Validation of key Denver Developmental Screening Test items: a preliminary study.

Area of Science:

• Pediatrics
• Developmental Psychology
• Public Health

Background:

• The Denver Developmental Screening Test (DDST) is a widely used tool for assessing child development.
• Efficient and accurate screening is crucial for early identification of developmental delays.
• Optimizing the DDST can improve resource allocation and reduce unnecessary referrals.

Purpose of the Study:

• To identify a minimal subset of Denver Developmental Screening Test (DDST) items that accurately screen children from birth to 6 years.
• To validate this subset across diverse populations, including high-risk groups.
• To establish guidelines for efficient DDST administration and interpretation.

Main Methods:

• Binary integer programming was employed to analyze DDST item data from a large cohort (n=2343).
• Sequential validation studies were conducted with independent samples (n=113 and n=180).
• Statistical analysis focused on identifying items that maximized the detection of abnormal and questionable DDST results.

Main Results:

• A core set of 39 DDST items was identified, covering all age ranges and developmental domains.
• This 39-item subset demonstrated high accuracy in identifying abnormal (100%) and abnormal/questionable (91.7-97.9%) DDST results across studies.
• Administration requires an average of only four items per age, significantly streamlining the screening process.

Conclusions:

• The identified 39 key DDST items provide a valid and efficient method for developmental screening in young children.
• This optimized subset can help reduce overreferrals in primary care settings, particularly for low-income populations.
• Accurate administration according to the DDST manual is essential for the reliability of the key item subset.