These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


Pubmed for Handhelds

PUBMED FOR HANDHELDS

Search MEDLINE/PubMed

  • Title: Predictive utility of the Bayley Infant Neurodevelopmental Screener (BINS) risk status classifications: clinical interpretation and application.
    Author: Aylward GP, Verhulst SJ.
    Journal: Dev Med Child Neurol; 2000 Jan; 42(1):25-31. PubMed ID: 10665972.
    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.
    [Abstract] [Full Text] [Related] [New Search]