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Record W4403679525 · doi:10.1093/pch/pxae067.028

29 A call for action - The lived experiences of caregivers of children diagnosed with Fetal Alcohol Spectrum Disorder during assessment and following diagnosis

2024· article· en· W4403679525 on OpenAlexaboutno aff
Mandeep Mahal, Gurpreet Salh, Elsie Wang, Tim F. Oberlander, Sarah M. Hutchison, Katelynn Boerner

Bibliographic record

VenuePaediatrics & Child Health · 2024
Typearticle
Languageen
FieldMedicine
TopicPrenatal Substance Exposure Effects
Canadian institutionsnot available
Fundersnot available
KeywordsFetal Alcohol Spectrum DisorderFetal alcoholAction (physics)Call to actionFetal alcohol syndromePsychologyMedicinePsychiatryDevelopmental psychologyAlcoholClinical psychologyPediatricsPregnancyChemistryBiologyGeneticsPhysics

Abstract

fetched live from OpenAlex

Abstract Background Individuals diagnosed with Fetal Alcohol Spectrum Disorder (FASD) have a heterogeneous range of neurodevelopmental impairments with lifelong impacts on functioning. In Canada, a FASD diagnosis is made through a multidisciplinary team assessment, using the 2015 Canadian FASD Diagnostic Guidelines. Studies show that early diagnosis and intervention reduces secondary FASD related disabilities and improves outcomes in adulthood. However, little has been published about accessibility of services and intervention for children diagnosed with FASD in Canada. Objectives The current study explores the lived experiences of caregivers in (1) undergoing a diagnostic assessment for FASD and (2) obtaining services and interventions for their child in the first two years following diagnosis. Using a qualitative approach, the study aimed to identify strengths and gaps in the system with respect to supporting Canadian children with FASD and their families. Design/Methods Seventy one (71) children were diagnosed with FASD/At Risk for FASD over a one year period at a tertiary Developmental Assessment Center in Canada. Through non-random convenience sampling, 18 caregivers (the child’s legal guardians: 1 biological parent, 9 adoptive parents, 6 family guardians and 2 social workers) consented to participate in semi-structured interviews. Interviews explored caregiver experiences with the FASD diagnostic process as well as access to supports and intervention services after diagnosis. Interviews were transcribed and analyzed using reflexive thematic analysis. Results The following overarching themes were identified: (1) The journey of raising a child with FASD is overwhelming for caregivers; (2) The assessment process was both affirming and disheartening for caregivers; (3) There are significant, multi-level, systemic barriers to accessing supports for children with FASD, and their caregivers; (4) Equity deserving caregivers and their children are particularly vulnerable to falling through the cracks of the medical, educational, and social systems. Within each theme, subthemes further highlight protective factors and specific gaps in the system in supporting children and their families with respect to early intervention, educational/vocational, community and family support. Conclusion Children newly diagnosed with FASD are falling through the cracks of our healthcare system. There are clear disparities in the accessibility of intervention and support for children with developmental differences, even with a diagnosis. Wrap around support is needed for children with FASD and their families, as soon as functional impairments are recognized. A formal funding and support system, based on function, is essential for all children with developmental differences - including children with FASD.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.007
metaresearch head score (Gemma)0.013
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.314
Threshold uncertainty score0.625

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.013
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0220.011
Scholarly communication0.0060.004
Open science0.0020.010
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0030.000

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.

Opus teacher head0.013
GPT teacher head0.300
Teacher spread0.287 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2024
Admission routes1
Has abstractyes

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