PP061 Topic: AS07–Family Care: Patient and Family Centered Care, Family Presence, Patient and Family Engagement in Research and Care/Patient Diaries/Other: ENTERING PLACES OF SUFFERING - NURSES’ PERSPECTIVES ON ENACTING COMPASSION IN THE PICU
Bibliographic record
Abstract
Aims & Objectives: Compassion means to “suffer with another person” and to take action to alleviate their suffering. Compassion toward patients and families has been demonstrated to improve patient outcomes, enhance quality care ratings, and decrease staff burnout. Despite growing discourses on compassion in healthcare and its reputed importance, there has been no previous research investigating compassion among nurses in the Pediatric Intensive Care Unit (PICU) context. The purpose of this research was to explore how nurses enact compassion in the PICU. Methods: This study used the interpretive description methodology. Seven registered nurses from Canadian PICUs participated in semi-structured interviews. Data were analysed using reflexive thematic analysis. Results: Two main themes were understood in an overarching metaphor that described ways nurses enact compassion toward patients and families in PICUs: “Opening the Door” and “Being Inside.” Enacting compassion involved a willingness to courageously enter into both the physical patient room and into patient and family experiences of suffering—to suffer with them. Nurses have a uniquely challenging role in relation to compassion by being a healthcare team member with the most consecutive hours of engagement with patients and families. Additionally, this study offers a novel distinction between compassionate actions that invite patients and families to open up, and compassionate actions that depend on openness or trust having already been established. Conclusions: This study contributes PICU nurse perspectives on how they practically enacted compassion in their context, which involved ways of both Opening the Door and Being Inside with patients and families. Keywords: compassion, Family centred care, nursing, suffering, engagement
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.005 | 0.004 |
| Scholarly communication | 0.008 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.105 | 0.018 |
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".