Development and initial testing of the BABY-BISCUIT in an at-risk population

Johnny L Matson1, Megan M Callahan1, Joshua J Montrenes1

  • 1Louisiana State University, Baton Rouge, United States.

Insights

The BABY-BISCUIT is a new, brief autism spectrum disorder (ASD) screener. It shows high sensitivity for early identification, suggesting its potential for further ASD assessment needs.

Area of Science:

  • Developmental Pediatrics
  • Child Psychology
  • Autism Spectrum Disorder Research

Background:

  • Early identification of autism spectrum disorder (ASD) is crucial for timely intervention.
  • Current autism screeners lack consensus due to variable sensitivity and specificity.
  • There is a need for brief, effective screening tools for young children.

Purpose of the Study:

  • To develop and evaluate the utility of the BABY-BISCUIT, a novel six-item autism screener.
  • To assess the BABY-BISCUIT's performance in a sample of at-risk toddlers.
  • To establish the psychometric properties of the BABY-BISCUIT for early ASD detection.

Main Methods:

  • The study involved 504 toddlers aged 17-39 months, identified as at-risk.
  • Data were collected during annual screenings within the Louisiana EarlySteps program.
  • Exploratory factor analysis was used to examine the screener's structure.

Main Results:

  • Exploratory factor analysis confirmed a one-factor solution for the BABY-BISCUIT.
  • The screener demonstrated 100.0% sensitivity for detecting potential ASD.
  • Specificity was 33.3% with an optimal cutoff score of 1 (AUC = 0.957).

Conclusions:

  • The BABY-BISCUIT shows promise as a short, easily administered screener for autism spectrum disorder.
  • Findings suggest the BABY-BISCUIT can help determine the necessity of further ASD assessment.
  • Further research is recommended to validate the BABY-BISCUIT against established ASD measures.
Abstract

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