The first regional interdisciplinary paediatric palliative care (PPC) workshop for the Eastern Mediterranean Region: a groundbreaking collective step for PPC integration
Bibliographic record
Abstract
Amidst the global disparities in providing Paediatric Palliative Care (PPC), the compounded realities in the Eastern Mediterranean region intensify the need for palliative care for children with cancer. This region hosts 12% of children needing PPC worldwide within limited specialised services, training and resources exacerbated by political instabilities. Immediate effective responses may reside in promoting interdisciplinary capacity-building combined with action planning among healthcare professionals, stakeholders and advocates for patients and their families. In response to these pressing needs, the First Regional Interdisciplinary PPC Workshop was held in-person in Rabat, Morocco on 6-8 November 2024, aiming to strengthen regional interdisciplinary healthcare professionals' capacity through training and collaborative action planning to improve PPC integration in cancer treatment. Eighty-five attendees representing 15 countries including regional healthcare professionals, international experts, foundation representatives and policymakers united in the commitment to promote PPC integration and enhance the quality of life for children with palliative care needs, particularly those with cancer living in this region. Over 3 days, participants engaged in training, discussions and action planning. Day one provided essential skills to deliver PPC at the patient care level (micro-level), day two discussed institutional implementation of PPC services (meso-level), day three tackled national and regional endeavours to promote PPC integration (macro-level). At the conclusion of the workshop, participants gained knowledge and confidence in various PPC skills. They shared their plans to establish PPC teams/units, apply symptom management and communication skills, train colleagues within their settings, conduct research and maintain networking to encourage collaboration opportunities. The workshop marked a pivotal step to deepen understanding of the PPC landscape and resources in the region. This impactful experience laid the foundations for different opportunities in practice, research, policy and advocacy to accelerate PPC integration in the Eastern Mediterranean region, fostering collective efforts to improve childhood cancer care globally.
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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 | 0.017 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.007 | 0.003 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.003 | 0.016 |
| Research integrity | 0.006 | 0.009 |
| Insufficient payload (model declined to judge) | 0.010 | 0.002 |
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".