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Record W4384701091 · doi:10.1016/j.pedneo.2023.03.013

Concurrent validity of the ages and stages questionnaires with Bayley Scales of Infant Development-III at 2 years – Singapore cohort study

2023· article· en· W4384701091 on OpenAlex
Pratibha Agarwal, Huichao Xie, Anu Sathyan Sathyapalan Rema, Michael J. Meaney, Keith M. Godfrey, Victor Samuel Rajadurai, Lourdes Mary Daniel

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenuePediatrics & Neonatology · 2023
Typearticle
Languageen
FieldMedicine
TopicInfant Development and Preterm Care
Canadian institutionsMcGill University
FundersErasmus+National Institute for Health Research Southampton Biomedical Research CentreEuropean CommissionBritish Heart FoundationMedical Research CouncilNational Institute for Health and Care Research
KeywordsBayley Scales of Infant DevelopmentConcurrent validityCohortPsychologyDevelopmental psychologyInfant developmentTest validityPsychometricsMedicinePsychomotor learningPsychiatryCognition

Abstract

fetched live from OpenAlex

BackgroundWith increasing acceptance of universal developmental screening in primary care, it is essential to evaluate the local validity and psychometric properties of commonly used questionnaires like the parent-completed Ages and Stages Questionnaires, 3rd Edition (ASQ-3) in identifying developmental delays. The aim of this study is to assess the convergent validity of the ASQ-3 with the Bayley Scales of Infant Development-3rd edition (Bayley-III) in identifying developmental delay in a low-risk term cohort in Singapore.MethodsASQ-3 and Bayley-III data was collected prospectively with generation of ASQ-3 cut-off scores using three different criteria: 1-standard deviation (SD) (Criterion-I) or 2-SD (Criterion-II) below the mean, and using a Receiver Operator Curve (ROC) (Criterion-III). Sensitivity, specificity, positive (PPV) and negative (NPV) predictive values were calculated. Correlations between the ASQ-3 and Bayley-III domains were evaluated using Pearson coefficients.ResultsWith all three criteria across different domains ASQ-3 showed high specificity (72–99%) and NPV (69–98%), but lower sensitivity (19–74%) and PPV (11–59%). Criterion-I identified 11–21% of children as “at-risk of developmental delay,” and was the most promising criterion measure, with high specificity (82–91%), NPV (69–74%) and overall agreement of 64–71%. Moderate-strong correlations were seen between ASQ-3 Communication and Bayley-III Language scales (r = 0.44–0.59, p < 0.01). The lowest sensitivities were seen in the motor domains.ConclusionsASQ-3 is reliable in low-risk settings in identifying typically developing children not at risk of developmental delay, but it has modest sensitivity. Moderate-strong correlations seen in the communication domain are clinically important for early identification of language delay, which is one of the most prevalent areas of early childhood developmental delay. With increasing acceptance of universal developmental screening in primary care, it is essential to evaluate the local validity and psychometric properties of commonly used questionnaires like the parent-completed Ages and Stages Questionnaires, 3rd Edition (ASQ-3) in identifying developmental delays. The aim of this study is to assess the convergent validity of the ASQ-3 with the Bayley Scales of Infant Development-3rd edition (Bayley-III) in identifying developmental delay in a low-risk term cohort in Singapore. ASQ-3 and Bayley-III data was collected prospectively with generation of ASQ-3 cut-off scores using three different criteria: 1-standard deviation (SD) (Criterion-I) or 2-SD (Criterion-II) below the mean, and using a Receiver Operator Curve (ROC) (Criterion-III). Sensitivity, specificity, positive (PPV) and negative (NPV) predictive values were calculated. Correlations between the ASQ-3 and Bayley-III domains were evaluated using Pearson coefficients. With all three criteria across different domains ASQ-3 showed high specificity (72–99%) and NPV (69–98%), but lower sensitivity (19–74%) and PPV (11–59%). Criterion-I identified 11–21% of children as “at-risk of developmental delay,” and was the most promising criterion measure, with high specificity (82–91%), NPV (69–74%) and overall agreement of 64–71%. Moderate-strong correlations were seen between ASQ-3 Communication and Bayley-III Language scales (r = 0.44–0.59, p < 0.01). The lowest sensitivities were seen in the motor domains. ASQ-3 is reliable in low-risk settings in identifying typically developing children not at risk of developmental delay, but it has modest sensitivity. Moderate-strong correlations seen in the communication domain are clinically important for early identification of language delay, which is one of the most prevalent areas of early childhood developmental delay.

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.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.430

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.017
GPT teacher head0.270
Teacher spread0.253 · 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