Development of algorithms for identifying patients with Crohn's disease in the Japanese health insurance claims database.

ABSTRACT:

Background

Real-world big data studies using health insurance claims databases require extraction algorithms to accurately identify target population and outcome. However, no algorithm for Crohn's disease (CD) has yet been validated. In this study we aim to develop an algorithm for identifying CD using the claims data of the insurance system.

Methods

A single-center retrospective study to develop a CD extraction algorithm from insurance claims data was conducted. Patients visiting the Kitasato University Kitasato Institute Hospital between January 2015-February 2019 were enrolled, and data were extracted according to inclusion criteria combining the Tenth Revision of the International Statistical Classification of Diseases and Related Health Problems (ICD-10) diagnosis codes

SUBMITTER: Morikubo H 

PROVIDER: S-EPMC8513890 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature