A pilot evaluation of the Strengthening a Palliative Approach in Long-Term Care (SPA-LTC) program
Bibliographic record
Abstract
BACKGROUND: Despite increased annual mortality in long-term care (LTC) homes, research has shown that care of dying residents and their families is currently suboptimal in these settings. The purpose of this study was to evaluate resident and family outcomes associated with the Strengthening a Palliative Approach in LTC (SPA-LTC) program, developed to help encourage meaningful end of life discussions and planning. METHODS: The study employs a mixed method design in four LTC homes across Southern Ontario. Data were collected from residents and families of the LTC homes through chart reviews, interviews, and focus groups. Interviews with family who attended a Palliative Care Conference included both closed-ended and open-ended questions. RESULTS: In total, 39 residents/families agreed to participate in the study. Positive intervention outcomes included a reduction in the proportion of emergency department use at end of life and hospital deaths for those participating in SPA-LTC, improved support for families, and increased family involvement in the care of residents. For families who attended a Palliative Care Conference, both quantitative and qualitative findings revealed that families benefited from attending them. Residents stated that they appreciated learning about a palliative approach to care and being informed about their current status. CONCLUSIONS: The benefits of SPA-LTC for residents and families justify its continued use within LTC. Study results also suggest that certain enhancements of the program could further promote future integration of best practices within a palliative approach to care within the LTC context. However, the generalizability of these results across LTC homes in different regions and countries is limited given the small sample size.
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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 | 0.005 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".