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Record W2761957775 · doi:10.1093/pch/20.5.e96a

173: The Pediatric Developmental Passport: How to Ensure Families are Accessing the Right Care

2015· article· en· W2761957775 on OpenAlexaffabout
Elizabeth Young, N Bechard, Ramanan Aiyadurai, Thivia Jegathesan, Sarah Hughes

Bibliographic record

VenuePaediatrics & Child Health · 2015
Typearticle
Languageen
FieldNeuroscience
TopicAutism Spectrum Disorder Research
Canadian institutionsSt. Michael's Hospital
Fundersnot available
KeywordsMedicineFamily medicineIntervention (counseling)Autism spectrum disorderRandomized controlled trialAgency (philosophy)Test (biology)PediatricsAutismNursingPsychiatry

Abstract

fetched live from OpenAlex

The Pediatric Developmental Passport (Passport) is an ongoing initiative that aims to develop, assess and implement a tool that is designed to be used jointly by pediatricians and families with a child who has received a new developmental diagnosis of Autism Spectrum Disorder (ASD). Previous research projects have led to the design of the Passport. The aim of this phase of the study is to pilot test the passport in a pediatric setting to determine its usability among families with a child diagnosed with ASD between 0–6 years of age. A pragmatic randomized controlled trial was conducted. Children referred for a developmental assessment and diagnosed with ASD between 0–6 were randomized to receive the passport (intervention) or the placebo (control). All families were followed for one year. Primary outcome was time of first contact with developmental agency. Secondary outcomes included 1) length of time it takes families to meet the agency directly and 2) proportion of total recommendations accessed by families. Additional exploratory outcomes were 1) patient satisfaction and 2) impact of socio-economic status on the effect of the passport on primary and secondary outcomes. The passport is currently being evaluated at multiple pediatric sites. Preliminary results reveal forty-one percent of families were Non-Canadian born who predominantly came from Asia. Families were predominantly Caucasian (41%), Asian (29%), and African American (12%). The income status of families were evenly distributed with 29% families making less than $24000, between $50, 00–74,999 and above $100,000. Although all families in both groups accessed Applied Behavior Analysis (ABA) services, families from the passport group contacted services in significantly less time (9 days vs 14 days). The passport allowed pediatricians to discover that early intervention services and speech and language pathology (services recommended by developmental pediatricians) were more often accessed prior to a diagnosis due to community endorsement. The developmental pediatricians felt the passport helped increase their efficiency at communicating recommendations to families. All families were highly satisfied with the passport and reported it to reduce stress and anxiety. The passport is an innovative practical tool that has shown proof of concept and usability among families diagnosed with ASD and developmental pediatricians. Further evaluation of the passport at the general pediatric level is being planned. We would also like to adapt the passport into a mobile application or online application, as suggested by caregivers.

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)0.009
metaresearch head score (Gemma)0.026
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.024
Threshold uncertainty score0.079

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.026
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0020.002
Open science0.0020.004
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0240.004

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 head0.039
GPT teacher head0.306
Teacher spread0.267 · 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 designNot applicable
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
Published2015
Admission routes2
Has abstractyes

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