Using Claims Data to Map Unmet Service Needs for Early Childhood Developmental Disabilities in Virginia

利用理赔数据绘制弗吉尼亚州幼儿发育障碍未满足服务需求地图

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Abstract

BACKGROUND: Developmental disabilities (DD) affect over 10% of children 0 to 5 years of age, and early interventions are known to improve outcomes, yet barriers remain in connecting children to these services. OBJECTIVE: To identify gaps in services for young children with DD and established risk conditions in Virginia. METHODS: Data from the 2018 Virginia All Payers Claim Database and the American Community Survey were used to estimate the proportion of children with DD, and among those children, the proportion that received at least one intervention service. Logistic and binomial regression models were used to examine the socio-demographic associations with having developmental needs met, at the individual and zip code tabulation (ZCTA) level. RESULTS: Approximately 12% of children 0 to 5 years were found to have DD or established risk condition diagnosis, and only 54% of these received intervention services during that year. Individual-level analyses suggest that odds of having developmental needs met are higher among older children, boys, and children with public insurance. ZCTA-level analyses suggested higher odds of developmental needs being met in areas with higher levels of unemployment, while areas with high proportions of people with limited English proficiency and a high school education or less had lower odds of having needs met. CONCLUSIONS: Receiving early childhood developmental services in Virginia is associated with having public insurance and living in an area with higher levels of unemployment, higher education, and English-proficiency. Efforts are needed to improve delivery of services overall, specifically targeted to those areas with high levels of unmet need.

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