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Accepted (AM)Open Access (License Unspecified), Open
Journal article
Heterogeneity in Autism Spectrum Disorder Case-Finding Algorithms in United States Health Administrative Database Analyses
Journal of autism and developmental disorders, v 52(9), pp 4150-4163
28 Sep 2021
PMID: 34581918
Featured in Collection : UN Sustainable Development Goals @ Drexel
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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Details
- Title
- Heterogeneity in Autism Spectrum Disorder Case-Finding Algorithms in United States Health Administrative Database Analyses
- Creators
- Scott D Grosse - National Center on Birth Defects and Developmental DisabilitiesPhyllis Nichols - National Center on Birth Defects and Developmental DisabilitiesKwame Nyarko - National Center on Birth Defects and Developmental DisabilitiesMatthew Maenner - National Center on Birth Defects and Developmental DisabilitiesMelissa L Danielson - National Center on Birth Defects and Developmental DisabilitiesLindsay Shea - Drexel University
- Publication Details
- Journal of autism and developmental disorders, v 52(9), pp 4150-4163
- Publisher
- Springer Nature
- Grant note
- CC999999 / Intramural CDC HHS
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- A.J. Drexel Autism Institute
- Web of Science ID
- WOS:000701721800001
- Scopus ID
- 2-s2.0-85115881310
- Other Identifier
- 991019168408304721
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- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Psychology, Developmental