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Record W2762907523 · doi:10.1093/pch/19.6.e35-174

178: A New Tool for Improving Access to Developmental Service: The Developmental Passport

2014· article· en· W2762907523 on OpenAlexaff
Carol L. Brown, MC Tassone, E Lung, Joelene Huber, Joseph Maguire, Elizabeth Young

Bibliographic record

VenuePaediatrics & Child Health · 2014
Typearticle
Languageen
FieldHealth Professions
TopicAdolescent and Pediatric Healthcare
Canadian institutionsSt. Michael's Hospital
Fundersnot available
KeywordsDevelopmental MilestoneFeelingService (business)Thematic analysisMedicinePsychologyDevelopmental psychologyQualitative researchSocial psychology

Abstract

fetched live from OpenAlex

Receiving a new developmental diagnosis is challenging for families. The considerable variability in how long it takes families to access services and the proportion of services families receive reflects challenges families face in navigating and accessing the right developmental services. To determine how developmental pediatricians can better support families with a new developmental diagnosis to access the right developmental services. To develop a new tool designed to better support these families through iterative dialogue with both physicians and families. We conducted a written survey with developmental pediatricians to elicit concerns on whether families are accessing the right developmental services and to determine the features of an ideal standardized instrument. We used this feedback to develop a new tool, the Developmental Passport, designed to better support parents while accessing services. This tool is inspired by existing passport-type tools already used in healthcare (eg, immunization record), but tailored for the needs of families with a new developmental diagnosis. We conducted a focus group with developmental pediatricians and standardized telephone interviews with caregivers of children with ASD to evaluate the design and utility of the Developmental Passport. We performed a thematic analysis with a semantic approach. Among the 14 developmental pediatricians, half felt that families are usually able to access fewer than 50% of developmental services recommended. The physicians recognized important barriers exist to service access, but indicated families can best identify these. Important barriers identified by 11 caregivers included 1) feeling overwhelmed, both by the diagnosis and their child's symptom severity; 2) difficulty in navigating the developmental service system, which is archaic, time-consuming, and not transparent; 3) financial barriers; 4) lack of communication with publicly-funded developmental service agencies. To provide family-centered care, physicians suggested parents should take ownership of the Developmental Passport. Families supported the Developmental Passport as a simple, effective tool. They made concrete suggestions on the tool's design including best organization of agency presentation and greater focus on accessing financial support. The final tool is a product of an iterative dialogue among the tool's developers, developmental pediatricians, and caregivers. Families are struggling to access the right services. Both developmental pediatricians and families supported the Developmental Passport in its current form and believe it will be an effective tool to both identify and address these gaps. Further evaluation of the Developmental Passport is required to determine its utility prospectively.

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)0.014
metaresearch head score (Gemma)0.067
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 score0.017
Threshold uncertainty score0.076

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0140.067
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0080.003
Science and technology studies0.0010.001
Scholarly communication0.0030.008
Open science0.0020.006
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0170.004

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 head0.061
GPT teacher head0.389
Teacher spread0.328 · 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
Published2014
Admission routes1
Has abstractyes

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