A systematic review of validated methods for identifying patients with rheumatoid arthritis using administrative or claims data

A systematic review of validated methods for identifying patients with rheumatoid arthritis using administrative or claims data

Highlights • Nine studies reported validated algorithms. • Algorithms had positive predictive values (PPV) ranging from 34 to 97%. • ≥2 codes + RA medication ± diagnosis by a rheumatologist yielded higher PPVs.

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Bibliographische Detailangaben
Veröffentlicht in:Vaccine 2013-12, Vol.31, p.K41-K61
Hauptverfasser: Chung, Cecilia P, Rohan, Patricia, Krishnaswami, Shanthi, McPheeters, Melissa L
Format: Artikel
Sprache:eng
Schlagworte:
Administrative database
Age
Algorithm
Algorithms
Allergy and Immunology
Ambulatory care
Arthritis, Rheumatoid - epidemiology
Autoimmune diseases
Codes
Databases, Factual - statistics & numerical data
Disease
Drug therapy
Epidemiologic Methods
Humans
ICD-9
Incidence
Insurance Claim Review - statistics & numerical data
International Classification of Diseases - statistics & numerical data
Methods
patient care
patients
Positive predictive value
Rheumatoid arthritis
Rheumatology
Studies
systematic review
Vaccines
Validation
Validity
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Beschreibung
Zusammenfassung:Highlights • Nine studies reported validated algorithms. • Algorithms had positive predictive values (PPV) ranging from 34 to 97%. • ≥2 codes + RA medication ± diagnosis by a rheumatologist yielded higher PPVs.
ISSN:0264-410X
1873-2518
DOI:10.1016/j.vaccine.2013.03.075