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

ABSTRACT:

Background

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.

Objectives

To illustrate through two practical examples how to perform intra-database validations of case-identifying algorithms using reconstituted Electronic Health Records (rEHRs).

Methods

Patients with 1) multiple sclerosis (MS) relapses and 2) metastatic castration-resistant prostate cancer (mCRPC) were identified in the French nationwide healthcare database (SNDS) using two case-identifying algorithms. A validation study was then conducted to estimate diagnostic performances of these algorithms

SUBMITTER: Thurin NH 

PROVIDER: S-EPMC8088022 | biostudies-literature | 2021 May

REPOSITORIES: biostudies-literature