Using item response theory with health system data to identify latent groups of patients with multiple health conditions.

Using item response theory with health system data to identify latent groups of patients with multiple health conditions.

A critical step toward tailoring effective interventions for heterogeneous and medically complex patients is to identify clinically meaningful subgroups on the basis of their comorbid conditions. We applied Item Response Theory (IRT), a potentially useful tool to identify clinically meaningful subgr...

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Bibliographic Details
Main Authors: Katherine M Prenovost, Stephan D Fihn, Matthew L Maciejewski, Karin Nelson, Sandeep Vijan, Ann-Marie Rosland
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2018-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC6261016?pdf=render

Internet

http://europepmc.org/articles/PMC6261016?pdf=render

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