Physical function in hospice patients and physiotherapy interventions: a profile of hospice physiotherapy
Bibliographic record
Abstract
Objective: There is a dearth of international research on hospice physiotherapy. This study aims to profile hospice physiotherapy in an Irish setting in order to inform practice internationally. Design: The study design consisted of a retrospective chart audit over 6 months. Setting: The study took place at a specialist palliative care inpatient unit (hospice) in Limerick, Ireland. Participants: All patients were discharged (through death or discharge onwards) from January to June 2010. Outcome measure: The Edmonton Functional Assessment Tool (EFAT-2) was used as an outcome measure. Results: Sixty-five percent were referred for physiotherapy; 58% (n = 144) were assessed and treated. A wide range of patients was referred (mean functional score 11, range 1–23, SD 5). Rehabilitation activities were widespread: 48% with more than one functional score recorded made improvements; 53% of physiotherapy patients were eventually discharged home; 47% of physiotherapy patients died, of whom 52% received physiotherapy in the last week of life. The median physiotherapy program lasted 11 days (range 1–186, SD 22) whereas the median number of treatments was four (range 1–99, SD 10). The most common interventions were gait re-education (67%), transfer training (58%), and exercises (53%). One third of treatment attempts were unsuccessful because of the unavailability/unsuitability of patients. Challenges for physiotherapists included frequent suspension of treatment and large functional fluctuations in patients. Conclusion: There was a high referral rate to physiotherapy in this hospice. Functional changes in hospice patients were mapped, showing that physiotherapy involved both rehabilitative and quality of life/supportive measures. The most common treatments were physical activity interventions.
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 | 0.001 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| 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 | 0.001 |
| 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".