Validation of an algorithm for identifying MS cases in administrative health claims datasets.

ABSTRACT:

Objective

To develop a valid algorithm for identifying multiple sclerosis (MS) cases in administrative health claims (AHC) datasets.

Methods

We used 4 AHC datasets from the Veterans Administration (VA), Kaiser Permanente Southern California (KPSC), Manitoba (Canada), and Saskatchewan (Canada). In the VA, KPSC, and Manitoba, we tested the performance of candidate algorithms based on inpatient, outpatient, and disease-modifying therapy (DMT) claims compared to medical records review using sensitivity, specificity, positive and negative predictive values, and interrater reliability (Youden J statistic) both overall and stratified by sex and age. In Saskatchewan, we tested the algorithms in a cohort randomly selected from the general population.

Results

The preferred algo

SUBMITTER: Culpepper WJ 

PROVIDER: S-EPMC6442008 | biostudies-literature | 2019 Mar

REPOSITORIES: biostudies-literature