Skip to main content

Advertisement

Log in

Patterns of Special Education Eligibility and Age of First Autism Spectrum Disorder (ASD) Identification Among US Children with ASD

  • Original Paper
  • Published:
Journal of Autism and Developmental Disorders Aims and scope Submit manuscript

Abstract

The study examined timing of autism spectrum disorder (ASD) identification in education versus health settings for 8-year-old children with ASD identified through records-based surveillance. The study also examined type of ASD symptoms noted within special education evaluations. Results indicated that children with records from only education sources had a median time to identification of ASD over a year later than children with records from health sources. Black children were more likely than White children to have records from only education sources. Restricted and repetitive behaviors were less frequently documented in educational evaluations resulting in developmental delay eligibility compared to specific ASD eligibility among children with ASD. Future research could explore strategies reduce age of identification in educational settings and increase equitable access to health evaluations.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  • Akshoomoff, N., Corsello, C., & Schmidt, H. (2006). The role of the autism diagnostic observation schedule in the assessment of autism spectrum disorders in school and community settings. The California School Psychologist, 11(1), 7–19.

    Article  PubMed  Google Scholar 

  • Alfonso, V. C., & DuPaul, G. J. (2020). Introduction: The importance of early childhood development, education, and intervention. In V. C. Alfonso & G. J. DuPaul (Eds.), Healthy development in young children: Evidence-based interventions for early education (pp. 3–10). American Psychological Association.

    Google Scholar 

  • Alfonso, V. C., Engler, J. R., & Lepore, J. C. C. (2020). Assessing and evaluating young children: Developmental domains and methods. In V. C. Alfonso & G. J. DuPaul (Eds.), Healthy development in young children: Evidence-based interventions for early education (pp. 13–44). American Psychological Association.

    Google Scholar 

  • American Psychiatric Association. (2013). Diagnostic and statistical manual of mental disorders (DSM-5®). American Psychiatric Pub.

    Book  Google Scholar 

  • Ault-Brutus, A., & Alegria, M. (2018). Racial/ethnic differences in perceived need for mental health care and disparities in use of care among those with perceived need in 1990–1992 and 2001–2003. Ethnicity & Health, 23(2), 142–157.

    Article  Google Scholar 

  • Autism and Developmental Disabilities Monitoring Network (ADDM). (2012). ADDM abstraction manual. ADDM.

    Google Scholar 

  • Autism and Developmental Disabilities Monitoring Network Surveillance Year 2006 Principal Investigators, & Centers for Disease Control and Prevention (CDC). (2009). Prevalence of autism spectrum disorders—Autism and developmental disabilities monitoring network, United States, 2006. Morbidity and Mortality Weekly Report. Surveillance Summaries (Washington, D.C.: 2002), 58(10), 1–20.

    Google Scholar 

  • Autism and Developmental Disabilities Monitoring Network Surveillance Year 2008 Principal Investigators, & Centers for Disease Control and Prevention. (2012). Prevalence of autism spectrum disorders—Autism and developmental disabilities monitoring network, 14 sites, United States, 2008. Morbidity and Mortality Weekly Report. Surveillance Summaries (Washington, D.C.: 2002), 61(3), 1–19.

    Google Scholar 

  • Azad, G., & Mandell, D. S. (2016). Concerns of parents and teachers of children with autism in elementary school. Autism, 20(4), 435–441.

    Article  PubMed  Google Scholar 

  • Baio, J. (2014). Prevalence of autism spectrum disorder among children aged 8 years-autism and developmental disabilities monitoring network, 11 sites, United States, 2010.

  • Baio, J., Wiggins, L., Christensen, D. L., Maenner, M. J., Daniels, J., … Dowling, N. F. (2018). Prevalence of autism spectrum disorder among children aged 8 years—Autism and developmental disabilities monitoring network, 11 Sites, United States, 2014. Morbidity and Mortality Weekly Report. Surveillance Summaries (Washington, D.C.: 2002)67(6), 1–23.

  • Barton, E. E., Harris, B., Leech, N., Stiff, L., Choi, G., & Joel, T. (2016). An analysis of state autism educational assessment practices and requirements. Journal of Autism and Developmental Disorders, 46(3), 737–748.

    Article  PubMed  Google Scholar 

  • Bender, M. S., Nader, P. R., Kennedy, C., & Gahagan, S. (2013). A culturally appropriate intervention to improve health behaviors in Hispanic mother–child dyads. Childhood Obesity, 9(2), 157–163.

    Article  PubMed  PubMed Central  Google Scholar 

  • Bhasin, T. K., & Schendel, D. (2007). Sociodemographic risk factors for autism in a US metropolitan area. Journal of Autism and Developmental Disorders, 37(4), 667–677.

    Article  PubMed  Google Scholar 

  • Bishop, S. L., Richler, J., Cain, A. C., & Lord, C. (2007). Predictors of perceived negative impact in mothers of children with autism spectrum disorder. American Journal of Mental Retardation, 112, 450–461.

    Article  PubMed  Google Scholar 

  • Boyd, B. A., McDonough, S. G., & Bodfish, J. W. (2012). Evidence-based behavioral interventions for repetitive behaviors in autism. Journal of Autism and Developmental Disorders, 42(6), 1236–1248.

    Article  PubMed  PubMed Central  Google Scholar 

  • Boyd, B. A., McDonough, S. G., Rupp, B., Khan, F., & Bodfish, J. W. (2011). Effects of a family-implemented treatment on the repetitive behaviors of children with autism. Journal of Autism and Developmental Disorders, 41, 1330–1341.

    Article  PubMed  PubMed Central  Google Scholar 

  • Bradley-Klug, K. L., Jeffries-DeLoatche, K. L., Walsh, A. S., Bateman, L. P., Nadeau, J., Powders, D. J., & Cunningham, J. (2013). School psychologists’ perceptions of primary care partnerships: Implications for building the collaborative bridge. Advances in School Mental Health Promotion, 6, 51–67.

    Article  Google Scholar 

  • Campbell, F. A., & Ramey, C. T. (1994). Effects of early intervention on intellectual and academic achievement: A follow-up study of children from low-income families. Child Development, 65, 684–698.

    Article  PubMed  Google Scholar 

  • Campbell, J. M., Ruble, L. A., & Hammond, R. K. (2014). Evidence-based assessment of autism spectrum disorders. Autism spectrum disorders in children and adolescents: Evidence-based assessment and intervention (pp. 51–73). American Psychological Association.

    Google Scholar 

  • Carbone, P. S., Behl, D. D., Azor, V., & Murphy, N. A. (2010). The medical home for children with autism spectrum disorders: Parent and pediatrician perspectives. Journal of Autism and Developmental Disorders, 40, 317–324.

    Article  PubMed  Google Scholar 

  • Centers for Disease Control and Prevention. (2007). Prevalence of autism spectrum disorders—Autism and developmental disabilities monitoring network, 14 sites, United States, 2002. Morbidity and Mortality Weekly Report. Surveillance Summaries (Washington, DC: 2002), 56(1), 12–28.

    Google Scholar 

  • Christensen, D. L., Baio, J., Van Naarden Braun, K., Bilder, D., Charles, J, … Centers for Disease Control and Prevention (CDC) (2016). Prevalence and characteristics of autism spectrum disorder among children aged 8 years—Autism and developmental disabilities monitoring network, 11 sites, United States, 2012. Morbidity and Mortality Weekly Report. Surveillance Summaries (Washington, D.C.: 2002)65(3), 1–23.

  • Cunningham, A. B., & Schreibman, L. (2008). Stereotypy in autism: The importance of function. Research in Autism Spectrum Disorders, 2(3), 469–479.

    Article  PubMed  PubMed Central  Google Scholar 

  • Danaher, J. (2011). Eligibility policies and practices for young children under part B of IDEA. (NECTAC Notes. No. 27.). National Early Childhood Technical Assistance Center (NECTAC).

    Google Scholar 

  • Daniels, A. M., & Mandell, D. S. (2014). Explaining differences in age at autism spectrum disorder diagnosis: A critical review. Autism, 18(5), 583–597.

    Article  PubMed  Google Scholar 

  • Dawson, G., Rogers, S., Munson, J., Smith, M., Winter, J., Greenson, J., ... Varley, J. (2010). Randomized, controlled trial of an intervention for toddlers with autism: The Early Start Denver Model. Pediatrics125(1), e17–e23.

  • Dawson, G., Jones, E. J., Merkle, K., Venema, K., Lowy, R., Faja, S., ... Webb, S. J. (2012). Early behavioral intervention is associated with normalized brain activity in young children with autism. Journal of the American Academy of Child & Adolescent Psychiatry51(11), 1150–1159.

  • Division for Early Childhood (DEC). (2009). Concept paper: Developmental delay as an eligibility category. Retrieved from https://www.decdocs.org/concept-paper-developmental-delay

  • Doshi-Velez, F., Ge, Y., & Kohane, I. (2014). Comorbidity clusters in autism spectrum disorders: An electronic health record time-series analysis. Pediatrics, 133(1), e54–e63.

    Article  PubMed  PubMed Central  Google Scholar 

  • Doyle, J. (2008). Barriers and facilitators of multidisciplinary team working: A review. Paediatric Nursing, 20, 26–29.

    Article  PubMed  Google Scholar 

  • Esler, A. N., & Ruble, L. A. (2015). DSM-5 diagnostic criteria for autism spectrum disorder with implications for school psychologists. International Journal of School & Educational Psychology, 3(1), 1–15.

    Article  Google Scholar 

  • Filipek, P. A., Accardo, P. J., Baranek, G. T., Cook, E. H., Dawson, G., Gordon, B., ... Volkmar, F. R. (1999). The screening and diagnosis of autistic spectrum disorders. Journal of Autism and Developmental Disorders29(6), 439–484.

  • Grahame, V., Brett, D., Dixon, L., McConachie, H., Lowry, J., Rodgers, J., ... Le Couteur, A. (2015). Managing repetitive behaviours in young children with autism spectrum disorder (ASD): Pilot randomised controlled trial of a new parent group intervention. Journal of Autism and Developmental Disorders45(10), 3168–3182.

  • Hojnoski, R. L., & Missall, K. N. (2020). Considerations and methods in assessing early learning and social–emotional development in young children. In V. C. Alfonso & G. J. DuPaul (Eds.), Healthy development in young children: Evidence-based interventions for early education (pp. 45–63). American Psychological Association.

    Google Scholar 

  • Huerta, M., & Lord, C. (2012). Diagnostic evaluation of autism spectrum disorders. Pediatric Clinics of North America, 59(1), 103–111.

    Article  PubMed  PubMed Central  Google Scholar 

  • Hyman, S. L., Levy, S. E., & Myers, S. M. (2020). Identification, evaluation, and management of children with autism spectrum disorder. Pediatrics, 145(1), e20193447.

    Article  PubMed  Google Scholar 

  • Imm, P., White, T., & Durkin, M. S. (2019). Assessment of racial and ethnic bias in autism spectrum disorder prevalence estimates from a US surveillance system. Autism, 23(8), 1927–1935.

    Article  PubMed  PubMed Central  Google Scholar 

  • Individuals with Disabilities Education Improvement Act of 2004, 20 U.S.C. § 1400 (2004).

  • Kaat, A. J., Shui, A. M., Ghods, S. S., Farmer, C. A., Esler, A. N., Thurm, A., ... Bishop, S. L. (2021). Sex differences in scores on standardized measures of autism symptoms: A multisite integrative data analysis. Journal of Child Psychology and Psychiatry, 62(1), 97–106.

  • Klin, A., Saulnier, C., Tsatsanis, K., & Volkmar, F. R. (2005). Clinical evaluation in autism spectrum disorders: Psychological assessment within a transdisciplinary framework. Handbook of Autism and Pervasive Developmental Disorders, 2, 772–798.

    Article  Google Scholar 

  • Kogan, M. D., Strickland, B. B., Blumberg, S. J., Singh, G. K., Perrin, J. M., & van Dyck, P. C. (2008). A national profile of the health care experiences and family impact of autism spectrum disorder among children in the United States, 2005–2006. Pediatrics, 122, e1149–e1158.

    Article  PubMed  Google Scholar 

  • Landa, R. J. (2018). Efficacy of early interventions for infants and young children with, and at risk for, autism spectrum disorders. International Review of Psychiatry, 30(1), 25–39.

    Article  PubMed  Google Scholar 

  • Lin, C. E., & Koegel, R. (2018). Treatment for higher-order restricted repetitive behaviors (H-RRB) in children with autism spectrum disorder. Journal of Autism and Developmental Disorders, 48(11), 3831–3845.

    Article  PubMed  Google Scholar 

  • Lord, C., Rutter, M., DiLavore, P., Risi, S., Gotham, K., & Bishop, S. (2012). Autism diagnostic observation schedule, 2nd edition (ADOS-2) manual. Western Psychological Services.

    Google Scholar 

  • Maddox, B. B., Rump, K. M., Stahmer, A. C., Suhrheinrich, J., Rieth, S. R., Nahmias, A. S., ... Mandell, D. S. (2020). Concordance between a US educational autism classification and the autism diagnostic observation schedule. Journal of Clinical Child & Adolescent Psychology49(4), 469–475.

  • Maenner, M. J., Shaw, K. A., & Baio, J. (2020). Prevalence of autism spectrum disorder among children aged 8 years—Autism and developmental disabilities monitoring network, 11 sites, United States, 2016. MMWR Surveillance Summaries, 69(4), 1–12.

    Article  PubMed Central  Google Scholar 

  • Maenner, M. J., Shaw, K. A., Bakian, A. V., et al. (2021). Prevalence and characteristics of autism spectrum disorder among children aged 8 years—Autism and developmental disabilities monitoring network, 11 sites, United States, 2018. MMWR Surveillance Summaries, 70(SS-11), 1–16.

    Article  PubMed Central  Google Scholar 

  • Mandell, D. S., Novak, M. M., & Zubritsky, C. D. (2005). Factors associated with age of diagnosis among children with autism spectrum disorder. Pediatrics, 116, 1480–1486.

    Article  PubMed  Google Scholar 

  • Miles, J. H., Takahashi, T. N., Bagby, S., Sahota, P. K., Vaslow, D. F., Wang, C. H., ... Farmer, J. E. (2005). Essential versus complex autism: Definition of fundamental prognostic subtypes. American Journal of Medical Genetics Part A135(2), 171–180.

  • Norbury, C. F., & Sparks, A. (2013). Difference or disorder? Cultural issues in understanding neurodevelopmental disorders. Developmental Psychology, 49(1), 45–58.

    Article  PubMed  Google Scholar 

  • Pettygrove, S., Pinborough-Zimmerman, J., Meaney, F. J., Braun, K. V. N., Nicholas, J., Miller, L., ... Rice, C. (2013). Predictors of ascertainment of autism spectrum disorders across nine US communities. Journal of Autism and Developmental Disorders43(8), 1867–1879.

  • Pickard, K. E., & Ingersoll, B. R. (2016). Quality versus quantity: The role of socioeconomic status on parent-reported service knowledge, service use, unmet service needs, and barriers to service use. Autism, 20(1), 106–115.

    Article  PubMed  Google Scholar 

  • Rapp, J. T., & Vollmer, T. R. (2005). Stereotypy I: A review of behavioral assessment and treatment. Research in Developmental Disabilities, 26, 527–547.

    Article  PubMed  Google Scholar 

  • Ratto, A.B., Kenworthy, L., Yerys, B.E., Bascom, J., Wieckowski, A.T., White, S.W., … Anthony, L.G. (2018). What about the girls? Sex-based differences in autistic traits and adaptive skills. Journal of Autism and Developmental Disorders, 48, 1698–1711.

  • Rice, C. E., Baio, J., Van Naarden Braun, K., Doernberg, N., Meaney, F. J., Kirby, R. S., & ADDM Network. (2007). A public health collaboration for the surveillance of autism spectrum disorders. Paediatric and Perinatal Epidemiology, 21(2), 179–190.

    Article  PubMed  Google Scholar 

  • Rice, C., Nicholas, J., Baio, J., Pettygrove, S., Lee, L. C., Braun, K. V. N., ... Yeargin-Allsopp, M. (2010). Changes in autism spectrum disorder prevalence in 4 areas of the United States. Disability and Health Journal3(3), 186–201.

  • Rice, C. E., Rosanoff, M., Dawson, G., Durkin, M. S., Croen, L. A., Singer, A., & Yeargin-Allsopp, M. (2012). Evaluating changes in the prevalence of the autism spectrum disorders (ASDs). Public Health Reviews, 34(2), 1–22.

    Article  PubMed  Google Scholar 

  • Rubenstein, E., Daniels, J., Schieve, L. A., Christensen, D. L., Van Naarden Braun, K., Rice, C. … Lee, L. C. (2018). Trends in special education eligibility among children with autism spectrum disorder, 2002–2010. Public Health Reports (Washington, D.C.: 1974)133(1), 85–92.

  • Safer-Lichtenstein, J., Hamilton, J., & McIntyre, L. L. (2020). School-based autism rates by state: An analysis of demographics, political leanings, and differential identification. Journal of Autism and Developmental Disorders, 51(7), 2271–2283.

    Article  Google Scholar 

  • Salvia, J., Ysseldyke, J. E., & Witmer, S. (2017). Assessment in special and inclusive education (13th ed.). Cengage.

    Google Scholar 

  • Shah, R. P., Kunnavakkam, R., & Msall, M. E. (2013). Pediatricians’ knowledge, attitudes, and practice patterns regarding special education and individualized education programs. Academic Pediatrics, 13, 430–435. https://doi.org/10.1016/j.acap.2013.03.003

    Article  PubMed  PubMed Central  Google Scholar 

  • Shahidullah, J. D., McClain, M. B., Azad, G., Mezher, K. R., & McIntyre, L. L. (2020). Coordinating autism care across schools and medical settings: Considerations for school psychologists. Intervention in School and Clinic, 56(2), 107–114.

    Article  Google Scholar 

  • Shattuck, P. T., Durkin, M., Maenner, M., Newschaffer, C., Mandell, D. S., Wiggins, L., ... Cuniff, C. (2009). Timing of identification among children with an autism spectrum disorder: Findings from a population-based surveillance study. Journal of the American Academy of Child & Adolescent Psychiatry48(5), 474–483.

  • Shaw, K. A., Maenner, M. J., & Baio, J. (2020). Early identification of autism spectrum disorder among children aged 4 years—Early autism and developmental disabilities monitoring network, six sites, United States, 2016. MMWR Surveillance Summaries, 69(3), 1–11.

    Article  PubMed Central  Google Scholar 

  • Sloper, P. (2004). Facilitators and barriers for coordinated multi-agency services. Child: Care Health & Development, 30, 571–580.

    Article  Google Scholar 

  • Smith, K. A., Gehricke, J. G., Iadarola, S., Wolfe, A., & Kuhlthau, K. A. (2020). Disparities in service use among children with autism: A systematic review. Pediatrics, 145(Supplement 1), S35–S46.

    Article  PubMed  Google Scholar 

  • Volkmar, F., Siegel, M., Woodbury-Smith, M., King, B., McCracken, J., & State, M. (2014). Practice parameter for the assessment and treatment of children and adolescents with autism spectrum disorder. Journal of the American Academy of Child & Adolescent Psychiatry, 53(2), 237–257.

    Article  Google Scholar 

  • Weintraub, K. (2011). The prevalence puzzle: Autism counts. Nature, 479, 22–24.

    Article  PubMed  Google Scholar 

  • Wetherby, A. M., Woods, J., Guthrie, W., Delehanty, A., Brown, J. A., Morgan, L., ... Lord, C. (2018). Changing developmental trajectories of toddlers with autism spectrum disorder: Strategies for bridging research to community practice. Journal of Speech, Language, and Hearing Research61(11), 2615-2628.

  • Wiggins, L. D., Durkin, M., Esler, A., Lee, L. C., Zahorodny, W., Rice, C., ... Baio, J. (2020). Disparities in documented diagnoses of autism spectrum disorder based on demographic, individual, and service factors. Autism Research13(3), 464–473.

  • Wilkinson, L. A. (2016). A best practice guide to assessment and intervention for autism spectrum disorder in schools. Jessica Kingsley Publishers.

    Google Scholar 

  • Yeargin-Allsopp, M., Rice, C., Karapurkar, T., Doernberg, N., Boyle, C., & Murphy, C. (2003). Prevalence of autism in a US metropolitan area. JAMA, 289(1), 49–55.

    Article  PubMed  Google Scholar 

  • Zwaigenbaum, L., Bauman, M. L., Choueiri, R., Kasari, C., Carter, A., Granpeesheh, D., ... Natowicz, M. R. (2015). Early intervention for children with autism spectrum disorder under 3 years of age: Recommendations for practice and research. Pediatrics, 136(Supplement 1), S60–S81.

Download references

Funding

The preparation of this report was supported by funding from the Centers for Disease Control and Prevention (CDC), 5 NU53DD000007-03-00.

Author information

Authors and Affiliations

Authors

Contributions

All authors contributed to the study conception and design. Material preparation and analysis were performed by ANE, JS, and JP. The first draft of the manuscript was written by ANE and all authors commented on previous versions of the manuscript. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Amy N. Esler.

Ethics declarations

Conflict of interest

Amy N. Esler, Jeannette Sample, Jennifer Hall-Lande, Bryn Harris, Catherine Rice, Jenny Poynter, Russell Kirby, Lisa Wiggins declares that they have no conflict of interest.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Esler, A.N., Sample, J., Hall-Lande, J. et al. Patterns of Special Education Eligibility and Age of First Autism Spectrum Disorder (ASD) Identification Among US Children with ASD. J Autism Dev Disord 53, 1739–1754 (2023). https://doi.org/10.1007/s10803-022-05475-5

Download citation

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10803-022-05475-5

Keywords

Navigation