23 Current Trends in Canada in Neonatal Palliative Care
Bibliographic record
Abstract
Abstract Background The area of palliative care in pediatrics has been expanding, as evidence emphasizes the benefits of providing pediatric patients and their families with optimized care in cases of chronic illness and end-of-life. The majority of pediatric deaths occur in infants under one year, with significant portions of these deaths taking place in Neonatal Intensive Care Units (NICU). The expansion of palliative care into neonatal medicine is of significant importance, as symptom management and end-of-life care plays a vital role in providing complete care to these infants. Guidelines that have been put into place can vary significantly between centers. Published studies in neonatal palliative care (PC) describe these challenges, however little data currently exists specific to Canadian NICUs. Objectives The primary objective was to gather information about current practice trends and themes around barriers in neonatal PC. Design/Methods An anonymous survey was distributed to Canadian Level 3 NICU staff, including neonatologists, neonatal nurse practitioners (NP), and neonatal fellows through the Qualtrics platform. Surveys were distributed through email and responses tracked in the Qualtrics system. Results The survey response rate was 57. The majority of respondents were neonatologists (50%), with many having more than 5 years of experience. Provision of palliative care was common with 20/57 respondents being involved in 5 or more cases in the past year. Only 40% of respondents reported that neonatologists and neonatal NPs received palliative care training at their center. When education did exist, lectures (31%) and workshops (26%) were most common. 97% said their centre would benefit from more education. 53% of respondents said their center had an established guideline around neonatal PC, 20% did not know and 27% answered no. Only 8% of respondents who work at centres with a guideline found that it was consistently followed. Respondents were asked to identify barriers to implementation at their place of practice. Common responses noted challenges in NICU collaborations with maternal-fetal medicine and palliative care teams, as well as lack of education and providers’ personal beliefs. Lastly, respondents provided details of their guidelines or common practices in PC which has been collated and summarized. Conclusion The results provide a snapshot of the current palliative care practices in academic NICUs across Canada. Overall the results were positive with many centers having a guideline and some provider education. The perceived barriers highlight focus areas for future education and policy development, and emphasize the importance of improved collaboration moving forward.
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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 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.007 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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".