Mothers' and health care providers' perspectives of the barriers and facilitators to attendance at <scp>C</scp>anadian neonatal follow‐up programs
Bibliographic record
Abstract
BACKGROUND: Despite the benefits of Neonatal Follow-Up (NFU) programs for infants at risk for developmental problems subsequent to preterm birth, non-attendance continues to be a problem within Canada and beyond. This study investigated the barriers and facilitators to attendance at Canadian NFU programs from mothers' and health care providers' (HCP) perspectives. METHODS: In this multi-site qualitative descriptive study, we conducted semi-structured individual interviews with 12 mothers, six from each of two NFU programs; and focus groups with 20 HCPs from nine NFU programs. Interviews were audio-recorded and transcribed and then subjected to thematic analysis. RESULTS: The predominant barriers represented a complex interplay of cumulative factors: mothers' isolation and feeling overwhelmed, with limited support, experiencing difficulty attending because of limited resources, who viewed NFU as not needed until problems arose for their child. Other barriers included vulnerability and fear of bad news. Mothers reported the need to protect their vulnerable child from risks, whereas HCPs reported creating vulnerability by monitoring the child's development over time. HCPs perceived fear of bad news as a barrier, whereas mothers viewed that impending bad news increased their need to attend to address the issue. The predominant facilitators were support, family centred-care and mothers with adequate resources. CONCLUSIONS: Attendance is most problematic for mothers with limited support, capacity and resources. First and foremost, targeted approaches to NFU service provision are needed to address the cumulative barriers and improve experiences for mothers who find it difficult to attend NFU. A continuous relationship with a single point of contact is needed and merits further investigation - a provider who works across the traditional silos of neonatal intensive care, NFU and community services, minimizes duplication and navigates transitions.
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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 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.008 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".