Evaluation of the Strengthening a Palliative Approach in Long Term Care (SPA-LTC) programme: a protocol of a cluster randomised control trial
Bibliographic record
Abstract
INTRODUCTION: Despite the high mortality rates in long-term care (LTC) homes, most do not have a formalised palliative programme. Hence, our research team has developed the Strengthening a Palliative Approach in Long Term Care (SPA-LTC) programme. The goal of the proposed study is to examine the implementation and effectiveness of the SPA-LTC programme. METHODS AND ANALYSIS: A cross-jurisdictional, effectiveness-implementation type II hybrid cluster randomised control trial design will be used to assess the SPA-LTC programme for 18 LTC homes (six homes within each of three provinces). Randomisation will occur at the level of the LTC home within each province, using a 1:1 ratio (three homes in the intervention and control groups). Baseline staff surveys will take place over a 3-month period at the beginning for both the intervention and control groups. The intervention group will then receive facilitated training and education for staff, and residents and their family members will participate in the SPA-LTC programme. Postintervention data collection will be conducted in a similar manner as in the baseline period for both groups. The overall target sample size will be 594 (297 per arm, 33 resident/family member participants per home, 18 homes). Data collection and analysis will involve organisational, staff, resident and family measures. The primary outcome will be a binary measure capturing any emergency department use in the last 6 months of life (resident); with secondary outcomes including location of death (resident), satisfaction and decisional conflict (family), knowledge and confidence implementing a palliative approach (staff), along with implementation outcomes (ie, feasibility, reach, fidelity and perceived sustainability of the SPA-LTC programme). The primary outcome will be analysed via multivariable logistic regression using generalised estimating equations. Intention-to-treat principles will be used in the analysis. ETHICS AND DISSEMINATION: The study has received ethical approval. Results will be disseminated at various presentations and feedback sessions; at provincial, national and international conferences, and in a series of manuscripts that will be submitted to peer-reviewed, open access journals. TRIAL REGISTRATION NUMBER: NCT039359.
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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 | 0.104 | 0.077 |
| Meta-epidemiology (narrow) | 0.007 | 0.004 |
| Meta-epidemiology (broad) | 0.010 | 0.007 |
| Bibliometrics | 0.004 | 0.006 |
| Science and technology studies | 0.004 | 0.005 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.005 | 0.003 |
| Research integrity | 0.009 | 0.010 |
| Insufficient payload (model declined to judge) | 0.052 | 0.011 |
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".