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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Detalles Bibliográficos
Autores principales: Prenovost, Katherine M., Fihn, Stephan D., Maciejewski, Matthew L., Nelson, Karin, Vijan, Sandeep, Rosland, Ann-Marie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6261016/
https://www.ncbi.nlm.nih.gov/pubmed/30475823
http://dx.doi.org/10.1371/journal.pone.0206915

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6261016/
https://www.ncbi.nlm.nih.gov/pubmed/30475823
http://dx.doi.org/10.1371/journal.pone.0206915

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