Cervantes PE, Matson JL, Peters WJ. An abbreviated scoring algorithm for the baby and infant screen for children with autism traits.
Dev Neurorehabil 2017;
20:287-293. [PMID:
27715370 DOI:
10.1080/17518423.2016.1211189]
[Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
Abstract
PURPOSE
Autism spectrum disorder (ASD) screening is recommended for all children aged 18-24 months. However, healthcare providers may be burdened with the responsibility of conducting these screens in addition to necessary services. Therefore, developing a time-efficient screener with sound psychometric properties is essential.
METHODS
This study sought to update the abbreviated scoring algorithm of the Baby and Infant Screen for Children with aUtIsm Traits (BISCUIT) and increase its clinical utility. Six thousand and three children with ASD or atypical development enrolled in an early intervention program participated.
RESULTS
A 6-item algorithm with a cutoff score of 3 was found to be optimal and yielded a sensitivity of 0.960 and a specificity of 0.864.
CONCLUSION
Sensitivity and specificity estimates were similar to that of the complete BISCUIT-Part 1; thus, the 6-item algorithm can reliably differentiate children at-risk for ASD requiring further assessment. The algorithm appears to be a promising tool for early identification.
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