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From Descriptive to Predictive: Linking Early Childhood Developmental and Behavioral Screening Results With
Lauren E Schlichting1, Patrick M Vivier1, Blythe Berger2
1Hassenfeld Child Health Innovation Institute (LE Schlichting and PM Vivier), Brown University, Providence, RI.
Insights
Early developmental and behavioral screening in young children predicts kindergarten academic performance. Children with positive screens showed lower STAR Early Literacy exam scores, highlighting the value of early identification for school readiness.
Area of Science:
- Pediatric Development
- Educational Psychology
- Public Health
Background:
- Early identification of developmental and behavioral concerns is crucial for timely intervention.
- Linking pediatric screening data with educational assessments can provide valuable insights into school readiness.
- The Survey of Well-being of Young Children (SWYC) is a tool used in pediatric settings to assess development and behavior.
Purpose of the Study:
- To evaluate the predictive accuracy of a pediatric screening tool.
- To link educational and pediatric databases for a comprehensive analysis.
- To determine if early developmental and behavioral screening predicts kindergarten academic outcomes.
Main Methods:
- Linked data from the SWYC and STAR Early Literacy examinations.
- Utilized linear multilevel regression modeling.
- Analyzed data from 586 diverse children, adjusting for confounders.
Main Results:
- Children with positive developmental or behavioral screens had significantly lower STAR Early Literacy exam scores.
- Early screening results predicted kindergarten performance.
- The findings were significant after adjusting for confounding factors.
Conclusions:
- Early developmental and behavioral screening effectively predicts kindergarten academic performance.
- Children with identified concerns may be less prepared for kindergarten.
- Developmental screening tools show potential for identifying children needing pre-kindergarten intervention to improve school readiness.
Objective:
To assess the predictive value of a pediatric screening tool by linking 2 independent databases: an educational database that includes data from standardized academic assessments administered during kindergarten and a pediatric database that includes screening results.
Methods:
A database that includes results of the Survey of Well-being of Young Children (SWYC) completed during pediatric visits were linked to an educational database that includes STAR Early Literacy examinations in kindergarten. Linear multilevel regression modeling was used to examine if screening results on the developmental and behavioral sections of the most recently completed SWYC form predicted trends in the percentile rank on the STAR exam over the school year, adjusting for potential confounders.
Results:
Linking the 2 databases resulted in a sample of 586 children who were administered at least one SWYC evaluation between 24 and 48 months and completed at least one STAR Early Literacy examination in kindergarten. The sample represents a diverse population with 55% Hispanic children, 25% Non-Hispanic black children, and 91% of children receiving a subsidized lunch. After adjusting for confounders, children with a positive developmental or behavioral screen had significantly lower percentile ranks on the STAR exam.
Conclusions:
Early developmental and behavioral screening results predicted performance on the STAR exam in kindergarten. Children with developmental and behavioral concerns may be less ready to enter kindergarten than peers without such concerns. These preliminary findings provide proof-of-principle of the potential utility of developmental screening tools in identifying children with reduced school readiness who may benefit from intervention prior to kindergarten.
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