The initial validation of an Evidence-informed, competency-based, Applied Compassion Training (EnACT) program: a multimethod study
Bibliographic record
Abstract
INTRODUCTION: Compassion is positively associated with improved patient outcomes, quality care ratings, and healthcare provider wellbeing. Supporting and cultivating healthcare providers' compassion through robust and meaningful educational initiatives has been impeded by a lack of conceptual clarity, inadequate content coverage across the domains of compassion, and the lack of validated evaluation tools. The EnACT program aims to address these gaps through an Evidence-informed, competency-based, Applied, Compassion Training program delivered to healthcare providers working in various clinical settings. In this study, we describe the development and initial validation of the program, which will inform and be further evaluated in a forthcoming Randomised Controlled feasibility Trial (RCfT). METHOD: A multimethod design was used to explore learner needs, experiences, and outcomes associated with the program. Pre- and post-training surveys and qualitative interviews (1 month post training) were conducted among twenty-six healthcare provider learners working in acute care and hospice. Quantitative measures assessed professional fulfillment/burnout, self-confidence in providing compassion, learner satisfaction, and compassion competence. Qualitative interviews explored learners' experiences of the program, integration of learnings into their professional practice, and program recommendations. RESULTS: Learners exhibited relatively high self-assessed compassion competence and professional fulfillment pre-training and low levels of burnout. Post-training, learners demonstrated high levels of compassion confidence and satisfaction with the training program. Despite high levels of reported compassion competence pre-training, a statistically significant increase in post-training compassion competence was noted. Thematic analysis identified five key themes associated with learners' overall experience of the training day and integration of the learnings and resources into their professional practice: (1) A beginner's mind: Learner baseline attitudes and assumptions about the necessity and feasibility of compassion training; (2) Learners' experiences of the training program; (3) Learner outcomes: integrating theory into practice; (4) Creating cultures of compassion; and (5) Learner feedback. CONCLUSION: Findings suggest that the EnACT program is a feasible, rigorous, and effective training program for enhancing healthcare provider compassion. Its evidence-based, patient-informed, clinically relevant content; interactive in class exercises; learner toolkit; along with its contextualized approach aimed at improving the clinical culture learners practice holds promise for sustaining learnings and clinical impact over time-which will be further evaluated in a Randomized Controlled feasibility Trial (RCfT).
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.006 | 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".