Identifying the DEAD: Development and Validation of a Patient-Level Model to Predict Death Status in Population-Level Claims Data.

ABSTRACT:

Introduction

US claims data contain medical data on large heterogeneous populations and are excellent sources for medical research. Some claims data do not contain complete death records, limiting their use for mortality or mortality-related studies. A model to predict whether a patient died at the end of the follow-up time (referred to as the end of observation) is needed to enable mortality-related studies.

Objective

The objective of this study was to develop a patient-level model to predict whether the end of observation was due to death in US claims data.

Methods

We used a claims dataset with full death records, Optum^© De-Identified Clinformatics^® Data-Mart-Database-Date of Death mapped to the Observational Medical Outcome Partnership common

SUBMITTER: Reps JM 

PROVIDER: S-EPMC6834730 | biostudies-literature | 2019 Nov

REPOSITORIES: biostudies-literature