Open Access<p>Development and Evaluation of a Prediction Model for Ascertaining Rheumatic Heart Disease Status in Administrative Data</p>
Author(s) -
Daniela BondSmith,
Rebecca Seth,
Nicholas de Klerk,
Lee Nedkoff,
Mellise Anderson,
Joe Hung,
Jeffrey Can,
Kalinda Griffiths,
Judith M. Katzenellenbogen
Publication year - 2020
Publication title -
clinical epidemiology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.868
H-Index - 58
ISSN - 1179-1349
DOI - 10.2147/clep.s241588
Subject(s) - medicine , diagnosis code , heart disease , linear discriminant analysis , disease , pediatrics , statistics , population , environmental health , mathematics
Previous research has raised substantial concerns regarding the validity of the International Statistical Classification of Diseases and Related Health Problems (ICD) codes (ICD-10 I05-I09) for rheumatic heart disease (RHD) due to likely misclassification of non-rheumatic valvular disease (non-rheumatic VHD) as RHD. There is currently no validated, quantitative approach for reliable case ascertainment of RHD in administrative hospital data.