Intra-database validation of case-identifying algorithms using reconstituted electronic health records from healthcare claims data.

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

https://www.ncbi.nlm.nih.gov/pubmed/33933001

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