Health-care Use and Expenditures for Children in Special Education with Special Health-care Needs: is Dual Classification a Marker for High Use?

Overview

Journal Public Health Rep

Publisher Sage Publications

Specialty Public Health

Date 2007 Jul 21

PMID 17639657

Citations 6

Authors

Laura Sices

Jeffrey S Harman

Kelly J Kelleher

Affiliations

Soon will be listed here.

Abstract

Objectives: Children with special health-care needs are an important group for policy and research planning. Special education engages a group of children with increased utilization of services related to education. While increased service utilization in education or health-care settings is often used to classify children as having special needs, considerable heterogeneity exists within each group. The extent to which being identified in two functionally defined systems--special education and health care--relates to health-care utilization is unknown. We sought to determine health-care and mental health utilization and expenditures for children dually classified as receiving special education and having special health-care needs (SHCN) compared with those who only have SHCN, only are in special education, or don't fall into either category.

Methods: A nationally representative sample of children aged 5-17 years from the Medical Expenditure Panel Survey was used to compare mean health-care and mental health utilization and expenditures for the four groups.

Results: Dually classified children had significantly higher mean utilization of health-care services than the other three groups (p < 0.05). Mean 12-month total health-care expenditures were highest for dually classified children ($3,891/year) (p < 0.05) and higher for children classified only as having SHCN ($1,426/year) than for children with neither classification ($644/year, p < 0.05).

Conclusions: Children dually classified as receiving special education and having SHCN represent a subgroup of children with SHCN with high levels of health-care utilization and expenditures. This information can assist policy makers in identifying characteristics that place children at risk for very high expenditures, and in allocating health-care resources.

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