Algorithms for identification of Guillain–Barré Syndrome among adolescents in claims databases

Highlights ► We examine algorithms that improve identification of true GBS cases in claims data. ► Only 29% of patients with ICD-9 code 357.0 were confirmed cases of GBS. ► Inpatient GBS code (primary position) and neurology visit gave highest PPV (70%). ► Leading algorithm performs similarly in 4 d...

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Bibliographic Details
Published in:Vaccine 2013-04, Vol.31 (16), p.2075-2079
Main Authors: Funch, Donnie, Holick, Crystal, Velentgas, Priscilla, Clifford, Robin, Wahl, Peter M, McMahill-Walraven, Cheryl, Gladowski, Patricia, Platt, Richard, Amato, Anthony, Chan, K. Arnold
Format: Article
Language:English
Subjects:
Administrative claims
Adolescence
Adolescent
adolescents
Algorithms
Allergy and Immunology
Applied microbiology
Biological and medical sciences
Child
Clinical Coding
Databases, Factual
diagnostic techniques
ecolabeling
Female
Fundamental and applied biological sciences. Psychology
GBS
Guillain-Barre Syndrome
Guillain-Barre Syndrome - diagnosis
Guillain-Barre Syndrome - epidemiology
Health insurance
Hospitals
Humans
Insurance Claim Reporting
International Classification of Diseases
Male
Medical Records
Medical research
Microbiology
patients
PPV
prediction
Reproducibility of Results
Studies
vaccines
Vaccines, antisera, therapeutical immunoglobulins and monoclonal antibodies (general aspects)
Validation
Young Adult
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Summary:Highlights ► We examine algorithms that improve identification of true GBS cases in claims data. ► Only 29% of patients with ICD-9 code 357.0 were confirmed cases of GBS. ► Inpatient GBS code (primary position) and neurology visit gave highest PPV (70%). ► Leading algorithm performs similarly in 4 different claims environments.
ISSN:0264-410X
1873-2518
DOI:10.1016/j.vaccine.2013.02.009