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

Overview

Journal J Autism Dev Disord

Publisher Springer

Date 2021 Sep 28

PMID 34581918

Citations 6

Authors

Scott D Grosse

Phyllis Nichols

Kwame Nyarko

Matthew Maenner

Melissa L Danielson

Lindsay Shea

Affiliations

Soon will be listed here.

Abstract

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.

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