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Record W4406526359 · doi:10.3390/children12010105

A Survey of Parents’ Perspective of Receiving a Developmental Diagnosis for Their Child

2025· article· en· W4406526359 on OpenAlexaff
Stacey Miller, Maria Juricic, Jaimy Coates, Jeffrey N. Bone, Ash Sandhu, Kishore Mulpuri, Maureen O’Donnell

Bibliographic record

VenueChildren · 2025
Typearticle
Languageen
FieldPsychology
TopicFamily and Disability Support Research
Canadian institutionsSunny Hill Health Centre for ChildrenBC Children's HospitalUniversity of British Columbia
Fundersnot available
KeywordsPerspective (graphical)Developmental psychologyPsychologyPediatricsMedicineComputer scienceArtificial intelligence

Abstract

fetched live from OpenAlex

Receiving a diagnosis, such as cerebral palsy (CP), can have lasting impacts on caregivers and families. Previous literature has described that caregivers wish to receive a diagnosis together, without delay, in a private, direct, honest, and sympathetic way. This study aimed to understand the experience of caregivers of children with cerebral palsy (CP) or similar conditions when receiving a diagnosis for their child.: Caregivers of children and youth aged 0-18 years with CP or a similar physical condition completed a survey investigating who first provided a diagnosis, and the way it was provided. Questions were based on the pediatric SPIKES framework. Caregivers were asked how receiving a diagnosis could have been improved. Thematic analysis of qualitative data were performed.: A total of 180 surveys were completed. Mean age at diagnosis was 19.0 (SD 25.7) months. Most caregivers reported the healthcare provider was sympathetic and understanding (75%) and clear and direct (69%). Only 25% of caregivers recalled being directed to where to find information; only 37% reported being told what their child does well or is expected to do well. Thematic analysis revealed three themes: (1) less waiting, (2) more compassionate communication, and, (3) information and support to move forward: Caregivers wanted the diagnosis to be timely and provided with compassion. Requests for greater information on the diagnosis, available support, and their child's future, suggest that greater care to support families in the aftermath of receiving a diagnosis is also needed.

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)0.005
metaresearch head score (Gemma)0.016
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 score0.012
Threshold uncertainty score0.026

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.016
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0010.002
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.053
GPT teacher head0.365
Teacher spread0.312 · 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

Citations3
Published2025
Admission routes1
Has abstractyes

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