Life-threatening conditions, family conferences and patient-centered care: the experience of the PEDCONF
Bibliographic record
Abstract
ABSTRACT Introduction: Communication among healthcare professionals (HCPs), patients, and family members during hospital admission represents a major challenge for everyone involved. Life-threatening conditions or illnesses bring complexity to care and require effective and empathetic communication, one of the core components of patient-centered care. Nevertheless, there is still a lack of structured communication models in Portuguese to support HCPs, patients, and family members during family conferences in critical care units in Brazil. Experience Report: A structured and proactive communication model that uses the acronym PEDCONF was developed, consisting of four stages: (P) preparation of the conference, (E) early active listening to family members, (D) discussion of the clinical context, and (CONF) convergence between family and HCPs to develop a shared care plan. This model has been applied in the teaching-learning activities with HCPs through simulated conferences. Discussion: Although the implementation of structured and proactive communication models with family members of critically-ill patients has the potential to improve HCPs confidence in life-threatening illness scenarios, studies evaluating self-perceived outcomes related to confidence and performance during conferences by students in the short and long term are required in a local context. Conclusion: The PEDCONF model is presented as a promising tool to improve communication between HCPs, patients suffering from life-threatening diseases and their families, providing a shared and harmonized care plan among all those involved.
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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 | 0.000 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| 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".