a shorter average length of stay than patients who did not. Participant groups discussed perceived barriers, benefits, and recommendations for further implementation of the HELP in a rehabilitation setting. CONCLUSIONS: This study adds to the limited research on delirium and the effectiveness of the HELP in post-acute rehabilitation settings. The HELP was found to be feasible and have potential benefits for reduced delirium and improved outcomes among rehabilitation patients.
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 | 0.017 | 0.014 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".