Medical Conditions Predictive of Self-Reported Poor Health: Retrospective Cohort Study.

ABSTRACT:

Background

Identifying the medical conditions that are associated with poor health is crucial to prioritize decisions for future research and organizing care. However, assessing the burden of disease in the general population is complex, lengthy, and expensive. Claims databases that include self-reported health status can be used to assess the impact of medical conditions on the health in a population.

Objective

This study aimed to identify medical conditions that are highly predictive of poor health status using claims databases.

Methods

To determine the medical conditions most highly predictive of poor health status, we used a retrospective cohort study using 2 US claims databases. Subjects were commercially insured patients. Health status was measured using a self-

SUBMITTER: Cepeda MS 

PROVIDER: S-EPMC6996740 | biostudies-literature | 2020 Jan

REPOSITORIES: biostudies-literature