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Record W4406970932 · doi:10.1016/j.ridd.2025.104918

Families’, practitioners’, and researchers’ experience in the trajectory for the diagnostic evaluation of developmental disorders in young children

2025· article· en· W4406970932 on OpenAlexafffundabout
Nadia Abouzeid, Mélina Rivard, Claudine Jacques, Catherine Mello, Nikolas Parent-Poisson, Élodie Hérault, Geneviève Saulnier

Bibliographic record

VenueResearch in Developmental Disabilities · 2025
Typearticle
Languageen
FieldPsychology
TopicFamily and Disability Support Research
Canadian institutionsUniversité du Québec en OutaouaisCégep de l'OutaouaisUniversité du Québec à Montréal
FundersFonds de Recherche du Québec - Santé
KeywordsPsychologyDevelopmental psychologyDevelopmental disorderDiagnostic Classification of Mental Health and Developmental Disorders of Infancy and Early ChildhoodClinical psychologyPediatricsAutismPsychiatryMedicine

Abstract

fetched live from OpenAlex

BACKGROUND: A collaborative initiative was undertaken to restructure diagnostic and support services for developmental disabilities (DD) in young children in the province of Québec. Representatives from multiple stakeholder groups, including researchers, parents, and clinicians, shared insights based on their experiences with diagnostic evaluation services. AIMS: The present study documented stakeholders' experiences with existing DD services, with a focus on identifying barriers, facilitators, and gathering actionable recommendations for the creation of a new model for diagnostic evaluation. METHOD: Twenty-nine stakeholders shared their experiences in focus group and individual interviews. Their discourse was analyzed according to the quality determinants of the ETAP framework (Rivard et al., 2020) and categorized as barriers, facilitators, or recommendations. RESULTS: Stakeholders described several barriers related to continuity and accessibility within the current system but also discussed some facilitators that promoted, e.g., the accessibility and validity of services. They made several recommendations to improve upon or clarify existing elements and identified what could be added. CONCLUSIONS: These testimonials from stakeholders emphasize the need to conceptualize the DD service trajectory as a whole. This will require improving upon information-sharing and collaboration practices, formalizing procedures, and adding case navigation and parent support modalities.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.015
metaresearch head score (Gemma)0.012
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.326
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0150.012
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0000.003
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.242
GPT teacher head0.477
Teacher spread0.236 · 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 teacher head, not a consensus.

Study designObservational
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

Citations2
Published2025
Admission routes3
Has abstractyes

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