Using all-payer claims data for health surveillance of people with intellectual and developmental disabilities.
Administrative Claims, Healthcare
/ statistics & numerical data
Adolescent
Adult
Algorithms
Child
Child, Preschool
Developmental Disabilities
Female
Humans
Infant
Insurance, Health
/ statistics & numerical data
Intellectual Disability
Male
Medicaid
/ statistics & numerical data
Medicare
/ statistics & numerical data
Middle Aged
New Hampshire
United States
Young Adult
IDD
Medicaid
all-payer claims
health surveillance
Journal
Journal of intellectual disability research : JIDR
ISSN: 1365-2788
Titre abrégé: J Intellect Disabil Res
Pays: England
ID NLM: 9206090
Informations de publication
Date de publication:
04 2019
04 2019
Historique:
received:
10
04
2018
revised:
11
10
2018
accepted:
16
11
2018
pubmed:
24
12
2018
medline:
6
8
2020
entrez:
22
12
2018
Statut:
ppublish
Résumé
To address limitations and challenges associated with current health surveillance of people with intellectual and developmental disabilities (IDD), this study investigates the use of all-payer claims data to identify and characterise this population. All-payer claims data from 2010 to 2014 were used to study people with IDD in New Hampshire. Starting with the Centers for Medicare and Medicaid Services' algorithm, IDD was defined using ICD-9 diagnosis codes. Additional ICD-9 codes for developmental disabilities were included to build the knowledge base begun by recent research conducted on Medicaid claimants in five other states. Findings showed the enhanced algorithm offers a replicable and feasible way to conduct health surveillance of people with IDD at the state level. Substantive and significant differences between Medicaid and commercial claimants suggest that using all-payer claims provides a richer and more complete method for health surveillance of people with IDD.
Sections du résumé
BACKGROUND
To address limitations and challenges associated with current health surveillance of people with intellectual and developmental disabilities (IDD), this study investigates the use of all-payer claims data to identify and characterise this population.
METHOD
All-payer claims data from 2010 to 2014 were used to study people with IDD in New Hampshire. Starting with the Centers for Medicare and Medicaid Services' algorithm, IDD was defined using ICD-9 diagnosis codes. Additional ICD-9 codes for developmental disabilities were included to build the knowledge base begun by recent research conducted on Medicaid claimants in five other states.
RESULTS
Findings showed the enhanced algorithm offers a replicable and feasible way to conduct health surveillance of people with IDD at the state level.
CONCLUSION
Substantive and significant differences between Medicaid and commercial claimants suggest that using all-payer claims provides a richer and more complete method for health surveillance of people with IDD.
Types de publication
Journal Article
Research Support, U.S. Gov't, P.H.S.
Langues
eng
Sous-ensembles de citation
IM
Pagination
327-337Subventions
Organisme : NCBDD CDC HHS
ID : U01 DD000917
Pays : United States
Informations de copyright
© 2018 MENCAP and International Association of the Scientific Study of Intellectual and Developmental Disabilities and John Wiley & Sons Ltd.