What is stopping us? An implementation science study of kangaroo care in British Columbia’s neonatal intensive care units
Bibliographic record
Abstract
BACKGROUND: The goal of the Neonatal Intensive Care Unit (NICU) is to provide optimal care for preterm and sick infants while supporting their growth and development. The NICU environment can be stressful for preterm infants and often cannot adequately support their neurodevelopmental needs. Kangaroo Care (KC) is an evidence-based developmental care strategy that has been shown to be associated with improved short and long term neurodevelopmental outcomes for preterm infants. Despite evidence for best practice, uptake of the practice of KC in resource supported settings remains low. The aim of this study was to identify and describe healthcare providers' perspectives on the barriers and enablers of implementing KC. METHODS: This qualitative study was set in 11 NICUs in British Columbia, Canada, ranging in size from 6 to 70 beds, with mixed levels of care from the less acute up to the most complex acute neonatal care. A total of 35 semi-structured healthcare provider interviews were conducted to understand their experiences providing KC in the NICU. Data were coded and emerging themes were identified. The Consolidated Framework for Implementation Research (CFIR) guided our research methods. RESULTS: Four overarching themes were identified as barriers and enablers to KC by healthcare providers in their particular setting: 1) the NICU physical environment; 2) healthcare provider beliefs about KC; 3) clinical practice variation; and 4) parent presence. Depending on the specific features of a given site these factors functioned as an enabler or barrier to practicing KC. CONCLUSIONS: A 'one size fits all' approach cannot be identified to guide Kangaroo Care implementation as it is a complex intervention and each NICU presents unique barriers and enablers to its uptake. Support for improving parental presence, shifting healthcare provider beliefs, identifying creative solutions to NICU design and space constraints, and the development of a provincial guideline for KC in NICUs may together provide the impetus to change practice and reduce barriers to KC for healthcare providers, families, and administrators at local and system levels.
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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 | 0.020 | 0.028 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.022 | 0.009 |
| Scholarly communication | 0.007 | 0.002 |
| Open science | 0.004 | 0.006 |
| Research integrity | 0.002 | 0.004 |
| 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".