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Journal of Autism and Developmental Disorders

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01-03-2009 | Original Paper

Detecting Autism Spectrum Disorder from Early Intervention Charts: Methodology and Preliminary Findings

Auteurs: Patricia O. Towle, Paul F. Visintainer, Colleen O’Sullivan, N. Elizabeth Bryant, Suzanne Busby

Gepubliceerd in: Journal of Autism and Developmental Disorders | Uitgave 3/2009

Abstract

Federal laws mandating a “single point of entry” for early intervention (EI) create a potential database for surveillance of early childhood disabilities. This study evaluated EI records for estimating rates of autism spectrum disorder (ASD) using a chart abstraction protocol, with good interrater agreement (k = .86). Sampling 304 EI records yielded a point prevalence of (per 1,000) 8.5 (95% CI: 4.8–10.9) and a cumulative incidence of 7.4 (95% CI: 5.5–12.4). These rates are similar to recent published estimates. Additionally, the male-to-female ratio for autism, and rates of other developmental disorders were found to be consistent with current literature. These results suggest that local systems EI records may provide an excellent resource for ASD surveillance and research.

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Akshoomoff, N., Pierce, K., & Courchesne, E. (2002). The neurological basis of autism from a developmental perspective. Development and Psychopathology, 14, 613. doi:10.1017/S0954579402003115634.PubMedCrossRef

Baird, G., Charman, T., Baron-Cohen, S., Cox, A., Swettenham, J., Wheelwright, S., et al. (2000). A screening instrument for autism at 18 months of age: A 6-year follow-up study. Journal of the American Academy of Child and Adolescent Psychiatry, 39, 694–702.PubMedCrossRef

Baird, G., Simonoff, E., Pickles, A., Chandler, S., Loucas, T., Meldrum, D., et al. (2006). Prevalence of disorders of the autism spectrum in a population cohort of children in South Thames: The Special Needs and Autism Project (SNAP). Lancet, 368, 210–215.PubMedCrossRef

Centers for Disease Control and Prevention. (1994). Down syndrome prevalence at birth: United States, 1983–1990. Morbidity and Mortality Weekly Report, 43, 617–622.

Centers for Disease Control and Prevention. (2007). Prevalence of autism spectrum disorders—autism and developmental disabilities monitoring network, six sites, United States, 2000; Prevalence of autism spectrum disorders—autism and developmental disabilities monitoring network, 14 sites, United States, 2002. Morbidity and Mortality Weekly Report, 56(SS-1), 12–28.

Chakrabarti, S., & Fombonne, E. (2001). Pervasive developmental disorders in preschool children. Journal of the American Medical Association, 285, 3093–3099.PubMedCrossRef

Charman, T. (2002). The prevalence of autism spectrum disorders: Recent evidence and future challenges. European Child and Adolescent Psychiatry, 11, 249–256.PubMedCrossRef

Charman, T., Taylor, E., Drew, A., Cockerill, H., Brown, J., & Baird, G. (2005). Outcome at 7 years of children diagnosed with autism at age 2: Predictive validity of assessments conducted at 2 and 3 years of age and pattern of symptom change over time. Journal of Child Psychology and Psychiatry, 46, 500–513.PubMedCrossRef

Cicchetti, D. V., & Heavens, R. (1979). RATCAT (Rater Agreement/Categorical Data). The American Statistician, 33, 91.CrossRef

Cicchetti, D. V., & Sparrow, S. S. (1981). Developing criteria for establishing interrater reliability of specific items: Applications to assessment of adaptive behavior. American Journal of Mental Deficiency, 86, 127–137.PubMed

Cicchetti, D. V., Volkmar, F., Sparrow, S. S., Cohen, D., Fermanian, J., & Rourke, B. P. (1992). Assessing the reliability of clinical scales when the data have both nominal and ordinal features: Proposed guidelines for neuropsychological assessments. Journal of Clinical and Experimental Neuropsychology, 14, 673–686.PubMedCrossRef

Courchesne, E., Redcay, E., Morgan, J. T., & Kennedy, D. P. (2005). Autism at the beginning: Microstructural and growth abnormalities underlying the cognitive and behavioral phenotype of autism. Development and Psychopathology, 17, 577–597.PubMedCrossRef

Cox, A., Klein, K., Charman, T., Baird, G., Baron-Cohen, S., Swettenham, J., et al. (1999). Autism spectrum disorders at 20 and 42 months of age: Stability of clinical and ADI-R diagnosis. Journal of Child Psychology and Psychiatry, 40, 719–732.PubMedCrossRef

Croen, L. A., Grether, J. K., Hoogstrate, J., & Selvin, S. (2002). The changing prevalence of autism in California. Journal of Autism and Developmental Disorders, 32, 207–216.PubMedCrossRef

Dawson, G., Webb, S., Schellenberg, G. D., Dager, S., Friedman, S., Aylward, E., et al. (2002). Defining the broader phenotype of autism: Genetic, brain, and behavioral perspectives. Development and Psychopathology, 14, 581–611.PubMedCrossRef

Donner, A., & Eliasziw, M. (1992). A goodness-of-fit approach to inference procedures for the kappa statistic: Confidence interval construction, significance testing and sample size estimation. Statistics in Medicine, 11, 1151–1519.CrossRef

Fleiss, J. L. (1981). Statistical methods for rates and proportions. New York: Wiley.

Fombonne, E. (1999). Epidemiologic surveys of autism: A review. Psychological Medicine, 929, 769–786.CrossRef

Honda, H., Shimizu, Y., Imai, M., Niimi, M., & Ohashi, Y. (2005). Cumulative incidence and prevalence of childhood autism: Total population study of better accuracy and precision. Developmental Medicine and Child Neurology, 47, 10–18.PubMedCrossRef

Honda, H., Shimizu, Y., Misumi, K., Niimi, M., & Ohashi, Y. (1996). Cumulative incidence and prevalence of childhood autism in children in Japan. British Journal of Psychiatry, 169, 228–235.PubMedCrossRef

Kleinman, J. M., Ventola, P. E., Pandey, J., Verbalis, A. D., Barton, M., Hodgson, S., et al. (2008). Diagnostic stability in very young children with autism spectrum disorders. Journal of Autism and Developmental Disorders, 38, 606–615.PubMedCrossRef

Liptak, G. S. (1997). Neural tube defects. In M. Batshaw (Ed.), Children with disabilities (p. 530). Baltimore, MD: Paul H. Brookes Publishing Co.

Michelotti, J., Charman, T., Slonims, V., & Baird, G. (2002). Follow-up of children with language delay and features of autism from preschool years to middle childhood. Developmental Medicine and Child Neurology, 44, 812–819.PubMedCrossRef

M.I.N.D. Institute. (2002). Report to the legislature on the principle findings from the epidemiology of autism, California. http://mindinstitute.ucdmc.ucdavis.edu/news/study_final.pdf. Accessed 15 Jan 2007.

Montes, G. (2006). Characteristics of school-age children with autism. Journal of Developmental and Behavioral Pediatrics, 27, 379–385.PubMedCrossRef

Moore, V., & Goodson, S. (2003). How well does early diagnosis stand the test of time? Follow-up study of children assessed for autism at age 2 and development of an early diagnostic service. Autism, 7(1), 47–63.PubMed

Roizen, N. J. (1997). Down syndrome. In M. L. Batshaw (Ed.), Children with disabilities (p. 361). Baltimore, MD: Paul H. Brookes Publishing Co.

Rosner, B. (1995). Fundamentals of biostatistics. Belmont, CA: Duxbury Press.

Turner, L. M., & Stone, W. L. (2007). Variability in outcome for children with an ASD diagnosis at age 2. Child Psychology and Psychiatry, 48, 793–802.CrossRef

Turner, L. M., Stone, W. L., Pozdol, S. L., & Coonrod, E. E. (2006). Follow-up of children with autism spectrum disorders from age 2 to 9. Autism, 10, 243–265.PubMedCrossRef

Volkmar, F. R., Klin, A., & Cohen, D. J. (1997). Diagnosis and classification of autism and related condition: Consensus and issues. In D. J. Cohen & F. R. Volkmar (Eds.), Handbook of autism and pervasive developmental disorders. New York: Wiley.

Yeargin-Allsop, M., Rice, C., Karapukar, T., Doernberg, N., Boyle, C., & Murphy, C. (2003). Prevalence of autism in a US metropolitan area. Journal of the American Medical Associations, 289, 49–55.CrossRef

Titel: Detecting Autism Spectrum Disorder from Early Intervention Charts: Methodology and Preliminary Findings
Auteurs: Patricia O. Towle
Paul F. Visintainer
Colleen O’Sullivan
N. Elizabeth Bryant
Suzanne Busby
Publicatiedatum: 01-03-2009
Uitgeverij: Springer US
Gepubliceerd in: Journal of Autism and Developmental Disorders / Uitgave 3/2009
Print ISSN: 0162-3257
Elektronisch ISSN: 1573-3432
DOI: https://doi.org/10.1007/s10803-008-0643-x

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