Anticipatory guidance for children and adolescents with Fetal Alcohol Spectrum Disorder (FASD): practice points for primary health care providers.
Bibliographic record
Abstract
BACKGROUND: Fetal Alcohol Spectrum Disorder (FASD) is an umbrella term that describes the range of effects that can occur in an individual who was prenatally exposed to alcohol and includes an array of complex neurodevelopmental and physical findings. OBJECTIVES: To give primary healthcare providers (PHCP) evidence-based recommendations for supporting and managing the symptoms of FASD after patients have received a diagnosis. MethodsPrimary health recommendations for the management of children and adolescents with FASD were developed based on expert clinical judgment and supported by evidence-based research, where appropriate. The format was adapted from other health supervision practice guidelines as developed by the American Academy of Pediatrics. Clinical practice "Points" for the PHCP are highlighted. A reference table of anticipatory recommendations by age is presented. RESULTS: In most cases, the initial screening and referral for diagnosis will be made by the PHCP, and they will be responsible for ongoing management. It is anticipated that these recommendations will provide the PHCP with evidence to support the longitudinal health care of children and adolescents with FASD and their families as they transition throughout all developmental stages. CONCLUSION: There is a pressing need for the involvement of PHCP in the active care of children and adolescents with FASD and their families over the lifespan. PHCP are trained in screening, prevention, and management of health needs, and are in the position to coordinate sub-specialty referrals as needed. Engaging PHCP will provide a truly integrated care system for individuals with FASD and their families.
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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 | 0.009 | 0.038 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.004 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.007 | 0.008 |
| Insufficient payload (model declined to judge) | 0.010 | 0.002 |
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".