Palliative Care Models in Long-Term Care: A Scoping Review
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
OBJECTIVE: The goal of this scoping review was to identify existing palliative models in long-term care (LTC) homes and differentiate between the key components of each in terms of training/capacity-building strategies; resident, family and staff support; and advance care planning (ACP) and goals-of-care discussions. METHODS: We conducted a scoping review based on established methods to summarize the international literature on palliative models and programs for LTC. We analyzed the data using tabular summaries and content analysis. RESULTS: We extracted data from 46 articles related to palliative programs, training/capacity building, family support, ACP and goals of care. Study results highlighted that three key components are needed in a palliative program in LTC: (1) training and capacity building; (2) support for residents, family and staff; and (3) ACP, goals-of-care discussion and informed consent. CONCLUSION: This scoping review provided important information about key components to be included in a palliative program in LTC. Future work is needed to develop a model that suits the unique characteristics in the Canadian context.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it