Using latent class analysis to inform the design of an EHR-based national chronic disease surveillance model

The Multi-state EHR-based Network for Disease Surveillance (MENDS) developed a pilot electronic health record (EHR) surveillance system capable of providing national chronic disease estimates. To strategically engage partner sites, MENDS conducted a latent class analysis (LCA) and grouped states by...

Descripción completa

Detalles Bibliográficos
Autores principales: Nasuti, Laura, Andrews, Bonnie, Li, Wenjun, Wiltz, Jennifer, Hohman, Katherine H, Patanian, Miriam
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2022
Materias:
Short Reports
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10515457/
https://www.ncbi.nlm.nih.gov/pubmed/35505590
http://dx.doi.org/10.1177/17423953221099043

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10515457/
https://www.ncbi.nlm.nih.gov/pubmed/35505590
http://dx.doi.org/10.1177/17423953221099043

Ejemplares similares