Impact of Be EPIC on Person-Centered Communication
Bibliographic record
Abstract
Abstract This study assessed the impact of Be EPIC, a dementia-focused, person-centered communication intervention for personal support workers (PSWs). Video-recorded conversations between PSWs and simulated persons with dementia assessed whether Be EPIC participants (n=13) (versus a wait-list control group, n=8) reported a greater proportion of person-centered communication utterances (recognition, negotiation, facilitation, validation). We used linear mixed model analysis to investigate if Be EPIC influenced PSWs’ person-centered communication. Group (Be EPIC versus control group), time (pre-, post-, and 3-months) and their interaction were included in the model. There was a significant group by time interaction. Follow-up tests showed that participants who took Be EPIC showed significant increases in person-centered utterances from pre- to post-training and pre-training to 3 months later. Participants in the control group showed no changes in person-centered communication. These findings show that Be EPIC enhanced person-centered communication, which is essential for quality of care.
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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 | 0.002 | 0.006 |
| 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 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".