Qualitative Exploration of Black Canadian Parents' Experiences of Having a Preterm Infant and Navigating Racism in the <scp>NICU</scp>
Bibliographic record
Abstract
AIM: The study aims to explore the experiences of Black Canadian parents following a preterm birth and their perspectives of being in the NICU. DESIGN: A qualitative design guided by principles of community engagement was used to explore the experiences of Black Canadian parents. METHODS: Focus groups and in-depth interviews were conducted with 40 Black parents of preterm infants. A thematic analysis approach was used to organize the data into meaningful themes. RESULTS: Five major themes were identified through the data analysis: encountering racism and discrimination in the NICU, bearing the emotional weight of staying in the NICU, enduring the feeling of bodily betrayal and guilt, grappling with the turmoil of uncertainty and seeking peer and mental health support programs. CONCLUSION: This study provides in-depth understanding of the unique experiences of Black Canadian parents after a preterm birth and the challenges they face navigating the NICU. IMPLICATIONS FOR PROFESSIONAL AND/OR PATIENT: Developing a targeted training program for health care providers is critical to address racism and discriminatory practices and enhance parents' sense of belonging in the NICU. Creating Black-focused peer support and accessible mental health care during and after the NICU is critical to address the gaps in programs and services and to promote effective coping. IMPACT: Addressing racism and discriminatory practice requires urgent attention to promote equity within the NICU environment. Scaling up access to Black peer support and mental health programs will contribute to improving parental wellbeing in Canada and beyond. PATIENT OR PUBLIC: This study was in partnership with the Canadian Premature Babies Foundation, our community collaborator.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".