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Predictive utility of the Bayley Infant Neurodevelopmental Screener (BINS) risk status classifications: clinical interpretation and application

Published online by Cambridge University Press:  01 January 2000

Glen P Aylward
Affiliation:
Division of Developmental and Behavioral Pediatrics, Southern Illinois University School of Medicine, Springfield, IL, USA.
Steven J Verhulst
Affiliation:
Division of Statistics and Research Design, Southern Illinois University School of Medicine, Springfield, IL, USA.
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Abstract

Predictive validity and clinical implications of the increasingly popular Bayley Infant Neurodevelopmental Screener (BINS) risk status classifications have not been previously reported. In this longitudinal follow-up study, the BINS was administered to high-risk infants at 6, 12, and 24 months of age, and the McCarthy Scales at 3 years of age. Ninety-two children were evaluated at 6 and 36 months, 105 at 12 and 36 months, and 118 at 24 and 36 months; 190, 125, and 140 infants were included in the comparisons at 6 to 12, 6 to 24, and 12 to 24 months. BINS risk status was classified as low, moderate, or high; or as a binary variable, LOWRISK/HIGHRISK. The three BINS items groups were moderately correlated. Consistency was most variable in the moderate-risk group. BINS risk was predictive of 36-month function in 18 out of 18 comparisons. Odds ratios, ranging from 2.76 to 54.70, were significant in 15 out of 18 logistic models. An early high-risk classification was associated with increased probability of later developmental morbidity. The BINS offers an alternative to detailed assessment in high-volume clinical applications and has good concurrent and predictive validity.

Type
Original Articles
Copyright
© 2000 Mac Keith Press

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