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Heterogeneity in Autism Spectrum Disorder Case-Finding Algorithms in United States Health Administrative Database Analyses.

Strengthening systems of care to meet the needs of individuals with autism spectrum disorder (ASD) is of growing importance. Administrative data provide advantages for research and planning purposes, including large sample sizes and the ability to identify enrollment in insurance coverage and servic...

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Publicado en:Journal of Autism & Developmental Disorders Vol. 52; no. 9; pp. 4150 - 4164
Autores principales: Grosse, Scott D., Nichols, Phyllis, Nyarko, Kwame, Maenner, Matthew, Danielson, Melissa L., Shea, Lindsay
Formato: review tables/charts Journal Article
Publicado: Springer Nature Sep2022
Acceso en línea:Ver este registro en EBSCOhost
Sumario:Strengthening systems of care to meet the needs of individuals with autism spectrum disorder (ASD) is of growing importance. Administrative data provide advantages for research and planning purposes, including large sample sizes and the ability to identify enrollment in insurance coverage and service utilization of individuals with ASD. Researchers have employed varying strategies to identify individuals with ASD in administrative data. Differences in these strategies can limit the comparability of results across studies. This review describes implications of the varying strategies that have been employed to identify individuals with ASD in US claims databases, with consideration of the strengths and limitations of each approach.