Identifying research priorities in newborn medicine: a Delphi study of parents’ views
Bibliographic record
Abstract
OBJECTIVE: Neonatal conditions can have lifelong implications for the health and well-being of children and families. Traditionally, parents and patients have not been included in shaping the agenda for research and yet they are profoundly affected by the neonatal experience and its consequences. This study aimed to identify consensus research priorities among parents/patients of newborn medicine in Australia and New Zealand. DESIGN: Parents/patients with experience of neonatal care in Australia and New Zealand completed an online Delphi study to identify research priorities across four epochs (neonatal admission, early childhood, childhood/adolescence and adulthood). Parents/patients first generated key challenges in each of these epochs. Through inductive thematic analysis, recurring topics were identified and research questions generated. Parents/patients rated these questions in terms of priorities and a list of questions consistently rated as high priority was identified. PARTICIPANTS: 393 individuals participated, 388 parents whose children had received neonatal care and 5 adults who had received neonatal care themselves. RESULTS: Many research questions were identified as high-priority across the lifespan. These included how to best support parental mental health, relationships between parents and neonatal clinical staff (including involvement in care and communication), bonding and the parent-child relationship, improving neonatal medical care and addressing long-term impacts on child health and neurodevelopment. CONCLUSIONS: Parents with experience of newborn medicine have strong, clear and recurring research priorities spanning neonatal care practices, psychological and other impacts on families, and impacts on child development. These findings should guide neonatal research efforts. In addition to generating new knowledge, improved translation of existing evidence to parents is also needed.
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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 | 0.023 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".