Examining the Prevalence Rates of Autism Diagnosis by Race/Ethnicity for Medicaid-Eligible Children Enrolled in NYC Universal Pre-Kindergarten Programs

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Bibliographic Details
Title: Examining the Prevalence Rates of Autism Diagnosis by Race/Ethnicity for Medicaid-Eligible Children Enrolled in NYC Universal Pre-Kindergarten Programs
Language: English
Authors: Strassfeld, Natasha M. (ORCID 0000-0002-8522-2272), Cherng, Hua-Yu Sebastian (ORCID 0000-0003-2444-4354), Wang, Scarlett (ORCID 0000-0003-2687-0365), Glied, Sherry (ORCID 0000-0001-9432-1662)
Source: Journal of Research in Childhood Education. 2023 37(3):476-491.
Availability: Routledge. Available from: Taylor & Francis, Ltd. 530 Walnut Street Suite 850, Philadelphia, PA 19106. Tel: 800-354-1420; Tel: 215-625-8900; Fax: 215-207-0050; Web site: http://www.tandf.co.uk/journals
Peer Reviewed: Y
Page Count: 16
Publication Date: 2023
Document Type: Journal Articles
Reports - Research
Education Level: Early Childhood Education
Preschool Education
Descriptors: Autism Spectrum Disorders, Incidence, Preschool Education, Racial Differences, Ethnicity, Probability, Clinical Diagnosis, Learning Disabilities, Physical Disabilities, Disproportionate Representation, Whites, Minority Groups, Children, Access to Education, Health Insurance, Low Income Groups
Geographic Terms: New York (New York)
DOI: 10.1080/02568543.2023.2213281
ISSN: 0256-8543
2150-2641
Abstract: This study examines autism diagnosis prevalence within the New York City (NYC) Universal Pre-K for All (UPK) program expansion into racially, ethnically, and socioeconomically diverse NYC neighborhoods. Here, it is hypothesized that racial/ethnic differences in autism diagnoses may close as more children are referred for testing by UPK programs, which they have more thorough interactions with, instead of by public health clinics or other medical avenues. Using NYC Medicaid claim data from 2006 to 2016, descriptive analyses were conducted by estimating linear probability regression and generalized multiple logistic regression to examine whether the probabilities of being diagnosed with autism in comparison to two other disability types (as counterfactuals), learning disabilities (LD) and physical disabilities (PD), differ by race. Subsequently, a difference in difference (DID) strategy (with pre- and post-UPK expansion cohorts) was used to examine the effects of UPK on the probabilities of receiving disability diagnoses. Notably, Latinx and "Other" racially identified children have much higher odds than White children of being diagnosed with autism. By contrast, all non-White groups had much lower odds of being diagnosed with a LD. These findings offer important insight for future UPK and childhood program implementation.
Abstractor: As Provided
Entry Date: 2023
Accession Number: EJ1396128
Database: ERIC
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Description
Abstract:This study examines autism diagnosis prevalence within the New York City (NYC) Universal Pre-K for All (UPK) program expansion into racially, ethnically, and socioeconomically diverse NYC neighborhoods. Here, it is hypothesized that racial/ethnic differences in autism diagnoses may close as more children are referred for testing by UPK programs, which they have more thorough interactions with, instead of by public health clinics or other medical avenues. Using NYC Medicaid claim data from 2006 to 2016, descriptive analyses were conducted by estimating linear probability regression and generalized multiple logistic regression to examine whether the probabilities of being diagnosed with autism in comparison to two other disability types (as counterfactuals), learning disabilities (LD) and physical disabilities (PD), differ by race. Subsequently, a difference in difference (DID) strategy (with pre- and post-UPK expansion cohorts) was used to examine the effects of UPK on the probabilities of receiving disability diagnoses. Notably, Latinx and "Other" racially identified children have much higher odds than White children of being diagnosed with autism. By contrast, all non-White groups had much lower odds of being diagnosed with a LD. These findings offer important insight for future UPK and childhood program implementation.
ISSN:0256-8543
2150-2641
DOI:10.1080/02568543.2023.2213281