Executive function and preterm birth: A longitudinal study.

Infants born low birth weight (LBW) and preterm are at risk for developmental delay and cognitive deficits. These deficits can lead to lifelong learning difficulties and high-risk behaviors. Preterm (PT) and full-term (FT) groups were compared across infant and toddler measures of behavior and development to extract early indicators of executive function (EF). The goal was to extract indicators of EF from standardized infant assessments. PT (<2500 grams and <37 weeks) and FT (> 2500 grams and >37 weeks) were compared across assessment and EF components were identified from the BSID-III. A multivariate linear model was used to examine group differences. All children (99 PT and 46 FT) were administered the Bayley III and the DMQ assessments for session 1 (6-8 months). During session 2, N=78 PT and 37 FT (18-20 months), the CBCL was added to previous assessments, and the BRIEF-P was added to previous assessments in session 3, N= 52 PT and 36 FT for session 3 (See Table 1). Significant change scores were found on BSID-III subtests and EF components across all 3 sessions. The PT group also showed significantly more behavioral concerns on the CBCL at 18 months and 36 months and had lower scores on the BRIEF-P than their FT peers. The number of children born PT (N = 27, 52%) who were in Early Intervention (EI) increased across the 3 sessions. Examining early indicators of EFs supported the development of early identification that could lead to decrease adverse outcomes often associated with preterm birth.

Early Intervention Referral Outcomes for Children at Increased Risk of Experiencing Developmental Delays.

OBJECTIVES: The primary goal was to examine outcomes of Part C early intervention (EI) referrals from a high-risk infant follow-up program and factors associated with success. A secondary aim was to determine how many referred children not evaluated by EI would have likely qualified by either automatically meeting state eligibility criteria with a condition associated with "high-probability" for developmental delays or having test scores evidencing developmental delays. METHODS: Participants included 77 children referred directly to EI from a high-risk infant follow-up program. Scores on the Bayley Scales of Infant and Toddler Development-III, basic demographics, and medical variables were extracted from electronic medical records. Information regarding referral outcomes was gathered via follow-up phone calls to EI programs several months after referral. RESULTS: Results indicate 62% of EI referrals resulted in evaluation, with 69% of those evaluated being found eligible for services. Overall, 34% of referrals resulted in EI enrollment. Of those who were not evaluated, 71% were likely to have qualified based on state eligibility criteria. Follow-up phone call results indicated the majority of families not evaluated (64%) were never successfully contacted by the EI program. CONCLUSIONS: Findings from the present study illustrate the extent of challenges in connecting families with needed EI services and indicate an opportunity for improvement in EI referral processes to increase enrollment for eligible children. Improved communication between referral sources and service providers could support enrollment with detailed documentation of prior testing and explicit reasons for referral. Follow-up calls to confirm receipt of referral may also be necessary.

Part C Early Intervention Enrollment in Low Birth Weight Infants At-Risk for Developmental Delays.

Objectives To investigate enrollment patterns in Part C Early Intervention (EI) for low birth weight (LBW) infants (≤2500 g). A secondary aim is to characterize LBW infants that are not enrolled in EI, but would qualify by meeting criteria for a condition associated with a "high-probability" for developmental delays (i.e., Intraventricular Hemorrhage grade III or higher, Apgar score of ≤5 at 5 min, and/or birth weight of ≤1200 g). Methods Data were gathered from 165 LBW infants participating in a high-risk infant follow-up program. Developmental assessment was completed. Basic demographic information and data regarding enrollment in EI were collected via parent questionnaire. Medical variables were extracted from each infant's electronic medical record. Results 71.5 % of LBW infants were not enrolled in EI. Factors influencing probability of EI enrollment included birth weight, gestational age, developmental test scores, and insurance status. Of the 107 infants living in Oregon who were not enrolled in EI, 42.1 % would qualify for services due to an early medical condition identified in Oregon as a condition associated with a "high-probability" for developmental delays. Conclusions Less than one third of LBW infants were enrolled in EI by their first visit to a high-risk infant follow-up program. Those infants demonstrating developmental delays and public insurance were more likely to be enrolled. The majority of infants who have readily identifiable medical risk factors that qualify them for EI were not enrolled. This study was limited by the constraints implicated by using a clinical sample.