Comfort Care Rounds: A Staff Capacity-Building Initiative in Long-Term Care Homes
Bibliographic record
Abstract
This article reports a pilot evaluation of Comfort Care Rounds (CCRs)--a strategy for addressing long-term care home staff's palliative and end-of-life care educational and support needs. Using a qualitative descriptive design, semistructured individual and focus group interviews were conducted to understand staff members' perspectives and feedback on the implementation and application of CCRs. Study participants identified that effective advertising, interest, and assigning staff to attend CCRs facilitated their participation. The key barriers to their attendance included difficulty in balancing heavy workloads and scheduling logistics. Interprofessional team member representation was sought but was not consistent. Study participants recognized the benefits of attending; however, they provided feedback on how the scheduling, content, and focus could be improved. Overall, study participants found CCRs to be beneficial to their palliative and end-of-life care knowledge, practice, and confidence. However, they identified barriers and recommendations, which warrant ongoing evaluation.
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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 | 0.015 | 0.019 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.003 | 0.006 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".