Opportunities for Improving Programs and Services for Children with Disabilities (2018) / Chapter Skim
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Appendix C: Descriptions of Data Sources
Appendix C: Descriptions of Data Sources
Pages 287-296
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From page 287... ...
. The SSI eligibility determination process evaluates whether a child's physical or mental health conditions are sufficiently severe to markedly impair the ability to function in one or more domains.
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From page 288... ...
Of the existing methods for quantifying childhood disability, the committee focused on population data surveys and use of administrative or service data, also considering post hoc analyses of subsets of data published by peer-reviewed scientific journals. POPULATION DATA SURVEYS Surveys use a variety of questions to determine whether a child has a disability.
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Post hoc analyses of NHIS data have been performed to understand prevalence of childhood disability, as well as external factors that exacerbate or mitigate the severity of a disability. Longitudinal data from the NHIS indicate that in 1960, parents reported 1.8 percent of all children under age 18 having a health condition severe enough to interfere with the usual activities of childhood on a regular basis (IOM, 2007)
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. Substantial evidence indicates that these factors exert major influences on youths' health behaviors and subsequent health, whether related to their health behavior choices, tobacco/ alcohol/substance use, diet, or exercise or to their compliance with health care interventions.
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In addition to surveys of children's health, national research studies have used population data to assess outcomes for students who receive special education services. The NLTS2 surveyed a nationally representative sample of students who were 13 to 16 years old at the time of the first survey in 2000 and were receiving special education services.
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SSA collects information on a primary diagnosis and an optional secondary diagnosis for each determination. According to the program instructions in SSA's Program Operations Manual System, "The primary diagnosis for an allowance refers to the basic condition that rendered the individual disabled, or in [the case of]
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Health Services Data As mentioned in Chapter 2, SSI eligibility automatically guarantees Medicaid eligibility in many states, but not all. Therefore, Medicaid maintains its own population statistics through the Medicaid Analytics eXtract Study (MAX)
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Conduct disorder 3.0 4.4 5.3 Emotional disturbances 1.9 5.2 6.8 Oppositional defiant disorder 1.0 4.3 5.8 Depression 0.6 3.8 8.7 Bipolar disorders 0.2 1.9 4.6 Anxiety disorders 0.7 2.0 2.3 Autism spectrum disorders 7.9 7.8 5.2 Intellectual disorders 2.9 6.3 7.6 Speech and language disorders 20.7 15.3 5.8 Hearing disorders 19.8 8.6 4.6 Learning disorders 12.1 7.4 4.4 Cerebral palsy 7.3 6.0 5.0 Asthma 12.8 8.8 5.5 Sample size 72,940 193,479 212,403 SOURCE: Medicaid Analytic Extract (MAX) data for 20 states: Alabama, Alaska, Arkansas, California, Florida, Idaho, Illinois, Indiana, Louisiana, Michigan, Mississippi, Montana, North Carolina, North Dakota, New Hampshire, New Mexico, South Dakota, Vermont, Virginia, Wyoming.
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2014. Program Operations Manual System: Medicaid and the Supplemental Security Income program.
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PowerPoint presentation to National Academies of Sciences, Engineering, and Medicine Committee on the Evaluation of the Supplemental Security Income (SSI) Disability Program for Children with Speech Disorders and Language Disorders (May 18, 2015)
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