Intra-database validation of case-identifying algorithms using reconstituted electronic health records from healthcare claims data.
Fiche publication
Date publication
mai 2021
Journal
BMC medical research methodology
Auteurs
Membres identifiés du Cancéropôle Est :
Pr GUILLEMIN Francis
Tous les auteurs :
Thurin NH, Bosco-Levy P, Blin P, Rouyer M, Jové J, Lamarque S, Lignot S, Lassalle R, Abouelfath A, Bignon E, Diez P, Gross-Goupil M, Soulié M, Roumiguié M, Le Moulec S, Debouverie M, Brochet B, Guillemin F, Louapre C, Maillart E, Heinzlef O, Moore N, Droz-Perroteau C
Lien Pubmed
Résumé
Diagnosis performances of case-identifying algorithms developed in healthcare database are usually assessed by comparing identified cases with an external data source. When this is not feasible, intra-database validation can present an appropriate alternative.
Mots clés
Case-identifying algorithm, Claims database, Multiple sclerosis, Negative predictive value, Positive predictive value, Prostate Cancer, Reconstituted electronic health record, Validation study
Référence
BMC Med Res Methodol. 2021 May 1;21(1):95