An overview of family-focused interventions for supporting children with fetal alcohol spectrum disorder: A scoping review
Bibliographic record
Abstract
PURPOSE: Fetal Alcohol Spectrum Disorder (FASD) is a neurodevelopmental condition caused by prenatal alcohol exposure, associated with academic difficulties, motor impairments, language deficits, and executive function challenges. These difficulties extend beyond the individual child, placing stress on caregivers and creating unique needs within the family system. A scoping review was conducted to synthesize empirical evidence on family-focused interventions designed to support both children with FASD and their caregivers. METHODS: A comprehensive search of Google Scholar, CINAHL, PsycINFO, Medline, and PubMed identified 521 peer-reviewed articles published between 2003 and 2025. Twenty-two studies met inclusion criteria, including quantitative (n = 18) and mixed-methods (n = 4) designs. RESULTS: Core interventions identified included Children's Friendship Training, GoFAR, the Alert Program, and the MILE intervention. Most studies reported positive outcomes, with approximately two-thirds demonstrating reductions in children's internalizing and externalizing behaviours and over one-third reporting improvements in social skills and decreases in caregiver stress. However, variability in study design, measures, and reporting limited cross-study comparisons and generalisability. CONCLUSION: Findings support the potential of family-focused interventions to reduce child behavioural difficulties and caregiver stress while improving family functioning. Future research should seek to prioritize randomized controlled trials, standardized outcome measures, and greater attention to cultural adaptability and long-term follow-up.
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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 | 0.006 | 0.019 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.005 |
| Bibliometrics | 0.014 | 0.011 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".