KNOWLEDGE, ATTITUDES AND PRACTICES SURROUNDING FETAL ALCOHOL SPECTRUM DISORDER AMONG HEALTHCARE PROVIDERS ACROSS NEW BRUNSWICK
Bibliographic record
Abstract
This study examined healthcare professionals’ knowledge, attitudes, and practices (KAP) related to fetal alcohol spectrum disorder (FASD) and prenatal alcohol exposure (PAE) in New Brunswick. Healthcare providers are central to prevention, intervention, and support for individuals consuming alcohol during pregnancy and people with FASD, yet gaps in KAP can influence how people access care, resources and overall health outcomes. A province-wide online survey (n = 224) and semi-structured interviews (n = 13) were conducted with healthcare professionals to assess baseline understanding, beliefs, engagement in FASD-related practices, training experiences, and preferences for advancing FASD-related work. Findings revealed general awareness of FASD but significant knowledge gaps, particularly regarding how to care and support affected individuals, largely due to limited training opportunities. Expanding access to specialized training is critical for improving healthcare delivery. Results will inform the New Brunswick FASD Centre of Excellence’s strategic action plan, with the aim of reducing stigma, raising awareness, addressing systemic disparities, and strengthening informed, equitable 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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 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".