Early Intervention Service Intensity and Change in Children's Functional Capabilities.

OBJECTIVE: To estimate correlates of early intervention (EI) service dosage and gains in children's functional capabilities from EI entry and discharge. DESIGN: Retrospective cohort study. SETTING: Secondary analyses of a subset of data (N=1005) collected from an EI administrative database on children discharged from a large, urban EI program between October 1, 2014 and September 30, 2016. PARTICIPANTS: Children who were EI eligible due to developmental delay, had received an EI care plan and at least 1 billable EI service, and had outcomes data at EI entry and exit (N=1005). Measured child characteristics included age (49.0% 12-24mo; n=492), sex (36.0% female; n=362), number of developmental delays (76.1% had 1 developmental delay; n=765), and number of EI services received (78.5% received multiple; n=789). INTERVENTION: Not applicable. MAIN OUTCOME MEASURES: Outcomes were EI service intensity (hours per month) and change in functional capabilities as measured via the state-mandated Child Outcomes Summary (COS). Adjusted quantile median regression estimated EI intensity. Adjusted linear regression estimated change in function for social-emotional, cognitive, and adaptive domains of the COS. Measures of children's developmental delay severity, age at EI entry, race and ethnicity, sex, and language. RESULTS: Children older than 24 months old experienced significantly higher EI service intensity (b=0.40; 95% confidence interval, 0.18-0.63). Child age and EI service intensity were significantly linked to gains in social and cognitive COS score changes from EI entry to exit. CONCLUSIONS: Older children receive a higher intensity of EI services. EI service intensity and age were linked with positive changes in functional gains.

Community engagement to pilot electronic patient-reported outcomes (e-PROs) in early intervention: Lessons learned.

BACKGROUND: Electronic data capture is essential to advancing family-centered coordinated care in early intervention (EI). The purpose of this paper is to report on EI service coordinator response to piloting an electronic parent-reported outcome (e-PRO) assessment as part of their routine workflow, including lessons learned that may inform future phases of e-PRO implementation. METHODS: This second pilot study involved families enrolled in a large EI program (n=1040 families) in concert with their implementation of a statewide quality improvement initiative for care plan development and outcomes reporting. A total of 22 EI service coordinators and supervisors were engaged in three phases: initial e-PRO intervention, peer mentor enhancement, and standard recruitment protocol. RESULTS: Implementation of the e-PRO intervention and peer mentoring enhancement yielded low enrollment rates over the first six months (n=17). A standard recruitment protocol has resulted in enrollment growth (n=83) towards the targeted enrollment rate (n=832). CONCLUSIONS: This study reports on early insights for building and sustaining a productive academic-community partnership for e-PRO implementation to support family-centered coordinated care. Lessons learned from this academic-community partnership with respect to strategies for enhancing community significance, collaboration, return, and control are discussed as they inform further development of this intervention prior to scale-up.

Technology-based functional assessment in early childhood intervention: a pilot study.

BACKGROUND: Electronic patient-reported outcomes (e-PROs) may provide valid and feasible options for obtaining family input on their child's functioning for care planning and outcome monitoring, but they have not been adopted into early intervention (EI). The purpose of this pilot study was to evaluate the feasibility of implementing technology-based functional assessment into EI practice and to examine child, family, service, and environmental correlates of caregiver-reported child functioning in the home. METHODS: In a cross-sectional design, eight individual EI providers participated in a 90-min technology-based functional assessment training to recruit participants and a 60-min semi-structured focus group post data collection. Participants completed the Young Children's Participation and Environment Measure (YC-PEM) home section online and Pediatric Evaluation of Disability Inventory Computer Adaptive Test (PEDI-CAT) via iPad. Participants' EI service use data were obtained from administrative records. RESULTS: A total of 37 caregivers of children between 6 and 35 months old (mean age = 19.4, SD = 7.7) enrolled, a rate of 44% (37/84) in 2.5 months. Providers suggested expanding staff training, gathering data during scheduled evaluations, and providing caregivers and providers with access to assessment summaries. Caregivers wanted their child's participation to change in 56% of home activities. Lower caregiver education and higher EI intensity were related to less child involvement in home activities. CONCLUSIONS: Implementing technology-based functional assessment is feasible with modifications, and these data can be useful for highlighting child, family, and EI service correlates of caregiver-reported child functioning that merit further study. Feasibility results informed protocol modifications related to EI provider training, timing of data collection, and management of EI service use data extraction, as preparation for a subsequent scale-up study that is underway.