Increasing palliative care capacity in primary care: study protocol of a cluster randomized controlled trial of the CAPACITI training program
Bibliographic record
Abstract
BACKGROUND: Primary care providers play a critical role in providing early palliative care to their patients. Despite the availability of clinical education on best practices in palliative care, primary care providers often lack practical guidance to help them operationalize this approach in practice. CAPACITI is a virtual training program aimed at providing practical tips, strategies, and action plans to provide an early palliative approach to care. The entire program consists of 12 sessions (1 h each), divided evenly across three modules: (1) Identify and Assess; (2) Enhance Communication Skills; (3) Coordinate for Ongoing Care. We report the protocol for our planned evaluation of CAPACITI on its effectiveness in helping primary care providers increase their identification of patients requiring a palliative approach to care and to strengthen other core competencies. METHODS: A cluster randomized controlled trial evaluating two modes of CAPACITI program delivery: 1) self-directed learning, consisting of online access to program materials; and 2) facilitated learning, which also includes live webinars where the online materials are presented and discussed. The primary outcomes are 1) percent of patients identified as requiring palliative care (PC), 2) timing of first initiation of PC, and self-reported PC competency (EPCS tool). Secondary outcomes include self-reported confidence in PC, practice change, and team collaboration (AITCS-II tool), as well as qualitative interviews. Covariates that will be examined are readiness for change (ORCA tool), learning preference, and team size. Primary care teams representing interdisciplinary providers, including physicians, nurse practitioners, registered nurses, care coordinators, and allied health professionals will be recruited from across Canada. The completion of all three modules is expected to take participating teams a total of six months. DISCUSSION: CAPACITI is a national trial aimed at behavior change in primary care providers. This research will help inform future palliative care educational initiatives for generalist health care providers. Specifically, our findings will examine the effectiveness of the two models of education delivery and the participant experience associated with each modality. TRIAL REGISTRATION: ClinicalTrials.gov NCT05120154.
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How this classification was reachedexpand
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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.004 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".