The Alberta Neonatal Abstinence Syndrome Mother-Baby Care ImprovEmeNT (NASCENT) program: protocol for a stepped wedge cluster randomized trial of a hospital-level Neonatal Abstinence Syndrome rooming-in intervention
Bibliographic record
Abstract
Abstract Background Neonatal Abstinence Syndrome (NAS), a problem common in newborns exposed to substances in-utero, is an emerging health concern. In traditional models of care, infants with NAS are routinely separated from their mothers and admitted to the Neonatal Intensive Care Unit (NICU) with long, expensive length of stay (LOS). Research shows a rooming-in approach (keeping mothers and infants together in hospital) with referral support is a safe and effective model of care in managing NAS. The model’s key components are facilitating 24-h care by mothers on post-partum or pediatric units with support for breastfeeding, transition home, and access to Opioid Dependency Programs (ODP). This study will implement the rooming-in approach at eight hospitals across one Canadian Province; support practice and culture shift; identify and test the essential elements for effective implementation; and assess the implementation’s impact/outcomes. Methods A stepped wedge cluster randomized trial will be used to evaluate the implementation of an evidence-based rooming-in approach in the postpartum period for infants born to mothers who report opioid use during pregnancy. Baseline data will be collected and compared to post-implementation data. Six-month assessment of maternal and child health and an economic evaluation of cost savings will be conducted. Additionally, barriers and facilitators of the rooming-in model of care within the unique context of each site and across sites will be explored pre-, during, and post-implementation using theory-informed surveys, interviews, and focus groups with care teams and parents. A formative evaluation will examine the complex contextual factors and conditions that influence readiness and sustainability and inform the design of tailored interventions to facilitate capacity building for effective implementation. Discussion The primary expected outcome is reduced NICU LOS. Secondary expected outcomes include decreased rates of pharmacological management of NAS and child apprehension, increased maternal ODP participation, and improved 6-month outcomes for mothers and infants. Moreover, the NASCENT program will generate the detailed, multi-site evidence needed to accelerate the uptake, scale, and spread of this evidence-based intervention throughout Alberta, leading to more appropriate and effective care and use of healthcare resources. Trial registration ClinicalTrials.gov, NCT0522662. Registered February 4th, 2022.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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".