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

Grosse, Scott D.; Nichols, Phyllis; Nyarko, Kwame; Maenner, Matthew; Danielson, Melissa L.; Shea, Lindsay

doi:10.1007/s10803-021-05269-1

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

9 2022
By Grosse, Scott D. ; Nichols, Phyllis ; Nyarko, Kwame ; ...
http://dx.doi.org/10.1007/s10803-021-05269-1
Source: J Autism Dev Disord. 52(9):4150-4163

[PDF-368.87 KB]

English

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Details:

Alternative Title:

J Autism Dev Disord
Personal Author:

Grosse, Scott D. ; Nichols, Phyllis ; Nyarko, Kwame ; Maenner, Matthew ; Danielson, Melissa L. ; ... More +

Grosse, Scott D. ; Nichols, Phyllis ; Nyarko, Kwame ; Maenner, Matthew ; Danielson, Melissa L. ; Shea, Lindsay Less -
Description:

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.
Subjects:

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Algorithms Autism Spectrum Disorder Databases, Factual Humans Insurance Coverage United States
Keywords:

[+]

Autism Spectrum Disorder Case-finding Algorithms Claims Data Health Services Research
Source:

J Autism Dev Disord. 52(9):4150-4163
Pubmed ID:

34581918
Pubmed Central ID:

PMC9077262
Document Type:

Journal Article
Funding:

CC999999/ImCDC/Intramural CDC HHSUnited States/
Collection(s):

CDC Public Access
Main Document Checksum:

[+]

urn:sha-512:71bb27fa298bd138bab10033989dadbf9338ee23920bb281c46c0dcc1bf456e5fe7a2deccdf866ebf8b847bb79afa2fb89a5eef233eb838f4bcba25e9129b016
Download URL:

https://stacks.cdc.gov/view/cdc/117076/cdc_117076_DS1.pdf
File Type:

	nihms-1800861.nxml	xml
	NIHMS1800861-supplement-Supplemental_table.docx	docx

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