The Effect of State Early Intervention Eligibility Policy on Participation Among a Cohort of Young CSHCN

Author:

McManus Beth1,McCormick Marie C.1,Acevedo-Garcia Dolores1,Ganz Michael12,Hauser-Cram Penny3

Affiliation:

1. Department of Society, Human Development, and Health, Harvard School of Public Health, Boston, Massachusetts

2. Abt Bio-Pharma Solutions, Inc, Lexington, Massachusetts

3. Lynch School of Education, Boston College, Boston, Massachusetts

Abstract

OBJECTIVE: This purpose of this study was to describe differences in early intervention (EI) participation according to state among a cohort of young children with parent-reported developmental delays and disabilities. METHODS: Data were obtained from the 2005–2006 National Survey of Children With Special Health Care Needs to describe state differences in EI participation. Multilevel modeling was used to estimate the relative contributions of child sociodemographic and developmental characteristics, and state EI eligibility policy on EI participation. RESULTS: The overall rate of EI participation was 45.7% (23.1%–83.3% across the states). EI participants were less likely to be Hispanic, live in a multiracial family, be poor, have a developmental delay, or have a less severe condition/delay. The predicted probability of receiving EI was lower for children who lived in states with more strict EI eligibility criteria than those with liberal criteria (.43 vs .52). Poverty influenced this association, with the adjusted probabilities of receiving EI for poor (<100% federal poverty level) and nonpoor (>185% federal poverty level) children being .18 and .36, respectively (P < .05). Among nonpoor children, those who lived in states with strict eligibility criteria were nearly as likely as poor children who lived in states with liberal eligibility criteria to receive EI (.33 vs .36; P < .05). CONCLUSIONS: The results of this study reveal marked disparities and unmet needs in EI participation as a function of both characteristics of the child and the state program. Improving developmental services for vulnerable populations requires addressing these sources of disparity.

Publisher

American Academy of Pediatrics (AAP)

Subject

Pediatrics, Perinatology, and Child Health

Reference27 articles.

1. Individuals With Disabilities Education Act (Pub L 108–446), reauthorization 2004. Available at: www.copyright.gov/legislation/pl108-446.pdf. Accessed July 20, 2008

2. US Census Bureau. Survey of income and program participation: table 7—disability status for children under 15 years old. Available at: www.census.gov/hhes/www/disability/sipp/disab02/ds02t7.pdf. Accessed April 24, 2008

3. US Department of Health and Human Services, Health Resources and Services Administration, Maternal and Child Health Bureau. The health and well-being of children: a portrait of states and the nation 2005. Available at: www.mchb.hrsa.gov/thechild/index.htm. Accessed May 10, 2007

4. Dunst C, Hamby D. States’ Part C eligibility definitions account for differences in the percentage of children participating in early intervention programs. Snapshots. 2004;1(4):1–5. Available at: www.tracecenter.info/snapshots/snapshots_vol1_no4.pdf. Accessed February 17, 2007

5. Rosenberg SA, Zhang D, Robinson CC. Prevalence of developmental delays and participation in early intervention services for young children. Pediatrics. 2008;121(6). Available at: www.pediatrics.org/cgi/content/full/121/6/e1503

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