A National Survey of the Nursing Care of Infants With Prenatal Substance Exposure in Canadian NICUs
Bibliographic record
Abstract
BACKGROUND: Many communities are reporting increases in the number of infants requiring NICU care. Practices continue to vary and there is limited available evidence about nursing care. PURPOSE: The purpose of this study was to describe current nursing care practices for infants with prenatal substance exposure in the NICU setting and during transition to the community. Findings from this study were compared with an earlier Canadian survey (by Marcellus in 2002) to identify shifts in clinical nursing practice for this population. METHODS: This was a cross-sectional descriptive survey design. A 68-item survey composed of multiple-choice and open-ended questions was administered through FluidSurveys online software. A convenience sample of 62 clinical managers or clinical educators in hospitals with active maternal-infant clinical units with 500 deliveries or more annually and/or pediatric hospitals with a separate designated neonatal service (ie, Level 2 and 3 units) was chosen. RESULTS: A greater number of NICUs are using clinical guidelines to support the standardization of quality care. Improvements in nursing practice were identified and these included the consistent use of a withdrawal scoring tool and provision of education for team members in orientation. A decline in routine discharge planning meetings and routine parent teaching plans was discovered. IMPLICATIONS FOR PRACTICE: This survey has improved understanding of the current state of nursing care for infants with prenatal substance exposure and their families during this critical time of transition. The purpose of the survey was to compare findings with the 2002 study by Marcellus to identify any improved practices and describe current state nursing care practices in the NICU. Practice changes over the last decade have included keeping mothers and infants together, expanding concepts of the team, integrating programs and services across hospital and community settings, and creating opportunities for NICU teams to learn more about substance use, mental health, violence, and trauma. IMPLICATIONS FOR RESEARCH: Focus on discharge planning, parent teaching, and creation and implementation of national/hospital guidelines is essential for consistent evidence-based quality patient care.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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 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".