Low-Income Households of Children With Autism and the Economic Safety Net

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Abstract

Objective: This paper examines the distribution, parameters, and determinants of safety net program use among a nationally representative sample of low-income children with autism spectrum disorder (ASD). Methods: We used data from the 2021 National Survey of Children's Health to produce population estimates of material hardship and safety net program use among 554 low-income households of children with ASD, ages 3 to 17 years, relative to 2831 children with other special health care needs (SHCN) and 8758 children with no SHCN of the same age. Design-adjusted multivariate logistic regression models identified predictors of cash assistance, Supplemental Nutrition Assistance Program, and disconnection from both. Results: There were few significant differences in material hardship between children with ASD and those with other SHCN, although children with ASD experienced significantly higher levels of hardships compared to children with no SHCN. Having a child with ASD did not significantly increase the odds of safety net use. Health insurance and household income were stronger predictors of use than disability. Nine percent of disconnected children lived in households under 100% federal poverty level and experienced some type of material hardship. Conclusions: Future research about the economic security of children with ASD and their families could focus on the following 3 areas of inquiry: assess how race, ethnicity, or socioeconomic position interact with disability to influence safety net program use; examine the intersection between Medicaid and safety net programs at the state and national levels; and identify specific subgroups of children at risk for disconnection and understand why they are not accessing benefits.

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APA

Anderson, K. A., Roux, A. M., Rast, J. E., Garfield, T., & Shea, L. (2024). Low-Income Households of Children With Autism and the Economic Safety Net. Academic Pediatrics, 24(2), 258–266. https://doi.org/10.1016/j.acap.2023.11.001

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