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Predictive utility of the Bayley Infant Neurodevelopmental Screener (BINS) risk status classifications: clinical interpretation and application
Author(s) -
Aylward Glen P,
Verhulst Steven J
Publication year - 2000
Publication title -
developmental medicine and child neurology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.658
H-Index - 143
eISSN - 1469-8749
pISSN - 0012-1622
DOI - 10.1111/j.1469-8749.2000.tb00021.x
Subject(s) - bayley scales of infant development , predictive validity , logistic regression , odds ratio , medicine , odds , pediatrics , risk factor , clinical psychology , psychiatry , cognition , psychomotor learning
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.