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Record W2099784079 · doi:10.1542/peds.2008-2051

Lowering Developmental Screening Thresholds and Raising Quality Improvement for Preterm Children

2009· article· en· W2099784079 on OpenAlexaff
Kevin Marks, Hollie Hix‐Small, Kathy Clark, Judy Newman

Bibliographic record

VenuePEDIATRICS · 2009
Typearticle
Languageen
FieldMedicine
TopicInfant Development and Preterm Care
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsMedicineReferralPediatricsIntervention (counseling)Family medicinePsychiatry

Abstract

fetched live from OpenAlex

OBJECTIVES: To determine: 1) if preterm children were referred, identified and received early intervention (EI)/ early childhood special education (ECSE) services at rates equivalent to term children after implementation of a universal, periodic Ages and Stages Questionnaire (ASQ) surveillance and screening system; 2) if pediatricians sufficiently lowered their screening thresholds with preterm children;and 3) if quality improvement opportunities exist. PATIENT AND METHODS: Secondary analysis was performed on 64 lower-risk, mostly late-preterm and 1363 term children who originally presented to their 12- or 24-month well- visits. Higher-risk preemies already involved with an EI agency/ identified with a delay were excluded. Board-certified pediatricians (N=18), and nurse practitioners (N = 2), blind to the ASQ results, were secondary participants. Differences between preterm and term developmental agency referrals were examined comparing Pediatric Developmental Impression to the ASQ under natural clinic conditions using a combined in-office or mail-back data collection protocol. Medical record and county EI/ECSE follow-up outcomes were conducted at 36 to 60 months. RESULTS: At 12 and 24 months, preterm (versus term) referral rates were 9.5%(versus 5.6%) with Pediatric Developmental Impression and 26.2% (versus 8.1%) with the ASQ. By 36 to 60 months, 37.5% of preterm (20.8% term) children were referred to EI/ECSE; of which, 50.0% of preterm (42.4% term) children were eligible for services, 54.2%of preterm children were identified with a developmental-behavioral disorder and 29.2% of preterm (20.8% term) children did not follow-up. For ASQ-only preterm referrals,55.6% were subsequently diagnosed with a developmental delay and/or disorder.Preterm children were 2 times more likely to be eligible than term children [corrected]. CONCLUSIONS: Combined referral, quality improvement and outcome data suggests that clinicians should lower their threshold for administering a psychometrically sound developmental screen when providing surveillance for ex-preemies. Quality improvement opportunities exist with diligent developmental surveillance and a more collaborative, standardized, reliable and interpersonal referral process.

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)0.011
metaresearch head score (Gemma)0.050
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 score0.016
Threshold uncertainty score0.060

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0110.050
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.001
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 head0.028
GPT teacher head0.301
Teacher spread0.273 · 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

Citations57
Published2009
Admission routes1
Has abstractyes

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