Bayley scales of infant development screening test-gross motor subtest

Efficacy in determining need for services

Research output: Contribution to journalArticle

14 Citations (Scopus)

Abstract

Purpose: To identify the efficacy of the Bayley Scales of Infant and Toddler Development, Third Edition (BSID-III), Screening Test-Gross Motor Subtest (GMS) in identifying infants who are accepted for early intervention services. Methods: This retrospective study included 93 infants with a neonatal intensive care experience who participated in a 6-month developmental assessment follow-up visit. All infants were examined using the BSID-III Screening Test-GMS and the Alberta Infant Motor Scale. A binary logical regression analysis was used to determine the best predictors of acceptance status in this sample. Results: The BSID-III Screening Test-GMS accounted for a significant portion of the variance in acceptance status. Conclusion: The results suggest that the BSID-III Screening Test-GMS has great applicability for transdisciplinary/interdisciplinary teams as it effectively identified children who were eligible for early intervention.

Original languageEnglish (US)
Pages (from-to)58-62
Number of pages5
JournalPediatric Physical Therapy
Volume24
Issue number1
DOIs
StatePublished - Jan 9 2012

Fingerprint

Child Development
Neonatal Intensive Care
Alberta
Retrospective Studies
Regression Analysis

Keywords

  • early intervention
  • female
  • humans
  • male
  • motor skills
  • neuropsychological tests/standards
  • neuropsychological tests/statistics & numerical data
  • predictive value of tests
  • preschool child
  • preterm infant
  • risk factors
  • time factors

ASJC Scopus subject areas

  • Pediatrics, Perinatology, and Child Health
  • Physical Therapy, Sports Therapy and Rehabilitation

Cite this

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title = "Bayley scales of infant development screening test-gross motor subtest: Efficacy in determining need for services",
abstract = "Purpose: To identify the efficacy of the Bayley Scales of Infant and Toddler Development, Third Edition (BSID-III), Screening Test-Gross Motor Subtest (GMS) in identifying infants who are accepted for early intervention services. Methods: This retrospective study included 93 infants with a neonatal intensive care experience who participated in a 6-month developmental assessment follow-up visit. All infants were examined using the BSID-III Screening Test-GMS and the Alberta Infant Motor Scale. A binary logical regression analysis was used to determine the best predictors of acceptance status in this sample. Results: The BSID-III Screening Test-GMS accounted for a significant portion of the variance in acceptance status. Conclusion: The results suggest that the BSID-III Screening Test-GMS has great applicability for transdisciplinary/interdisciplinary teams as it effectively identified children who were eligible for early intervention.",
keywords = "early intervention, female, humans, male, motor skills, neuropsychological tests/standards, neuropsychological tests/statistics & numerical data, predictive value of tests, preschool child, preterm infant, risk factors, time factors",
author = "Jackson, {Barbara J} and Needelman, {Howard William} and Roberts, {Holly Jean} and Sandy Willet and Carol McMorris",
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N2 - Purpose: To identify the efficacy of the Bayley Scales of Infant and Toddler Development, Third Edition (BSID-III), Screening Test-Gross Motor Subtest (GMS) in identifying infants who are accepted for early intervention services. Methods: This retrospective study included 93 infants with a neonatal intensive care experience who participated in a 6-month developmental assessment follow-up visit. All infants were examined using the BSID-III Screening Test-GMS and the Alberta Infant Motor Scale. A binary logical regression analysis was used to determine the best predictors of acceptance status in this sample. Results: The BSID-III Screening Test-GMS accounted for a significant portion of the variance in acceptance status. Conclusion: The results suggest that the BSID-III Screening Test-GMS has great applicability for transdisciplinary/interdisciplinary teams as it effectively identified children who were eligible for early intervention.

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