Health Disparities among Children with Autism Spectrum Disorders: Analysis of the National Survey of Children's Health 2016
By: Karpur, Arun.
Contributor(s): Dixon, Pamela J | Frazier, Thomas | Lello, Angela | Shih, Andy J.
Series: Journal of Autism and Developmental Disorders 49 (4) 1652-1664: 2019. 2019Disc region: text file PDF rda.Content type: text Media type: computer Carrier type: online resource Online resources: Read this Article Summary: Utilizing the 2016 National Survey of Children's Health, this study illustrates that children with ASD have nearly 4 times higher odds of unmet health care needs compared to children without disabilities, whereas children with other disabilities had nearly 2 times higher odds of unmet health care needs compared to children without disabilities. Applying Andersen's Behavioral Model of health care utilization, this study estimates that enabling factors (e.g., access to health insurance, quality of health insurance, access to family-centered care, family-level stress, exposure to adverse childhood experiences, and parental employment) improved prediction of regression model for unmet health care needs by 150%. Policy and program implications are discussed and a new framework for responding to observed disparities is discussed.| Item type | Current library | Call number | Status | Date due | Barcode | Item holds | |
|---|---|---|---|---|---|---|---|
| Article Research | IHC Library | Article (Browse shelf(Opens below)) | Available (Article available on request) | 07/s10803-018-3862-9 |
Utilizing the 2016 National Survey of Children's Health, this study illustrates that children with ASD have nearly 4 times higher odds of unmet health care needs compared to children without disabilities, whereas children with other disabilities had nearly 2 times higher odds of unmet health care needs compared to children without disabilities. Applying Andersen's Behavioral Model of health care utilization, this study estimates that enabling factors (e.g., access to health insurance, quality of health insurance, access to family-centered care, family-level stress, exposure to adverse childhood experiences, and parental employment) improved prediction of regression model for unmet health care needs by 150%. Policy and program implications are discussed and a new framework for responding to observed disparities is discussed.
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